SlideShare a Scribd company logo
1 of 63
Carol Smith @carologic
Fluxible
Waterloo, Ontario, Canada
Sept. 23, 2017
UX in the Age of AI:
Where Does Design Fit In?
AI is when Machines
– Exhibit intelligence
– Perceive their environment
– Take actions to maximize
chance of success at a goal
https://developer.softbankrobotics.com/us-en/showcase/nao-ibm-create-new-hilton-concierge
IBM Watson / UX in the Age of AI / @carologic / Fluxible
In the extreme…
Google Search for “movies with AI”
Copyrights as labeled.
IBM Watson / UX in the Age of AI / @carologic / Fluxible
“Most people working in AI have a healthy skepticism for the idea
of the singularity.
We know how hard it is to get even a little intelligence into a
machine, let alone enough to achieve recursive self-
improvement.”
– Toby Walsh
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Why is the singularity so far off?
• Sheer amount of effort to build systems
– Huge amounts of related information
– Organizing and annotating
• Training requires deep understanding of the specific content
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Cognitive computers are
• Knowledgeable about what taught
• Aware of nuances
• Control ONLY what we give them control of
• Continue to learn with more data
Remember: “We can unplug the machines!”
Grady Booch, Scientist, philosopher, IBM’er https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Requires annotation of content
Image created by Angela Swindell, Visual
Designer, IBM’er on Watson Knowledge Studio
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Transfer human concepts and relationships
Photo by sunlightfoundation
https://www.flickr.com/photos/sunlightfoundation/2385174105
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Number Five “Needs Input”
Short Circuit (1986 film)
Ally Sheedy and Number Five (Tim Blaney)
https://en.wikipedia.org/wiki/Short_Circuit_(1986_film)
IBM Watson / UX in the Age of AI / @carologic / Fluxible
AI is taxonomies and ontologies coming to life
(NOT like humans learn)
https://commons.wikimedia.org/wiki/File:Baby_Boy_Oliver.jpg
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Supervised (by a human) Machine Learning
Watson Knowledge Studio, Supervised Machine Learning:
https://www.ibm.com/us-en/marketplace/supervised-machine-learning
Enormous amount of work.
Only as good as data
and time spent improving it
Biased based on what it taught
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Knowledge and Accuracy
• How important is accuracy?
• Consider a reverse card
sorting exercise
Gaffney, Gerry. (2000) What is Card Sorting? Usability Techniques Series,
Information & Design. http://www.infodesign.com.au/usabilityresources/design/cardsorting.asp
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Across industries – priority of accuracy varies
Higher Priority
90-99%+
Lower Priority
60-89% accuracy is acceptable
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Goal is saving time
Machine learning creates
more highly trained
specialists
Not an “all knowing” being
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Cancer Burden in Sub-Saharan Africa
Risk of getting cancer
and
Risk of Dying
~same
The Cancer Atlas http://canceratlas.cancer.org/the-burden/
IBM Watson / UX in the Age of AI / @carologic / Fluxible
What if we could reduce the burden?
• Bring those taxonomies and ontologies to life
• Broaden access to evidence based medicine
• More informed treatment decisions
• Helping physicians (not replacing)
IBM Watson for Oncology
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Why does training take so long?
• Create algorithms
• Gather documents
• Create ground truth (annotation)
• Run training
• Improve and test again
• Repeat (new information, etc.)
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Dependent on Experts
• Subject Matter Experts (SME’s) Availability
• Experience in Training varies
– Close collaboration
IBM Watson / UX in the Age of AI / @carologic / Fluxible
“The goal is not just the fastest
but the most productive
machine-learning platform for researchers.”
- Pradeep Dubey,
Intel Fellow at the Intel Labs division
http://www.intel.com/content/www/us/en/analytics/machine
-learning/the-race-for-faster-machine-learning.html
Humans teach what we feel is important… teach them to share our values.
Super knowing - not super doing
Grady Booch, Scientist, philosopher, IBM’er https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Examples
of AI and Cognitive Computing
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Strategic Games
• 1997 Chess, IBM
• 2016 Go, Google
Floor goban, 2007, By Goban1 https://commons.wikimedia.org/wiki/File:FloorGoban.JPG
Graphic, Science Magazine: http://www.sciencemag.org/news/2016/03/update-why-week-s-man-
versus-machine-go-match-doesn-t-matter-and-what-does
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Understanding human speech
• Watson developed for quiz show Jeopardy!
• Won against champions in 2011 for $1 million
https://en.wikipedia.org/wiki/Watson_(computer)
Video: “IBM's Watson Supercomputer Destroys Humans in Jeopardy | Engadget”
https://www.youtube.com/watch?v=WFR3lOm_xhE
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Decision Making: Self Driving (autonomous) vehicles
Junior, a robotic Volkswagen Passat, in a parking lot at Stanford University, 24
October 2009, By: Steve Jurvetson
https://en.wikipedia.org/wiki/File:Hands-free_Driving.jpg
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Image Recognition – Google Photos
Carol’s search for “cats” on her Photos account.
She likes Lacey and Magic quite a bit and being sisters, they like each other. 
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Sound recognition: Labeling of birdsongs
“Comparison of machine learning methods applied to birdsong element classification” by David
Nicholson. Proceedings of the 15th Python in Science Conference (SCIPY 2016).
http://conference.scipy.org/proceedings/scipy2016/pdfs/david_nicholson.pdf
Photo by Gallo71 (Own work) [Public domain], via Wikimedia Commons
https://commons.wikimedia.org/wiki/File%3ARbruni.JPG
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Analyzing Text: Personality of @carologic (not quite)
IBM Watson Developer Cloud, Personality Insights
https://personality-insights-livedemo.mybluemix.net/
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Automating Repetitive Work
• Highlight possible
issues
• Radiologist confirms
https://www.technologyreview.com/s/600706/ibms-automated-
radiologist-can-read-images-and-medical-records/
IBM Watson / UX in the Age of AI / @carologic / Fluxible
88,000 retina images
• Watson knows what a
healthy eye looks like
• Glaucoma is the second
leading cause of blindness
worldwide
–50% of cases go
undetected
https://twitter.com/IBMWatson/status/844545761740292096
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Chatbots for Easy ordering
• Order via text, email,
Facebook Messenger or with
a Slackbot
• Cognitive pieces:
–Speech-to-text
–Chat
–API’s in backend
Story: http://www.businesswire.com/news/home/20161025006273/en/Staples%E2%80%99-
%E2%80%9CEasy-Button%E2%80%9D-Life-IBM-Watson
Photo: Easy Button from Staples: http://www.staples.com/Staples-Easy-Button/product_606396
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Chatbots – not really AI, yet
• Mapping Q & A
–Expected language
–Appropriate automated
responses
–When to escalate
to a human
https://www.pexels.com/photo/close-up-of-mobile-phone-248512/
https://www.amazon.com/Amazon-Echo-Bluetooth-Speaker-with-WiFi-Alexa/dp/B00X4WHP5E
https://www.ibm.com/watson/developercloud/doc/conversation/index.html
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Optical character recognition (OCR)
• Used to be AI
• Now considered routine computing
Portable scanner and OCR (video)
https://en.wikipedia.org/wiki/File:Portable_scanner_and_OCR_(video).webm
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Ethics in Design for AI
IBM Watson / UX in the Age of AI / @carologic / Fluxible
How might we…
• build systems that have ethical and moral foundation?’
• that are transparent to users?
• teach mercy and justice of law?
• extend and advance healthcare?
• increase safety in dangerous work?
Grady Booch, Scientist, philosopher, IBM’er
https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence
IBM Watson / UX in the Age of AI / @carologic / Fluxible
So that we trust machines just as much
as a well-trained human?
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Guiding Principles – Ethical AI
• Purpose
• Aid humans, not replace them
• Symbiotic relationship
“3 guiding principles for ethical AI, from IBM CEO Ginni Rometty” by Alison DeNisco.
January 17, 2017, Tech Republic http://www.techrepublic.com/article/3-guiding-
principles-for-ethical-ai-from-ibm-ceo-ginni-rometty/
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Transparency
• How AI was trained
• What data was used
• Humans remain in control of the system
“3 guiding principles for ethical AI, from IBM CEO Ginni Rometty” by Alison DeNisco.
January 17, 2017, Tech Republic http://www.techrepublic.com/article/3-guiding-
principles-for-ethical-ai-from-ibm-ceo-ginni-rometty/
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Skills
• Build with people in the industry
• Human workers trained on how to use these tools
to their advantage
“3 guiding principles for ethical AI, from IBM CEO Ginni Rometty” by Alison DeNisco.
January 17, 2017, Tech Republic http://www.techrepublic.com/article/3-guiding-
principles-for-ethical-ai-from-ibm-ceo-ginni-rometty/
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Regulations
• Almost everyone agrees they are necessary
• Who will create regulations?
• Enforce?
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Create a code of conduct
• Regulations take forever
• Take responsibility
– What do you value?
– What lines won’t your AI cross?
– How do you reduce bias?
IBM Watson / UX in the Age of AI / @carologic / Fluxible
AI will
“extend human experience in profound ways”
- Grady Booch, Scientist, philosopher, IBM’er
Grady Booch, Scientist, philosopher, IBM’er
https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence
IBM Watson / UX in the Age of AI / @carologic / Fluxible
How do we evolve the practice of UX
to deal with the new issues
these technologies bring
and the new information that is created?
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Don’t fear AI - explore AI
Try the tools
Pair with others
IBM Watson Developer Tools (free trials):
https://console.ng.bluemix.net/catalog/?categ
ory=watson
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Go forth and create ethical AI’s
• Purpose
• Transparency
• Skills
• Code of Conduct
“3 guiding principles for ethical AI, from IBM CEO Ginni Rometty” by Alison DeNisco.
January 17, 2017, Tech Republic http://www.techrepublic.com/article/3-guiding-
principles-for-ethical-ai-from-ibm-ceo-ginni-rometty/
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Contact Carol
LinkedIn: https://www.linkedin.com/in/caroljsmith
Twitter - @Carologic: https://twitter.com/carologic
Slides on Slideshare: https://www.slideshare.net/carologic
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Additional Information
and Resources
IBM Watson / UX in the Age of AI / @carologic / Fluxible
“The biggest challenge here is “understanding
people, not just what they vocalize,”....
Our motivations are often not expressed upfront,
yet it is key to understanding what people want to
get done.”
- Rob High, IBM fellow and Watson CTO
https://techcrunch.com/2017/02/27/for-ibms-cto-for-watson-not-a-
lot-of-value-in-replicating-the-human-mind-in-a-computer/
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Should work to Reduce Waste
• Sharing of models, annotators, algorithms not desirable
(currently):
– Huge amount of work
– Proprietary information
• Benefits are not clear to business (yet):
– “A rising tide lifts all boats"
– Build on others work
– Solve more interesting problems
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Watson is a cognitive technology that can think like a human.
• Understand
• Analyze and interpret all kinds of data
• Unstructured text, images, audio and video
• Reason
• Understand the personality, tone, and emotion of content
• Learn
• Grow the subject matter expertise in your apps and systems
• Interact
• Create chat bots that can engage in dialog
https://www.ibm.com/watson/
IBM Watson / UX in the Age of AI / @carologic / Fluxible
More on Strategic Games
Graphic, Science Magazine: http://www.sciencemag.org/news/2016/03/update-why-week-s-man-
versus-machine-go-match-doesn-t-matter-and-what-does
IBM Watson / UX in the Age of AI / @carologic / Fluxible
The Job Question
• Make new economies
and opportunities –
potentially:
–Create jobs
–Entire new fields
• Some jobs will be lost
–What can we do to
mitigate this?
Jobs that no longer exist: The Lector http://www.ranker.com/list/jobs-that-no-
longer-exist/coy-jandreau
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Tone Analyzer - Watson
IBM Watson Developer Cloud, Tone Analyzer
https://tone-analyzer-demo.mybluemix.net/
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Optimist’s guide to the robot apocalypse - @sarahfkessler
“The optimist’s guide to the robot apocalypse” by Sarah Kessler. March 09, 2017. QZ.
@sarahfkessler https://qz.com/904285/the-optimists-guide-to-the-robot-apocalypse/
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Additional Resources
• “How IBM is Competing with Google in AI.” The Information. https://www.theinformation.com/how-ibm-is-
competing-with-google-in-ai?eu=2zIDMNYNjDp7KqL4YqAXXA
• “The business case for augmented intelligence” https://medium.com/cognitivebusiness/the-business-case-
for-augmented-intelligence-36afa64cd675
• “Comparison of machine learning methods applied to birdsong element classification” by David Nicholson.
Proceedings of the 15th Python in Science Conference (SCIPY 2016).
http://conference.scipy.org/proceedings/scipy2016/pdfs/david_nicholson.pdf
• “Staples’ “Easy Button” Comes to Life with IBM Watson” in Business Wire, October 25, 2016.
http://www.businesswire.com/news/home/20161025006273/en/Staples%E2%80%99-%E2%80%9CEasy-
Button%E2%80%9D-Life-IBM-Watson
• “How Staples Is Making Its Easy Button Even Easier With A.I.” by Chris Cancialosi, Forbes.
https://www.forbes.com/sites/chriscancialosi/2016/12/13/how-staples-is-making-its-easy-button-even-easier-
with-a-i/#4ae66e8359ef
• “Inside Intel: The Race for Faster Machine Learning”
http://www.intel.com/content/www/us/en/analytics/machine-learning/the-race-for-faster-machine-
learning.html
IBM Watson / UX in the Age of AI / @carologic / Fluxible
More Resources
• “Update: Why this week’s man-versus-machine Go match doesn’t matter (and what does)” by Dana
Mackenzie. Science Magazine. Mar. 15, 2016 http://www.sciencemag.org/news/2016/03/update-why-week-
s-man-versus-machine-go-match-doesn-t-matter-and-what-does
• “For IBM’s CTO for Watson, not a lot of value in replicating the human mind in a computer.” by Frederic
Lardinois (@fredericl), TechCrunch, Posted Feb 27, 2017. https://techcrunch.com/2017/02/27/for-ibms-cto-
for-watson-not-a-lot-of-value-in-replicating-the-human-mind-in-a-computer/
• “Google and IBM: We Want Artificial Intelligence to Help You, Not Replace You” Most Powerful Women by
Michelle Toh. Mar 02, 2017. Fortune. http://fortune.com/2017/03/02/google-ibm-artificial-intelligence/
• “Facebook scales back AI flagship after chatbots hit 70% f-AI-lure rate - 'The limitations of automation‘” by
Andrew Orlowski. Feb 22, 2017. The Register https://www.theregister.co.uk/2017/02/22/facebook_ai_fail/
• “Microsoft is deleting its AI chatbot's incredibly racist tweets” by Rob Price. Mar. 24, 2016. Business Insider
UK. http://www.businessinsider.com/microsoft-deletes-racist-genocidal-tweets-from-ai-chatbot-tay-2016-3
Special Thanks: Soundtrack to 'Run Lola Run', 1998 German thriller film written and directed by Tom Tykwer,
and starring Franka Potente as Lola and Moritz Bleibtreu as Manni. Soundtrack by Tykwer, Johnny Klimek, and
Reinhold Heil
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Even More Resources
• “IBM’s Automated Radiologist Can Read Images and Medical Records” by Tom Simonite, February 4, 2016.
Intelligent Machines, MIT Technology Review. https://www.technologyreview.com/s/600706/ibms-
automated-radiologist-can-read-images-and-medical-records/
• “The IBM, Salesforce AI Mash-Up Could Be a Stroke of Genius” by Adam Lashinsky, Mar 07, 2017. Fortune.
http://fortune.com/2017/03/07/data-sheet-ibm-salesforce/
• "Google can now tell you're not a robot with just one click" by Andy Greenberg. Dec. 3, 2014. Security:
Wired. https://www.wired.com/2014/12/google-one-click-recaptcha/
• “Essentials of Machine Learning Algorithms (with Python and R Codes)” by Sunil Ray, August 10, 2015.
Analytics Vidhya. https://www.analyticsvidhya.com/blog/2015/08/common-machine-learning-algorithms/
• IBM on Machine Learning https://www.ibm.com/analytics/us/en/technology/machine-learning/
• “At Davos, IBM CEO Ginni Rometty Downplays Fears of a Robot Takeover” by Claire Zillman, Jan 18, 2017.
Fortune. http://fortune.com/2017/01/18/ibm-ceo-ginni-rometty-ai-davos/
• “Google and IBM: We Want Artificial Intelligence to Help You, Not Replace You” by Michelle Toh. Mar 02,
2017. Fortune. http://fortune.com/2017/03/02/google-ibm-artificial-intelligence/
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Yes, even more resources
• Video: “IBM Watson Knowledge Studio: Teach Watson about your unstructured data”
https://www.youtube.com/watch?v=caIdJjtvX1s&t=6s
• “The optimist’s guide to the robot apocalypse” by Sarah Kessler, @sarahfkessler. March 09, 2017. QZ.
https://qz.com/904285/the-optimists-guide-to-the-robot-apocalypse/
• “AI Influencers 2017: Top 30 people in AI you should follow on Twitter" by Trips Reddy @tripsy, Senior
Content Manager, IBM Watson . February 10, 2017 https://www.ibm.com/blogs/watson/2017/02/ai-
influencers-2017-top-25-people-ai-follow-twitter/
• “3 guiding principles for ethical AI, from IBM CEO Ginni Rometty” by Alison DeNisco. January 17, 2017,
Tech Republic http://www.techrepublic.com/article/3-guiding-principles-for-ethical-ai-from-ibm-ceo-ginni-
rometty/
• "Transparency and Trust in the Cognitive Era" January 17, 2017 Written by: IBM THINK Blog
https://www.ibm.com/blogs/think/2017/01/ibm-cognitive-principles/
• "Ethics and Artificial Intelligence: The Moral Compass of a Machine“ by Kris Hammond, April 13, 2016.
Recode. http://www.recode.net/2016/4/13/11644890/ethics-and-artificial-intelligence-the-moral-compass-of-
a-machine
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Last bit: I promise
• "The importance of human innovation in A.I. ethics" by John C. Havens. Oct. 03, 2015
http://mashable.com/2015/10/03/ethics-artificial-intelligence/#yljsShvAFsqy
• "Me, Myself and AI" Fjordnet Limited 2017 - Accenture Digital. https://trends.fjordnet.com/trends/me-myself-
ai
• "Testing AI concepts in user research" By Chris Butler, Mar 2, 2017. https://uxdesign.cc/testing-ai-concepts-
in-user-research-b742a9a92e55#.58jtc7nzo
• "CMU prof says computers that can 'see' soon will permeate our lives“ by Aaron Aupperlee. March 16, 2017.
http://triblive.com/news/adminpage/12080408-74/cmu-prof-says-computers-that-can-see-soon-will-
permeate-our-lives
• “The business case for augmented intelligence” by Nancy Pearson, VP Marketing, IBM Cognitive.
https://medium.com/cognitivebusiness/the-business-case-for-augmented-intelligence-
36afa64cd675#.qqzvunakw
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Definition: Artificial Intelligence
• Artificial intelligence (AI) is intelligence exhibited by machines.
• In computer science, an ideal "intelligent" machine is a flexible rational agent that
perceives its environment and takes actions that maximize its chance of success
at some goal.[1] Colloquially, the term "artificial intelligence" is applied when a
machine mimics "cognitive" functions that humans associate with other human
minds, such as "learning" and "problem solving".[2]
• Capabilities currently classified as AI include successfully understanding human
speech,[4] competing at a high level in strategic game systems (such as Chess
and Go[5]), self-driving cars, and interpreting complex data.
Wikipedia: https://en.wikipedia.org/wiki/Artificial_intelligence#cite_note-Intelligent_agents-1
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Definition: The Singularity
• If research into Strong AI produced sufficiently intelligent software, it might be able to reprogram
and improve itself. The improved software would be even better at improving itself, leading to
recursive self-improvement.[245] The new intelligence could thus increase exponentially and
dramatically surpass humans. Science fiction writer Vernor Vinge named this scenario
"singularity".[246] Technological singularity is when accelerating progress in technologies will
cause a runaway effect wherein artificial intelligence will exceed human intellectual capacity and
control, thus radically changing or even ending civilization. Because the capabilities of such an
intelligence may be impossible to comprehend, the technological singularity is an occurrence
beyond which events are unpredictable or even unfathomable.[246]
• Ray Kurzweil has used Moore's law (which describes the relentless exponential improvement in
digital technology) to calculate that desktop computers will have the same processing power as
human brains by the year 2029, and predicts that the singularity will occur in 2045.[246]
Wikipedia: https://en.wikipedia.org/wiki/Artificial_intelligence#cite_note-Intelligent_agents-1
IBM Watson / UX in the Age of AI / @carologic / Fluxible
Definition: Machine Learning
• Ability for system to take basic knowledge (does not mean simple or non-complex) and apply that
knowledge to new data
• Raises ability to discover new information
• Find unknowns in data
• https://en.wikipedia.org/wiki/Machine_learning
More Definitions
• Algorithm: a process or set of rules to be followed in calculations or other problem-solving operations,
especially by a computer. https://en.wikipedia.org/wiki/Algorithm
• Natural Language Processing (NLP): https://en.wikipedia.org/wiki/Natural_language_processing

More Related Content

What's hot

Product Design in Agile Environments: Making it Work at ProductCamp Pittsburgh
Product Design in Agile Environments: Making it Work at ProductCamp PittsburghProduct Design in Agile Environments: Making it Work at ProductCamp Pittsburgh
Product Design in Agile Environments: Making it Work at ProductCamp PittsburghCarol Smith
 
Design vs.Cancer: Patients Win UXDC 2017
Design vs.Cancer: Patients Win UXDC 2017Design vs.Cancer: Patients Win UXDC 2017
Design vs.Cancer: Patients Win UXDC 2017Carol Smith
 
Users are Losers! They’ll Like Whatever we Make! and Other Fallacies.
Users are Losers! They’ll Like Whatever we Make! and Other Fallacies.Users are Losers! They’ll Like Whatever we Make! and Other Fallacies.
Users are Losers! They’ll Like Whatever we Make! and Other Fallacies.Carol Smith
 
Designing Trustable AI Experiences at World Usability Day in Cleveland
Designing Trustable AI Experiences at World Usability Day in ClevelandDesigning Trustable AI Experiences at World Usability Day in Cleveland
Designing Trustable AI Experiences at World Usability Day in ClevelandCarol Smith
 
UX in the Age of AI: Leading with Design UXPA2018
UX in the Age of AI: Leading with Design UXPA2018UX in the Age of AI: Leading with Design UXPA2018
UX in the Age of AI: Leading with Design UXPA2018Carol Smith
 
IA in the Age of AI: Embracing Abstraction and Change at IA Summit 2018
IA in the Age of AI: Embracing Abstraction and Change at IA Summit 2018IA in the Age of AI: Embracing Abstraction and Change at IA Summit 2018
IA in the Age of AI: Embracing Abstraction and Change at IA Summit 2018Carol Smith
 
Designing AI for Humanity at dmi:Design Leadership Conference in Boston
Designing AI for Humanity at dmi:Design Leadership Conference in BostonDesigning AI for Humanity at dmi:Design Leadership Conference in Boston
Designing AI for Humanity at dmi:Design Leadership Conference in BostonCarol Smith
 
Navigating challenges in IA people management at IAC19
Navigating challenges in IA people management at IAC19Navigating challenges in IA people management at IAC19
Navigating challenges in IA people management at IAC19Carol Smith
 
On the Road: Best Practices for Autonomous Experiences at WUC19
On the Road: Best Practices for Autonomous Experiences at WUC19On the Road: Best Practices for Autonomous Experiences at WUC19
On the Road: Best Practices for Autonomous Experiences at WUC19Carol Smith
 
Dynamic UXR: Ethical Responsibilities and AI. Carol Smith at Strive in Toronto
Dynamic UXR: Ethical Responsibilities and AI. Carol Smith at Strive in TorontoDynamic UXR: Ethical Responsibilities and AI. Carol Smith at Strive in Toronto
Dynamic UXR: Ethical Responsibilities and AI. Carol Smith at Strive in TorontoCarol Smith
 
Putting Personas to Work at UX Pittsburgh
Putting Personas to Work at UX PittsburghPutting Personas to Work at UX Pittsburgh
Putting Personas to Work at UX PittsburghCarol Smith
 
What can DesignOps do for you? by Carol Smith at TLMUX in Montreal
What can DesignOps do for you? by Carol Smith at TLMUX in MontrealWhat can DesignOps do for you? by Carol Smith at TLMUX in Montreal
What can DesignOps do for you? by Carol Smith at TLMUX in MontrealCarol Smith
 
VLAB Talk: AI, Deep Learning, and the Future of Business
VLAB Talk: AI, Deep Learning, and the Future of BusinessVLAB Talk: AI, Deep Learning, and the Future of Business
VLAB Talk: AI, Deep Learning, and the Future of BusinessSteve Omohundro
 
IA is Elemental: People are Fundamental at World IA Day 2020 Pittsburgh
IA is Elemental: People are Fundamental at World IA Day 2020 PittsburghIA is Elemental: People are Fundamental at World IA Day 2020 Pittsburgh
IA is Elemental: People are Fundamental at World IA Day 2020 PittsburghCarol Smith
 
Business growth principles in the new economy
Business growth principles in the new economy Business growth principles in the new economy
Business growth principles in the new economy Ashish Bedekar
 
Artificial Intelligence Introduction & Business usecases
Artificial Intelligence Introduction & Business usecasesArtificial Intelligence Introduction & Business usecases
Artificial Intelligence Introduction & Business usecasesVikas Jain
 
Advanced Card Sorting and Mixed Method IA Validation
Advanced Card Sorting and Mixed Method IA ValidationAdvanced Card Sorting and Mixed Method IA Validation
Advanced Card Sorting and Mixed Method IA ValidationUXPA International
 
Demystifying AI | Mathias Vercauteren | Keynote at AI 4 Business Summit | Bru...
Demystifying AI | Mathias Vercauteren | Keynote at AI 4 Business Summit | Bru...Demystifying AI | Mathias Vercauteren | Keynote at AI 4 Business Summit | Bru...
Demystifying AI | Mathias Vercauteren | Keynote at AI 4 Business Summit | Bru...Mathias Vercauteren
 
2013-08 10 evil things - Northeast PHP Conference Keynote
2013-08 10 evil things - Northeast PHP Conference Keynote2013-08 10 evil things - Northeast PHP Conference Keynote
2013-08 10 evil things - Northeast PHP Conference Keynoteterry chay
 
The rise of AI in design - Are we losing creative control? IXDS Pre-Work Talk...
The rise of AI in design - Are we losing creative control? IXDS Pre-Work Talk...The rise of AI in design - Are we losing creative control? IXDS Pre-Work Talk...
The rise of AI in design - Are we losing creative control? IXDS Pre-Work Talk...Jan Korsanke
 

What's hot (20)

Product Design in Agile Environments: Making it Work at ProductCamp Pittsburgh
Product Design in Agile Environments: Making it Work at ProductCamp PittsburghProduct Design in Agile Environments: Making it Work at ProductCamp Pittsburgh
Product Design in Agile Environments: Making it Work at ProductCamp Pittsburgh
 
Design vs.Cancer: Patients Win UXDC 2017
Design vs.Cancer: Patients Win UXDC 2017Design vs.Cancer: Patients Win UXDC 2017
Design vs.Cancer: Patients Win UXDC 2017
 
Users are Losers! They’ll Like Whatever we Make! and Other Fallacies.
Users are Losers! They’ll Like Whatever we Make! and Other Fallacies.Users are Losers! They’ll Like Whatever we Make! and Other Fallacies.
Users are Losers! They’ll Like Whatever we Make! and Other Fallacies.
 
Designing Trustable AI Experiences at World Usability Day in Cleveland
Designing Trustable AI Experiences at World Usability Day in ClevelandDesigning Trustable AI Experiences at World Usability Day in Cleveland
Designing Trustable AI Experiences at World Usability Day in Cleveland
 
UX in the Age of AI: Leading with Design UXPA2018
UX in the Age of AI: Leading with Design UXPA2018UX in the Age of AI: Leading with Design UXPA2018
UX in the Age of AI: Leading with Design UXPA2018
 
IA in the Age of AI: Embracing Abstraction and Change at IA Summit 2018
IA in the Age of AI: Embracing Abstraction and Change at IA Summit 2018IA in the Age of AI: Embracing Abstraction and Change at IA Summit 2018
IA in the Age of AI: Embracing Abstraction and Change at IA Summit 2018
 
Designing AI for Humanity at dmi:Design Leadership Conference in Boston
Designing AI for Humanity at dmi:Design Leadership Conference in BostonDesigning AI for Humanity at dmi:Design Leadership Conference in Boston
Designing AI for Humanity at dmi:Design Leadership Conference in Boston
 
Navigating challenges in IA people management at IAC19
Navigating challenges in IA people management at IAC19Navigating challenges in IA people management at IAC19
Navigating challenges in IA people management at IAC19
 
On the Road: Best Practices for Autonomous Experiences at WUC19
On the Road: Best Practices for Autonomous Experiences at WUC19On the Road: Best Practices for Autonomous Experiences at WUC19
On the Road: Best Practices for Autonomous Experiences at WUC19
 
Dynamic UXR: Ethical Responsibilities and AI. Carol Smith at Strive in Toronto
Dynamic UXR: Ethical Responsibilities and AI. Carol Smith at Strive in TorontoDynamic UXR: Ethical Responsibilities and AI. Carol Smith at Strive in Toronto
Dynamic UXR: Ethical Responsibilities and AI. Carol Smith at Strive in Toronto
 
Putting Personas to Work at UX Pittsburgh
Putting Personas to Work at UX PittsburghPutting Personas to Work at UX Pittsburgh
Putting Personas to Work at UX Pittsburgh
 
What can DesignOps do for you? by Carol Smith at TLMUX in Montreal
What can DesignOps do for you? by Carol Smith at TLMUX in MontrealWhat can DesignOps do for you? by Carol Smith at TLMUX in Montreal
What can DesignOps do for you? by Carol Smith at TLMUX in Montreal
 
VLAB Talk: AI, Deep Learning, and the Future of Business
VLAB Talk: AI, Deep Learning, and the Future of BusinessVLAB Talk: AI, Deep Learning, and the Future of Business
VLAB Talk: AI, Deep Learning, and the Future of Business
 
IA is Elemental: People are Fundamental at World IA Day 2020 Pittsburgh
IA is Elemental: People are Fundamental at World IA Day 2020 PittsburghIA is Elemental: People are Fundamental at World IA Day 2020 Pittsburgh
IA is Elemental: People are Fundamental at World IA Day 2020 Pittsburgh
 
Business growth principles in the new economy
Business growth principles in the new economy Business growth principles in the new economy
Business growth principles in the new economy
 
Artificial Intelligence Introduction & Business usecases
Artificial Intelligence Introduction & Business usecasesArtificial Intelligence Introduction & Business usecases
Artificial Intelligence Introduction & Business usecases
 
Advanced Card Sorting and Mixed Method IA Validation
Advanced Card Sorting and Mixed Method IA ValidationAdvanced Card Sorting and Mixed Method IA Validation
Advanced Card Sorting and Mixed Method IA Validation
 
Demystifying AI | Mathias Vercauteren | Keynote at AI 4 Business Summit | Bru...
Demystifying AI | Mathias Vercauteren | Keynote at AI 4 Business Summit | Bru...Demystifying AI | Mathias Vercauteren | Keynote at AI 4 Business Summit | Bru...
Demystifying AI | Mathias Vercauteren | Keynote at AI 4 Business Summit | Bru...
 
2013-08 10 evil things - Northeast PHP Conference Keynote
2013-08 10 evil things - Northeast PHP Conference Keynote2013-08 10 evil things - Northeast PHP Conference Keynote
2013-08 10 evil things - Northeast PHP Conference Keynote
 
The rise of AI in design - Are we losing creative control? IXDS Pre-Work Talk...
The rise of AI in design - Are we losing creative control? IXDS Pre-Work Talk...The rise of AI in design - Are we losing creative control? IXDS Pre-Work Talk...
The rise of AI in design - Are we losing creative control? IXDS Pre-Work Talk...
 

Viewers also liked

AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017Carol Smith
 
Tic's en la vida cotidiana
Tic's en la vida cotidianaTic's en la vida cotidiana
Tic's en la vida cotidianaEmmanuel Lopez
 
網站分析地圖 The map of digital analytics - 201710
網站分析地圖 The map of digital analytics - 201710網站分析地圖 The map of digital analytics - 201710
網站分析地圖 The map of digital analytics - 201710Terence Peng
 
Universal design
Universal designUniversal design
Universal designAla Davoudi
 
Cognitive Science Perspective on User eXperience!
Cognitive Science Perspective on User eXperience!Cognitive Science Perspective on User eXperience!
Cognitive Science Perspective on User eXperience!Hamed Abdi
 
UXCON16 / From User Experience to Human Experience (with the help of AI) / Hu...
UXCON16 / From User Experience to Human Experience (with the help of AI) / Hu...UXCON16 / From User Experience to Human Experience (with the help of AI) / Hu...
UXCON16 / From User Experience to Human Experience (with the help of AI) / Hu...Sketchin
 
Homespun UX: Going Beyond Web Analytics
Homespun UX: Going Beyond Web AnalyticsHomespun UX: Going Beyond Web Analytics
Homespun UX: Going Beyond Web AnalyticsMary Ann Brody
 
Mature Products: The Cycle of UX Reinvention UXPA 2016
Mature Products: The Cycle of UX Reinvention UXPA 2016Mature Products: The Cycle of UX Reinvention UXPA 2016
Mature Products: The Cycle of UX Reinvention UXPA 2016Carol Smith
 
Design like a Human in the Age of Algorithms
Design like a Human in the Age of AlgorithmsDesign like a Human in the Age of Algorithms
Design like a Human in the Age of AlgorithmsPamela Pavliscak
 
Empathy and Its Role in User-Centered Design
Empathy and Its Role in User-Centered DesignEmpathy and Its Role in User-Centered Design
Empathy and Its Role in User-Centered DesignSharareh Shahrabi
 
Negotiating Your UX Career. Presented at UXPA2015
Negotiating Your UX Career. Presented at UXPA2015Negotiating Your UX Career. Presented at UXPA2015
Negotiating Your UX Career. Presented at UXPA2015Carol Smith
 
數據營運與指標設計 web analytics 101 slideshare
數據營運與指標設計 web analytics 101 slideshare數據營運與指標設計 web analytics 101 slideshare
數據營運與指標設計 web analytics 101 slideshare悠識用戶體驗數據分析
 
Jobs-to-be-done, a goal-driven solution framework
Jobs-to-be-done, a goal-driven solution frameworkJobs-to-be-done, a goal-driven solution framework
Jobs-to-be-done, a goal-driven solution frameworkClément Génin
 
Generating opportunity maps with customer jobs to-be-done
Generating opportunity maps with customer jobs to-be-doneGenerating opportunity maps with customer jobs to-be-done
Generating opportunity maps with customer jobs to-be-doneHutch Carpenter
 
Jobs To Be Done Workshop
Jobs To Be Done WorkshopJobs To Be Done Workshop
Jobs To Be Done WorkshopAndy Fallshaw
 
Turn Jobs to Be Done Theory into Practice - Tony Ulwick at Business of Softwa...
Turn Jobs to Be Done Theory into Practice - Tony Ulwick at Business of Softwa...Turn Jobs to Be Done Theory into Practice - Tony Ulwick at Business of Softwa...
Turn Jobs to Be Done Theory into Practice - Tony Ulwick at Business of Softwa...Business of Software Conference
 
Jobs to Be Done :: Overview and Interview Technique
Jobs to Be Done :: Overview and Interview TechniqueJobs to Be Done :: Overview and Interview Technique
Jobs to Be Done :: Overview and Interview TechniqueBrian Rhea
 
BoSUSA13 | Bob Moesta Chris Spiek | Uncovering the Jobs to be Done
BoSUSA13 | Bob Moesta Chris Spiek | Uncovering the Jobs to be DoneBoSUSA13 | Bob Moesta Chris Spiek | Uncovering the Jobs to be Done
BoSUSA13 | Bob Moesta Chris Spiek | Uncovering the Jobs to be DoneBusiness of Software Conference
 

Viewers also liked (20)

AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
 
The AI Rush
The AI RushThe AI Rush
The AI Rush
 
Tic's en la vida cotidiana
Tic's en la vida cotidianaTic's en la vida cotidiana
Tic's en la vida cotidiana
 
網站分析地圖 The map of digital analytics - 201710
網站分析地圖 The map of digital analytics - 201710網站分析地圖 The map of digital analytics - 201710
網站分析地圖 The map of digital analytics - 201710
 
Beyond User Research
Beyond User ResearchBeyond User Research
Beyond User Research
 
Universal design
Universal designUniversal design
Universal design
 
Cognitive Science Perspective on User eXperience!
Cognitive Science Perspective on User eXperience!Cognitive Science Perspective on User eXperience!
Cognitive Science Perspective on User eXperience!
 
UXCON16 / From User Experience to Human Experience (with the help of AI) / Hu...
UXCON16 / From User Experience to Human Experience (with the help of AI) / Hu...UXCON16 / From User Experience to Human Experience (with the help of AI) / Hu...
UXCON16 / From User Experience to Human Experience (with the help of AI) / Hu...
 
Homespun UX: Going Beyond Web Analytics
Homespun UX: Going Beyond Web AnalyticsHomespun UX: Going Beyond Web Analytics
Homespun UX: Going Beyond Web Analytics
 
Mature Products: The Cycle of UX Reinvention UXPA 2016
Mature Products: The Cycle of UX Reinvention UXPA 2016Mature Products: The Cycle of UX Reinvention UXPA 2016
Mature Products: The Cycle of UX Reinvention UXPA 2016
 
Design like a Human in the Age of Algorithms
Design like a Human in the Age of AlgorithmsDesign like a Human in the Age of Algorithms
Design like a Human in the Age of Algorithms
 
Empathy and Its Role in User-Centered Design
Empathy and Its Role in User-Centered DesignEmpathy and Its Role in User-Centered Design
Empathy and Its Role in User-Centered Design
 
Negotiating Your UX Career. Presented at UXPA2015
Negotiating Your UX Career. Presented at UXPA2015Negotiating Your UX Career. Presented at UXPA2015
Negotiating Your UX Career. Presented at UXPA2015
 
數據營運與指標設計 web analytics 101 slideshare
數據營運與指標設計 web analytics 101 slideshare數據營運與指標設計 web analytics 101 slideshare
數據營運與指標設計 web analytics 101 slideshare
 
Jobs-to-be-done, a goal-driven solution framework
Jobs-to-be-done, a goal-driven solution frameworkJobs-to-be-done, a goal-driven solution framework
Jobs-to-be-done, a goal-driven solution framework
 
Generating opportunity maps with customer jobs to-be-done
Generating opportunity maps with customer jobs to-be-doneGenerating opportunity maps with customer jobs to-be-done
Generating opportunity maps with customer jobs to-be-done
 
Jobs To Be Done Workshop
Jobs To Be Done WorkshopJobs To Be Done Workshop
Jobs To Be Done Workshop
 
Turn Jobs to Be Done Theory into Practice - Tony Ulwick at Business of Softwa...
Turn Jobs to Be Done Theory into Practice - Tony Ulwick at Business of Softwa...Turn Jobs to Be Done Theory into Practice - Tony Ulwick at Business of Softwa...
Turn Jobs to Be Done Theory into Practice - Tony Ulwick at Business of Softwa...
 
Jobs to Be Done :: Overview and Interview Technique
Jobs to Be Done :: Overview and Interview TechniqueJobs to Be Done :: Overview and Interview Technique
Jobs to Be Done :: Overview and Interview Technique
 
BoSUSA13 | Bob Moesta Chris Spiek | Uncovering the Jobs to be Done
BoSUSA13 | Bob Moesta Chris Spiek | Uncovering the Jobs to be DoneBoSUSA13 | Bob Moesta Chris Spiek | Uncovering the Jobs to be Done
BoSUSA13 | Bob Moesta Chris Spiek | Uncovering the Jobs to be Done
 

Similar to UX in the Age of AI: Where Does Design Fit In? Fluxible 2017

AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017 AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017 Tarzan2000
 
Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705Sindisiwe Mandlenkosi
 
Terrance Cosgrove Shared [AI and Machine Learning Demystified by Carol Smith]
Terrance Cosgrove Shared [AI and Machine Learning Demystified by Carol Smith]Terrance Cosgrove Shared [AI and Machine Learning Demystified by Carol Smith]
Terrance Cosgrove Shared [AI and Machine Learning Demystified by Carol Smith]Terrence Cosgrove
 
AI and Machine Learning Demystified by Carol Smith at Midwest
AI and Machine Learning Demystified by Carol Smith at MidwestAI and Machine Learning Demystified by Carol Smith at Midwest
AI and Machine Learning Demystified by Carol Smith at MidwestAbdianoYG
 
Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705dandh dandh
 
AI and Machine Learning
AI and Machine Learning AI and Machine Learning
AI and Machine Learning surajchowhan
 
Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705charmilmal
 
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017Aytaç Korkusuz
 
AI & Machine Learning Demystified - Forwarded by Jeff Campau
AI & Machine Learning Demystified - Forwarded by Jeff CampauAI & Machine Learning Demystified - Forwarded by Jeff Campau
AI & Machine Learning Demystified - Forwarded by Jeff CampauJeff Campau
 
Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705vickypoorni
 
Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705dandh dandh
 
Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705Sayali Surve
 
Designing Trustable AI Experiences at IxDA Pittsburgh, Jan 2019
Designing Trustable AI Experiences at IxDA Pittsburgh, Jan 2019Designing Trustable AI Experiences at IxDA Pittsburgh, Jan 2019
Designing Trustable AI Experiences at IxDA Pittsburgh, Jan 2019Carol Smith
 
AI for IA's: Machine Learning Demystified at IA Summit 2017 - IAS17
AI for IA's: Machine Learning Demystified at IA Summit 2017 - IAS17AI for IA's: Machine Learning Demystified at IA Summit 2017 - IAS17
AI for IA's: Machine Learning Demystified at IA Summit 2017 - IAS17Carol Smith
 
Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine LearningArtificial Intelligence and Machine Learning
Artificial Intelligence and Machine LearningMykola Dobrochynskyy
 
UX in the Age of AI: Leading with Design
UX in the Age of AI: Leading with DesignUX in the Age of AI: Leading with Design
UX in the Age of AI: Leading with DesignUXPA International
 

Similar to UX in the Age of AI: Where Does Design Fit In? Fluxible 2017 (20)

AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017 AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
 
Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705
 
Terrance Cosgrove Shared [AI and Machine Learning Demystified by Carol Smith]
Terrance Cosgrove Shared [AI and Machine Learning Demystified by Carol Smith]Terrance Cosgrove Shared [AI and Machine Learning Demystified by Carol Smith]
Terrance Cosgrove Shared [AI and Machine Learning Demystified by Carol Smith]
 
odontology
odontologyodontology
odontology
 
Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705
 
GENESIS
GENESISGENESIS
GENESIS
 
AI and Machine Learning Demystified by Carol Smith at Midwest
AI and Machine Learning Demystified by Carol Smith at MidwestAI and Machine Learning Demystified by Carol Smith at Midwest
AI and Machine Learning Demystified by Carol Smith at Midwest
 
Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705
 
AI and Machine Learning
AI and Machine Learning AI and Machine Learning
AI and Machine Learning
 
Ml7
Ml7Ml7
Ml7
 
Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705
 
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
 
AI & Machine Learning Demystified - Forwarded by Jeff Campau
AI & Machine Learning Demystified - Forwarded by Jeff CampauAI & Machine Learning Demystified - Forwarded by Jeff Campau
AI & Machine Learning Demystified - Forwarded by Jeff Campau
 
Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705
 
Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705
 
Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705Ai ml-demystified-mwux2017-final-171016011705
Ai ml-demystified-mwux2017-final-171016011705
 
Designing Trustable AI Experiences at IxDA Pittsburgh, Jan 2019
Designing Trustable AI Experiences at IxDA Pittsburgh, Jan 2019Designing Trustable AI Experiences at IxDA Pittsburgh, Jan 2019
Designing Trustable AI Experiences at IxDA Pittsburgh, Jan 2019
 
AI for IA's: Machine Learning Demystified at IA Summit 2017 - IAS17
AI for IA's: Machine Learning Demystified at IA Summit 2017 - IAS17AI for IA's: Machine Learning Demystified at IA Summit 2017 - IAS17
AI for IA's: Machine Learning Demystified at IA Summit 2017 - IAS17
 
Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine LearningArtificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning
 
UX in the Age of AI: Leading with Design
UX in the Age of AI: Leading with DesignUX in the Age of AI: Leading with Design
UX in the Age of AI: Leading with Design
 

More from Carol Smith

Navigating the Complexity of Trust at UXPA Boston 2021
Navigating the Complexity of Trust at UXPA Boston 2021Navigating the Complexity of Trust at UXPA Boston 2021
Navigating the Complexity of Trust at UXPA Boston 2021Carol Smith
 
Implementing Ethics: Developing Trustworthy AI PyCon 2020
Implementing Ethics: Developing Trustworthy AI PyCon 2020Implementing Ethics: Developing Trustworthy AI PyCon 2020
Implementing Ethics: Developing Trustworthy AI PyCon 2020Carol Smith
 
Designing Trustworthy AI: A User Experience Framework at RSA 2020
Designing Trustworthy AI: A User Experience Framework at RSA 2020Designing Trustworthy AI: A User Experience Framework at RSA 2020
Designing Trustworthy AI: A User Experience Framework at RSA 2020Carol Smith
 
Gearing up for Ethnography, Michigan State, World Usability Day 2019
Gearing up for Ethnography, Michigan State, World Usability Day 2019Gearing up for Ethnography, Michigan State, World Usability Day 2019
Gearing up for Ethnography, Michigan State, World Usability Day 2019Carol Smith
 
Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Developm...
Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Developm...Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Developm...
Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Developm...Carol Smith
 
Designing More Ethical and Unbiased Experiences - Abstractions
Designing More Ethical and Unbiased Experiences - AbstractionsDesigning More Ethical and Unbiased Experiences - Abstractions
Designing More Ethical and Unbiased Experiences - AbstractionsCarol Smith
 
Gearing up for Ethnography at Midwest UX 2018
Gearing up for Ethnography at Midwest UX 2018Gearing up for Ethnography at Midwest UX 2018
Gearing up for Ethnography at Midwest UX 2018Carol Smith
 
Demystifying Artificial Intelligence: Solving Difficult Problems at ProductCa...
Demystifying Artificial Intelligence: Solving Difficult Problems at ProductCa...Demystifying Artificial Intelligence: Solving Difficult Problems at ProductCa...
Demystifying Artificial Intelligence: Solving Difficult Problems at ProductCa...Carol Smith
 
DIY Usability Testing for Business Analysts (BA)
DIY Usability Testing for Business Analysts (BA)DIY Usability Testing for Business Analysts (BA)
DIY Usability Testing for Business Analysts (BA)Carol Smith
 
User Experience for Business Analysts
User Experience for Business AnalystsUser Experience for Business Analysts
User Experience for Business AnalystsCarol Smith
 

More from Carol Smith (10)

Navigating the Complexity of Trust at UXPA Boston 2021
Navigating the Complexity of Trust at UXPA Boston 2021Navigating the Complexity of Trust at UXPA Boston 2021
Navigating the Complexity of Trust at UXPA Boston 2021
 
Implementing Ethics: Developing Trustworthy AI PyCon 2020
Implementing Ethics: Developing Trustworthy AI PyCon 2020Implementing Ethics: Developing Trustworthy AI PyCon 2020
Implementing Ethics: Developing Trustworthy AI PyCon 2020
 
Designing Trustworthy AI: A User Experience Framework at RSA 2020
Designing Trustworthy AI: A User Experience Framework at RSA 2020Designing Trustworthy AI: A User Experience Framework at RSA 2020
Designing Trustworthy AI: A User Experience Framework at RSA 2020
 
Gearing up for Ethnography, Michigan State, World Usability Day 2019
Gearing up for Ethnography, Michigan State, World Usability Day 2019Gearing up for Ethnography, Michigan State, World Usability Day 2019
Gearing up for Ethnography, Michigan State, World Usability Day 2019
 
Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Developm...
Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Developm...Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Developm...
Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Developm...
 
Designing More Ethical and Unbiased Experiences - Abstractions
Designing More Ethical and Unbiased Experiences - AbstractionsDesigning More Ethical and Unbiased Experiences - Abstractions
Designing More Ethical and Unbiased Experiences - Abstractions
 
Gearing up for Ethnography at Midwest UX 2018
Gearing up for Ethnography at Midwest UX 2018Gearing up for Ethnography at Midwest UX 2018
Gearing up for Ethnography at Midwest UX 2018
 
Demystifying Artificial Intelligence: Solving Difficult Problems at ProductCa...
Demystifying Artificial Intelligence: Solving Difficult Problems at ProductCa...Demystifying Artificial Intelligence: Solving Difficult Problems at ProductCa...
Demystifying Artificial Intelligence: Solving Difficult Problems at ProductCa...
 
DIY Usability Testing for Business Analysts (BA)
DIY Usability Testing for Business Analysts (BA)DIY Usability Testing for Business Analysts (BA)
DIY Usability Testing for Business Analysts (BA)
 
User Experience for Business Analysts
User Experience for Business AnalystsUser Experience for Business Analysts
User Experience for Business Analysts
 

Recently uploaded

如何办理(UW毕业证书)华盛顿大学毕业证成绩单本科硕士学位证留信学历认证
如何办理(UW毕业证书)华盛顿大学毕业证成绩单本科硕士学位证留信学历认证如何办理(UW毕业证书)华盛顿大学毕业证成绩单本科硕士学位证留信学历认证
如何办理(UW毕业证书)华盛顿大学毕业证成绩单本科硕士学位证留信学历认证ugzga
 
Gamestore case study UI UX by Amgad Ibrahim
Gamestore case study UI UX by Amgad IbrahimGamestore case study UI UX by Amgad Ibrahim
Gamestore case study UI UX by Amgad Ibrahimamgadibrahim92
 
Rise of Digital Textiles__Published in PrintAction
Rise of Digital Textiles__Published in PrintActionRise of Digital Textiles__Published in PrintAction
Rise of Digital Textiles__Published in PrintActionVictoria Gaitskell
 
一模一样英国德比大学毕业证(derby毕业证书)本科学历-国外大学文凭办理
一模一样英国德比大学毕业证(derby毕业证书)本科学历-国外大学文凭办理一模一样英国德比大学毕业证(derby毕业证书)本科学历-国外大学文凭办理
一模一样英国德比大学毕业证(derby毕业证书)本科学历-国外大学文凭办理thubko
 
一比一原版(ANU毕业证书)澳大利亚国立大学毕业证原件一模一样
一比一原版(ANU毕业证书)澳大利亚国立大学毕业证原件一模一样一比一原版(ANU毕业证书)澳大利亚国立大学毕业证原件一模一样
一比一原版(ANU毕业证书)澳大利亚国立大学毕业证原件一模一样yhavx
 
如何办理(UB毕业证书)纽约州立大学水牛城分校毕业证成绩单本科硕士学位证留信学历认证
如何办理(UB毕业证书)纽约州立大学水牛城分校毕业证成绩单本科硕士学位证留信学历认证如何办理(UB毕业证书)纽约州立大学水牛城分校毕业证成绩单本科硕士学位证留信学历认证
如何办理(UB毕业证书)纽约州立大学水牛城分校毕业证成绩单本科硕士学位证留信学历认证ugzga
 
ECHOES OF GENIUS - A Tribute to Nari Gandhi's Architectural Legacy. .pdf
ECHOES OF GENIUS - A Tribute to Nari Gandhi's Architectural Legacy. .pdfECHOES OF GENIUS - A Tribute to Nari Gandhi's Architectural Legacy. .pdf
ECHOES OF GENIUS - A Tribute to Nari Gandhi's Architectural Legacy. .pdfSarbjit Bahga
 
如何办理(UCL毕业证书)伦敦大学学院毕业证成绩单本科硕士学位证留信学历认证
如何办理(UCL毕业证书)伦敦大学学院毕业证成绩单本科硕士学位证留信学历认证如何办理(UCL毕业证书)伦敦大学学院毕业证成绩单本科硕士学位证留信学历认证
如何办理(UCL毕业证书)伦敦大学学院毕业证成绩单本科硕士学位证留信学历认证ugzga
 
一比一原版(WLU毕业证)罗瑞尔大学毕业证成绩单留信学历认证原版一模一样
一比一原版(WLU毕业证)罗瑞尔大学毕业证成绩单留信学历认证原版一模一样一比一原版(WLU毕业证)罗瑞尔大学毕业证成绩单留信学历认证原版一模一样
一比一原版(WLU毕业证)罗瑞尔大学毕业证成绩单留信学历认证原版一模一样awasv46j
 
Branding in the Psychedelic Landscape Report.pdf
Branding in the Psychedelic Landscape Report.pdfBranding in the Psychedelic Landscape Report.pdf
Branding in the Psychedelic Landscape Report.pdfAlexandra Plesner
 
GBU INDOOR STADIUM CASE STUDY DESCRIBING ITS STRUCTURE
GBU INDOOR STADIUM CASE STUDY DESCRIBING ITS STRUCTUREGBU INDOOR STADIUM CASE STUDY DESCRIBING ITS STRUCTURE
GBU INDOOR STADIUM CASE STUDY DESCRIBING ITS STRUCTURECHANDRAKIRTISINGH
 
Morgenbooster: Storytelling in Identity Design
Morgenbooster: Storytelling in Identity DesignMorgenbooster: Storytelling in Identity Design
Morgenbooster: Storytelling in Identity Design1508 A/S
 
Spring Summer 2026 Inspirations trend book Peclers Paris
Spring Summer 2026 Inspirations trend book Peclers ParisSpring Summer 2026 Inspirations trend book Peclers Paris
Spring Summer 2026 Inspirations trend book Peclers ParisPeclers Paris
 
Solutions For Social Media App Development (1).pptx
Solutions For Social Media App Development (1).pptxSolutions For Social Media App Development (1).pptx
Solutions For Social Media App Development (1).pptxBrain Inventory
 
如何办理(Birmingham毕业证书)伯明翰大学学院毕业证成绩单本科硕士学位证留信学历认证
如何办理(Birmingham毕业证书)伯明翰大学学院毕业证成绩单本科硕士学位证留信学历认证如何办理(Birmingham毕业证书)伯明翰大学学院毕业证成绩单本科硕士学位证留信学历认证
如何办理(Birmingham毕业证书)伯明翰大学学院毕业证成绩单本科硕士学位证留信学历认证ugzga
 
Spring Summer 26 Colors Trend Book Peclers Paris
Spring Summer 26 Colors Trend Book Peclers ParisSpring Summer 26 Colors Trend Book Peclers Paris
Spring Summer 26 Colors Trend Book Peclers ParisPeclers Paris
 
Abortion Clinic in Springs +27791653574 Springs WhatsApp Abortion Clinic Serv...
Abortion Clinic in Springs +27791653574 Springs WhatsApp Abortion Clinic Serv...Abortion Clinic in Springs +27791653574 Springs WhatsApp Abortion Clinic Serv...
Abortion Clinic in Springs +27791653574 Springs WhatsApp Abortion Clinic Serv...mikehavy0
 
如何办理(Bath毕业证书)巴斯大学毕业证成绩单本科硕士学位证留信学历认证
如何办理(Bath毕业证书)巴斯大学毕业证成绩单本科硕士学位证留信学历认证如何办理(Bath毕业证书)巴斯大学毕业证成绩单本科硕士学位证留信学历认证
如何办理(Bath毕业证书)巴斯大学毕业证成绩单本科硕士学位证留信学历认证ugzga
 
如何办理(ArtEZ毕业证书)ArtEZ艺术学院毕业证成绩单本科硕士学位证留信学历认证
如何办理(ArtEZ毕业证书)ArtEZ艺术学院毕业证成绩单本科硕士学位证留信学历认证如何办理(ArtEZ毕业证书)ArtEZ艺术学院毕业证成绩单本科硕士学位证留信学历认证
如何办理(ArtEZ毕业证书)ArtEZ艺术学院毕业证成绩单本科硕士学位证留信学历认证ugzga
 
18+ Young ℂall Girls Vadodara Book Esha 7427069034 Top Class ℂall Girl Serviℂ...
18+ Young ℂall Girls Vadodara Book Esha 7427069034 Top Class ℂall Girl Serviℂ...18+ Young ℂall Girls Vadodara Book Esha 7427069034 Top Class ℂall Girl Serviℂ...
18+ Young ℂall Girls Vadodara Book Esha 7427069034 Top Class ℂall Girl Serviℂ...Payal Garg #K09
 

Recently uploaded (20)

如何办理(UW毕业证书)华盛顿大学毕业证成绩单本科硕士学位证留信学历认证
如何办理(UW毕业证书)华盛顿大学毕业证成绩单本科硕士学位证留信学历认证如何办理(UW毕业证书)华盛顿大学毕业证成绩单本科硕士学位证留信学历认证
如何办理(UW毕业证书)华盛顿大学毕业证成绩单本科硕士学位证留信学历认证
 
Gamestore case study UI UX by Amgad Ibrahim
Gamestore case study UI UX by Amgad IbrahimGamestore case study UI UX by Amgad Ibrahim
Gamestore case study UI UX by Amgad Ibrahim
 
Rise of Digital Textiles__Published in PrintAction
Rise of Digital Textiles__Published in PrintActionRise of Digital Textiles__Published in PrintAction
Rise of Digital Textiles__Published in PrintAction
 
一模一样英国德比大学毕业证(derby毕业证书)本科学历-国外大学文凭办理
一模一样英国德比大学毕业证(derby毕业证书)本科学历-国外大学文凭办理一模一样英国德比大学毕业证(derby毕业证书)本科学历-国外大学文凭办理
一模一样英国德比大学毕业证(derby毕业证书)本科学历-国外大学文凭办理
 
一比一原版(ANU毕业证书)澳大利亚国立大学毕业证原件一模一样
一比一原版(ANU毕业证书)澳大利亚国立大学毕业证原件一模一样一比一原版(ANU毕业证书)澳大利亚国立大学毕业证原件一模一样
一比一原版(ANU毕业证书)澳大利亚国立大学毕业证原件一模一样
 
如何办理(UB毕业证书)纽约州立大学水牛城分校毕业证成绩单本科硕士学位证留信学历认证
如何办理(UB毕业证书)纽约州立大学水牛城分校毕业证成绩单本科硕士学位证留信学历认证如何办理(UB毕业证书)纽约州立大学水牛城分校毕业证成绩单本科硕士学位证留信学历认证
如何办理(UB毕业证书)纽约州立大学水牛城分校毕业证成绩单本科硕士学位证留信学历认证
 
ECHOES OF GENIUS - A Tribute to Nari Gandhi's Architectural Legacy. .pdf
ECHOES OF GENIUS - A Tribute to Nari Gandhi's Architectural Legacy. .pdfECHOES OF GENIUS - A Tribute to Nari Gandhi's Architectural Legacy. .pdf
ECHOES OF GENIUS - A Tribute to Nari Gandhi's Architectural Legacy. .pdf
 
如何办理(UCL毕业证书)伦敦大学学院毕业证成绩单本科硕士学位证留信学历认证
如何办理(UCL毕业证书)伦敦大学学院毕业证成绩单本科硕士学位证留信学历认证如何办理(UCL毕业证书)伦敦大学学院毕业证成绩单本科硕士学位证留信学历认证
如何办理(UCL毕业证书)伦敦大学学院毕业证成绩单本科硕士学位证留信学历认证
 
一比一原版(WLU毕业证)罗瑞尔大学毕业证成绩单留信学历认证原版一模一样
一比一原版(WLU毕业证)罗瑞尔大学毕业证成绩单留信学历认证原版一模一样一比一原版(WLU毕业证)罗瑞尔大学毕业证成绩单留信学历认证原版一模一样
一比一原版(WLU毕业证)罗瑞尔大学毕业证成绩单留信学历认证原版一模一样
 
Branding in the Psychedelic Landscape Report.pdf
Branding in the Psychedelic Landscape Report.pdfBranding in the Psychedelic Landscape Report.pdf
Branding in the Psychedelic Landscape Report.pdf
 
GBU INDOOR STADIUM CASE STUDY DESCRIBING ITS STRUCTURE
GBU INDOOR STADIUM CASE STUDY DESCRIBING ITS STRUCTUREGBU INDOOR STADIUM CASE STUDY DESCRIBING ITS STRUCTURE
GBU INDOOR STADIUM CASE STUDY DESCRIBING ITS STRUCTURE
 
Morgenbooster: Storytelling in Identity Design
Morgenbooster: Storytelling in Identity DesignMorgenbooster: Storytelling in Identity Design
Morgenbooster: Storytelling in Identity Design
 
Spring Summer 2026 Inspirations trend book Peclers Paris
Spring Summer 2026 Inspirations trend book Peclers ParisSpring Summer 2026 Inspirations trend book Peclers Paris
Spring Summer 2026 Inspirations trend book Peclers Paris
 
Solutions For Social Media App Development (1).pptx
Solutions For Social Media App Development (1).pptxSolutions For Social Media App Development (1).pptx
Solutions For Social Media App Development (1).pptx
 
如何办理(Birmingham毕业证书)伯明翰大学学院毕业证成绩单本科硕士学位证留信学历认证
如何办理(Birmingham毕业证书)伯明翰大学学院毕业证成绩单本科硕士学位证留信学历认证如何办理(Birmingham毕业证书)伯明翰大学学院毕业证成绩单本科硕士学位证留信学历认证
如何办理(Birmingham毕业证书)伯明翰大学学院毕业证成绩单本科硕士学位证留信学历认证
 
Spring Summer 26 Colors Trend Book Peclers Paris
Spring Summer 26 Colors Trend Book Peclers ParisSpring Summer 26 Colors Trend Book Peclers Paris
Spring Summer 26 Colors Trend Book Peclers Paris
 
Abortion Clinic in Springs +27791653574 Springs WhatsApp Abortion Clinic Serv...
Abortion Clinic in Springs +27791653574 Springs WhatsApp Abortion Clinic Serv...Abortion Clinic in Springs +27791653574 Springs WhatsApp Abortion Clinic Serv...
Abortion Clinic in Springs +27791653574 Springs WhatsApp Abortion Clinic Serv...
 
如何办理(Bath毕业证书)巴斯大学毕业证成绩单本科硕士学位证留信学历认证
如何办理(Bath毕业证书)巴斯大学毕业证成绩单本科硕士学位证留信学历认证如何办理(Bath毕业证书)巴斯大学毕业证成绩单本科硕士学位证留信学历认证
如何办理(Bath毕业证书)巴斯大学毕业证成绩单本科硕士学位证留信学历认证
 
如何办理(ArtEZ毕业证书)ArtEZ艺术学院毕业证成绩单本科硕士学位证留信学历认证
如何办理(ArtEZ毕业证书)ArtEZ艺术学院毕业证成绩单本科硕士学位证留信学历认证如何办理(ArtEZ毕业证书)ArtEZ艺术学院毕业证成绩单本科硕士学位证留信学历认证
如何办理(ArtEZ毕业证书)ArtEZ艺术学院毕业证成绩单本科硕士学位证留信学历认证
 
18+ Young ℂall Girls Vadodara Book Esha 7427069034 Top Class ℂall Girl Serviℂ...
18+ Young ℂall Girls Vadodara Book Esha 7427069034 Top Class ℂall Girl Serviℂ...18+ Young ℂall Girls Vadodara Book Esha 7427069034 Top Class ℂall Girl Serviℂ...
18+ Young ℂall Girls Vadodara Book Esha 7427069034 Top Class ℂall Girl Serviℂ...
 

UX in the Age of AI: Where Does Design Fit In? Fluxible 2017

  • 1. Carol Smith @carologic Fluxible Waterloo, Ontario, Canada Sept. 23, 2017 UX in the Age of AI: Where Does Design Fit In?
  • 2. AI is when Machines – Exhibit intelligence – Perceive their environment – Take actions to maximize chance of success at a goal https://developer.softbankrobotics.com/us-en/showcase/nao-ibm-create-new-hilton-concierge
  • 3. IBM Watson / UX in the Age of AI / @carologic / Fluxible In the extreme… Google Search for “movies with AI” Copyrights as labeled.
  • 4. IBM Watson / UX in the Age of AI / @carologic / Fluxible “Most people working in AI have a healthy skepticism for the idea of the singularity. We know how hard it is to get even a little intelligence into a machine, let alone enough to achieve recursive self- improvement.” – Toby Walsh
  • 5. IBM Watson / UX in the Age of AI / @carologic / Fluxible Why is the singularity so far off? • Sheer amount of effort to build systems – Huge amounts of related information – Organizing and annotating • Training requires deep understanding of the specific content
  • 6. IBM Watson / UX in the Age of AI / @carologic / Fluxible Cognitive computers are • Knowledgeable about what taught • Aware of nuances • Control ONLY what we give them control of • Continue to learn with more data
  • 7. Remember: “We can unplug the machines!” Grady Booch, Scientist, philosopher, IBM’er https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence
  • 8. IBM Watson / UX in the Age of AI / @carologic / Fluxible Requires annotation of content Image created by Angela Swindell, Visual Designer, IBM’er on Watson Knowledge Studio
  • 9. IBM Watson / UX in the Age of AI / @carologic / Fluxible Transfer human concepts and relationships Photo by sunlightfoundation https://www.flickr.com/photos/sunlightfoundation/2385174105
  • 10. IBM Watson / UX in the Age of AI / @carologic / Fluxible Number Five “Needs Input” Short Circuit (1986 film) Ally Sheedy and Number Five (Tim Blaney) https://en.wikipedia.org/wiki/Short_Circuit_(1986_film)
  • 11. IBM Watson / UX in the Age of AI / @carologic / Fluxible AI is taxonomies and ontologies coming to life (NOT like humans learn) https://commons.wikimedia.org/wiki/File:Baby_Boy_Oliver.jpg
  • 12. IBM Watson / UX in the Age of AI / @carologic / Fluxible Supervised (by a human) Machine Learning Watson Knowledge Studio, Supervised Machine Learning: https://www.ibm.com/us-en/marketplace/supervised-machine-learning
  • 13. Enormous amount of work. Only as good as data and time spent improving it Biased based on what it taught
  • 14. IBM Watson / UX in the Age of AI / @carologic / Fluxible Knowledge and Accuracy • How important is accuracy? • Consider a reverse card sorting exercise Gaffney, Gerry. (2000) What is Card Sorting? Usability Techniques Series, Information & Design. http://www.infodesign.com.au/usabilityresources/design/cardsorting.asp
  • 15. IBM Watson / UX in the Age of AI / @carologic / Fluxible Across industries – priority of accuracy varies Higher Priority 90-99%+ Lower Priority 60-89% accuracy is acceptable
  • 16. IBM Watson / UX in the Age of AI / @carologic / Fluxible Goal is saving time Machine learning creates more highly trained specialists Not an “all knowing” being
  • 17. IBM Watson / UX in the Age of AI / @carologic / Fluxible Cancer Burden in Sub-Saharan Africa Risk of getting cancer and Risk of Dying ~same The Cancer Atlas http://canceratlas.cancer.org/the-burden/
  • 18. IBM Watson / UX in the Age of AI / @carologic / Fluxible What if we could reduce the burden? • Bring those taxonomies and ontologies to life • Broaden access to evidence based medicine • More informed treatment decisions • Helping physicians (not replacing) IBM Watson for Oncology
  • 19. IBM Watson / UX in the Age of AI / @carologic / Fluxible Why does training take so long? • Create algorithms • Gather documents • Create ground truth (annotation) • Run training • Improve and test again • Repeat (new information, etc.)
  • 20. IBM Watson / UX in the Age of AI / @carologic / Fluxible Dependent on Experts • Subject Matter Experts (SME’s) Availability • Experience in Training varies – Close collaboration
  • 21. IBM Watson / UX in the Age of AI / @carologic / Fluxible “The goal is not just the fastest but the most productive machine-learning platform for researchers.” - Pradeep Dubey, Intel Fellow at the Intel Labs division http://www.intel.com/content/www/us/en/analytics/machine -learning/the-race-for-faster-machine-learning.html
  • 22. Humans teach what we feel is important… teach them to share our values. Super knowing - not super doing Grady Booch, Scientist, philosopher, IBM’er https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence
  • 23. IBM Watson / UX in the Age of AI / @carologic / Fluxible Examples of AI and Cognitive Computing
  • 24. IBM Watson / UX in the Age of AI / @carologic / Fluxible Strategic Games • 1997 Chess, IBM • 2016 Go, Google Floor goban, 2007, By Goban1 https://commons.wikimedia.org/wiki/File:FloorGoban.JPG Graphic, Science Magazine: http://www.sciencemag.org/news/2016/03/update-why-week-s-man- versus-machine-go-match-doesn-t-matter-and-what-does
  • 25. IBM Watson / UX in the Age of AI / @carologic / Fluxible Understanding human speech • Watson developed for quiz show Jeopardy! • Won against champions in 2011 for $1 million https://en.wikipedia.org/wiki/Watson_(computer) Video: “IBM's Watson Supercomputer Destroys Humans in Jeopardy | Engadget” https://www.youtube.com/watch?v=WFR3lOm_xhE
  • 26. IBM Watson / UX in the Age of AI / @carologic / Fluxible Decision Making: Self Driving (autonomous) vehicles Junior, a robotic Volkswagen Passat, in a parking lot at Stanford University, 24 October 2009, By: Steve Jurvetson https://en.wikipedia.org/wiki/File:Hands-free_Driving.jpg
  • 27. IBM Watson / UX in the Age of AI / @carologic / Fluxible Image Recognition – Google Photos Carol’s search for “cats” on her Photos account. She likes Lacey and Magic quite a bit and being sisters, they like each other. 
  • 28. IBM Watson / UX in the Age of AI / @carologic / Fluxible Sound recognition: Labeling of birdsongs “Comparison of machine learning methods applied to birdsong element classification” by David Nicholson. Proceedings of the 15th Python in Science Conference (SCIPY 2016). http://conference.scipy.org/proceedings/scipy2016/pdfs/david_nicholson.pdf Photo by Gallo71 (Own work) [Public domain], via Wikimedia Commons https://commons.wikimedia.org/wiki/File%3ARbruni.JPG
  • 29. IBM Watson / UX in the Age of AI / @carologic / Fluxible Analyzing Text: Personality of @carologic (not quite) IBM Watson Developer Cloud, Personality Insights https://personality-insights-livedemo.mybluemix.net/
  • 30. IBM Watson / UX in the Age of AI / @carologic / Fluxible Automating Repetitive Work • Highlight possible issues • Radiologist confirms https://www.technologyreview.com/s/600706/ibms-automated- radiologist-can-read-images-and-medical-records/
  • 31. IBM Watson / UX in the Age of AI / @carologic / Fluxible 88,000 retina images • Watson knows what a healthy eye looks like • Glaucoma is the second leading cause of blindness worldwide –50% of cases go undetected https://twitter.com/IBMWatson/status/844545761740292096
  • 32. IBM Watson / UX in the Age of AI / @carologic / Fluxible Chatbots for Easy ordering • Order via text, email, Facebook Messenger or with a Slackbot • Cognitive pieces: –Speech-to-text –Chat –API’s in backend Story: http://www.businesswire.com/news/home/20161025006273/en/Staples%E2%80%99- %E2%80%9CEasy-Button%E2%80%9D-Life-IBM-Watson Photo: Easy Button from Staples: http://www.staples.com/Staples-Easy-Button/product_606396
  • 33. IBM Watson / UX in the Age of AI / @carologic / Fluxible Chatbots – not really AI, yet • Mapping Q & A –Expected language –Appropriate automated responses –When to escalate to a human https://www.pexels.com/photo/close-up-of-mobile-phone-248512/ https://www.amazon.com/Amazon-Echo-Bluetooth-Speaker-with-WiFi-Alexa/dp/B00X4WHP5E https://www.ibm.com/watson/developercloud/doc/conversation/index.html
  • 34. IBM Watson / UX in the Age of AI / @carologic / Fluxible Optical character recognition (OCR) • Used to be AI • Now considered routine computing Portable scanner and OCR (video) https://en.wikipedia.org/wiki/File:Portable_scanner_and_OCR_(video).webm
  • 35. IBM Watson / UX in the Age of AI / @carologic / Fluxible Ethics in Design for AI
  • 36. IBM Watson / UX in the Age of AI / @carologic / Fluxible How might we… • build systems that have ethical and moral foundation?’ • that are transparent to users? • teach mercy and justice of law? • extend and advance healthcare? • increase safety in dangerous work? Grady Booch, Scientist, philosopher, IBM’er https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence
  • 37. IBM Watson / UX in the Age of AI / @carologic / Fluxible So that we trust machines just as much as a well-trained human?
  • 38. IBM Watson / UX in the Age of AI / @carologic / Fluxible Guiding Principles – Ethical AI • Purpose • Aid humans, not replace them • Symbiotic relationship “3 guiding principles for ethical AI, from IBM CEO Ginni Rometty” by Alison DeNisco. January 17, 2017, Tech Republic http://www.techrepublic.com/article/3-guiding- principles-for-ethical-ai-from-ibm-ceo-ginni-rometty/
  • 39. IBM Watson / UX in the Age of AI / @carologic / Fluxible Transparency • How AI was trained • What data was used • Humans remain in control of the system “3 guiding principles for ethical AI, from IBM CEO Ginni Rometty” by Alison DeNisco. January 17, 2017, Tech Republic http://www.techrepublic.com/article/3-guiding- principles-for-ethical-ai-from-ibm-ceo-ginni-rometty/
  • 40. IBM Watson / UX in the Age of AI / @carologic / Fluxible Skills • Build with people in the industry • Human workers trained on how to use these tools to their advantage “3 guiding principles for ethical AI, from IBM CEO Ginni Rometty” by Alison DeNisco. January 17, 2017, Tech Republic http://www.techrepublic.com/article/3-guiding- principles-for-ethical-ai-from-ibm-ceo-ginni-rometty/
  • 41. IBM Watson / UX in the Age of AI / @carologic / Fluxible Regulations • Almost everyone agrees they are necessary • Who will create regulations? • Enforce?
  • 42. IBM Watson / UX in the Age of AI / @carologic / Fluxible Create a code of conduct • Regulations take forever • Take responsibility – What do you value? – What lines won’t your AI cross? – How do you reduce bias?
  • 43. IBM Watson / UX in the Age of AI / @carologic / Fluxible AI will “extend human experience in profound ways” - Grady Booch, Scientist, philosopher, IBM’er Grady Booch, Scientist, philosopher, IBM’er https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence
  • 44. IBM Watson / UX in the Age of AI / @carologic / Fluxible How do we evolve the practice of UX to deal with the new issues these technologies bring and the new information that is created?
  • 45. IBM Watson / UX in the Age of AI / @carologic / Fluxible Don’t fear AI - explore AI Try the tools Pair with others IBM Watson Developer Tools (free trials): https://console.ng.bluemix.net/catalog/?categ ory=watson
  • 46. IBM Watson / UX in the Age of AI / @carologic / Fluxible Go forth and create ethical AI’s • Purpose • Transparency • Skills • Code of Conduct “3 guiding principles for ethical AI, from IBM CEO Ginni Rometty” by Alison DeNisco. January 17, 2017, Tech Republic http://www.techrepublic.com/article/3-guiding- principles-for-ethical-ai-from-ibm-ceo-ginni-rometty/
  • 47. IBM Watson / UX in the Age of AI / @carologic / Fluxible Contact Carol LinkedIn: https://www.linkedin.com/in/caroljsmith Twitter - @Carologic: https://twitter.com/carologic Slides on Slideshare: https://www.slideshare.net/carologic
  • 48. IBM Watson / UX in the Age of AI / @carologic / Fluxible Additional Information and Resources
  • 49. IBM Watson / UX in the Age of AI / @carologic / Fluxible “The biggest challenge here is “understanding people, not just what they vocalize,”.... Our motivations are often not expressed upfront, yet it is key to understanding what people want to get done.” - Rob High, IBM fellow and Watson CTO https://techcrunch.com/2017/02/27/for-ibms-cto-for-watson-not-a- lot-of-value-in-replicating-the-human-mind-in-a-computer/
  • 50. IBM Watson / UX in the Age of AI / @carologic / Fluxible Should work to Reduce Waste • Sharing of models, annotators, algorithms not desirable (currently): – Huge amount of work – Proprietary information • Benefits are not clear to business (yet): – “A rising tide lifts all boats" – Build on others work – Solve more interesting problems
  • 51. IBM Watson / UX in the Age of AI / @carologic / Fluxible Watson is a cognitive technology that can think like a human. • Understand • Analyze and interpret all kinds of data • Unstructured text, images, audio and video • Reason • Understand the personality, tone, and emotion of content • Learn • Grow the subject matter expertise in your apps and systems • Interact • Create chat bots that can engage in dialog https://www.ibm.com/watson/
  • 52. IBM Watson / UX in the Age of AI / @carologic / Fluxible More on Strategic Games Graphic, Science Magazine: http://www.sciencemag.org/news/2016/03/update-why-week-s-man- versus-machine-go-match-doesn-t-matter-and-what-does
  • 53. IBM Watson / UX in the Age of AI / @carologic / Fluxible The Job Question • Make new economies and opportunities – potentially: –Create jobs –Entire new fields • Some jobs will be lost –What can we do to mitigate this? Jobs that no longer exist: The Lector http://www.ranker.com/list/jobs-that-no- longer-exist/coy-jandreau
  • 54. IBM Watson / UX in the Age of AI / @carologic / Fluxible Tone Analyzer - Watson IBM Watson Developer Cloud, Tone Analyzer https://tone-analyzer-demo.mybluemix.net/
  • 55. IBM Watson / UX in the Age of AI / @carologic / Fluxible Optimist’s guide to the robot apocalypse - @sarahfkessler “The optimist’s guide to the robot apocalypse” by Sarah Kessler. March 09, 2017. QZ. @sarahfkessler https://qz.com/904285/the-optimists-guide-to-the-robot-apocalypse/
  • 56. IBM Watson / UX in the Age of AI / @carologic / Fluxible Additional Resources • “How IBM is Competing with Google in AI.” The Information. https://www.theinformation.com/how-ibm-is- competing-with-google-in-ai?eu=2zIDMNYNjDp7KqL4YqAXXA • “The business case for augmented intelligence” https://medium.com/cognitivebusiness/the-business-case- for-augmented-intelligence-36afa64cd675 • “Comparison of machine learning methods applied to birdsong element classification” by David Nicholson. Proceedings of the 15th Python in Science Conference (SCIPY 2016). http://conference.scipy.org/proceedings/scipy2016/pdfs/david_nicholson.pdf • “Staples’ “Easy Button” Comes to Life with IBM Watson” in Business Wire, October 25, 2016. http://www.businesswire.com/news/home/20161025006273/en/Staples%E2%80%99-%E2%80%9CEasy- Button%E2%80%9D-Life-IBM-Watson • “How Staples Is Making Its Easy Button Even Easier With A.I.” by Chris Cancialosi, Forbes. https://www.forbes.com/sites/chriscancialosi/2016/12/13/how-staples-is-making-its-easy-button-even-easier- with-a-i/#4ae66e8359ef • “Inside Intel: The Race for Faster Machine Learning” http://www.intel.com/content/www/us/en/analytics/machine-learning/the-race-for-faster-machine- learning.html
  • 57. IBM Watson / UX in the Age of AI / @carologic / Fluxible More Resources • “Update: Why this week’s man-versus-machine Go match doesn’t matter (and what does)” by Dana Mackenzie. Science Magazine. Mar. 15, 2016 http://www.sciencemag.org/news/2016/03/update-why-week- s-man-versus-machine-go-match-doesn-t-matter-and-what-does • “For IBM’s CTO for Watson, not a lot of value in replicating the human mind in a computer.” by Frederic Lardinois (@fredericl), TechCrunch, Posted Feb 27, 2017. https://techcrunch.com/2017/02/27/for-ibms-cto- for-watson-not-a-lot-of-value-in-replicating-the-human-mind-in-a-computer/ • “Google and IBM: We Want Artificial Intelligence to Help You, Not Replace You” Most Powerful Women by Michelle Toh. Mar 02, 2017. Fortune. http://fortune.com/2017/03/02/google-ibm-artificial-intelligence/ • “Facebook scales back AI flagship after chatbots hit 70% f-AI-lure rate - 'The limitations of automation‘” by Andrew Orlowski. Feb 22, 2017. The Register https://www.theregister.co.uk/2017/02/22/facebook_ai_fail/ • “Microsoft is deleting its AI chatbot's incredibly racist tweets” by Rob Price. Mar. 24, 2016. Business Insider UK. http://www.businessinsider.com/microsoft-deletes-racist-genocidal-tweets-from-ai-chatbot-tay-2016-3 Special Thanks: Soundtrack to 'Run Lola Run', 1998 German thriller film written and directed by Tom Tykwer, and starring Franka Potente as Lola and Moritz Bleibtreu as Manni. Soundtrack by Tykwer, Johnny Klimek, and Reinhold Heil
  • 58. IBM Watson / UX in the Age of AI / @carologic / Fluxible Even More Resources • “IBM’s Automated Radiologist Can Read Images and Medical Records” by Tom Simonite, February 4, 2016. Intelligent Machines, MIT Technology Review. https://www.technologyreview.com/s/600706/ibms- automated-radiologist-can-read-images-and-medical-records/ • “The IBM, Salesforce AI Mash-Up Could Be a Stroke of Genius” by Adam Lashinsky, Mar 07, 2017. Fortune. http://fortune.com/2017/03/07/data-sheet-ibm-salesforce/ • "Google can now tell you're not a robot with just one click" by Andy Greenberg. Dec. 3, 2014. Security: Wired. https://www.wired.com/2014/12/google-one-click-recaptcha/ • “Essentials of Machine Learning Algorithms (with Python and R Codes)” by Sunil Ray, August 10, 2015. Analytics Vidhya. https://www.analyticsvidhya.com/blog/2015/08/common-machine-learning-algorithms/ • IBM on Machine Learning https://www.ibm.com/analytics/us/en/technology/machine-learning/ • “At Davos, IBM CEO Ginni Rometty Downplays Fears of a Robot Takeover” by Claire Zillman, Jan 18, 2017. Fortune. http://fortune.com/2017/01/18/ibm-ceo-ginni-rometty-ai-davos/ • “Google and IBM: We Want Artificial Intelligence to Help You, Not Replace You” by Michelle Toh. Mar 02, 2017. Fortune. http://fortune.com/2017/03/02/google-ibm-artificial-intelligence/
  • 59. IBM Watson / UX in the Age of AI / @carologic / Fluxible Yes, even more resources • Video: “IBM Watson Knowledge Studio: Teach Watson about your unstructured data” https://www.youtube.com/watch?v=caIdJjtvX1s&t=6s • “The optimist’s guide to the robot apocalypse” by Sarah Kessler, @sarahfkessler. March 09, 2017. QZ. https://qz.com/904285/the-optimists-guide-to-the-robot-apocalypse/ • “AI Influencers 2017: Top 30 people in AI you should follow on Twitter" by Trips Reddy @tripsy, Senior Content Manager, IBM Watson . February 10, 2017 https://www.ibm.com/blogs/watson/2017/02/ai- influencers-2017-top-25-people-ai-follow-twitter/ • “3 guiding principles for ethical AI, from IBM CEO Ginni Rometty” by Alison DeNisco. January 17, 2017, Tech Republic http://www.techrepublic.com/article/3-guiding-principles-for-ethical-ai-from-ibm-ceo-ginni- rometty/ • "Transparency and Trust in the Cognitive Era" January 17, 2017 Written by: IBM THINK Blog https://www.ibm.com/blogs/think/2017/01/ibm-cognitive-principles/ • "Ethics and Artificial Intelligence: The Moral Compass of a Machine“ by Kris Hammond, April 13, 2016. Recode. http://www.recode.net/2016/4/13/11644890/ethics-and-artificial-intelligence-the-moral-compass-of- a-machine
  • 60. IBM Watson / UX in the Age of AI / @carologic / Fluxible Last bit: I promise • "The importance of human innovation in A.I. ethics" by John C. Havens. Oct. 03, 2015 http://mashable.com/2015/10/03/ethics-artificial-intelligence/#yljsShvAFsqy • "Me, Myself and AI" Fjordnet Limited 2017 - Accenture Digital. https://trends.fjordnet.com/trends/me-myself- ai • "Testing AI concepts in user research" By Chris Butler, Mar 2, 2017. https://uxdesign.cc/testing-ai-concepts- in-user-research-b742a9a92e55#.58jtc7nzo • "CMU prof says computers that can 'see' soon will permeate our lives“ by Aaron Aupperlee. March 16, 2017. http://triblive.com/news/adminpage/12080408-74/cmu-prof-says-computers-that-can-see-soon-will- permeate-our-lives • “The business case for augmented intelligence” by Nancy Pearson, VP Marketing, IBM Cognitive. https://medium.com/cognitivebusiness/the-business-case-for-augmented-intelligence- 36afa64cd675#.qqzvunakw
  • 61. IBM Watson / UX in the Age of AI / @carologic / Fluxible Definition: Artificial Intelligence • Artificial intelligence (AI) is intelligence exhibited by machines. • In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at some goal.[1] Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".[2] • Capabilities currently classified as AI include successfully understanding human speech,[4] competing at a high level in strategic game systems (such as Chess and Go[5]), self-driving cars, and interpreting complex data. Wikipedia: https://en.wikipedia.org/wiki/Artificial_intelligence#cite_note-Intelligent_agents-1
  • 62. IBM Watson / UX in the Age of AI / @carologic / Fluxible Definition: The Singularity • If research into Strong AI produced sufficiently intelligent software, it might be able to reprogram and improve itself. The improved software would be even better at improving itself, leading to recursive self-improvement.[245] The new intelligence could thus increase exponentially and dramatically surpass humans. Science fiction writer Vernor Vinge named this scenario "singularity".[246] Technological singularity is when accelerating progress in technologies will cause a runaway effect wherein artificial intelligence will exceed human intellectual capacity and control, thus radically changing or even ending civilization. Because the capabilities of such an intelligence may be impossible to comprehend, the technological singularity is an occurrence beyond which events are unpredictable or even unfathomable.[246] • Ray Kurzweil has used Moore's law (which describes the relentless exponential improvement in digital technology) to calculate that desktop computers will have the same processing power as human brains by the year 2029, and predicts that the singularity will occur in 2045.[246] Wikipedia: https://en.wikipedia.org/wiki/Artificial_intelligence#cite_note-Intelligent_agents-1
  • 63. IBM Watson / UX in the Age of AI / @carologic / Fluxible Definition: Machine Learning • Ability for system to take basic knowledge (does not mean simple or non-complex) and apply that knowledge to new data • Raises ability to discover new information • Find unknowns in data • https://en.wikipedia.org/wiki/Machine_learning More Definitions • Algorithm: a process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer. https://en.wikipedia.org/wiki/Algorithm • Natural Language Processing (NLP): https://en.wikipedia.org/wiki/Natural_language_processing

Editor's Notes

  1. More recently, The Terminator, Short Circuit, 2001 Space Odyssey, The Matrix, Metropolis Westworld
  2. Metropolis (1927), 2001 Space Odyssey (1968), War Games (1983), Blade Runner (1982), The Terminator (1984), Short Circuit (1986), The Matrix (1999), Ex Machina (2015),
  3. Take set of knowledge we give them and apply to new data Help humans discover patterns and find unknown
  4. Provide body of knowledge for ground-truth curated representative used to compare further knowledge
  5. Training Don’t learn like a typical human Only what they need to know
  6. Consider a reverse card sorting exercise 30 participants How important is it that they all get it right every time? Consider your industry
  7. Government safety compliance Accidents related to this tire? Financial compliance Accounts with connections to this organization? Ecommerce chat bot Women’s pants with pockets?
  8. When carefully (or not so carefully) piled books succumb to gravity Grew up with bookalanches occurring regularly Stepfather is an oncologist – would bring home piles of articles, papers, books and more. He reads everything he can get his hands on. He never stops trying to understand and fight cancer.
  9. Late stage of disease at diagnosis and lack of treatment
  10. Analyzes a patient’s medical information against a vast array of data and expertise to provide evidence-based treatment options. Saving some trees and reducing bookalanches
  11. IBM’s Deep Blue beat world chess champion Garry Kasparov in a 6 game match Google's AlphaGo beat human world Go champion Lee Sedol, 4:1
  12. Developed initially to answer Jeopardy! questions IBM's Watson named after IBM's first CEO, industrialist Thomas J. Watson.
  13. “Comparison of machine learning methods applied to birdsong element classification” by David Nicholson. Proceedings of the 15th Python in Science Conference (SCIPY 2016). http://conference.scipy.org/proceedings/scipy2016/pdfs/david_nicholson.pdf “Analysis of birdsong (for neuroscience or the many other fields that study this behavior) typically focuses on "syllables" or "notes", recurring elements in the song… Each individual has a unique song that bears some similarity to the song of the bird that tutored it, but is not a direct copy. To analyze song, experimenters label syllables by hand. Typically the experimenter records one bird at a time while carrying out a behavioral experiment. However, each songbird produces thousands of songs a day, more than can be labeled. In order to deal with this mountain of data, some labs have developed automated analyses.” David Nicholson trained a classifier on syllables of one bird’s song to automate labeling of those syllables (same bird). This was not to train a classifier to distinguish the song of one bird from another.
  14. Specialists spend more time on more complex patients IBM’s Avicenna software highlighted possible embolisms on this CT scan in green, finding mostly the same problems as a human radiologist who marked up the image in red.
  15. IBM Research Australia is working to help stop this ‘silent thief of sight’ by teaching Watson to detect it. After learning from 88,000 retina images, Watson can understand what a healthy eye looks like, and identify abnormalities that indicate of the onset of eye diseases like glaucoma. In the future, this early detection technology could help keep glaucoma out of sight for millions.
  16. Reorder Track shipments Chat with CSR http://www.businesswire.com/news/home/20161025006273/en/Staples%E2%80%99-%E2%80%9CEasy-Button%E2%80%9D-Life-IBM-Watson “Simplifies the customers’ shopping experience, allowing them to quickly reorder supplies, track shipments or chat about customer service needs.” Staples “Easy Button” office supply reordering system which integrates IBM’s Watson technology to simplify office supply management for Staples Business Advantage Customers
  17. teach to discern between right and wrong? letter vs. spirit of law?
  18. The Job: To read to large rooms of factory workers slaving away at remedial tasks for hours on end. Lectors were sometimes even hired with pooled money from the factory workers themselves for their entertainment. Who Did It: Well spoken gentlemen. Why It Went Away: A whole smorgasbord of reasons from the radio, to the Walk-Man, iPhones, iPods, podcasts... By Coy Jandreau - user uploaded image