What is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
Solve for X with AI: a VC view of the Machine Learning & AI landscapeEd Fernandez
What you'll get from this deck
1. The M&A race for AI: by the numbers
2. Watch out! hype ahead: definitions & disclaimers
3. Machine Learning drivers: why is Machine Learning a ‘thing’ now (vs before)
4. Venture Capital: forming an industry, the AI/ML landscape
5. The One Hundred (+13) AI startups to watch in the Enterprise
6. The great Enterprise pivot: applying Machine Learning at scale
7. - where to go next -
A journey into the business world of artificial intelligence. Explore at a high-level ongoing business experiments in creating new value.
* Review AI as a priority for value generation
* Explore ongoing experimentation
* Touch on how businesses are monetising AI
* Understand the intent of adoption by industries
* Discuss on the state of customer trust in AI
Part 1 of a 9 Part Research Series named "What matters in AI" published on https://www.andremuscat.com
The Future Of Work & The Work Of The FutureArturo Pelayo
What Happens When Robots And Machines Learn On Their Own?
This slide deck is an introduction to exponential technologies for an audience of designers and developers of workforce training materials.
The Blended Learning And Technologies Forum (BLAT Forum) is a quarterly event in Auckland, New Zealand that welcomes practitioners, designers and developers of blended learning instructional deliverables across different industries of the New Zealand economy.
What is ChatGPT and how can we use it? This is a talk given at Affiliate Summit West -- January 2023 to explain what ChatGPT is and isn't and how we can use it in Search.
All images were created using Dall-e.
Using ChatGPT can be helpful in presentations to explain concepts in easy-to-understand terms.
Pairing that with Dall-E 2 can make your slides fun and interesting.
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
Design for Startups - Build Better Products, Not More FeaturesVitaly Golomb
Pre-order Vitaly's book "Accelerated Startup – The New Business School" http://golomb.net/book
Apple owes the title of the world’s most valuable company to its genius in design. Good design is never accidental and at the core of a successful product is an elegant solution to a painful problem. Design has earned a very important seat at the table with today’s companies especially in the world of software and apps. In this highly engaging presentation, Vitaly covers principles and business value of good design, design disciplines, how to hire and work with designers, and the design success formula.
Solve for X with AI: a VC view of the Machine Learning & AI landscapeEd Fernandez
What you'll get from this deck
1. The M&A race for AI: by the numbers
2. Watch out! hype ahead: definitions & disclaimers
3. Machine Learning drivers: why is Machine Learning a ‘thing’ now (vs before)
4. Venture Capital: forming an industry, the AI/ML landscape
5. The One Hundred (+13) AI startups to watch in the Enterprise
6. The great Enterprise pivot: applying Machine Learning at scale
7. - where to go next -
A journey into the business world of artificial intelligence. Explore at a high-level ongoing business experiments in creating new value.
* Review AI as a priority for value generation
* Explore ongoing experimentation
* Touch on how businesses are monetising AI
* Understand the intent of adoption by industries
* Discuss on the state of customer trust in AI
Part 1 of a 9 Part Research Series named "What matters in AI" published on https://www.andremuscat.com
The Future Of Work & The Work Of The FutureArturo Pelayo
What Happens When Robots And Machines Learn On Their Own?
This slide deck is an introduction to exponential technologies for an audience of designers and developers of workforce training materials.
The Blended Learning And Technologies Forum (BLAT Forum) is a quarterly event in Auckland, New Zealand that welcomes practitioners, designers and developers of blended learning instructional deliverables across different industries of the New Zealand economy.
What is ChatGPT and how can we use it? This is a talk given at Affiliate Summit West -- January 2023 to explain what ChatGPT is and isn't and how we can use it in Search.
All images were created using Dall-e.
Using ChatGPT can be helpful in presentations to explain concepts in easy-to-understand terms.
Pairing that with Dall-E 2 can make your slides fun and interesting.
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
Design for Startups - Build Better Products, Not More FeaturesVitaly Golomb
Pre-order Vitaly's book "Accelerated Startup – The New Business School" http://golomb.net/book
Apple owes the title of the world’s most valuable company to its genius in design. Good design is never accidental and at the core of a successful product is an elegant solution to a painful problem. Design has earned a very important seat at the table with today’s companies especially in the world of software and apps. In this highly engaging presentation, Vitaly covers principles and business value of good design, design disciplines, how to hire and work with designers, and the design success formula.
ChatGPT is a highly advanced language model developed by OpenAI. Its ability to understand and respond to natural language input can be a valuable tool for mobile application developers looking to streamline their workflow and improve their app development process.
WTF - Why the Future Is Up to Us - pptx versionTim O'Reilly
This is the talk I gave January 12, 2017 at the G20/OECD Conference on the Digital Future in Berlin. I talk about fitness landscapes as applied to technology and business, the role of unchecked financialization in the state of our politics and economy, and why technology really wants to create jobs, not destroy them. (There is a separate PDF version, but some readers said the notes were too fuzzy to read.)
Here at Table19, we believe that great work is only possible when clients and their agencies work together as a team. This is a presentation written by our Executive Creative Director Graham Wall, who on his first day in this industry heard the senior team he was shadowing say something he couldn’t understand: that the client had bought the wrong idea.
This set in motion a desire to understand how and why this had happened, and make sure it never happened again. This presentation details Graham’s learnings and philosophies, and shows how agencies and clients can create better work together.
ChatGPT Mastery and the chatGPT Handbook.pdfJirotgak Gotau
The book titled "Chat GPT Mastery and The Chat GPT Handbook" is a comprehensive guide that explores the fascinating world of AI-powered chatbots and the remarkable capabilities of ChatGPT, an advanced language model. With concise explanations, the book covers key concepts such as pre-processing, datasets, databases, GPT models, TPUs, and more.
Readers will discover how chatbots like ChatGPT can simulate human-like conversation, understand user prompts, and generate intelligent responses. The book delves into the intricacies of pre-training and fine-tuning, shedding light on how models like ChatGPT learn from vast amounts of data to provide personalized and engaging interactions.
Moreover, the book explores the broader landscape of AI technologies, including APIs, SDKs, and webhooks, which enable seamless integration of chatbots into various applications. It emphasizes the importance of user-centric design, inclusivity, and scalability in creating effective and user-friendly chatbot experiences.
Throughout the pages, readers will gain insights into advanced topics such as BERTScore, embeddings, multimodal capabilities, and transformative applications of AI. With concise and accessible explanations, this book is perfect for both beginners and enthusiasts seeking a deeper understanding of chatbots and their potential.
"Chat GPT Mastery and The Chat GPT Handbook" offers a captivating exploration of AI-driven conversational agents, empowering readers to grasp the intricacies of the technology and envision its transformative possibilities for practical application.
You can find more interesting books on chatGPT and Ai on amazon. Here's my link to the best ChatGPT and Ai books on amazon: https://amzn.to/43GLTUx
An immersive workshop at General Assembly, SF. I typically teach this workshop at General Assembly, San Francisco. To see a list of my upcoming classes, visit https://generalassemb.ly/instructors/seth-familian/4813
I also teach this workshop as a private lunch-and-learn or half-day immersive session for corporate clients. To learn more about pricing and availability, please contact me at http://familian1.com
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
This article is all about what AI trends will emerge in the field of creative operations in 2024. All the marketers and brand builders should be aware of these trends for their further use and save themselves some time!
ChatGPT What It Is and How Writers Can Use It.pdfAdsy
Have you heard of ChatGPT? This smart model seems to change the way we work in the content marketing field.
We've investigated what this AI tool can do regarding content writing and ready to share the results.
Check this presentation to learn how this chatbot can assist you with content creation.
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
Generative AI: Past, Present, and Future – A Practitioner's PerspectiveHuahai Yang
Generative AI: Past, Present, and Future – A Practitioner's Perspective
As the academic realm grapples with the profound implications of generative AI
and related applications like ChatGPT, I will present a grounded view from my
experience as a practitioner. Starting with the origins of neural networks in
the fields of logic, psychology, and computer science, I trace its history and
align it within the wider context of the pursuit of artificial intelligence.
This perspective will also draw parallels with historical developments in
psychology. Against this backdrop, I chart a proposed trajectory for the future.
Finally, I provide actionable insights for both academics and enterprising
individuals in the field.
TEDx Manchester: AI & The Future of WorkVolker Hirsch
TEDx Manchester talk on artificial intelligence (AI) and how the ascent of AI and robotics impacts our future work environments.
The video of the talk is now also available here: https://youtu.be/dRw4d2Si8LA
Top 5 Deep Learning and AI Stories - October 6, 2017NVIDIA
Read this week's top 5 news updates in deep learning and AI: Gartner predicts top 10 strategic technology trends for 2018; Oracle adds GPU Accelerated Computing to Oracle Cloud Infrastructure; chemistry and physics Nobel Prizes are awarded to teams supported by GPUs; MIT uses deep learning to help guide decisions in ICU; and portfolio management firms are using AI to seek alpha.
If you are like many people, even the thought of delivering a speech in front of an audience will get your palms sweating. The fear of public speaking ranks high among the most common phobias, and for good reason: most of us approach the situation with the wrong mindset, which in turn makes us live out our worst fears in a public forum.
As Michael Parker notes in IT’S NOT WHAT YOU SAY: How to Sell Your Message When It Matters Most (A TarcherPerigee paperback; on sale January 2016), our fixation on the content of our words – and not the presentation of ourselves – is what brings us down. Once the Vice-Chairman of London’s Saatchi & Saatchi, and one of the world’s most experienced advertising pitch men, having made more than 1,000 pitches in his successful career, Parker has learned first-hand that an effective presentation, a job interview, or even a speech at a wedding hinges on our ability to portray ourselves as passionate, relatable, and collected. But, if we are focused on what we say, and not how we act, we will fail to persuade our audience.
Applied in the boardroom, at the pulpit, or even in conversation, these tenets will help you present better in any situation.
This session was presented at the AWS Community Day in Munich (September 2023). It's for builders that heard the buzz about Generative AI but can’t quite grok it yet. Useful if you are eager to connect the dots on the Generative AI terminology and get a fast start for you to explore further and navigate the space. This session is largely product agnostic and meant to give you the fundamentals to get started.
A brief introduction to generative models in general is given, followed by a succinct discussion about text generation models and the "Transformer" architecture. Finally, the focus is set on a non-technical discussion about ChatGPT with a selection of recent news articles.
The SlideShare 101 is a quick start guide if you want to walk through the main features that the platform offers. This will keep getting updated as new features are launched.
The SlideShare 101 replaces the earlier "SlideShare Quick Tour".
ChatGPT is a highly advanced language model developed by OpenAI. Its ability to understand and respond to natural language input can be a valuable tool for mobile application developers looking to streamline their workflow and improve their app development process.
WTF - Why the Future Is Up to Us - pptx versionTim O'Reilly
This is the talk I gave January 12, 2017 at the G20/OECD Conference on the Digital Future in Berlin. I talk about fitness landscapes as applied to technology and business, the role of unchecked financialization in the state of our politics and economy, and why technology really wants to create jobs, not destroy them. (There is a separate PDF version, but some readers said the notes were too fuzzy to read.)
Here at Table19, we believe that great work is only possible when clients and their agencies work together as a team. This is a presentation written by our Executive Creative Director Graham Wall, who on his first day in this industry heard the senior team he was shadowing say something he couldn’t understand: that the client had bought the wrong idea.
This set in motion a desire to understand how and why this had happened, and make sure it never happened again. This presentation details Graham’s learnings and philosophies, and shows how agencies and clients can create better work together.
ChatGPT Mastery and the chatGPT Handbook.pdfJirotgak Gotau
The book titled "Chat GPT Mastery and The Chat GPT Handbook" is a comprehensive guide that explores the fascinating world of AI-powered chatbots and the remarkable capabilities of ChatGPT, an advanced language model. With concise explanations, the book covers key concepts such as pre-processing, datasets, databases, GPT models, TPUs, and more.
Readers will discover how chatbots like ChatGPT can simulate human-like conversation, understand user prompts, and generate intelligent responses. The book delves into the intricacies of pre-training and fine-tuning, shedding light on how models like ChatGPT learn from vast amounts of data to provide personalized and engaging interactions.
Moreover, the book explores the broader landscape of AI technologies, including APIs, SDKs, and webhooks, which enable seamless integration of chatbots into various applications. It emphasizes the importance of user-centric design, inclusivity, and scalability in creating effective and user-friendly chatbot experiences.
Throughout the pages, readers will gain insights into advanced topics such as BERTScore, embeddings, multimodal capabilities, and transformative applications of AI. With concise and accessible explanations, this book is perfect for both beginners and enthusiasts seeking a deeper understanding of chatbots and their potential.
"Chat GPT Mastery and The Chat GPT Handbook" offers a captivating exploration of AI-driven conversational agents, empowering readers to grasp the intricacies of the technology and envision its transformative possibilities for practical application.
You can find more interesting books on chatGPT and Ai on amazon. Here's my link to the best ChatGPT and Ai books on amazon: https://amzn.to/43GLTUx
An immersive workshop at General Assembly, SF. I typically teach this workshop at General Assembly, San Francisco. To see a list of my upcoming classes, visit https://generalassemb.ly/instructors/seth-familian/4813
I also teach this workshop as a private lunch-and-learn or half-day immersive session for corporate clients. To learn more about pricing and availability, please contact me at http://familian1.com
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
This article is all about what AI trends will emerge in the field of creative operations in 2024. All the marketers and brand builders should be aware of these trends for their further use and save themselves some time!
ChatGPT What It Is and How Writers Can Use It.pdfAdsy
Have you heard of ChatGPT? This smart model seems to change the way we work in the content marketing field.
We've investigated what this AI tool can do regarding content writing and ready to share the results.
Check this presentation to learn how this chatbot can assist you with content creation.
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
Generative AI: Past, Present, and Future – A Practitioner's PerspectiveHuahai Yang
Generative AI: Past, Present, and Future – A Practitioner's Perspective
As the academic realm grapples with the profound implications of generative AI
and related applications like ChatGPT, I will present a grounded view from my
experience as a practitioner. Starting with the origins of neural networks in
the fields of logic, psychology, and computer science, I trace its history and
align it within the wider context of the pursuit of artificial intelligence.
This perspective will also draw parallels with historical developments in
psychology. Against this backdrop, I chart a proposed trajectory for the future.
Finally, I provide actionable insights for both academics and enterprising
individuals in the field.
TEDx Manchester: AI & The Future of WorkVolker Hirsch
TEDx Manchester talk on artificial intelligence (AI) and how the ascent of AI and robotics impacts our future work environments.
The video of the talk is now also available here: https://youtu.be/dRw4d2Si8LA
Top 5 Deep Learning and AI Stories - October 6, 2017NVIDIA
Read this week's top 5 news updates in deep learning and AI: Gartner predicts top 10 strategic technology trends for 2018; Oracle adds GPU Accelerated Computing to Oracle Cloud Infrastructure; chemistry and physics Nobel Prizes are awarded to teams supported by GPUs; MIT uses deep learning to help guide decisions in ICU; and portfolio management firms are using AI to seek alpha.
If you are like many people, even the thought of delivering a speech in front of an audience will get your palms sweating. The fear of public speaking ranks high among the most common phobias, and for good reason: most of us approach the situation with the wrong mindset, which in turn makes us live out our worst fears in a public forum.
As Michael Parker notes in IT’S NOT WHAT YOU SAY: How to Sell Your Message When It Matters Most (A TarcherPerigee paperback; on sale January 2016), our fixation on the content of our words – and not the presentation of ourselves – is what brings us down. Once the Vice-Chairman of London’s Saatchi & Saatchi, and one of the world’s most experienced advertising pitch men, having made more than 1,000 pitches in his successful career, Parker has learned first-hand that an effective presentation, a job interview, or even a speech at a wedding hinges on our ability to portray ourselves as passionate, relatable, and collected. But, if we are focused on what we say, and not how we act, we will fail to persuade our audience.
Applied in the boardroom, at the pulpit, or even in conversation, these tenets will help you present better in any situation.
This session was presented at the AWS Community Day in Munich (September 2023). It's for builders that heard the buzz about Generative AI but can’t quite grok it yet. Useful if you are eager to connect the dots on the Generative AI terminology and get a fast start for you to explore further and navigate the space. This session is largely product agnostic and meant to give you the fundamentals to get started.
A brief introduction to generative models in general is given, followed by a succinct discussion about text generation models and the "Transformer" architecture. Finally, the focus is set on a non-technical discussion about ChatGPT with a selection of recent news articles.
The SlideShare 101 is a quick start guide if you want to walk through the main features that the platform offers. This will keep getting updated as new features are launched.
The SlideShare 101 replaces the earlier "SlideShare Quick Tour".
Lee Rainie, director of internet and technology research at Pew Research Center, presented these findings at the International Monetary Fund/World Bank’s Youth Dialogue and its program, “A World Without Work?” The findings tie to several pieces of research at the Center, including reports on the state of American jobs, automation in everyday life, and the future of jobs training programs.
Making Great User Experiences, Pittsburgh Scrum MeetUp, Oct 17, 2017Carol Smith
Everything is designed, yet some interactions are much better than others. What does it take to make a great experience? What are the areas that UX specialists focus on? How do skills in cognitive psycology, computer science and design come together? Carol introduces basic concepts in user experience design that you can use to improve the user's expeirence and/or clearly communicate with designers.
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...Edureka!
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This tutorial on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful. This tutorial covers the following topics:
1. AI as a threat
2. What is AI?
3. History of AI
4. Machine Learning & Deep Learning examples
5. Dependency on AI
6.Applications of AI
7. AI Course at Edureka - https://goo.gl/VWNeAu
For more information, please write back to us at sales@edureka.co
Call us at IN: 9606058406 / US: 18338555775
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
2017 holiday survey: An annual analysis of the peak shopping seasonDeloitte United States
Holiday retail spending is bucking trends this season with only one-third of holiday budgets going toward gifts. Online spending is expected to exceed in-store for the first time. In addition to gifts for others this year, spending on experiences and self-gifting increased. Explore more consumer spending trends in our 32nd annual holiday survey. For more: http://deloi.tt/2yH1VAn.
Thanks to a partnership with Jumpshot, Moz is presenting data about Google's search growth, click distribution, and more via a panel of millions of US web users.
Taming the ever-evolving Compliance Beast : Lessons learnt at LinkedIn [Strat...Shirshanka Das
Just when you think you have your Kafka and Hadoop clusters set up and humming and you’re well on your path to democratizing data, you realize that you now have a very different set of challenges to solve. You want to provide unfettered access to data to your data scientists, but at the same time, you need to preserve the privacy of your members, who have entrusted you with their data.
Shirshanka Das and Tushar Shanbhag outline the path LinkedIn has taken to protect member privacy in its scalable distributed data ecosystem built around Kafka and Hadoop.
They also discuss three foundational building blocks for scalable data management that can meet data compliance regulations: a centralized metadata system, a standardized data lifecycle management platform, and a unified data access layer. Some of these systems are open source and can be of use to companies that are in a similar situation. Along the way, they also look to the future—specifically, to the General Data Protection Regulation, which comes into effect in 2018—and outline LinkedIn’s plans for addressing those requirements.
But technology is just part of the solution. Shirshanka and Tushar also share the culture and process change they’ve seen happen at the company and the lessons they’ve learned about sustainable process and governance.
Business Process Modeling in Goldman Sachs @ JJUG CCC Fall 2017tty fky
This is a presentation to talk about business process modeling in Goldman Sachs which presented in Japan Java User Group Cross Community Conference Fall 2017.
UX in the Age of AI: Where Does Design Fit In? Fluxible 2017Carol Smith
Cognitive computing and machine learning are not new concepts, but they are new to most UX’ers. Carol Smith addresses questions about artificial intelligence (AI) such as:
- What are these terms and technologies and how do they work?
- How can we take advantage of these powerful systems to help our users?
- Should I be concerned that computers will take over the world soon? Spoiler: It is extremely unlikely.
Once this baseline understanding is established, we’ll look at examples of AI in use and discuss the relevancy of design work in the age of AI. Additionally, we’ll explore the ethical challenges inherent with the use of AI from the user’s perspective, specifically regarding trust and transparency.
This was presented at Fluxible 2017 in Kitchener-Waterloo, Ontario, Canada on 23 Sept 2017.
Big Data Tutorial For Beginners | What Is Big Data | Big Data Tutorial | Hado...Edureka!
This Edureka Big Data tutorial helps you to understand Big Data in detail. This tutorial will be discussing about evolution of Big Data, factors associated with Big Data, different opportunities in Big Data. Further it will discuss about problems associated with Big Data and how Hadoop emerged as a solution. Below are the topics covered in this tutorial:
1) Evolution of Data
2) What is Big Data?
3) Big Data as an Opportunity
4) Problems in Encasing Big Data Opportunity
5) Hadoop as a Solution
6) Hadoop Ecosystem
7) Edureka Big Data & Hadoop Training
Designing AI for Humanity at dmi:Design Leadership Conference in BostonCarol Smith
As design leaders we must enable our teams with skills and knowledge to take on the new and exciting opportunities that building powerful AI systems bring. Dynamic systems require transparency regarding data provenance, bias, training methods, and more, to gain user’s trust. Carol will cover these topics and challenge us as design leaders, to represent our fellow humans by provoking conversations regarding critical ethical and safety needs.
Presented at dmi:Design Leadership Conference in Boston in October 2018.
IA in the Age of AI: Embracing Abstraction and Change at IA Summit 2018Carol Smith
This session focuses on the questions we need to ask to create good, ethical experiences for our users.
Information Architects must push to…
- Keep people at the center of our work.
- Lead with our user’s goals.
- Ease of use, usability, findability, effectiveness, efficiency…
We must work to mature organizations approach
- Push back on “technology first” ideas.
- Lead on ethics - for our users, humanity.
UX in the Age of AI: Leading with Design UXPA2018Carol Smith
How can designers improve trust of cognitive systems? What can we do to make these systems transparent? What information needs to be transparent? The biggest challenges inherent with AI will be discussed, specifically the ethical conflicts and the implications for your work, along with the basics of these concepts so that you can strive for making great AI systems.
AI for IA's: Machine Learning Demystified at IA Summit 2017 - IAS17Carol Smith
What is machine learning? Is IA relevant in the age of AI? How can I take advantage of cognitive computing? Learn the basics of these concepts and the implications for your work in this presentation. Carol Smith provides examples of machine learning use and will discuss the challenges inherent in in AI.
Data Science for Beginner by Chetan Khatri and Deptt. of Computer Science, Ka...Chetan Khatri
What is Data Science?
What is Machine Learning, Deep Learning, and AI?
Motivation
Philosophy of Artificial Intelligence (AI)
Role of AI in Daily life
Use cases/Applications
Tools & Technologies
Challenges: Bias, Fake Content, Digital Psychography, Security
Detect Fake Content with “AI”
Learning Path
Career Path
Designing Trustable AI Experiences at World Usability Day in ClevelandCarol Smith
How can designers improve trust of cognitive systems? What can we do to make these systems transparent? What information needs to be transparent? The biggest challenges inherent with AI will be discussed, specifically the ethical conflicts and the implications for your work, along with the basics of these concepts so that you can distinguish between simply smart systems and AI.
Presented at the World World Usability Day 2018 celebration in Cleveland, Ohio.
Dynamic UXR: Ethical Responsibilities and AI. Carol Smith at Strive in TorontoCarol Smith
Artificially intelligent (AI) technologies are exciting and with them come a lot of new user experience research (UXR) responsibilities. How do we understand and clarify our users need for transparency, control, and access (and more) when the system is constantly changing?
These dynamic systems are already part of our everyday lives and quickly becoming part of our jobs. What are our responsibilities with regard to ethics and protecting users from bias?
Presented at Strive, June 7, 2019 in Toronto, Ontario, Canada. Strive is the 2019 UX Research Conference presented by the UX Research Collective Inc.
Tallk given at #SXSW2019 in the Intelligent Future track as part of the Interactive Festival. We explain 3 frameworks for MachineEthics and how they affect the supervised and unsupervised methods, and the data engineering discipline.
On March 26, 2015 Steve Omohundro gave a talk in the IBM Research 2015 Distinguished Speaker Series at the Accelerated Discovery Lab, IBM Research, Almaden.
Google, IBM, Microsoft, Apple, Facebook, Baidu, Foxconn, and others have recently made multi-billion dollar investments in artificial intelligence and robotics. Some of these investments are aimed at increasing productivity and enhancing coordination and cooperation. Others are aimed at creating strategic gains in competitive interactions. This is creating “arms races” in high-frequency trading, cyber warfare, drone warfare, stealth technology, surveillance systems, and missile warfare. Recently, Stephen Hawking, Elon Musk, and others have issued strong cautionary statements about the safety of intelligent technologies. We describe the potentially antisocial “rational drives” of self-preservation, resource acquisition, replication, and self-improvement that uncontrolled autonomous systems naturally exhibit. We describe the “Safe-AI Scaffolding Strategy” for developing these systems with a high confidence of safety based on the insight that even superintelligences are constrained by the laws of physics, mathematical proof, and cryptographic complexity. “Smart contracts” are a promising decentralized cryptographic technology used in Ethereum and other second-generation cryptocurrencies. They can express economic, legal, and political rules and will be a key component in governing autonomous technologies. If we are able to meet the challenges, AI and robotics have the potential to dramatically improve every aspect of human life.
UX for Artificial Intelligence / UXcamp Europe '17 / Berlin / Jan KorsankeJan Korsanke
/ My talk from the UXcamp Europe in Berlin. Please enjoy and feel free and don't hesitate to contact me if you have questions or want to talk about UX and AI
What is artificial intelligence, how do we create collaboration and what’s gonna happen in the future?
Artificial Intelligence in testing - A STeP-IN Evening Talk Session Speech by...Kalilur Rahman
AI is the new ELECTRICITY - said Andrew Ng. There are two sides of the coin. There are a lot of nay-sayers for AI. At the end of the day, it will be Augmented Intelligence, Adaptive Intelligence, Automated Intelligence that will propel human intelligence forward - more than anything else. It will be a great time ahead. Whether it would be an "Eye(AI) Wash" as skeptics say or an "I wish" from them for starting late on the journey, only time will tell. It is a matter of when and how long, instead of an If. #ArtificialIntelligence #IntelligentTesting #QCoE #NextGenTesting #QualityFocusedDelivery #DigitalInnovation #ITIndustry #NewAgeIT #InnovativeTesting#AIFication #Automation #DigitalEconomy #Singularity #Transcendence #Futurism
Similar to AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017 (20)
Navigating the Complexity of Trust at UXPA Boston 2021Carol Smith
Trust is complex and transient. Context, safety, privacy, respect, and many other considerations are built into each individuals’ concept of trust. How can we examine this complexity in a way that supports the work of making digital experiences? What research supports this work and how can we use practices of responsible development to make systems that earn appropriate levels of trust? What is an appropriate level of trust for emerging technologies such as machine learning systems? This talk will examine trust and how UX practitioners can define and measure it.
Carol J. Smith
September 24, 2021
Carnegie Mellon University, SEI
Twitter: @carologic @sei_etc
Implementing Ethics: Developing Trustworthy AI PyCon 2020Carol Smith
Ethics discussions abound, but translating “do no harm” into our work is frustrating at best, and obfuscatory at worst. We can agree that keeping humans safe and in control is important, but implementing ethics is intimidating work.
Learn how to wield your preferred technology ethics code to make an AI system that is accountable, de-risked, respectful, secure, honest and usable. The presenter will introduce the topic of ethics and then step through a user experience (UX) framework to guide AI development teams successfully through this process.
Presented virtually for PyCon 2020 which was to be held in Pittsburgh, PA, but was reorganized online due to Covid-19.
Designing Trustworthy AI: A User Experience Framework at RSA 2020Carol Smith
Artificial intelligence (AI) holds great promise to empower us with knowledge and scaled effectiveness. To harness the power of AI systems, we can—and must—ensure that we keep humans safe and in control. This session will introduce a new user experience (UX) framework to guide the creation of AI systems that are accountable, de-risked, respectful, secure, honest and usable.
Presented at the RSA Conference 2020 in San Francisco, CA on February 28, 2020.
IA is Elemental: People are Fundamental at World IA Day 2020 PittsburghCarol Smith
Information architects work in a system with ourselves at the center. We are fundamental to making great experiences and as such, we must care for ourselves in order to best represent the people using the systems we are creating. Prioritizing the needs of users comes next, and with that protecting them by caring about diversity, inclusion and ethics. Finally, collaboration with colleagues and communities that influence our work can be done by educating them about IA work.
Gearing up for Ethnography, Michigan State, World Usability Day 2019Carol Smith
Prepping for UX research can be intimidating, and there is never enough time or resources. Carol will share her personal experiences in the field, both good and bad. She has learned the hard way, doing observations in moving vehicles, coal mines, hospitals, schools, homes, and offices. She will also share interesting anecdotes from colleagues and review both ethical and behavioral standards for researchers. The key is to prepare well, learn to be flexible and to adapt to the situation.
Presented at World Usability Day 2019 at Michigan State University with Michigan UXPA
Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Developm...Carol Smith
"Designing Trustworthy AI: A Human-Machine Teaming Framework to Guide Development" is a paper presented at the AAAI 2019 Fall Symposium on AI in Government and the Public Sector, (sponsored by the Association for the Advancement of Artificial Intelligence) in Washington, DC, November 7–9, 2019.
Artificial intelligence (AI) holds great promise to empower us with knowledge and augment our effectiveness. We can -- and must -- ensure that we keep humans safe and in control, particularly with regard to government and public sector applications that affect broad populations. How can AI development teams harness the power of AI systems and design them to be valuable to humans? Diverse teams are needed to build trustworthy artificial intelligent systems, and those teams need to coalesce around a shared set of ethics. There are many discussions in the AI field about ethics and trust, but there are few frameworks available for people to use as guidance when creating these systems. The Human-Machine Teaming (HMT) Framework for Designing Ethical AI Experiences described in this paper, when used with a set of technical ethics, will guide AI development teams to create AI systems that are accountable, de-risked, respectful, secure, honest, and usable. To support the team's efforts, activities to understand people's needs and concerns will be introduced along with the themes to support the team's efforts. For example, usability testing can help determine if the audience understands how the AI system works and complies with the HMT Framework. The HMT Framework is based on reviews of existing ethical codes and best practices in human-computer interaction and software development. Human-machine teams are strongest when human users can trust AI systems to behave as expected, safely, securely, and understandably. Using the HMT Framework to design trustworthy AI systems will provide support to teams in identifying potential issues ahead of time and making great experiences for humans.
On the Road: Best Practices for Autonomous Experiences at WUC19Carol Smith
Presented at the World Usability Congress in Graz, Austria on October 16, 2019.
Self-driving vehicles are still a rarity in most cities, but as they become more common and as more and more humans interact with them we need to consider the wide variety of human experiences that occur within and along-side these vehicles. What information does the driver need when the vehicle is getting started vs. on it’s way? What information engenders trust and how much is too much? What changes due to experience level and comfort? How do we account for reliable easy commutes and people who use vehicles differently each day? How do these vehicles interact with other drivers, pedestrians, bicyclists and general society?
Designing More Ethical and Unbiased Experiences - AbstractionsCarol Smith
Presented at Abstractions, Pittsburgh, PA
Karen Bachmann and Carol Smith, August 23, 2019
Humans are biased, and sadly, we are not always able to filter our deeply ingrained biases. UX designers and researchers have long understood this, but as we watch major technology companies make significant mistakes with regard to ethics and bias, the cost of not accounting for bias and ethics is becoming more evident and widely known.
Even knowing what pitfalls exist, we still miss opportunities for doing good as a result of our own human biases obscuring our vision. We need tools to explore and challenge our biases in a productive way to deliver better outcomes. We need a set of shared values within teams and, ultimately, across the industry to promote our common responsibility to deliver the greatest benefit while causing the least amount of harm. How can we work together to intensify the focus on ethical design? In this session, we’ll share ways you can empower yourself and your teams to do the right thing for people.
Prototyping for Beginners - Pittsburgh Inclusive Innovation Summit 2019Carol Smith
To design for inclusion we often must try out different ideas. In this interactive session you'll learn about all types of prototyping and how to get feedback on your ideas from your users. This session will briefly introduce a variety of prototypes and materials and evaluation methods for early learning.
Participants will have time to build a quick prototype and practice getting feedback on it. We'll cover designing for accessibility and inclusion even at the prototype stage. You'll have the information you need to launch your ideas as early as possible to learn from the experience and improve more quickly.
Presented at the Pittsburgh Inclusive Innovation Summit March 30, 2019 held at Point Park University.
Navigating challenges in IA people management at IAC19Carol Smith
Whether you are building a team, managing experience practitioners or navigating career changers, managing a team of creative and analytical IA practitioners can be challenging. The welcome change towards diverse and inclusive hiring practices can add even more challenges.
Learn how an experienced manager navigated through painful challenges and wonderful successes while managing large and small design departments in organizations with employees around the world. Presented at IA Conference 2019 in Orlando Florida by Carol Smith.
What can DesignOps do for you? by Carol Smith at TLMUX in MontrealCarol Smith
You have probably seen the terms DesignOps and/or ResearchOps float by in your social media queue. These teams make designing (and researching) at scale beautifully efficient and successful. Carol steps through how these teams work, the types of activities they perform, situations they are helpful for, and ways you can leverage these types of programs in your organization. Carol will share examples from her experiences and stories from other organizations that are using Design Ops to do effective design at scale.
Presented at Tout le monde UX in Montreal, Quebec, Canada on February 28, 2019. http://toutlemonde-ux.com/
Gearing up for Ethnography at Midwest UX 2018Carol Smith
We are all low on time and resources, and our UX research must occur wherever and whenever possible. Carol will share her personal experiences in the field, both good and bad. She has learned the hard way doing observations in moving vehicles, coal mines, hospitals, schools, homes, and offices. She will also share interesting anecdotes from colleagues and review both ethical and behavioral standards for researchers. The key is to prepare well, learn to be flexible and to adapt to the situation.
Presented at Midwest UX 2018 held in Chicago, IL.
Product Design in Agile Environments: Making it Work at ProductCamp PittsburghCarol Smith
Can Product Design work in Agile environments? Yes! Balancing people and process can be complicated, and in this talk, Carol will provide you guidance to make it work. You can inform good design with strong user experience (UX) research and support continuous releases in a fast-paced environment. We'll look at ways to achieve a flexible approach that meets the needs of these seemingly conflicting efforts. Participants will come away with the tools they need to successfully integrate design thinking methods, in an Agile environment, one sprint at a time.
Selected for presentation at ProductCamp Pittsburgh in September 2018 at Carnegie Mellon University (CMU).
Demystifying Artificial Intelligence: Solving Difficult Problems at ProductCa...Carol Smith
Artificially intelligent systems are becoming part of our everyday lives. This session will answer your questions about artificial intelligence, machine learning, and the ethical conflicts and the implications inherent in these technologies. Topics covered will include: discussions of bias in data; how to focus on the user experience; what is necessary to build a good cognitive computing systems; data needs; levels of accuracy; making safe and secure AI's; and discussions on ethics in AI and our role in leading those conversations. Carol will propose simple models for thinking about these systems and provide time for questions. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
Selected by the audience to be presented at ProductCamp Pittsburgh in September 2018
Making Great User Experiences at Cleveland C# .Net Meetup July 27 2017Carol Smith
Everything is designed, yet some interactions are much better than others. What does it take to make a great experience? Carol introduces basic concepts in user experience design that you can use to improve your work. You'll learn the basics of: cognitive psychology; accessibility; design thinking; interaction design; and visual design. These concepts work together to make great user experiences and Carol will help you to understand how this work can be integrated into your existing software development process.
Faster Usability Testing in an Agile World - Agile UX Virtual Summit 2017 by ...Carol Smith
Carol Smith presented "Faster Usability Testing in an Agile World" via webinar during the Agile UX Virtual Summit 2017 by UXPin.
This presentation covers:
- Brief intro to how the IBM Watson Design team runs continuous usability tests and integrates the UX team
- How design work fits into the Agile process via dual track development
- When to run moderated, un-moderated, remote, and in-person studies
- How to effectively communicate UX findings and recommendations
Making Faster UX in an Agile World - HOAPitt 2017Carol Smith
Carol Smith presented this topic at the Heart of Agile conference in Pittsburgh, PA in April 2017.
UX Slows Agile down! Do you hear that a lot? Carol shared best practices and how to dispel this myth in this session. The presentation included discussions of how to successfully embedding the UX team and the pros and cons of Agile projects. Carol will introduce methods for the UX team to break down and include their work in the backlog so it can get prioritized. Finally, Carol will discuss several successful ways to integrate usability testing across iterations.
Design vs.Cancer: Patients Win UXDC 2017Carol Smith
This 10 minute talk concluded with a panel with two other presenters.
How do you make an impact on people’s lives in three weeks? I was selected to work on a pro-bono project to help health providers in Ethiopia, Nigeria and Uganda to increase the availability and lower the cost of cancer treatments. We were challenged to create a fully functioning software solution that would meet the needs of health care workers in forecasting the need for chemotherapy during the 3-week timeline. I’ll share the experience of working on a fast-paced project with a cross-functional team in this session.
We worked closely with the American Cancer Society, Clinton Health Access Initiative, NCCN and oncologists to create the ChemoQuant solution.
DIY Usability Testing for Business Analysts (BA)Carol Smith
This presentation provides techniques for business analysts (BA's) to begin conducting their own usability tests. This was presented to the Pittsburgh IIBA Chapter on January 9, 2017.
Mature Products: The Cycle of UX Reinvention UXPA 2016Carol Smith
As products mature, the user’s needs change over time and so must the way we work. This presentation discusses various experiences working on mature software and complex Web applications and a set of best practices.
Taurus Zodiac Sign_ Personality Traits and Sign Dates.pptxmy Pandit
Explore the world of the Taurus zodiac sign. Learn about their stability, determination, and appreciation for beauty. Discover how Taureans' grounded nature and hardworking mindset define their unique personality.
Cracking the Workplace Discipline Code Main.pptxWorkforce Group
Cultivating and maintaining discipline within teams is a critical differentiator for successful organisations.
Forward-thinking leaders and business managers understand the impact that discipline has on organisational success. A disciplined workforce operates with clarity, focus, and a shared understanding of expectations, ultimately driving better results, optimising productivity, and facilitating seamless collaboration.
Although discipline is not a one-size-fits-all approach, it can help create a work environment that encourages personal growth and accountability rather than solely relying on punitive measures.
In this deck, you will learn the significance of workplace discipline for organisational success. You’ll also learn
• Four (4) workplace discipline methods you should consider
• The best and most practical approach to implementing workplace discipline.
• Three (3) key tips to maintain a disciplined workplace.
Unveiling the Secrets How Does Generative AI Work.pdfSam H
At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
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The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
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Memorandum Of Association Constitution of Company.pptseri bangash
www.seribangash.com
A Memorandum of Association (MOA) is a legal document that outlines the fundamental principles and objectives upon which a company operates. It serves as the company's charter or constitution and defines the scope of its activities. Here's a detailed note on the MOA:
Contents of Memorandum of Association:
Name Clause: This clause states the name of the company, which should end with words like "Limited" or "Ltd." for a public limited company and "Private Limited" or "Pvt. Ltd." for a private limited company.
https://seribangash.com/article-of-association-is-legal-doc-of-company/
Registered Office Clause: It specifies the location where the company's registered office is situated. This office is where all official communications and notices are sent.
Objective Clause: This clause delineates the main objectives for which the company is formed. It's important to define these objectives clearly, as the company cannot undertake activities beyond those mentioned in this clause.
www.seribangash.com
Liability Clause: It outlines the extent of liability of the company's members. In the case of companies limited by shares, the liability of members is limited to the amount unpaid on their shares. For companies limited by guarantee, members' liability is limited to the amount they undertake to contribute if the company is wound up.
https://seribangash.com/promotors-is-person-conceived-formation-company/
Capital Clause: This clause specifies the authorized capital of the company, i.e., the maximum amount of share capital the company is authorized to issue. It also mentions the division of this capital into shares and their respective nominal value.
Association Clause: It simply states that the subscribers wish to form a company and agree to become members of it, in accordance with the terms of the MOA.
Importance of Memorandum of Association:
Legal Requirement: The MOA is a legal requirement for the formation of a company. It must be filed with the Registrar of Companies during the incorporation process.
Constitutional Document: It serves as the company's constitutional document, defining its scope, powers, and limitations.
Protection of Members: It protects the interests of the company's members by clearly defining the objectives and limiting their liability.
External Communication: It provides clarity to external parties, such as investors, creditors, and regulatory authorities, regarding the company's objectives and powers.
https://seribangash.com/difference-public-and-private-company-law/
Binding Authority: The company and its members are bound by the provisions of the MOA. Any action taken beyond its scope may be considered ultra vires (beyond the powers) of the company and therefore void.
Amendment of MOA:
While the MOA lays down the company's fundamental principles, it is not entirely immutable. It can be amended, but only under specific circumstances and in compliance with legal procedures. Amendments typically require shareholder
Memorandum Of Association Constitution of Company.ppt
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
1. AI and Machine Learning Demystified
Carol Smith @carologic
Midwest UX 2017, Cincinnati, Ohio
October 13, 2017
2. AI is when Machines
– Exhibit intelligence
– Perceive their environment
– Take actions/make decision to
maximize chance of success at a goal
NAO’s New Job as “Connie” the concierge at Hilton Hotels
https://developer.softbankrobotics.com/us-en/showcase/nao-ibm-create-new-hilton-concierge
3. AI and ML Demystified / @carologic / MWUX2017
In the extreme…
Google Search for “movies with AI” Copyrights as labeled.
4. “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
http://www.wired.co.uk/article/elon-musk-
artificial-intelligence-scaremongering
5. Remember: “We can unplug the machines!”
Grady Booch, Scientist, philosopher, IBM’er https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence
6. AI and ML Demystified / @carologic / MWUX2017
Cognitive computers are
• Made with algorithms
• Knowledgeable ONLY about what taught
• Control ONLY what we give them control of
• Aware of nuances and can continue to learn more
7. AI and ML Demystified / @carologic / MWUX2017
Cognitive computers (algorithms) can…
• Do very boring work for you
• Often make better, more consistent decisions than humans
• Be efficient, won’t get tired
Q&A: Should artificial intelligence be legally required to explain itself?
By Matthew Hutson, May. 31, 2017. Interview with Sandra Wachter, data ethics researcher
at Univ. of Oxford and Alan Turing Institute.
http://www.sciencemag.org/news/2017/05/qa-should-artificial-intelligence-be-legally-required-explain-itself
8. AI and ML Demystified / @carologic / MWUX2017
Exhibit intelligence
- transfer human concepts and relationships
Photo by sunlightfoundation
https://www.flickr.com/photos/sunlightfoundation/2385174105
9. AI and ML Demystified / @carologic / MWUX2017
Dependent on Experts
• Subject Matter Experts (SME’s) Availability
– Lawyers
– Machinists
– Insurance adjusters
– Physicians
• Usually not experienced in machine learning
– Need close collaboration with those making algorithms
10. AI and ML Demystified / @carologic / MWUX2017
Number Five “Needs Input”
Short Circuit (1986 film) - Ally Sheedy and Number Five
https://en.wikipedia.org/wiki/Short_Circuit_(1986_film)
11. AI and ML Demystified / @carologic / MWUX2017
Content is annotated by experts
Image created by Angela Swindell,
Visual Designer, Watson Knowledge Studio
12. AI and ML Demystified / @carologic / MWUX2017
AI is taxonomies and ontologies coming to life
(NOT like humans learn)
Photo: https://commons.wikimedia.org/wiki/File:Baby_Boy_Oliver.jpg
14. Only as good as data
and time spent improving it
Biased based on what it taught
15. AI and ML Demystified / @carologic / MWUX2017
Creating an AI requires
• Algorithms
• Documents
• Ground truth (annotation)
• Teaching
• Iteration
• Repeat
16. AI and ML Demystified / @carologic / MWUX2017
Supervised (by a human) Machine Learning
Watson Knowledge Studio
https://www.ibm.com/us-en/marketplace/supervised-machine-learning
17. AI and ML Demystified / @carologic / MWUX2017
Knowledge and Accuracy
• How important is
accuracy?
• Consider a reverse card
sorting exercise
Image: Gerry Gaffney. (2000) What is Card Sorting? Usability Techniques Series,
Information & Design. http://www.infodesign.com.au/usabilityresources/design/cardsorting.asp
18. AI and ML Demystified / @carologic / MWUX2017
Across industries – priority of accuracy varies
Higher Priority
90-99%+
Lower Priority
60-89% accuracy is acceptable
19. AI and ML Demystified / @carologic / MWUX2017
Goal is saving time
Machine learning creates
more highly trained specialists
Not an “all knowing” being
20. AI and ML Demystified / @carologic / MWUX2017
Cancer Burden in Sub-Saharan Africa
Risk of getting cancer
and
Risk of Dying
~same
The Cancer Atlas http://canceratlas.cancer.org/the-burden/
21. AI and ML Demystified / @carologic / MWUX2017
What if we could reduce the burden?
• Bring taxonomies and ontologies to life
• Broaden access to evidence based medicine
• More informed treatment decisions
22. AI and ML Demystified / @carologic / MWUX2017
AI actions for success
• Example: Healthcare
– AI analyzes data (treatment options, similar patients)
– Goal: Provide quick, evidence based options
– Physician selects treatment for patients based on situation
• AI success is helping physician (not replacing)
23. AI and ML Demystified / @carologic / MWUX2017
Examples
of AI and Cognitive
Computing
24. AI and ML Demystified / @carologic / MWUX2017
Consider for each example
• What intelligence does the system need?
• What is the AI perceiving in their environment?
• What actions are taken to maximize chance
of success at goal?
25. AI and ML Demystified / @carologic / MWUX2017
Strategic Games
• 1997 Chess, IBM
• 2016 Go, Google
• Intelligence?
• Perception?
• Action/Decision?
Floor goban, 2007, By Goban1
https://commons.wikimedia.org/wiki/File:FloorGoban.JPG
26. AI and ML Demystified / @carologic / MWUX2017
Understanding human speech
• Watson developed for quiz show Jeopardy!
• Won against champions in 2011 for $1 million
Video: “IBM's Watson Supercomputer Destroys Humans in Jeopardy!
Engadget” https://www.youtube.com/watch?v=WFR3lOm_xhE
Watson definition: https://en.wikipedia.org/wiki/Watson_(computer)
27. AI and ML Demystified / @carologic / MWUX2017
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
28. AI and ML Demystified / @carologic / MWUX2017
Image Recognition – Google Photos
Carol’s search for “cats” on her Google Photos account.
29. AI and ML Demystified / @carologic / MWUX2017
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
30. AI and ML Demystified / @carologic / MWUX2017
Analyzing Text: Personality of @carologic (not quite)
Personality Insights applied to @Carologic on Twitter
IBM Watson Developer Cloud: https://personality-insights-livedemo.mybluemix.net/
31. AI and ML Demystified / @carologic / MWUX2017
Automating Repetitive Work
• Automated
Radiologist
highlights
possible
issues
• Radiologist
confirms
IBM’s Automated Radiologist Can Read Images and Medical Records,
MIT Technology Review
https://www.technologyreview.com/s/600706/ibms-automated-radiologist-can-read-images-and-medical-records/
32. AI and ML Demystified / @carologic / MWUX2017
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
Seeing is preventing.
https://twitter.com/IBMWatson/status/844545761740292096
33. AI and ML Demystified / @carologic / MWUX2017
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
34. AI and ML Demystified / @carologic / MWUX2017
Chatbots – not really AI, yet
• Mapping Q & A
–Expected language
–Appropriate automated
responses
–When to escalate
to a human
Images: 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
35. AI and ML Demystified / @carologic / MWUX2017
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
36. AI and ML Demystified / @carologic / MWUX2017
Ethics in Design for AI
37. 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
38. AI and ML Demystified / @carologic / MWUX2017
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?
Inspired by Grady Booch, Scientist, philosopher, IBM’er
https://www.ted.com/talks/grady_booch_don_t_fear_superintelligence
40. AI and ML Demystified / @carologic / MWUX2017
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/
41. AI and ML Demystified / @carologic / MWUX2017
Transparency
• How was AI taught?
• 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/
42. AI and ML Demystified / @carologic / MWUX2017
Skills
• Built with people in the industry
• Human workers trained
how to use 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/
43. AI and ML Demystified / @carologic / MWUX2017
Regulations
• Almost everyone agrees they are necessary
• Who will create regulations?
• Enforce?
44. “We often have
no way of knowing
when and why people
are biased.”
- Sandra Wachter
Q&A: Should artificial intelligence be legally required to explain itself?
By Matthew Hutson, May. 31, 2017. Interview with Sandra Wachter, data ethics researcher at Univ. of Oxford and Alan Turing Institute.
http://www.sciencemag.org/news/2017/05/qa-should-artificial-intelligence-be-legally-required-explain-itself
45. AI and ML Demystified / @carologic / MWUX2017
The EU General Data Protection Regulation (GDPR)
• Framework for transparency rights
and safeguards against automated decision-making
• Right to contest a completely automated decision
if it has legal or other significant effects on them
Q&A: Should artificial intelligence be legally required to explain itself?
By Matthew Hutson, May. 31, 2017. Interview with Sandra Wachter, data ethics researcher at Univ. of Oxford and Alan Turing Institute.
http://www.sciencemag.org/news/2017/05/qa-should-artificial-intelligence-be-legally-required-explain-itself
46. AI and ML Demystified / @carologic / MWUX2017
Regulations take forever
• Humans and algorithms aren’t without bias
• ML has potential to make less biased decisions
• Algorithms trained with biased data
pick up and replicate biases, and develop new ones
Q&A: Should artificial intelligence be legally required to explain itself?
By Matthew Hutson, May. 31, 2017. Interview with Sandra Wachter, data ethics researcher at Univ. of Oxford and Alan Turing Institute.
http://www.sciencemag.org/news/2017/05/qa-should-artificial-intelligence-be-legally-required-explain-itself
47. AI and ML Demystified / @carologic / MWUX2017
How do we evolve the practice of UX
to deal with the new issues
these technologies bring
and the new information that is created?
48. AI and ML Demystified / @carologic / MWUX2017
Take Responsibility
• Create a code of conduct
– What do you value?
– What lines won’t your AI cross?
• Make your AI transparent
– How was it made and what does it do?
– How do you reduce bias?
• Keep humans in control
49. AI and ML Demystified / @carologic / MWUX2017
Don’t fear AI - Explore AI
Try the tools
Pair with others
IBM Watson Developer Tools (free trials):
https://console.ng.bluemix.net/catalog/?category=watson
50. AI and ML Demystified / @carologic / MWUX2017
Go forth and create ethical AI’s
• Purpose: Intelligence and actions to maximize success
• Transparency: Code of Conduct
• Skills: How will humans learn to use it?
51. AI and ML Demystified / @carologic / MWUX2017
Contact Carol
LinkedIn: https://www.linkedin.com/in/caroljsmith
Twitter - @Carologic: https://twitter.com/carologic
Slides on Slideshare: https://www.slideshare.net/carologic
52. AI and ML Demystified / @carologic / MWUX2017
Additional Information
and Resources
53. AI and ML Demystified / @carologic / MWUX2017
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/
54. AI and ML Demystified / @carologic / MWUX2017
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
55. AI and ML Demystified / @carologic / MWUX2017
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
56. AI and ML Demystified / @carologic / MWUX2017
Tone Analyzer - Watson
IBM Watson Developer Cloud, Tone Analyzer
https://tone-analyzer-demo.mybluemix.net/
57. AI and ML Demystified / @carologic / MWUX2017
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/
58. AI and ML Demystified / @carologic / MWUX2017
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
59. AI and ML Demystified / @carologic / MWUX2017
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
60. AI and ML Demystified / @carologic / MWUX2017
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/
61. AI and ML Demystified / @carologic / MWUX2017
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
62. AI and ML Demystified / @carologic / MWUX2017
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
63. AI and ML Demystified / @carologic / MWUX2017
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
64. AI and ML Demystified / @carologic / MWUX2017
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
65. AI and ML Demystified / @carologic / MWUX2017
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
Exhibit intelligence
Perceive their environment
Take actions to maximize chance of success at a goal
Metropolis (1927), 2001 Space Odyssey (1968), War Games (1983), Blade Runner (1982), The Terminator (1984), Short Circuit (1986), The Matrix (1999), Ex Machina (2015),
More recently,
The Terminator, Short Circuit, 2001 Space Odyssey, The Matrix, Metropolis, Westworld
Take set of knowledge we give them and apply to new data
Help humans discover patterns and find unknown
Provide body of knowledge for ground-truth
curated
representative
used to compare further knowledge
Teaching
Don’t learn like a typical human
Only what they need to know
Consider a reverse card sorting exercise
30 participants
How important is it that they all get it right every time?
Consider your industry
Government safety compliance
Accidents related to this tire?
Financial compliance
Accounts with connections to this organization?
Ecommerce chat bot
Women’s pants with pockets?
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.
Late stage of disease at diagnosis and lack of treatment
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
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
Developed initially to answer Jeopardy! questions
IBM's Watson named after IBM's first CEO, industrialist Thomas J. Watson.
“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.
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.
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.
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
teach to discern between right and wrong?
letter vs. spirit of law?
The EU is more inclined to create hard laws that are enforceable.
The EU General Data Protection Regulation, or GDPR, which will come into force in May 2018, is an excellent example. This framework creates certain transparency rights and safeguards against automated decision-making.
Article 22, for example, grants individuals the right to contest a completely automated decision if it has legal or other significant effects on them.
Other articles require data collectors such as advertisers to provide people with access to the collectors’ data on them, and to inform people about the general functionality of the automated system when decisions are made using that data.
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