Artificial intelligence (AI) and machine learning (ML) are undergoing revolutionary changes that will affect wide swaths of our society. And the applications of this technology are increasingly diverse. Join us as we narrow in on how researchers in AL and ML are using AWS to identify and prevent financial market manipulation in a high-volume, high-velocity stock market. We also explore how to use natural language processing to aid emergency response organizations in real time during deadly disasters, such as during hurricanes and catastrophic wildfires.
Artificial Intelligence (AI) and Job LossIkhlaq Sidhu
The arguments of job displacement, economic growth, and policy arguments related to artificial intelligence, data, algorithms, and automated technologies.
Artificial intelligence (ai) will radically transform the way we do business in the future, and the way we live. That’s a strong statement, but i believe it’s true. Ai has many faces. As we are increasingly exposed to it, it’s important to understand what it can and can’t do and how companies can pivot wisely to this still evolving reality without overlooking the ethical, human and regulatory questions it raises.
AI and Robotics are already here. Are we ready to embrace the reality of its impact on the future of jobs and the Workplace? What are the jobs that are likely to become redundant?
Artificial intelligence (AI) and machine learning (ML) are undergoing revolutionary changes that will affect wide swaths of our society. And the applications of this technology are increasingly diverse. Join us as we narrow in on how researchers in AL and ML are using AWS to identify and prevent financial market manipulation in a high-volume, high-velocity stock market. We also explore how to use natural language processing to aid emergency response organizations in real time during deadly disasters, such as during hurricanes and catastrophic wildfires.
Artificial Intelligence (AI) and Job LossIkhlaq Sidhu
The arguments of job displacement, economic growth, and policy arguments related to artificial intelligence, data, algorithms, and automated technologies.
Artificial intelligence (ai) will radically transform the way we do business in the future, and the way we live. That’s a strong statement, but i believe it’s true. Ai has many faces. As we are increasingly exposed to it, it’s important to understand what it can and can’t do and how companies can pivot wisely to this still evolving reality without overlooking the ethical, human and regulatory questions it raises.
AI and Robotics are already here. Are we ready to embrace the reality of its impact on the future of jobs and the Workplace? What are the jobs that are likely to become redundant?
The workshop - 'AI transforming Business' is conducted on 20-21st Feb 2019 at Chennai hosted by CII.in (Confederation of Indian Industry) for top Indian executives.
This is a 2-day full-time workshop focused on coaching delegates on Artificial Intelligence(AI), Transforming business with AI, AI Data Strategy and best practices from organizations leading AI adoption across the world.
Delegates attended include Ex-CEO and Vice Chair of Cognizant Mr. Lakshmi Narayanan, CEO and MD of Ameex, AVP of Infosys, MD and CEO Rane Group, Sr. General Manager of Blue Star, Joint General Manager of L&T and 30 more delegates from top management from manufacturing, agriculture banking, and healthcare.
Speaker: Ashok Kumar - AI Evangelist, Entrepreneur, Executives Coach, Ph.D. Scholar, MBA
15 Pros and 5 Cons of Artificial Intelligence in the ClassroomLiveTiles
Technology has provided us with many new ways to learn. In the classroom, there are both pros and cons of the artificial intelligence that technology offers.
Driven by the rapid progress in Artificial Intelligence (AI) research, intelligent machines are gaining the ability to learn, improve and make calculated decisions in ways that will enable them to perform tasks previously thought to rely solely on human experience, creativity, and ingenuity. As a result, we will in the near future see large parts of our lives influenced by AI.
AI innovation will also be central to the achievement of the United Nations' Sustainable Development Goals (SDGs) and will help solving humanity's grand challenges by capitalizing on the unprecedented quantities of data now being generated on sentiment behavior, human health, commerce, communications, migration and more.
With large parts of our lives being influenced by AI, it is critical that government, industry, academia and civil society work together to evaluate the opportunities presented by AI, ensuring that AI benefits all of humanity. Responding to this critical issue, ITU and the XPRIZE Foundation organized AI for Good Global Summit in Geneva, 7-9 June, 2017 in partnership with a number of UN sister agencies. The Summit aimed to accelerate and advance the development and democratization of AI solutions that can address specific global challenges related to poverty, hunger, health, education, the environment, and others.
The Summit provided a neutral platform for government officials, UN agencies, NGO's, industry leaders, and AI experts to discuss the ethical, technical, societal and policy issues related to AI, offer reccommendations and guidance, and promote international dialogue and cooperation in support of AI innovation.
Please visit the AI for Good Global Summit page for more resources: https://www.itu.int/en/ITU-T/AI/Pages/201706-default.aspx
If you would like to speak, partner or sponsor the 2018 edition of the summit, please contact: ai@itu.int
Inventing Things tTht Matter to the World; Inventing Things tht that Matter to the WOrld; Inventing Things That Matter to the WOrld; Inventing Things That Matter to the World (correct)
AI driven automation will create wealth and expand economies. Find out the views of the Executive Office of the US President in this AI Government led initiative.
How can business professionals succeed in a future with AISemir Jahic
This is the slide deck of a talk given at UCL (University College London) in December 2017. The aim of the talk is to give a very simple overview of AI and its potential future impact on business professionals with a non-technical background.
Sources
Oxford Future of Employment Study (2013), https://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf
Andrew Ng, https://www.oreilly.com/ideas/ai-is-the-new-electricity
Simple examples, https://medium.com/simple-ai/linear-regression-intro-to-machine-learning-6-6e320dbdaf06
Gartner Hype Cycle, https://www.gartner.com/newsroom/id/3784363
AI technology image, https://trailhead.salesforce.com/modules/ai_basics/units/ai_basics_getstarted
AI startup investments, https://www.cbinsights.com/research/top-acquirers-ai-startups-ma-timeline/
FT Investment in AI, https://www.ft.com/content/856753d6-8d31-11e7-a352-e46f43c5825d
UK Government Report on AI, https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/652097/Growing_the_artificial_intelligence_industry_in_the_UK.pdf
McKinsey AI report, https://www.mckinsey.com/mgi/overview
Economist catalogue of fears, https://www.economist.com/news/special-report/21700758-will-smarter-machines-cause-mass-unemployment-automation-and-anxiety
McKinsey job replacement, https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/where-machines-could-replace-humans-and-where-they-cant-yet
HBR - How to spot an AI opportunity, https://hbr.org/2017/10/how-to-spot-a-machine-learning-opportunity-even-if-you-arent-a-data-scientist
Wired Big Data Meets Big Brother, http://www.wired.co.uk/article/chinese-government-social-credit-score-privacy-invasion
Image Sources
https://upload.wikimedia.org/wikipedia/commons/thumb/f/f6/HAL9000.svg/1200px-HAL9000.svg.png
https://s3media.247sports.com/Uploads/Assets/342/613/5613342.jpg
http://vignette2.wikia.nocookie.net/powerlisting/images/b/bd/Neo_The_One.jpg/revision/latest?cb=20131018055648
https://d15shllkswkct0.cloudfront.net/wp-content/blogs.dir/1/files/2013/12/robot_army.jpg
https://en.oxforddictionaries.com/definition/artificial_intelligence
https://fortunedotcom.files.wordpress.com/2016/03/492682174.jpg
https://galaxyis.com/wp-content/uploads/2017/07/Siri-app.jpg
http://s3files.core77.com/blog/images/549466_81_58982_URtPCkWCG.jpg
https://upload.wikimedia.org/wikipedia/en/2/2a/RegVarneyATM.jpg
http://2.bp.blogspot.com/-KKVISRr3LDc/UTdWQ_fNefI/AAAAAAAAQrE/cgLzhYENj6w/s1600/Harold+Blackman%252C+elevator+operator+Baker+Bldg%252C+1913.JPG
Various images from: https://unsplash.com/
A fascinating View of the Artificial Intelligence Journey.
Ramón López de Mántaras, Ph.D.
Technical and Business Perspectives on the Current and Future Impact of Machine Learning - MLVLC
October 20, 2015
The Impact of Robots and Automation on the Future of EmploymentNabeel Amanat
Summarizing the conference attended in Gulf Hotel, Bahrain on 14th and 15th of march 2018, organized by Polytechnic University Bahrain
Conclusion: The conclusion for this conference was to adapt to changes as per the change in the environment and enhancing innovated technology, software skills to your profile.
One example,
Dr. Ihsan Taie (Chief Technologist O&G Network Integrity R&D Division Saudi Aramco)
PHD in Chemicals but developed a department in Aramco related to IT where he hired individual with different specialization in IT field to create and develop robots to reduce risk and maintenance cost
Artificial Intelligence and mobile robotics are transforming businesses and the economy: this deck explores possible futures for companies and workers.
AI and its allied technolgies present an exciting scenario of job changes in coming decades. So are the concerns about loss of traditional jobs. What would be the net impact? We explore the economic models and concepts that allay unfound fears; yet warn us to be ready for constant changes and need for continuous skill rebuilding.
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.
The workshop - 'AI transforming Business' is conducted on 20-21st Feb 2019 at Chennai hosted by CII.in (Confederation of Indian Industry) for top Indian executives.
This is a 2-day full-time workshop focused on coaching delegates on Artificial Intelligence(AI), Transforming business with AI, AI Data Strategy and best practices from organizations leading AI adoption across the world.
Delegates attended include Ex-CEO and Vice Chair of Cognizant Mr. Lakshmi Narayanan, CEO and MD of Ameex, AVP of Infosys, MD and CEO Rane Group, Sr. General Manager of Blue Star, Joint General Manager of L&T and 30 more delegates from top management from manufacturing, agriculture banking, and healthcare.
Speaker: Ashok Kumar - AI Evangelist, Entrepreneur, Executives Coach, Ph.D. Scholar, MBA
15 Pros and 5 Cons of Artificial Intelligence in the ClassroomLiveTiles
Technology has provided us with many new ways to learn. In the classroom, there are both pros and cons of the artificial intelligence that technology offers.
Driven by the rapid progress in Artificial Intelligence (AI) research, intelligent machines are gaining the ability to learn, improve and make calculated decisions in ways that will enable them to perform tasks previously thought to rely solely on human experience, creativity, and ingenuity. As a result, we will in the near future see large parts of our lives influenced by AI.
AI innovation will also be central to the achievement of the United Nations' Sustainable Development Goals (SDGs) and will help solving humanity's grand challenges by capitalizing on the unprecedented quantities of data now being generated on sentiment behavior, human health, commerce, communications, migration and more.
With large parts of our lives being influenced by AI, it is critical that government, industry, academia and civil society work together to evaluate the opportunities presented by AI, ensuring that AI benefits all of humanity. Responding to this critical issue, ITU and the XPRIZE Foundation organized AI for Good Global Summit in Geneva, 7-9 June, 2017 in partnership with a number of UN sister agencies. The Summit aimed to accelerate and advance the development and democratization of AI solutions that can address specific global challenges related to poverty, hunger, health, education, the environment, and others.
The Summit provided a neutral platform for government officials, UN agencies, NGO's, industry leaders, and AI experts to discuss the ethical, technical, societal and policy issues related to AI, offer reccommendations and guidance, and promote international dialogue and cooperation in support of AI innovation.
Please visit the AI for Good Global Summit page for more resources: https://www.itu.int/en/ITU-T/AI/Pages/201706-default.aspx
If you would like to speak, partner or sponsor the 2018 edition of the summit, please contact: ai@itu.int
Inventing Things tTht Matter to the World; Inventing Things tht that Matter to the WOrld; Inventing Things That Matter to the WOrld; Inventing Things That Matter to the World (correct)
AI driven automation will create wealth and expand economies. Find out the views of the Executive Office of the US President in this AI Government led initiative.
How can business professionals succeed in a future with AISemir Jahic
This is the slide deck of a talk given at UCL (University College London) in December 2017. The aim of the talk is to give a very simple overview of AI and its potential future impact on business professionals with a non-technical background.
Sources
Oxford Future of Employment Study (2013), https://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf
Andrew Ng, https://www.oreilly.com/ideas/ai-is-the-new-electricity
Simple examples, https://medium.com/simple-ai/linear-regression-intro-to-machine-learning-6-6e320dbdaf06
Gartner Hype Cycle, https://www.gartner.com/newsroom/id/3784363
AI technology image, https://trailhead.salesforce.com/modules/ai_basics/units/ai_basics_getstarted
AI startup investments, https://www.cbinsights.com/research/top-acquirers-ai-startups-ma-timeline/
FT Investment in AI, https://www.ft.com/content/856753d6-8d31-11e7-a352-e46f43c5825d
UK Government Report on AI, https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/652097/Growing_the_artificial_intelligence_industry_in_the_UK.pdf
McKinsey AI report, https://www.mckinsey.com/mgi/overview
Economist catalogue of fears, https://www.economist.com/news/special-report/21700758-will-smarter-machines-cause-mass-unemployment-automation-and-anxiety
McKinsey job replacement, https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/where-machines-could-replace-humans-and-where-they-cant-yet
HBR - How to spot an AI opportunity, https://hbr.org/2017/10/how-to-spot-a-machine-learning-opportunity-even-if-you-arent-a-data-scientist
Wired Big Data Meets Big Brother, http://www.wired.co.uk/article/chinese-government-social-credit-score-privacy-invasion
Image Sources
https://upload.wikimedia.org/wikipedia/commons/thumb/f/f6/HAL9000.svg/1200px-HAL9000.svg.png
https://s3media.247sports.com/Uploads/Assets/342/613/5613342.jpg
http://vignette2.wikia.nocookie.net/powerlisting/images/b/bd/Neo_The_One.jpg/revision/latest?cb=20131018055648
https://d15shllkswkct0.cloudfront.net/wp-content/blogs.dir/1/files/2013/12/robot_army.jpg
https://en.oxforddictionaries.com/definition/artificial_intelligence
https://fortunedotcom.files.wordpress.com/2016/03/492682174.jpg
https://galaxyis.com/wp-content/uploads/2017/07/Siri-app.jpg
http://s3files.core77.com/blog/images/549466_81_58982_URtPCkWCG.jpg
https://upload.wikimedia.org/wikipedia/en/2/2a/RegVarneyATM.jpg
http://2.bp.blogspot.com/-KKVISRr3LDc/UTdWQ_fNefI/AAAAAAAAQrE/cgLzhYENj6w/s1600/Harold+Blackman%252C+elevator+operator+Baker+Bldg%252C+1913.JPG
Various images from: https://unsplash.com/
A fascinating View of the Artificial Intelligence Journey.
Ramón López de Mántaras, Ph.D.
Technical and Business Perspectives on the Current and Future Impact of Machine Learning - MLVLC
October 20, 2015
The Impact of Robots and Automation on the Future of EmploymentNabeel Amanat
Summarizing the conference attended in Gulf Hotel, Bahrain on 14th and 15th of march 2018, organized by Polytechnic University Bahrain
Conclusion: The conclusion for this conference was to adapt to changes as per the change in the environment and enhancing innovated technology, software skills to your profile.
One example,
Dr. Ihsan Taie (Chief Technologist O&G Network Integrity R&D Division Saudi Aramco)
PHD in Chemicals but developed a department in Aramco related to IT where he hired individual with different specialization in IT field to create and develop robots to reduce risk and maintenance cost
Artificial Intelligence and mobile robotics are transforming businesses and the economy: this deck explores possible futures for companies and workers.
AI and its allied technolgies present an exciting scenario of job changes in coming decades. So are the concerns about loss of traditional jobs. What would be the net impact? We explore the economic models and concepts that allay unfound fears; yet warn us to be ready for constant changes and need for continuous skill rebuilding.
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.
These slides are the summary of y presentation on A.I. In Africa: Perspectives and Challenges during the Conference organized by MBCode Consulting Group under the theme: where is Africa on the map of AI?. The goal was to evangelize and raise awareness among the youth about A.I. and how it applies on the continent, and also the necessity to invest time on that direction
Get ready for Artificial Intelligence (AI) to enter our lives thanks to recent world changes. Artificial Intelligence (AI), or machine intelligence, is the field developing computers and robots capable of parsing data contextually to provide requested information, supply analysis, or trigger events based on findings. Through techniques like machine learning and neural networks, companies globally.
AI leadership. AI the basics of the truth and noise publicLucio Ribeiro
There are 6 things I identified in the last 2 Years I have been working in AI.
The Problem is - Hysteria
The lack of context is leading to Noise
The Noise is distracting from the attention and urgency where AI should really be
Executives want a Solution and Directions.
THE GOOD NEWS IS: You don’t need to know the HOW to do, leave this to the tech dudes. You need to know the WHY?
You need to create a culture of enablement. A culture of Data
Ethical Dimensions of Artificial Intelligence (AI) by Rinshad ChoorapparaRinshad Choorappara
Explore the ethical landscape of Artificial Intelligence (AI) through our insightful PowerPoint presentation. Delve into crucial considerations that shape the responsible development and deployment of AI technologies. From privacy concerns and bias mitigation to transparency and accountability, this presentation covers the key ethical dimensions of AI. Gain a comprehensive understanding of the ethical challenges and solutions in the rapidly evolving world of artificial intelligence. Stay informed and empower your audience with the knowledge needed to navigate the ethical intricacies of AI responsibly.
Let us see the good and bad effects of the impact of Artificial Intelligence and the emerging technologies!
Artificial Intelligence is trendy. Every event, every strategy meeting and every consulting firm talks about it. This whitepaper aims to separate actual facts and important background information from the overarching marketing buzz.
You will get a short but information-rich wrap up about: What causes the current hype? Where are we today? What are the innovation leaders doing with AI? And what are immediate action points to focus on by applying artificial intelligence to your business?
Grande conférence AQT - IA et apprentissage profondValérie Talbot
Grande conférence AQT avec Yoshua Bengio (Directeur du MILA et professeur à l'Université de Montréal) sur l'intelligence artificielle et l'apprentissage profond animée par André d'Orsonnens, PDG de Druide Informatique.
Presentación sobre inteligencia artificial. Los neofito dueños del sitio quieren hacerse millonarios a costa del esfuerzo de los usuarios. Lo malo es que no le dan ni un solo peso al usuario que sube sus trabajos. Sin embargo ellos les cobra a los demás U$s 100 por mes.
Sharpen existing tools or get a new toolbox? Contemporary cluster initiatives...Orkestra
UIIN Conference, Madrid, 27-29 May 2024
James Wilson, Orkestra and Deusto Business School
Emily Wise, Lund University
Madeline Smith, The Glasgow School of Art
Acorn Recovery: Restore IT infra within minutesIP ServerOne
Introducing Acorn Recovery as a Service, a simple, fast, and secure managed disaster recovery (DRaaS) by IP ServerOne. A DR solution that helps restore your IT infra within minutes.
0x01 - Newton's Third Law: Static vs. Dynamic AbusersOWASP Beja
f you offer a service on the web, odds are that someone will abuse it. Be it an API, a SaaS, a PaaS, or even a static website, someone somewhere will try to figure out a way to use it to their own needs. In this talk we'll compare measures that are effective against static attackers and how to battle a dynamic attacker who adapts to your counter-measures.
About the Speaker
===============
Diogo Sousa, Engineering Manager @ Canonical
An opinionated individual with an interest in cryptography and its intersection with secure software development.
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
This presentation by Morris Kleiner (University of Minnesota), was made during the discussion “Competition and Regulation in Professions and Occupations” held at the Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found out at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Have you ever wondered how search works while visiting an e-commerce site, internal website, or searching through other types of online resources? Look no further than this informative session on the ways that taxonomies help end-users navigate the internet! Hear from taxonomists and other information professionals who have first-hand experience creating and working with taxonomies that aid in navigation, search, and discovery across a range of disciplines.
María Carolina Martínez - eCommerce Day Colombia 2024
Ai morality-today-2018-web
1. AI Implications and Ethics Today
(Tom Daly 2018)
A brief introduction to the status of AI
and consideration of some of the
current ethical questions.
2. GOALS
Start conversations
• within the “C”hurch to raise
awareness.
• (in part) use AI to highlight that
we would all benefit if science
and technology would embrace
rather than exclude theological
considerations
3. Agenda
1. Introduction to AI
2. Implications of AI
– Economic / societal
– Direct Ethical considerations
– Risks
3. Implications from the future “today”
4. Initial thoughts on how to respond
5. AI Introduction
Definition
Artificial Intelligence
is intelligence displayed by machines, in contrast
with the natural intelligence (NI) displayed by
humans and other animals.
Machine Learning
gives computers the ability to learn without being
explicitly programmed. (Arthur Samuel 1957)
6. • Image recognition & processing (c.f. human sight)
• Speech recognition
– natural language processing
• speech to text <-> text to speech
• language translation
• Rudimentary Spatial awareness
– via imaging and radar etc
– Boston Dynamics robot arms for examples.
• Rudimentary modeling
– prediction
AI Introduction
some important components – that are part of overall AI “progress”
7. AI is today
Far broader than just (ro)bots
• Junk mail filtering
• Credit Card companies : fraud detection
• Hiring/recruiting
• Driverless cars
• Electronic assistants : Siri, Alexa Cortana etc
• Google search
• Facebook,Google, advertising, marketing etc
• Medical (reading scans, images, diagnostics,
surgery and more ... )
• Boston Dynamics,
• Amazon Go : cashless supermarkets
• Cloud (early) : AI used to spot and fix/manage
operational errors
• Face recognition
– fun e.g. photos on your laptop/facebook
– anti-terror and policing uses, for tracking people.
– major crimes ?
• Uber/Lyft – ML for pricing
• Navigation (maps)
• Financial modeling / stock market trading
• Loan approving / credit risk
• Speech recognition
• Language translation
• Text to Speech
• Battlefield and Warfare (LAWs)
• Image recognition
• Game playing
– Watson – chess , AlphaGo and AlphaGo Zero => watershed
moment!
• Legal/Paralegal
• Crime fighting
– modeling / prediction
And so much more !
customer
service BOTS ?
9. AI Today – Examples
Amazon Go , Bingo Box
https://technode.com/2017/09/28/bingobox-unveils-new-ai-tech-for-
its-unmanned-stores
BingoBox
• fast moving consumer
goods
• cheaper (?)
• like automated OTR
10. AI Today – Example
Medical Imaging
• IBM Deep learning => identifying tuberculosis with 96 percent
accuracy
• IBM Deep Patient => predict disease given a patient's medical
records. The application proved to be considerably better at
forecasting disease than physicians—even for schizophrenia.
https://www.ibm.com/developerworks/library/cc-beginner-guide-machine-learning-ai-
cognitive/index.html
Smart Phone apps https://iq.intel.com/skin-cancer-detection-using-artificial-
intelligence/?sf181438035=1
• initially 10,000 photos
• looking for 100 of thousands more
How many images/patients could a dermatologist view in their lifetime ?
How does the medical professionals role change in light of this “type” of application?
11. AI Today – Example
Mortality prediction
• for end of life (so can die at home)
• predict sudden death => intervention
https://spectrum.ieee.org/the-human-
os/biomedical/diagnostics/stanfords-ai-predicts-death-for-better-end-
of-life-care
University of Adelaide have developed an AI that can
analyze CT scans to predict if a patient will die within five
years with 69 percent accuracy.
12. • Computing power (enables Deep Neural Networks)
• Moore’s law , GPUs , (soon Quantum)
• Large Super Computers -> PC -> Cloud
• Democratization of Tools and Techniques
• Availability of large data sets (many for free)
• IOT (cameras , sensors, cars , phones … )
• facebook, google …
• scientific: SKA to capture 1ZB data/6 hrs
AI Today – why now
Computing power and big data
computing power increasing
exponentially
13. AI Today – why now
Collaboration / neuroscience advances
Internet and globalisation
sharing of information , building on progress
C.F. Human gnome project where collaboration was key
Advances in neuroscience
• advances in imaging
• AI adopting discoveries and models from neuro and cognitive sciences
https://www.technologyreview.com/video/609389/understanding-intelligence/
14. AI Today – why now
M-O-N-E-Y !
Follow the Money
China
US Tech Companies
Facebook, AWS, Google , Oracle, IBM
Microsoft and many many more
huge venture capital => drives innovation
Defence and Govt agencies
https://www.forbes.com/sites/louiscolumbu
s/2018/02/18/roundup-of-machine-
learning-forecasts-and-market-estimates-
2018/#13c9280d2225
ML patents grew at a 34% (CAGR)
between 2013 and 2017, the third-
fastest growing category of all
patents granted.
IDC: spending on AI and ML will
grow from $12B in 2017 to $57.6B
by 2021.
Deloitte Global: #of machine
learning pilots and implementations
will double in 2018 compared to
2017, and double again by 2020
17. Areas of Implications of AI
Economic/social Ethics
Use of AI
• Significant job loss and
structural change
• UBI
• impact on developing
countries
• Who owns assets E.g.
Uber
• Meaning / Purpose
without employment Good Bad
Intrinsic
Risks
• legal responsibility for AI
• AI goals/value encoding
• Biases (e.g. racial)
• black box problem
• Augmentation
• Cure diseases
• climate and ecology
• solve energy issues
• reduce road toll
• ease poverty(?)
• assisted living
• AI assisted research
• autonomous
weapons
• Replacement
for “beating
heart”?
• Sex
robots/Deep
fakes
• catastrophic failure
• AI arms race
• govenment misuse
• new security threats
• SuperIntelligence
Alignment problem /
loss of control
• investment in AI
power not risk
mitigation
Theological/Philosop
hical
(Super Intelligence)
• create god(s)
• become god(s)
• alignment issues
• justice
• freewill
• mercy
• morality
• agency
• what does it mean to be
human?
• mind or matter first
• machine rights
• charity/empathy/compa
ssion
• moral to stop it / kill it ?
• consciousness
• Implications for
Christianity
18. Employment / Economic implications
Job losses just from transport are potentially signifcant !
http://www.abc.net.au/news/2017-03-11/everything-you-need-
to-know-about-driverless-cars/8336322
Highly automated 2020
Fully automated next decade
(i.e. 2020’s)
Society of Automotive Engineers/VicRoads
Robotaxi permit gets
Arizona’s OK; Waymo will
start service in 2018
Insurance industry is “very aware” and preparing for massive change
19. Employment / Economic implications
significant loss of employment over broad range – looking likely
From MIT where there is a HUGE investment
into AI research and robotics
http://www.abc.net.au/news/2017-08-08/could-a-
robot-do-your-job-artificial-intelligence/8782174
Feb 2018 NAB
announced 6000 job
losses due entirely to
automation
ABC Website has
some good analysis
on AI and jobs
20. World Economic Forum
• USA Med students start with $300K debt , but if AI is doing better diagnostics than
doctors, then try paying that off as a yoga teacher.
• In Germany robots have effectively blocked many from entering the manufacturing field,
instead higher numbers go straight into service jobs.
• global management consultants McKinsey “More than a fifth of the global labour force -
800 million workers - might lose their jobs because of automation.”
Oxford University academics Carl Frey and Michael Osborne,
• 47 percent of jobs in the US were at high risk of being automated
OECD :
• 10% job loss but significant structural change in many jobs .
World Bank :
• World Bank Group President Jim Yong Kim says the world is a on a "crash
course"
Employment / Economic implications
Number of jobs lost to AI is debated, the fact of Job loss and change in not.
21. Offshoring took jobs and placed them in
developing countries
What happens now that workers in developing
countries are competing with AI and robots in
richer countries ?
E.g. Call centres
• jobs reduced by AI bots (text and voice)
• potential for cost savings is large i.e. $/day
is starting to look expensive
Employment / Economic implications
Developing Countries
BOTS
• don’t need a break
• can work 24*7
• get sick or need health care
• scale cheaply
• get cheaper with more work
• are owned by the rich
• can have the right “voice”
22. • Once heard a sermon from Tim Costello where he referred to work as
“occupational therapy” as it is closely tied to identity and often personal value
• Universal basic wage or universal basic income is appearing in the mainstream
media.
• Who owns assets ?
– e.g. Uber for instance
– Robot Tax c.f. land tax
Employment / Economic implications
Compare Industrial revolution => societal change
Job losses and displacement from AI and automation are already happening, perhaps
it is just change but what if it is more than that ?
What is the meaning of work ?
24. Ethics in use of AI
beneficial uses of AI : some examples
• reduce road toll
– approx 36,000 deaths in the US , 1200 in Australia in
2017
• enable discovery of cures for diseases
– Cancer and disease screening set to be vastly more
reliable
– AI may discover answers to medical questions we
haven’t yet asked
• Assisted living (disabled, elderly)
• Assist developing world
– AI and chatbots gathering data, directly assisting people
Is there a “moral obligation” to pursue AI because of the suffering it could alleviate ?
Stanford research
IBM
investment
World Bank Blog
25. Note the personalisation and the use of “I” and “we” pronouns
Are we fooling ourselves ? Do people in need … need a machine ?
Ethics in use of AI
bad (or at least questionable) uses of AI : woebot on FB messenger
26. Ethics in use of AI
Bad uses of AI
• AI arms race
– Intelligence itself can yeild power => AI arms race to AGI
https://motherboard.vice.com/en_us/article/xywmyk/a-global-
arms-race-to-create-a-superintelligent-ai-is-looming
• Lethal Autonomous Weapons (LAWs)
– Imagine a “drone” which learns who, what, when to
attack with no human control.
– What about swarms of autonomous drones
– Many countries are developing LAWs
http://time.com/4948633/robots-artificial-intelligence-war/
Remember a LAW is likely “writing or modifying its own code or
data ”
Boston Dynamics
have a range of ever
more capable AI robots
27. • AI powered sex robots
• Deepfakes Porn / Child Porn
Ethics in use of AI
bad uses of AI : impact on human sexuality
WikiPedia : Deepfake, a portmanteau of "deep learning"
and "fake",[1] is an artificial technique. It is used to combine
and superimpose existing images and videos onto source
images or videos.
Deepfakes may be used to create fake celebrity pornographic
videos or revenge porn.[2] Deepfake pornography surfaced
on the Internet in 2017, particularly on Reddit,[3] and has
been banned by sites including Reddit, Twitter, and
Pornhub.[4][5][6] Deepfakes can be used to create fake news
and malicious hoaxes.[7][8]
28. Moral/Ethical implication #3
• Today AI used (increasingly) for hiring decisions
– What if the AI has indeed learned who is the “best
person for the job” , do we need to re-examine our
definition of best?
• Another example: credit rating in the US
– racial bias built into the data, but it is data !
Ethics : Intrinsic
Example : decision making HR
Great example of challenges of goal alignment => we had better be honest, but
also who chooses ?
29. Moral/Ethical implication #3
• Example : AI used to determine/assist recidivism risk i.e parole / bail
Good, because it is well known that human factors can negatively influence outcomes (e.g.
prior to lunch, after lunch variation)
Challenging because how do we know the basis of a decision
?https://www.nytimes.com/2017/05/01/us/politics/sent-to-prison-by-a-software-
programs-secret-algorithms.html
• Example: a particular classifier engine classifies “husky dog” as wolf but never
actually gave weight to the part of the image that was the dog.
Ethics : Intrinsic
decision making , black box problem
Black-Box problem: not possible to understand the AI’s
decisions/results
Is there some human “uniqueness” needed ?
31. • Catastrophic failure
– c.f. nuclear weapons
• New AI based cyber attacks
– MicroSoft using VR to “test” advanced AI’s against “attack”
– “indeed, the big takeaway of the report is that AI is now on the cusp of
being a tremendously negative disruptive force as rival states, criminals,
and terrorists use the scale and efficiency of AI to launch finely-targeted
and highly efficient attacks”
Risks
https://www.gizmodo.com.au/2018/02/new-
report-on-ai-risks-paints-a-grim-future
• Oxford “Future of humanity institute”
• Cambridge “Centre for study of existential risk”
• EFF (electronic frontiers foundation)
• OpenAI
Stuxnet
32. • Investment
– Money going into AI power not risk mitigation both
• Human influences
– Microsoft Tay chatbot
• Courts and evidence
– fake audio, fake video
Risks
ABC Website 4th March 2018
Scientific American
33. Nudge Theory / pursasion
– AI chatbots already suspected of influencing political
opinions via social media (c.f. subliminal adverstising
on steroids)
– 2017 Veritas Forum at Brown : “ Can Robots Become
Human”
https://www.youtube.com/watch?v=tbUnMhod_A0
– Guardian Science Weekly podcast on AI from 2017
Risks
34. Risks
"We've deployed new AI tools
that do a better job of
identifying fake accounts that
may be trying to interfere in
elections or spread
misinformation," he said.
"There are people in Russia
whose job it is to try to exploit
our systems and other internet
systems … so this is an arms
race.
Example of “AI and power being connected”
35. • Surveilence
– Video
• facial recognition
• tracking
• top of head / shoulders recognition / tracking
– drone(s)
– USA seriously considering requiring “social media account access” as visa /
immigration requirement
• E.g. China “citizen number”
Risks
37. Theological implications
What our culture is being told : why it matters now, not tomorrow.
“I am absolutely convinced that the gas chambers of Auschwitz,
Treblinka, and Maidanek were ultimately prepared not in some
ministry or other in Berlin, but rather at the desks and in the lecture
halls of nihilistic scientists and philosophers.”
Viktor E Frankl (2012).
“The Doctor and the Soul: From Psychotherapy to Logotherapy”
Suggests :
academic, scientific statements/beliefs about AI made today => effect tomorrow
Implies:
important to understand and critically examine these statements/beliefs today
38. https://www.wired.com/2017/04/the-myth-of-a-superhuman-ai/
Excerpt: Many proponents of an explosion of intelligence expect it will produce an explosion of
progress. I call this mythical belief “thinkism.” It’s the fallacy that future levels of progress are only
hindered by a lack of thinking power, or intelligence. (I might also note that the belief that thinking is
the magic super ingredient to a cure-all is held by a lot of guys who like to think.)
Theological implications
Also interestingly this.
But what about the (broken) state
of the human heart
lust for power
love of money
devotion to sex
Will more available intelligence solve or amplify the issues of the heart ?
How do we avoid tainting an AI with these human characteristics
nationalism
pride
fear
hatred
indifference
…
39. Areas of Implications of AI
Economic/social Ethics
Use of AI
• Significant job loss and
structural change
• UBI
• impact on developing
countries
• Who owns assets E.g.
Uber
• Meaning / Purpose
without employment Good Bad
Intrinsic
Risks
• legal responsibility for AI
• AI goals/value encoding
• Biases (e.g. racial)
• black box problem
• Augmentation
• Cure diseases
• climate and ecology
• solve energy issues
• reduce road toll
• ease poverty(?)
• assisted living
• AI assisted research
• autonomous
weapons
• Replacement
for “beating
heart”
• Sex robots
• Deep fakes
• catastrophic failure
• AI arms race
• govenment misuse
• new security threats
• SuperIntelligence
Alignment problem /
loss of control
• investment in AI
power not risk
mitigation
Theological/Philosop
hical
(Super Intelligence)
• create god(s)
• become god(s)
• alignment issues
• justice
• freewill
• mercy
• morality
• agency
• what does it mean to be
human?
• mind or matter first
• machine rights
• charity/empathy/compa
ssion
• moral to stop it / kill it ?
• consciousness
• Implications for
Christianity
41. General Responses “Today”
1. Recognise the increasing rate of “change” due in
part to technology
2. Question how and where AI is being relied upon
3. Start to foster dialogue in workplace
4. Take charge of “tech in our families”
42. Christian Responses
Identify / investigate / raise discussions about
resources that Christian faith (should) provide: -
demonstrate the resources that faith in Christ offers
such as peace and hope in an uncertain world
basis for human value in a world of less or drastically
different and more segregated work
thoughtful discussion of need of “human uniqueness”
43. Christian Responses
challenge and investigate the cultural assumption
that AI/science/tech can solve all of mankind’s
problems.
Given the corresponding fears of
AGI/SuperIntelligence we have a moment in time
in which to do so!
Editor's Notes
Theologians and people of faith often suspicious of science and tech
Scientists can be dismissive of theology and philosophy.
Western culture is increasingly putting “faith” in science/tech to solve all of humanities issues and this influences our societies values (and our kids).