AI Governance Group (new mailing list/group)
7.6A AI - Introduction
Class Outline
Intelligence and Consciousness
Deep Learning, Machine Learning and AI
Autonomous Systems
Super Intelligence
Applications
Class Description (Microsoft - Artificial Intelligence Professional Program - Curriculum Overview)
Course 9a - Computer Vision and Image Analysis Course 9b - Speech Recognition Systems . Course 9c - Natural Language Processing (NLP)
Class Description (Kilnam Chon, AI: Past and Present; ppt)
AI Introduction: history, terms
AI economy and industry
Super Intelligence
Complex systems and narrow AI
AI governance
Future of AI
References
Class Video (UC Berkeley CS 188; First Class)
Lecture Candidates: Jaeseung Jeong/KAIST, Joanna Bryson/Bath, Yudho Giri Sucahyu/Indonesia, Kilnam Chon/KAIST
7.6B AI Governance
Class Outline
AI History
AI Principles; Asilomar Principles, Asimov's Law
Governance: Algorithm (transparency), Explainability, Accountability, Regulation
Ethics (and Human Rights)
Safety and Security
Impact: Society and Economy
Future: General AI and Its Implication
Class Description (by Danit Gal)
This lecture on AI governance will be divided into three sections. The first will provide an overview of the ethical, inclusive, and societal aspects of AI. We will examine key documents such as the IEEE’s Ethically Aligned Design v.2, the Asilomar Principles, and the AI Now report. The lecturer will also offer first-hand insights from relevant conferences on these topics. The second will discuss the economic and regulatory aspects of AI. We will examine government regulations, policies, and standards from around the world and key documents such as the AI Index, reports from global firms, and other relevant documents. The third will examine the technical aspects of AI governance, including safety, robustness, and security. We will examine outputs and insights from leading institutions and thinkers in the field, and review existing best practices in the field. Each section will provide a brief overview of existing materials to inform participants of ongoing discourses in these fields, and offer questions for discussion. The following discussion will be themed around the relevance and application of these global discourses to Asia, with an emphasis on East and Southeast Asia.
Class Description (by Sunyoung Yang)
Applicability of Existing Global Governance Models for the Formation of Global AI Governance
Recent innovations in Artificial Intelligence (AI) have been accelerated by computing technologies and big data. AI can be defined as “activity devoted to making machines intelligent, and intelligence is that quality that enables an entity to function appropriately and with foresight in its environment” (Nilsson 2010). AI is both creating new frontiers for social experience, public infrastructure, and industrial innovation, but it also threatens to accelerate automation, social alienation, and global inequities. The impact of AI has worldwide implications, which calls for globally collaborative efforts to develop a joint governance of AI, as well as the need to allow diverse groups to contribute to the process. New regulations for self-driving cars and aircrafts, imposition of taxes for robot labor, and banning of autonomous weapons are examples where AI governance is needed. This lecture intends to articulate the components required to develop a global governance of AI based on the model of multi-stakeholder processes (Hemmati 2002). This lecture will determine what factors will be pertinent to AI governance from existing examples of global governance, including Internet Governance, the Intergovernmental Panel on Climate Change, more broadly the UN Environment, and global governance of nuclear technology. This lecture will then synthesize the existing examples of global governance and analyze the applicability of those examples for AI governance, examining Internet governance and AI governance within the broader context of digital governance.
Class Description (Thematic Pillars by Partnership of AI)
Safety-critical AI
Fair, Transparent and Accountable AI
Collaboration between People and AI
AI, Labor and Economy
Social and Societal Influences of AI
AI and Social Good
Lecture Pool: Danit Gal
Lecture Candidates: Sunyoung Yang, Ema Arisa, Woodrow Herzog,...
AI Conferences
AAAI Annual Conference, since 1980s (2019-01-27~02-02, Honolulu)
ACM/AAAI AI, Ethics and Society, 2018, 2019
(cambridge)
FLI Beneficial AI, 2015, 2017, 2019
IJCAI International Joint Conference of AI (2019-08-10~16, Macao)
ITU AI for Good, 2017, 2018
NeurIPS Montreal, 2018.12.2-8
OECD AI: Intelligent Machines and Smart Policies, 2017
(oxford)
SGAI International Conference on AI, since 1980s
Tokyo University AI and Society, 2017
References
2018 Isaac Asimov Memorial Debate: AI, 2018.
3 next steps on conversational AI, VB, 2018.7.
AAAI, Spring Symposium Series, Palo Alot, 2018.3.26-28.
Acceptable Intelligence with Responsibility (AIR)
By Jun Zhu, et al, Future of AI in China, CACM, November 2018.
Philippe Aghion, Artificial Intelligence and Economic Growth, 2017.10.
Artificial Intelligence Channel, YouTube.
AI4ALL
AI and Society, Tokyo, 2017.10.
AI Democratization
AI, Ethics and Society, AAAI/ACM, New Orleans, 2018.2.2-3. [program]
AI, Ethics and Society, AAAI/ACM, Honolulu, 2019.1.27-28.
AI Organization List (from AI and Society)
AI Today, Seoul National University, Seoul, 2018.8.24.
Dario Amodei, et al., Concrete problems in AI Safety, 4th Machine Learning and AI Safety Workshop, MIRI, 2017.
Anand Murali, Big Eye, 2018.8.
ASILOMAR AI PRINCIPLES, 2017.
Gnneieve Bell, Beyond Trolly Problem: Ethics in AI, AIDC 2018, Intel, 2018.6.
Beneficial AI 2017 - Future of Life Institute, Asilomar, 2017.
Beneficial AI Japan, Regional Report on AI Ethics, 2017/2018.
BigThink, Here's AI documentary Elon Mask thinks is essential viewing, 2018. [with video, doyoutrustthiscomputer.org]
Bloomberg, AI Will Add $15.7 Trillion to the Global Economy, 2017-6.
Bloomberg, Rise of AI, 2018.6
Bloomberg, Is AI ready for improving comedy, 2018.6.
Nick Bostrom, Superintelligence, 2014.
BSI, Standards on AI.
Building AI-powered society, greylock partners, 2018.4.
Building AI-powered society, greylock partners, 2018.4.
Erik Brynijolfsson, Second wave of second machine age, Oxford, 2017.4.
Derin Cag, Top 20 AI books and white papers, 2017.10.
Cambridge University, The future of intelligence, 2015.
Oliver Cameron, Self-driving cars in a city like no other (The Villages), 2018.1.
Center for New American Security, Strategic Competition in Era of AI, Series on AI and International Security, 2018.7.
Center for New American Security, AI: What every policymaker nees to know, Series on AI and International Security, 2018.6.
CFI (Center for Future of Intelligence), Science Fiction vs Science Fact, Cambridge, 2017.7.13-14.
China Daily, Open access to datasets critical for nurturing AI talents, 2017.12.23.
Chinese Government, "Vision on AI ascendancy", 2017. (in Chinese) (English translation)
China Standard Administration, White Paper on AI in China, 2018. [English Translation]
Kilnam Chon, Artificial Intelligence: Past and Present, 2018.
C-LES, AI Today: Governance and , 2018.8.24.
CMU, Carnegie Mellon is set to offer the first undergrad AI degree in the US, 2018.5.
Columbia University, Introduction to AI, edX.a
DARPA, Explainable Artificial Intelligence (XAI) by David Gunning, 2018.
Dawn of Killer Robots, YouTube, 2015.
EFF, How militaries should plan for AI, 2018.8.
Arisa Ema, AI Ethics and Policy in Japan, Taming AI Seminar, Seoul, 2018.6.
European Parliament, Report with Recommendation to Commission on Civil Law Rules on Robotics, 2017.
Edward Felton, AI and Explainability: A computer science perspective, 2018.
FLI, Lethal Autonomous Weapon Pledge, 2018.8.1
FLI, Second AI Safety Grand Round, 2018.8.
Conference on Fairness, Accountability, and Transparency, NYU, 2018.2.23-24.
Forbes, This AI Can Recognize Anger, Awe, Desire, Fear, Hate, Grief, Love ... By How You Touch Your Phone, 2018.8.
Lex Fridman, Artificial General Intelligence, MIT 6.S099.
Future of Life Institute, Beneficial AI 2017.
G7 (ICT) Ministry Meeting, 2016, 2017.
Glocom, AI and Japan 2017, Innovation Japan, 2018. [in Japanese; Full Report, Summary]
Gognizant, Winning the age of AI: Futuer of Work, Workers and Education, 2018.4.Google, Learn with Google AI, 2018.3.
Y. Harari, 21 lessons to the 21st century, Google Talk, 2018. [Book]
Woodraw Hartzog, Ethical and accountable AI, 2018.
Geoffrey Hinton, Andrew Ng's Interview of Geoggrey Hinton, 2018. [in youtube]
HITE, "Human and AI - Co-development Symposium", 2018.3.14. [in Japanese]
Indian Government, Report of Task Force on Artificial Intelligence | Department of Industrial Policy & Promotion | MoCI | GoI, 2018.
ISO/IEC JTC1 SC42, Standardization on AI.
International Conference on Love & Sex with Robots, 2018.
Joi Itoh and Reid Hoffman, Future of Work, EmTech, 2017.
ITU, AI for Good, 2018.5.15-17.
JA Directives, 18 best AI courses, 2018.
Japanese Government (Soumusho), Conference Toward AI Network Society. (also AI R&D Principles)
Japanese Government (Cabinet Office), AI and Human Society, 2017.
David Gunning, Explainable AI (XAI), Darpa, Proceedings of AI Today, Seoul, 2018.8.24.
Japan Society on AI, The Open Discussion on , JSAI Ethics Committee, 2017.5.24. [Ethical Guideline] [Arisa Ema, AI Principles and Ethics in Japan and Abroad]
Jalak Jobanputra, Beyond finance: considering business and social impact of blockchain, Business of Blockchain, MIT, 2017.
Michael Jordan, AI: revolution has not happened yet, Medium, 2018.4.
Jingkwon Jun, Explainable AI: Key to sound governance?, KAIS, 2018.8.24.
Henry Kissinger, How the enlightenment ends, The Atlantic, 2018.6.
Victoria Krakovna, AI Safety Resources. AI Safety: past, present and future [youtube]. 2017 NIPT Report.
Ray Kurzweil, Marvin Minsky Interview: Is Singularity Near, 2014.
Ray Kurzweil, How to create a mind, Talks at Google, 2012.
A Lauterbach, AI: A strategic business and governance imperatives, NACD, 2016.9/10.
Kai-Fu Lee, Tech companies should not pretend that AI won't destroy jobs , MIT Tech Review, 2018.2.
Kai-Fu Lee, AI Superpowers: China, Silicon Valley and New World Order, 2018.8. [TED Talk]
List of AI Tools You can Use Today, 2018.5.
List of AI Tools You can Use Today, 2018.5.
Bill McDermott (SAP), Machines can't dream, WEF, 2018.1.
McKinsey, AI: Time to act is now, 2018.1.
McKinsey, An executive guide to AI, 2018.2.
McKinsey, Competing in AI economy with Interview of Andrew McAfee, 2018.3.
McKinsey, AI problems and promises, 2018.10.
Medium, How the world preparing for AI apocalypse, 2018.12.
Microsoft, Future Computed: AI and its role in society, 2018.1.
Microsoft AI, 2018.2.
Microsoft, A developer's guide to AI applications, Microsoft Azure, 2018.8.
Microsoft, Ethics and Law (online course), edX. (one ten courses on AI)
MIRI (Machine Intelligence Research Institute), 4th Workshop on Machine Learning and AI Safety, Berkeley, 2017.
MIT Intelligent Quest (IQ), 2018.2.1.
MIT Media Lab, AI & Governance Symposium, 2016.
MIT Media Lab, AI Ethics and Governance Projects.
MIT Technology Review, Biased Algorithms Are Everywhere, and No One Seems to Care, 2017.
MIT Technology Review, AI software learns to make AI softwarae, 2017.1.
MIT Technology Review, China's AI Awakening, 2017.10.10.
MIT Technology Review, Hedge funds are increasing turning to AI, 2017.12.
MIT Technology Review, China and USA are bracing an AI showdown , 2018.1.
MIT Technology Review, How the AI cloud produce the richest companies ever, 2018.3.
MIT Technology Review, To protect AI systems, show fake data, 2018.3.
MIT Technology Review, To protect AI systems, show fake data, 2018.3.
MIT Technology Review, China wants shape global future of AI , 2018.3.
MIT Technology Review, Google X-ray project shows AI won't replace doctors anytime soon , 2018.3. [paper]
MIT Technology Review, With this tool, AI could identify malware,...., 2018.4.
MIT Technology Review, A machine has figured out Rubik’s Cube all by itself, 2018.6.
MIT Technology Review, AI is a new space race, and US needs Sputnik moment, 2018.7.
MIT Technology Review, A global ethics study aims to help AI solve the self-driving “trolley problem”, 2018.10.
MIT, Artificial General Intelligence, MIT 6.S099 (by Lex Fridman), 2018.
MITx, Machine Learning with Python, 2018.(edX)
MITx, Minds and Machines, MIT 24.09x, 2017. (edX)
Andrew Ng, AI is new electricity, Stanford, 2017.
Andrew Ng, deeplearning.aihttps://www.deeplearning.ai/, 2018.
NHK, Global Agenda: AI * Ethics, 2017.12. [selner vrubgshirdm frabcius cgikketm bart selman, kanaya/araya]
OECD, "Summary of CDEP Tech Foresight Forum: Economic and Social Implications of AI", http://oc.cd/ai2016.
OECD, Economic and social implication of AI, DSTI/CDEP (2016)17, 2017.2.10. [OECD Conference on AI, Paris, Tokyo,...]
OECD, AI Conference: AI - Intelligent machine, and smart policy, 2017.10.27.
OECD, Digital Economy Outlook, 2017. ["ensuring transparency and oversight of AI-powered decisions that impact people," p.305 for AI governance.
H Rahmana, Good governance is the next big thing in AI, Engadget, 2016.11.23.
RightsCon, Toronto Declaration on AI, 2018.6.
RightsCon, Toronto Declaration on AI, 2018.6.
Jean-Marc Ricldi, Geneve Center for for Security Policy,
Stanford University, Human Centered AI, 2018.
Stuart Russel, 3 principles for making AI safer, 2018.
Stuart Russel, Introduction to AI.
Science News, Harvard and MIT opens a course on "AI and Ethics", 2018.2. [in Korean]
Sam Shead, Tech giant AI researchers boycott Nature "Machine Intelligence Journal", Forbus, 2018.
Ishiveena Singh, Perfect storm alled AI and geospatial big data, geoawesomeness, 2017.10.
Smithsonian, What our society looks like when AI is everywhere, 2018.
Stanford AI 100 Report, 2015.
Tallinn Digital Summit, 2018.10.15-16.
Mag Tegmark, How Far Will AI Go? Intelligible Intelligence & Beneficial Intelligence, 2018. [youtube]
Mag Tegmark, Life 3.0. [video]
Toward Data Science, Data Science, Machine Learning and Artificial Intelligence for Art, 2018.11.
UC Berkeley, Introduction to AI, CS188. [First class as Introduction to AI in 85 minutes]
UK, Intelligent future? - Maximizing the opportunities and minimizing the risk of AI in UK, 2016.10.25.
UN(ODA), International Conferences on Killer Robots, 2016~
UNESCO, Open Discussion on AI, Paris IGF, 2018.11.
US DoD, Joint AI Center, 2018.
Verge, The Pentagon plans to spend $2 billion to put more artificial intelligence into its weaponry, 2018.9.8.
WebFoundation, Future of technology - AI. [White paper on AI: Road ahead in Low and Middle-Income Countries]
WebFoundation, How open data save AI, 2018.1.
Wired, Inside Amazon's AI Flywheel, 2018.1.
Wired, Hackers found a way to make Amazon Echo as a spy bug, 2018.8.
Wired, HOW TO TEACH ARTIFICIAL INTELLIGENCE SOME COMMON SENSE, 2018.11.
Who invented backpropagation?, 2014 (2015).
World Economic Forum, AI on track to achieving superintelligence, 2018.3.
Yibiao Zhao, Engineering common sense, Emtech, 2017.11.
You Zheng, The Road of Military-Civil Fusion for Artificial Intelligence Development, 2018.6.
ZDnet, The AI, machine learning, and data science conundrum: Who will manage the algorithms?, 2018.9.
