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7.6 Artificial Intelligence Governance

7.6A AI - Introduction 

  Class Outline 
    AI History
    Machine Learning and AI
    Autonomous Systems
    Super Intelligence

  Class Description (AI for Everybody by Andrew Ng; short course(6 hours) from Coursera)
         What is AI?
         Building AI Projects
         Building AI in Your Company
         AI and Society        

  Class Description (Helsinki University, Elements of AI)
         What is AI?
         AI Problem Solving
         Real World AI
         Machine Learning
         Neural Networks

  Class Description (Kilnam Chon, AI: Past and Present; ppt)
        AI Introduction: History
        AI Economy and Industry
        Super Intelligence
        Complex Systems and Narrow AI
        AI Governance
        Future of AI

  Class Video (UC Berkeley CS 188; First Class as AI Introduction)

  Lecture Pool: Kilnam Chon/KAIST

  Lecture Candidates: Jaeseung Jeong/KAIST, Joanna Bryson/Bath, Yudho Giri Sucahyu/Indonesia

7.6B AI Governance 

  Class Outline 

     AI History
     AI Principles
     AI Policies
     Accountability and  Explainability
     Safety and Security 
     Impact: Society and Economy
     General AI and Its Implication

  Class Description (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 (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

  Class Description (Kilnam Chon)

       Internet Governance and Digital Governance

       Is Internet governance scheme applicable to AI governance?

       AI History

       Narrow AI and General AI

       Areas of AI Governance

          Principles, Policy, Social and Economic Impacts

          Algorithm, Accountability and Explainability, Ethics, Security, Safety, Data

          General AI, Existential Risk

  Lecture Pool: Danit Gal, Woodrow Herzog

  Lecture Candidates: Kilnam Chon, Sunyoung Yang, Ema Arisa, Alan Dafoe

    please contact if you want to subscribe to APSIG-AI mailint list.
     check AI Governance - webpage for further information.

AI Conferences

    AAAI                     Annual Conference, since 1980s 
    ACM/AAAI            AI, Ethics and Society, since 2018 (and AAAI Workshop in 2016 and 2017)
    EU                        European AI Alliance, Futurium (many workshops and seminars)
    FLI                        Beneficial AI, 2015, 2017, 2019
    IJCAI                     International Joint Conference of AI (2019-08-10~16, Macao)
    ITU                        AI for Good, since 2017
    KAIST                   Taming AI, 2018
    KIAS                     AI, Ethics, Governance, 2018
    NeurIPS                Montreal, 2018.12.2-8       
    OECD                   AI: Intelligent Machines and Smart Policies, 2017
    SGAI                     International Conference on AI, since 1980s
    SNU                      AI Conference: Governance and Accountability, 2017~
    Tokyo University   AI and Society, 2017
    World Gov Sum    Global Governance of AI and World Government Summit, Dubai, February 2019. [Summary Report]


   AAAI, Spring  Symposium Series, Palo Alot, 2018.3.26-28.
   Acceptable Intelligence with Responsibility (AIR)
   ACM, Special Section on China Region, CACM, November 2018.
   Philippe Aghion, Artificial Intelligence and Economic Growth, 2017.10.
   The Algorithm, Inside China's AI Strategy, MIT Technology Review, 2019.2.8. [us report] [china report] [tsinghua report]
   The Algorithm, 2019.3.8. Darktrace | Antigena White Paper, 2019.3.9.
   The Algorithm, (google vs chin, Turing Award), 2019.3.
   The Algorithm, How the US regulate AI, 2019.4.
   All-Seeing Eye, Human level AI - Documentary, 2018.
   Article 36, (including autonomous weapons).
   AIDC, Opening; Breakthrough Theory, Intel AI, 2018.
   AI and Inclusion, Rio de Janeiro, 2017.6 and 2017.11.
   AI and Society, Tokyo, 2017.10.
   AI Democratization
   AAAI Workshop on AI, Ethics and Society.   [2016], [2017]
   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 Now, Symposium :: AI Now, 2017.
   AI Organization List (from AI and Society)
   AI Today, Seoul National University, Seoul, 2018.8.24.  
   Algorithm, Deep Fake, 2019.10.11.
   Isaac Asimov, Three laws of robots.AIsaturdays. (nepal)
   Anand Murali, Big Eye, 2018.8.
   ASU Origins Project, AI: Who is in control; Part 1, Part 2, 2017
   Gnneieve Bell, Beyond Trolly Problem: Ethics in AI, AIDC 2018, Intel, 2018.6.
   Beneficial  AI Japan, Regional Report on AI Ethics, 2017/2018.
   Berkman Klein Center, Ethics and Governance of AI, Harvard University, 2016.
   Berkman and Klein Center, AI Ethics and Governance.
   BigThink, Here's AI documentary Elon Mask thinks is essential viewing, 2018. [with video,]
   Chris Bishop, Past and future of AI, Royal Institute, 2017.[youtube]
   Bloomberg, Rise of AI, 2018.6
   Bloomberg, Is AI ready for improving comedy, 2018.6. 
   Nick Bostrom, Superintelligence, 2014. AI will be the greatest revolution in the history, 2017. [youtube]
   BSI, Standards on AI.
   Building AI-powered society, greylock partners, 2018.4.
   Erik Brynijolfsson, Second wave of second machine age, Oxford, 2017.4.
   Business of Blockchain 2017, Opening Remark, MIT, 2017.4.18.
   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 AI Newsletter (by Jeffrey Ding).
   Chinese Government, "Vision on AI ascendancy", 2017. (in Chinese) (English translation)
   China Standard Administration, White Paper on AI in China, 2018. [English Translation]
   Francois Chollet, What worries me about AI, Medium, 2018.
   Kilnam Chon, AI: Past and Present, 2018. [ppt], [article]
   Kilnam Chon, AI Governance, 2019. [ppt], [article]
   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.
   Alan Dafoe, AI Strategy, Policy and Governance, Beneficial AI, 2019.
   Alan Dafoe, AI Governance: Research Agenda, Center for Governance on AI, FHI, Oxford University, 2018.
   DARPA, Explainable Artificial Intelligence (XAI) by David Gunning, 2018.
   DARPA, DARPA Perspective on AI, 2018.
   Dawn of Killer Robots, YouTube, 2015.
   DeepMind, AlphaZero, AlphaFold, AlphaGo, Science Article,.... 2018.12.
   EC, European Commission's on AI, OECD AI Conference, 2017.10.26-27. 
   EU, Ethics guidelines for trustworthy AI, 2019.4. (European AI Alliance - Document List)
   EU Agenda 2030.
   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.
   Facebook, Facebook AI, 2018.
   Edward Felton, AI and Explainability: A computer science perspective, 2018.
   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.
   FLI, Lethal Autonomous Weapon Pledge, 2018.8.1
   FLI, Second AI Safety Grand Round, 2018.8.
   FLI, Global AI Policy, 2018.12.
   G7 (ICT) Ministry Meeting, 2016, 2017.
   Ben Gilbert, What is AI Alignment, 2018.
   Glocom, AI and Japan 2017, Innovation Japan, 2018. [in Japanese; Full Report, Summary]
   Google, Translatotron, 2019.5.
   Shuman Ghosemajumder, Emerging threat of cybercriminal AI, Emtech, 2017.11.8.
   Y. Harari, 21 lessons to the 21st century, Google Talk, 2018.  [Book]
   Stephen Hawking, Brief ansers to the big questions, 2018. (Chapter 9. Will AI outsmart us?)
   Woodraw Hartzog, Ethical and accountable AI, 2018.
   Demis Hassabis, Power of Self-learning systems,CBMM, 2019.
   Geoffrey Hinton, Andrew Ng's Interview of Geoggrey Hinton, 2018. [in youtube]
   Helsinki University, Elements of AI, 2018.
   HITE, "Human and AI - Co-development Symposium", 2018.3.14. [in Japanese]
   IBM, PowerAI Vision overview, 2019.
  IEEE Spectrum, Untold history of AI(6 parts), 2019.
   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, 2017.6.7-9.
   ITU, AI for Good, 2018.5.15-17.
   JA Directives, 18 best AI courses, 2018.
   Jaeseung Jeong, Article/Bio. (from WEF) (from Bloomberg) (from Economist)
   Japanese Government (Soumusho), Conference Toward AI Network Society. (also AI R&D Principles), 2017.
   Japanese Government (METI), 2016 White Paper on Information and Communications. [ppt] [article]
   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]
   Michael Jordan, AI: revolution has not happened yet, Medium, 2018.4.
   Jingkwon Jun, Explainable AI: Key to sound governance?, KAIS, 2018.8.24.
   Dongwoo Kim, ai_report_2019, AP Foundation of Canada, 2019.
   Henry Kissinger, How the enlightenment ends, The Atlantic, 2018.6.
   Ray Kurzweil, AGI:Future of Intelligence, MIT, 2018.
   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, AI Superpowers: China, Silicon Valley and New World Order, 2018.8. [Fortune, November 2018], [TED Talk]
   Yann LeCun, Deep Learning and Future of AI, 2018. Power and Limit of Deep Learning, 2017.
   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.
    McKinseyAI problems and promises, 2018.10.ssss
   McKinsey, AI: Implication to China, 2017.
   Medium, Who is going to make money in AI? , 2018.12.(by simon greenman)
   Medium, An Overview of National AI Strategies – Politics + AI – Medium, 2019.2. USA in MIT Algorithm, 2019.2.12.
   Medium, Welcome to Politics + AI – Politics + AI, 2019.2.21. (by Tim Dutton)
   Medium, Do We Need to Dehumanize Artificial Intelligence? (interview with Joanna Bryson), 2019.4.
   Medium, “Brain signals translated into speech using artificial intelligence” published by Giorgia Guglielmi, 2019.5.
   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 Media Lab, AI & Governance Symposium, 2016.
   MIT Media Lab, AI Ethics and Governance Projects.
   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, China wants shape global future of AI , 2018.3.
   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, How Google took on China and lost, 2018.12.
   MIT Technology Review, .... Here are six real AIdangers to watch out, 2019.1.
   MIT Technology Review, Five emerging cyber-threats in 2019, 2019.1.   
    MIT Technology Review, How malevolent machine learning could derail AI, 2019.3.
    MIT Technology Review, SUMMARY-OF-DOD-AI-STRATEGY.PDF, 2019.5.
    MIT Technology Review, Asia AI Agenda, asia ai ethics, 2019.7.11.  [summary]
    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) 
    Don Monroe, AI, Explain Yourself, CACM, November 2018.
    Hiroshi Nakagawa, AI and Society, 2018.3.1. [ppt in Japanese]
    Andrew Ng, AI is new electricity, Stanford, 2017. 
    Andrew Ng, AI for Everybody, Coursera, 2019.
    NHK, Global Agenda: AI * Ethics, 2017.12. [selner vrubgshirdm frabcius cgikketm bart selman, kanaya/araya]
    OECD, Economic and social implication of AI, DSTI/CDEP (2016)17, 2017.2.10. [OECD Conference on AI, Paris, Tokyo,...]
    OECD, Digital Economy Outlook, 2017. ["ensuring transparency and oversight of AI-powered decisions that impact people," p.305 for AI governance.
    Oxford University, AI: American attitudes and trends, Center for Governance on AI Future of Humanity Institute, Oxford Univeristy, 2018.
    A. Penel, Ethics, the new frontier of technology, Medium, 2019.4.23.
    H Rahmana, Good governance is the next big thing in AI, Engadget, 2016.11.23.
    RightsCon, Toronto Declaration on AI, 2018.6.
    Jean-Marc Ricldi, Geneve Center for for Security Policy
    Stuart Russel, 3 principles for making AI safer, 2018.
    Stuart Russell, History and future of AI, AI Channel, 2017.
    Science News, Harvard and MIT opens a course on "AI and Ethics", 2018.2. [in Korean]
    Amnon Shashua, Success and challenges in modern AI, CBMM, MIT, 2019. 
    Stanford University, Human Centered AI, 2018. 
    Steven Strogatz, One giant step for a chess-playing machine, NYT, 2018.12.  Infinite Power, 2019.
    Ishiveena Singh, Perfect storm alled AI and geospatial big data, geoawesomeness, 2017.10.
    Tallinn Digital Summit, 2018.10.15-16.
    Mag Tegmark, Life 3.0. [video]
    Clive Thompson, May AI help you, NYT, 2018.12.
    Clive Thompson, Coders, 2019.5.
    Tokyo University, AI and Society, 2017.10.10-11.
    TowardDataScience, Understanding Generative Adversarial Networks (GANs), 2019.1.
    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.
    UNESCO, Open Discussion on AI, Paris IGF, 2018.11.
    US DoD, Joint AI Center, 2018.
    Web Foundation, Future of technology - AI. [White paper on AI: Road ahead in Low and Middle-Income Countries]
    Web Foundation, How open data save AI, 2018.1.
    Amy Webb, The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity, 2019. [swsx]
    Wired, Inside Amazon's AI Flywheel, 2018.1.
    Wired, How to teach AI some common sense, 2018.11.
    Wired, WIRD25, Kai-Fu Lee and Fei Fei Li, Facial Recognition Has Already Reached Its Breaking Point, 2019.5.
    Who invented backpropagation?, 2014 (2015).
    World Economic Forum, AI on track to achieving superintelligence, 2018.3.
    Yibiao Zhao, Engineering common sense, Emtech, 2017.11.