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7.6 Artificial Intelligence (AI)

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)
 
  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
   
   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.
   All-Seeing Eye, Human level AI - Documentary, 2018.
   Article 36, (including autonomous weapons).
   AI4ALL
   AIDC, Opening; Breakthrough Theory, Intel AI, 2018.
   AInepal
   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.  
   Isaac Asimov, Three laws of robots.AIsaturdays. (nepal)
   Anand Murali, Big Eye, 2018.8.
  ASILOMAR AI PRINCIPLES, 2017.   
   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, doyoutrustthiscomputer.org]
   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.
   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.
   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, 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.
   EC, European Commission's on AI, OECD AI Conference, 2017.10.26-27. 
   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.
   FLI, Second AI Safety Grand Round, 2018.8.
   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]
   Shuman Ghosemajumder, Emerging threat of cybercriminal AI, Emtech, 2017.11.8.
   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]
   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 Common 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)
   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.
   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.
   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.
   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, 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) 
   Hiroshi Nakagawa, AI and Society, 2018.3.1. [ppt in Japanese]
   Andrew Ng, AI is new electricity, Stanford, 2017.
   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.
   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
   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]
   Ishiveena Singh, Perfect storm alled AI and geospatial big data, geoawesomeness, 2017.10.
   Stanford AI 100 Report, 2015.
   Tallinn Digital Summit, 2018.10.15-16.
   Mag Tegmark, Life 3.0. [video]
   Tokyo University, AI and Society, 2017.10.10-11.
   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.
   UNESCO, Open Discussion on AI, Paris IGF, 2018.11.
   US DoD, Joint AI Center, 2018.
   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, HOW TO TEACH ARTIFICIAL INTELLIGENCE SOME COMMON SENSE, 2018.11.
   World Economic Forum, AI on track to achieving superintelligence, 2018.3.
   Yibiao Zhao, Engineering common sense, Emtech, 2017.11.