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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
    Applications

  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
         Implications

  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
        References

  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
     Governance
     Algorithm
     Accountability and  Explainability
     Ethics
     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 APSIG-sec@googlegroups.com if you want to subscribe to APSIG-AI mailint list.
     check AI Governance - APSIG.asia 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]

References

   
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