A New Proposed Framework

Asian Dialogue on AI Governance - A New Proposed Framework 

The field of AI governance broad, dynamic and emerging. Thus, we recognise the importance of reformulating the initial framework of the Dialogues and its format.

• Format:
• • In light of COVID-19, we will organise webinars instead of roundtables until mid 2021, and the symposium will be postponed to the end of 2021.
  • As outcomes, the Dialogue will deliver academic papers, but also reports based on the webinars’ discussions, podcasts and blog posts. It is intended that the webinar will take different interactive formats, and be designed to generate outputs which will support the individual and collective research missions of participants. Some webinar will offer a more public/community outreach.  Each webinar will be preceded by preparatory discussions with Dialogue participants to ensure maximum participation and mutual benefit in the dialogue method.  Webinar sponsorship will, as often as possible, rotate around Dialogue participants to ensure maximum research synergies.  Webinar topics will be encouraged to address the reformulated dialogue governance challenges.
  • The Dialogues will also introduce a new microsite to engage the public in the AI Governance discussions.  In addition, the microsite will stimulate research interaction among Dialogue participants through the use of a blog feature, and provide a platform for disseminating work in progress by participants.
  • The Dialogues will invite academic participants from Asian countries currently not included as academic partners of the initiative. This will ensure a more inclusive analysis and debate on the challenges of AI governance and will allow the Dialogues to provide a real Asian perspective.  Particular emphasis will be placed on widening the involvement of research colleagues working with current Dialogue participants, and reaching out to researchers in less developed jurisdictions now that the Dialogue format is more amenable for cost-effective communication.

• Challenges to explore:
• • Regulatory architecture of AI Governance
    • From a principles-based approach towards new levels and formats for of regulatory intervention
    • Global conversation, Asian conversation, and inclusion
    • Foreshadowing the benefits/pitfalls of  internal/self (company-centred) vs external AI regulation – what style works best in what context?;
    • AI Governance and the rule of law -  “actionable” regulatory framework for AI Governance and citizen participation
    • Employability of current laws (i.e., tort law, medical law, data law) to regulate AI tech – limitations and new paradigms.
• • AI ethics and trustworthiness
    • Transparency and explainability – breaking open the black-box
    • Fairness (discrimination issues) – sharing processes and outcomes
    • Human interaction with AI. The human-AI interface
    • Human values, human rights and the discussion in Asia
    • Professional responsibility and scientific integrity
    • Ethics attribution and distribution – across the AI eco-system
• • Metrics for AI governance
    • Accountability and acceptability
    • Addressing fear and misperception
    • Risk based approach – risk tolerance, risk aversion
    • Governance failure: liability and consequences
• • Data protection and data privacy
    • Data privacy in Asia and global trends
    • Data protection regimes adapting to/conflicting with AI
      • Data sharing and data portability
      • Open data
      • Data quality
      • Consent – informed/actual/conditional
    • Data produced by AI and data protection
    • Sector-specific regulatory framework to supplement a more general privacy regime
• • Pandemics and living with the new normal
    • Regulatory preparedness
    • Surveillance societies
    • Rights/liberties and social responsibility
    • Vulnerability and inclusion
    • Balancing economic sustainability with health/safety
    • Regional cooperation – lessons to be learned?
    • Human rights and liberties vs Public health
• • AI/big data and the market
    • AI for social good
    • AI creation, property rights and innovation
    • Governing trading in data
    • The future of work in the region