3 essential features of global generative AI governance
To design a governance mechanism for generative AI, we first need to consider countries’ regulatory differences - as well as AI’s open-source and self-generative nature.
Ao Kong has 19 years of international management experience in global strategy, technology for peace and development, and multi-sector partnerships working in the United Nations system, ESG investing, tech industry, and leading think-tanks. She has been a featured speaker and writer at international fora including Milken Global Conference, Harvard Business Review; IEEE, and also serves as leadership and judge for MIT Solve’s Annual Challenge that guide tech-based social entrepreneurs to solve world challenges. She is a New York 92Y Belfer Center Women-in-Power leadership Fellow, and awarded as “Pacific Delegate” by Carnegie Council for Ethics in International Relations.
To design a governance mechanism for generative AI, we first need to consider countries’ regulatory differences - as well as AI’s open-source and self-generative nature.
Autonomous mobile clinics leveraging AI technologies could help enable universal health coverage, as outlined under UN Sustainable Development Goal 3.