Presenting in February at AAAS: Governing AI for Education As Knowledge Commons

The annual meeting of the American Association for the Advancement of Science is in Boston, Feb 13-15. On February 14th at 2:30, I will be presenting on a panel on AI Governance with Professors Jeanne Rubner and Urs Gasser from the Technical University of Munich and Armando Guio from the Global Network of Internet & Society Centers. 

My talk is about how AI national policies emphasize the need for education to empower citizens, users, and workers to harness the benefits of AI-based technologies while mitigating risk. However, when education stakeholders’ incentives are misaligned, it is more challenging to design policy that governs AI-enabled education. This presentation presents an alternative approach, that of governing knowledge commons, and outlines insights from research on stakeholders’ experiences building, applying and adopting educational technologies including AI. 

The overall panel is about the broader movement from AI principles to practice in AI policy

Recent technological advancement such as generative AI have triggered myriads of efforts at the local, national, and international levels aimed at creating guardrails for the development, deployment, and use of AI. Governance initiatives range from bottom-up approaches such as AI ethics principles to top-down approaches like the European Union AI Act or the United States Executive Order on AI, with many shades of gray in between. This session focuses on a seminal capacity challenge that arises from this development: How to translate abstract ethical principles and generic legal norms into actual practices on the ground. Based on firsthand experiences from working with different stakeholders in Europe, Asia, and Latin America, and considering the role and responsibility of academia, speakers will share lessons learned and discuss emerging best practices.