Does AI Need Governance? Examining the Political Economy of Machine Learning

The Internet Governance Project (IGP) announces its 9th annual workshop, focused on the critical topic of AI governance and its implications for information and communications technology (ICT) policy. This year’s event will bring together a diverse group of thought leaders, researchers, and policymakers in Atlanta on October 17-18 to present and discuss cutting-edge analyses of AI governance issues.

Moving Beyond the “AI Doomer” Discourse

In recent years, the debate around AI has been dominated by a hyperbolic “doomer” narrative, exemplified by Nick Bostrom’s 2014 book “Superintelligence: Paths, Dangers, Strategies.” However, IGP believes it’s time to move the conversation in a more informed and constructive direction. Our workshop will explore what it really means to “govern” machine learning, as “AI” applications are applications of computing power, data, networks and software. When we speak of “governing AI,” are we committing ourselves to governing any and every form of digital information and communications technology? Is the prospect of artificial general intelligence (AGI), which has animated so much of the governance discussion, real? What are the appropriate governance responses?

In his AI Superpowers, Kai-Fu Lee highlighted how the US and China’s competing AI economies led to social transformations and raised the geopolitical stakes. The US government has since sought to militarize AI development through export controls, bans on foreign AI apps like TikTok, and industrial policies. More recently, some have argued we need to “regulate compute” to provide an incumbent advantage for US firms while fulfilling the industrial policy mandates. At the same time, many AI firms are struggling to find their footing having made large investments in AI hardware while serious questions are being asked about overblown AI hype.

Key Themes and Questions

Our workshop will tackle many of these critical issues and questions, including:

  • How can we govern AI while maintaining the free flow of scientific knowledge, open trade in ICT devices and services, and competitive, bottom-up application development in a globalized market?
  • What is the relationship between AI applications and freedom of expression, including issues like propaganda, disinformation, cultural bias, and content “guardrails’?
  • How do we navigate the political economy of data as an input to AI applications, considering property rights, exclusion, fair use, and copyright?
  • How should AI firms weigh the benefits of open source arrangements against data enclosures for a competitive advantage?
  • What are the implications of AI capabilities for privacy and cybersecurity, and how can we ensure effective global or national governance?
  • What can a comprehensive review of global regulatory and industrial policy initiatives in the EU, China, India, the US, and other blocks tell us about AI governance?

Program and Schedule

Thursday October 17

9:00 Welcome and Introductions

  • Karim Farhat, Assistant Director, IGP
  • Cassidy Sugimoto, Tom and Marie Patton Chair, School of Public Policy, Georgia Tech

Session 1: 9:30 – 10:45 am | Situating AI in the wider digital ecosystem: A systems approach to governance

10:45 – 11:00 Break

Session 2: 11:00 – 12:00 pm | Controlling Compute and Models

  • Justin Biddle, Associate Professor, Georgia Tech School of Public Policy, Moderator
  • Andrew Strait, Associate Director, Ada Lovelace Institute
  • Lennart Heim, Associate Information Scientist, RAND Corp
  • Dean Ball, Research Fellow, Mercatus Institute

12:00 – 1:30 pm |­­ Lunch break

Session 3: 1:30 – 2:45 pm | Is AGI a Myth?

Session 4: 3:00 – 4:30 pm | The political economy of data as an input to AI applications: property rights, exclusion, fair use and copyright

  • Brenden Kuerbis, Research Scientist, Ga Tech IGP
  • Deven Desai, Sue and John Staton Professorship in Business Law, Georgia Tech
  • Dr. Mark Riedl, Professor, Georgia Tech School of Interactive Computing and associate director of the Georgia Tech Machine Learning Center
  • Jyoti Panday, , Researcher and Regional Director, Ga Tech IGP

4:30 – 5:15 pm | Guided discussion: Identifying priorities for public policy

Friday October 18

9:00 – 10:15 am | Session 5: Comparative analysis of governance efforts.

  • Andreas Kuehn, Observer Research Foundation America, moderator
  • Karine Perset, Acting Head of the OECD Division on AI and Emerging Digital Technologies, OECD
  • Grace Abuhamad, Tech Policy Strategist, former Chief of Staff NTIA
  • Sarah Box, 2024 New Zealand Harkness Fellow; former Counselor to the directors of the OECD Directorate for Science, Technology and Innovation

Session 6: 10:30 – 11:30 am | The Geopolitics of AI governance

  • John Tien, Former Deputy Secretary of Homeland Security, moderator
  • Jon Lindsay, Associate Professor, GT School of Cybersecurity and Privacy
  • Jason Luo, Postdoctoral Research Fellow, George Washington University
  • Karmen Lucero, Associate Research Scholar and Fellow at the Paul Tsai China Center, Yale Law School

Session 7: 11:30 – 12:30 am | AI applications and freedom of expression: propaganda, disinformation, and content guardrails

  • Brenden Kuerbis, Research Scientist and Seungtae Han, Doctoral student, Ga Tech IGP
  • Clay Calvert, Brechner Eminent Scholar Emeritus, University of Florida Levin College of Law
  • Tarek Naous, Doctoral student, GT School of Computer Science

12:15 – 1:00 pm | Session 8: Guided discussion and next steps

Participate and Engage

Join us to explore the complex relationships between AI, international relations, and governance. We invite you to join us as a participant observer in person by registering for the in-person event, or register for the livestream to watch remotely.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.