Data Governance in the Age of Generative AI

The global popularity and use of large language models for generative AI have revealed enforcement problems as well as gaps in the governance of data at the national and international levels. GWU’s Digital Trade and Data Governance Hub and the NIST-NSF Trustworthy AI Institute, along with several partners, are hosting a two-day conference to discuss these issues. At this free, hybrid event, speakers and participants will:

• Identify data governance gaps for large language models (LLMs).

• Propose and discuss solutions for these gaps.

• Promote understanding of data governance as a key component of AI governance.

The conference will feature two days of panel discussions, focusing on how firms acquire data, whether firms choose to make their LLMS open, partially open, or closed to outside review, and the implications of these choices for democracy, human rights, and trust. We will explore new ideas for how to govern the data underpinning generative AI while promoting broader understanding and engagement in the governance of data. Additionally, we will examine the actions governments are taking to bridge data governance gaps. The conference will include consensus-building exercises to attempt to arrive at common policy proposals.

Register now to stay updated on the schedule and discussions.

To learn more about the topics related to the conference, please check out the conference website and our Reading List.

The conference will include computer and data scientists from companies such as Microsoft, Hugging Face, and Eleuther AI; researchers from University of Maryland, Stanford, Princeton, the Distributed AI Research Institute and the AFL-CIO; and policymakers from Germany, the EU, the UK, and the US.

Panels and talks will focus on:

• T he Sources of LLM Data
• The Potential of Synthetic Data for Generative AI
• The Continuum of Closed and Open LLMs and their Implications for Data Governance
• Data Openness and Society
• What are Governments Doing to Close the Data Governance Gaps
• The White House’s Actions to Encourage Trustworthy AI
• Data as a Civics Issue
• New Ideas for Shared Data Governance

For the full schedule, click here.

Conference Contributors:

• Omidyar Network
• National Science Foundation (NSF)
• Indiana University
• Centre for International Governance Innovation (CIGI)
• Bertelsmann Foundation

Additional Conference Partners:

• Open Future
• I ndiana University's Ostrom Workshop
• C onnected by Data
• George Washington University's Institute for International Science and Technology Policy
• I EEE USA
• T he GovLab
• University of Ottawa's AI + Society Initiative
• T he Bridge
• R esponsible AI UK
• U nanimous AI