Should the USG Establish a Publicly Funded AI Option?
Wed, 22 May, 2024
11:00am - 12:00pm
Wednesday, May 22nd
11:00 am - 12:00 pm ET
Virtual
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We are pleased to invite you to a Digital Trade & Data Governance Hub webinar on Wednesday, May 22nd from 11:00 a.m. - 12:00 p.m. ET titled, "Should the USG Establish a Publicly Funded AI Option?
Policymakers from many nations now view AI as a critical technology, essential to both national security and economic progress. The US has invested heavily in AI research and development as well as in AI infrastructure. Moreover, NSF has created the NAIRR a “concept for a national infrastructure that connects U.S. researchers to computational, data, software, model and training resources they need to participate in AI research.” But the US has not funded a public AI model as the UAE did with Falcon or France did with Bloom. Bruce Schneier argued in a recent piece for Foreign Policy that a “publicly funded LLM could serve as an open platform for innovation, helping any small business, nonprofit, or individual entrepreneur to build AI-assisted applications.” Do we need a public option for AI?
This event is co-sponsored by the Digital Trade and Data Governance Hub, the Institute for International Economic Policy, the Institute for International Science and Technology Policy, the Centre for International Governance Innovation, The Bridge, and The Institute for Trustworthy AI in Law & Society (TRAILS).
About the Speakers
- Bruce Schneier: Bruce Schneier is an internationally renowned security technologist. He is the author of over one dozen books—including his latest, A Hacker’s Mind—as well as hundreds of articles, essays, and academic papers. Schneier is a fellow at the Berkman Klein Center for Internet & Society at Harvard University; a Lecturer in Public Policy at the Harvard Kennedy School; a board member of the Electronic Frontier Foundation and AccessNow.
About the Moderator
Hal Daumé III, Director and PI of TRAILS, Director of the AI Interdisciplinary Institute at Maryland, and Professor of Computer Science, University of Maryland. His research focuses on fairness, natural language processing and trustworthy AI.
You can email questions in advance to [email protected] or by using the Q&A function at the bottom of your screen during the webinar. Please note that chats, video, and audio of attendees will be disabled during the event.
Please contact [email protected] with any questions about the webinar or the Hub’s educational efforts. See you soon.
For recordings of the DataGovHub’s earlier webinars, see their YouTube channel. Additionally, we invite you to follow and engage with DataGovHub and IIEP on Twitter: @DataGovHub, @IIEPGW.
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