Regulating under Uncertainty: Governance Options for Generative AI

470 Pages Posted: 26 Aug 2024 Last revised: 16 Dec 2024

See all articles by Florence G'sell

Florence G'sell

Stanford University; University of Lorraine; Sciences Po School of Public Affairs

Date Written: October 06, 2024

Abstract

The revolution underway in the development of artificial intelligence promises to transform the economy and all social systems. It is difficult to think of an area of life that will not be affected in some way by AI, if the claims of the most ardent of AI cheerleaders prove true.  Although innovation in AI has occurred for many decades, the two years since the release of ChatGPT have been marked by an exponential rise in development and attention to the technology. Unsurprisingly, governmental policy and regulation has lagged behind the fast pace of technological development.  Nevertheless, a wealth of laws, both proposed and enacted, have emerged around the world. The purpose of this report is to canvas and analyze the existing array of proposals for governance of generative AI.

Keywords: Generative AI, AI Regulation, AI Act, LLM, AI Governance

Suggested Citation

G'sell, Florence, Regulating under Uncertainty: Governance Options for Generative AI (October 06, 2024). Available at SSRN: https://ssrn.com/abstract=4918704 or http://dx.doi.org/10.2139/ssrn.4918704

Florence G'sell (Contact Author)

Stanford University ( email )

367 Panama St
Stanford, CA 94305
United States

University of Lorraine ( email )

13 place Carnot
Nancy, 54000
France

HOME PAGE: http://www.gsell.tech

Sciences Po School of Public Affairs ( email )

28 Rue des Saint-Peres
Paris, Paris 75006
France

HOME PAGE: http://https://www.sciencespo.fr/public/chaire-numerique/en/

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
3,064
Abstract Views
6,462
Rank
8,973
PlumX Metrics