Regulating Under Uncertainty: Governance Options for Generative AI

Regulating Under Uncertainty: Governance Options for Generative AI

A new report by Florence G'sell,  visiting professor in the program on the Governance of Emerging Technologies, at the Cyber Policy Center addresses the urgent need for AI regulation. 

abstract image of data swirling

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.

Florence G'sell headshot
Florence G'sell | Visiting Professor, Program on Governance of Emerging Technologies
Author Florence G’sell is a professor of private law at the University of Lorraine and leads the Digital, Governance and Sovereignty Chair at Sciences Po. She is currently a visiting professor in the program on the Governance of Emerging Technologies, at the Cyber Policy Center.
AUTHOR BIO

CHAPTER 1: Introduction | Effective regulation of emerging technologies inevitably presents legislators with a set of difficult choices.

CHAPTER 2: Generative AI: The technology and supply chain | Despite its success and widespread use, the term “generative AI” encompasses sophisticated technology and a complex, often opaque supply chain. 

CHAPTER 3: Challenges and risks of generative AI | All emerging technologies inherently present risks and challenges. Generative AI, while offering significant potential benefits, also harbors the possibility of causing
harm.

CHAPTER 4: Industry initiatives: The increasing public attention and evolving risks associated with generative AI have spurred AI companies to develop practices that mitigate risks while harnessing economic potential. 

CHAPTER 5: Regulatory initiatives: Some regions and countries have chosen to implement robust legal frameworks to regulate artificial intelligence, acknowledging the swift technological advancements and associated risks.

CHAPTER 6: International initiatives and negotiations Countries are not the only entities to establish standards and policies for the responsible governance of artificial intelligence. 

CHAPTER 7: Final conclusions Several significant conclusions arise from this comprehensive analysis.

APPENDICES & SELECTED BIBLIOGRAPHY