Regulating Under Uncertainty: Governance Options for Generative AI
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 have lagged behind the fast pace of technological development.
AI Companions Emerging Evidence Open Questions and Paths Toward Responsible Design
A new report from Stanford's Tech Impact and Policy Center is offering one of the first cross-sector attempts to make sense of a technology moving faster than the research meant to understand it: AI companions.
Balancing Code and Law: Governance and Policy Challenges in Blockchain
A new major report, Balancing Code and Law: Governance and Policy Challenges of Blockchain, offers a nuanced analysis of blockchain technology's relationship with legal and regulatory frameworks.
Japan’s unique strategy – combining regulatory oversight, resource efficiency, and international partnership – offers a potential blueprint for the world. Authored by Charles Mok and Athena Tong for The Diplomat
How to Fix the Online Child Exploitation Reporting System
A new Stanford Internet Observatory report examines how to improve the CyberTipline pipeline from dozens of interviews with tech companies, law enforcement and the nonprofit that runs the U.S. online child abuse reporting system.
Generative artificial intelligence (AI) systems now summarize health-related search results, answer medical questions and offer guidance people once sought from clinicians. These systems bring real benefits, including plain-language explanations of medical information, around-the-clock availability and expanded access for people facing language or literacy barriers. They also carry new risks: inaccurate guidance can harm people at scale, and malicious actors can now generate personalized health misinformation at negligible cost. In this Perspective, we argue that these risks are largely invisible to the institutions responsible for protecting public health. When AI guidance causes harm, no record exists outside the platform, no channel allows users to report it and no independent researcher can measure the consequences. We trace these invisible risks across two settings: incidental exposure online and active seeking through search engines and chatbots. Minimizing harm from AI-generated health information requires making it observable. We therefore offer recommendations that aim to improve transparency, mitigate harm at the point of delivery and assign accountability, ranging from voluntary platform measures to regulatory ones.
A new report from Stanford's Tech Impact and Policy Center is offering one of the first cross-sector attempts to make sense of a technology moving faster than the research meant to understand it: AI companions.
A new report by Florence G'sell, visiting professor in the program on the Governance of Emerging Technologies, offers a nuanced analysis of blockchain technology's relationship with legal and regulatory frameworks.
HAI and Stanford Cyber Policy Center,
August 6, 2024
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.
