Privacy, Safety, Security
As AI use grows, how can we safeguard privacy, security, and data protection for individuals and organizations?
The state's Delete Act was supposed to give Californians a one-stop-shop to request their online information be deleted. But only a minority of registered data brokers are abiding by those laws, says Jennifer King, privacy and data policy fellow at the Stanford University Institute for Human-Centered AI.
The state's Delete Act was supposed to give Californians a one-stop-shop to request their online information be deleted. But only a minority of registered data brokers are abiding by those laws, says Jennifer King, privacy and data policy fellow at the Stanford University Institute for Human-Centered AI.
A key promise of machine learning is the ability to assist users with personal tasks.
A key promise of machine learning is the ability to assist users with personal tasks.
Designing Loyalty: AI Agents and Conflicts of Interest
This brief examines the conflict-of-interest risks posed by AI agents and calls for imposing a duty of loyalty on developers and deployers.
This brief examines the conflict-of-interest risks posed by AI agents and calls for imposing a duty of loyalty on developers and deployers.
Companies That Buy and Sell Your Data Are Not Following California’s Strict Privacy Laws
A new Stanford study shows data brokers are making it difficult for consumers to submit privacy requests and failing to report how many privacy requests they receive.
A new Stanford study shows data brokers are making it difficult for consumers to submit privacy requests and failing to report how many privacy requests they receive.
Regulating Data Brokers in the Age of AI: A California Case Study
This brief assesses data broker compliance with California privacy laws and calls for more stringent consumer protections.
This brief assesses data broker compliance with California privacy laws and calls for more stringent consumer protections.
All Work Published on Privacy, Safety, Security
Open-Weight Models Aren’t Enough. We Need Truly Open Source AI Models for Science and Society.
As Chinese AI closes the capability gap, Washington and Silicon Valley debate open-weight models. Stanford HAI's James Landay says it's the right conversation framed the wrong way.
As Chinese AI closes the capability gap, Washington and Silicon Valley debate open-weight models. Stanford HAI's James Landay says it's the right conversation framed the wrong way.
Data Privacy and Foundation Models: Can We Have Both?
This brief examines the privacy risks foundation models pose to individuals and society, and governance mechanisms needed to address them.
This brief examines the privacy risks foundation models pose to individuals and society, and governance mechanisms needed to address them.
Amy Zegart
The Complexities of Governing Mental Health AI
Policymakers, academics, healthcare providers, AI developers, and patient advocates convened by Stanford HAI identify critical gaps in how we regulate AI tools used for therapy and emotional support.
Policymakers, academics, healthcare providers, AI developers, and patient advocates convened by Stanford HAI identify critical gaps in how we regulate AI tools used for therapy and emotional support.
Jen King's Testimony Before the U.S. House Committee on Energy and Commerce Oversight and Investigations Subcommittee
In this testimony presented to the U.S. House Committee on Energy and Commerce’s Subcommittee on Oversights and Investigations hearing titled “Innovation with Integrity: Examining the Risks and Benefits of AI Chatbots,” Jen King shares insights on data privacy concerns connected with the use of chatbots. She highlights opportunities for congressional action to protect chatbot users from related harms.
In this testimony presented to the U.S. House Committee on Energy and Commerce’s Subcommittee on Oversights and Investigations hearing titled “Innovation with Integrity: Examining the Risks and Benefits of AI Chatbots,” Jen King shares insights on data privacy concerns connected with the use of chatbots. She highlights opportunities for congressional action to protect chatbot users from related harms.
With increased use of chatbots in mental health contexts, AI developers now rely on human experts to evaluate AI’s responses for “safety” – but experts rarely agree on what’s safe.
With increased use of chatbots in mental health contexts, AI developers now rely on human experts to evaluate AI’s responses for “safety” – but experts rarely agree on what’s safe.
