All Work Published on Privacy, Safety, Security
Safety Risks from Customizing Foundation Models via Fine-Tuning
This brief underscores the safety risks inherent in custom fine-tuning of large language models.
This brief underscores the safety risks inherent in custom fine-tuning of large language models.
Elon Musk was forced to put restrictions on X and its AI chatbot, Grok, after its image generator sparked outrage around the world. Grok created non-consensual sexualized images, prompting some countries to ban the bot. Liz Landers discussed Grok's troubles with Riana Pfefferkorn of the Stanford Institute for Human-Centered Artificial Intelligence.
Elon Musk was forced to put restrictions on X and its AI chatbot, Grok, after its image generator sparked outrage around the world. Grok created non-consensual sexualized images, prompting some countries to ban the bot. Liz Landers discussed Grok's troubles with Riana Pfefferkorn of the Stanford Institute for Human-Centered Artificial Intelligence.
Daniel E. Ho's Testimony Before the House Oversight and Accountability Cybersecurity, Information Technology, and Government Innovation Subcommittee
In this testimony presented to the U.S. House Subcommittee on Cybersecurity, Information Technology, and Government Innovation, Daniel E. Ho recommends six AI governance actions including boosting AI talent, establishing a mandated adverse event reporting system, and funding public AI research initiatives.
In this testimony presented to the U.S. House Subcommittee on Cybersecurity, Information Technology, and Government Innovation, Daniel E. Ho recommends six AI governance actions including boosting AI talent, establishing a mandated adverse event reporting system, and funding public AI research initiatives.
Transparency in AI is on the Decline
A new study shows the AI industry is withholding key information.
A new study shows the AI industry is withholding key information.
The Privacy-Bias Trade-Off
This brief examines the “regulatory misalignment” of existing regulatory proposals for AI and urges policymakers to first consider feasibility, trade-offs, and unintended consequences before rushing into regulation.
This brief examines the “regulatory misalignment” of existing regulatory proposals for AI and urges policymakers to first consider feasibility, trade-offs, and unintended consequences before rushing into regulation.
Jennifer King, Policy Fellow at the Stanford HAI who specializes in privacy, discusses vagueness in the TSA’s public communications about what they are doing with facial recognition data.
Jennifer King, Policy Fellow at the Stanford HAI who specializes in privacy, discusses vagueness in the TSA’s public communications about what they are doing with facial recognition data.