All Work Published on Privacy, Safety, Security
Preparing for the Age of Deepfakes and Disinformation
This brief warns of the dangers of generative adversarial networks that can make realistic deepfakes, calling for comprehensive norms, regulations, and laws to counter AI-driven disinformation.
This brief warns of the dangers of generative adversarial networks that can make realistic deepfakes, calling for comprehensive norms, regulations, and laws to counter AI-driven disinformation.
After 23andMe announced that it’s headed to bankruptcy court, it’s unclear what happens to the mass of sensitive genetic data that it holds. Jen King, Policy Fellow at HAI comments on where this data could end up and be used for.
After 23andMe announced that it’s headed to bankruptcy court, it’s unclear what happens to the mass of sensitive genetic data that it holds. Jen King, Policy Fellow at HAI comments on where this data could end up and be used for.
Domain Shift and Emerging Questions in Facial Recognition Technology
This brief urges transparent, verifiable standards for facial-recognition systems and calls for a moratorium on government use until rigorous in-domain testing frameworks are established.
This brief urges transparent, verifiable standards for facial-recognition systems and calls for a moratorium on government use until rigorous in-domain testing frameworks are established.
Signal Isn’t Infallible, Despite Being One Of The Most Secure Encrypted Chat Apps
HAI Policy Fellow Riana Pfefferkorn explains the different types of risk protection the private messaging app Signal can and cannot offer its users.
HAI Policy Fellow Riana Pfefferkorn explains the different types of risk protection the private messaging app Signal can and cannot offer its users.
Stanford HAI joined global leaders to discuss the balance between AI innovation and safety and explore future policy paths.
Stanford HAI joined global leaders to discuss the balance between AI innovation and safety and explore future policy paths.
Can AI Hold Consistent Values? Stanford Researchers Probe LLM Consistency and Bias
New research tests large language models for consistency across diverse topics, revealing that while they handle neutral topics reliably, controversial issues lead to varied answers.
New research tests large language models for consistency across diverse topics, revealing that while they handle neutral topics reliably, controversial issues lead to varied answers.
