All Work Published on Privacy, Safety, Security
Stanford scholars respond to a federal RFC on dual use foundation models with widely available model weights, urging policymakers to consider their marginal risks.
Stanford scholars respond to a federal RFC on dual use foundation models with widely available model weights, urging policymakers to consider their marginal risks.
With its AI Continent Action Plan, the EU aims to reinvent its innovation model. European Commission Executive Vice-President for Tech Sovereignty, Security and Democracy Henna Virkkunen outlines its ambition.
With its AI Continent Action Plan, the EU aims to reinvent its innovation model. European Commission Executive Vice-President for Tech Sovereignty, Security and Democracy Henna Virkkunen outlines its ambition.
Rethinking Privacy in the AI Era: Policy Provocations for a Data-Centric World
This white paper explores the current and future impact of privacy and data protection legislation on AI development and provides recommendations for mitigating privacy harms in an AI era.
This white paper explores the current and future impact of privacy and data protection legislation on AI development and provides recommendations for mitigating privacy harms in an AI era.
Stanford HAI Policy Fellow Jennifer King speaks about the data privacy implications of 23andMe's purchase by Regeneron.
Stanford HAI Policy Fellow Jennifer King speaks about the data privacy implications of 23andMe's purchase by Regeneron.
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.
The Evolution of Safety: Stanford’s Mykel Kochenderfer Explores Responsible AI in High-Stakes Environments
As AI technologies rapidly evolve, Professor Kochenderfer leads the charge in developing effective validation mechanisms to ensure safety in autonomous systems like vehicles and drones.
As AI technologies rapidly evolve, Professor Kochenderfer leads the charge in developing effective validation mechanisms to ensure safety in autonomous systems like vehicles and drones.
