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How will advanced AI systems impact democracy?
Advanced AI systems capable of generating humanlike text and multimodal content are now widely available.
Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data
Generative, multimodal artificial intelligence (GenAI) offers transformative potential across industries, but its misuse poses significant risks.
STAR: SocioTechnical Approach to Red Teaming Language Models
This research introduces STAR, a sociotechnical framework that improves on current best practices for red teaming safety of large language models.
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
A major challenge facing the world is the provision of equitable and universal access to quality education.
A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI
This has led to growing concerns about harms from AI persuasion and how they can be mitigated, highlighting the need for a systematic study of AI persuasion.
Sociotechnical Safety Evaluation of Generative AI Systems
First, we propose a three-layered framework that takes a structured, sociotechnical approach to evaluating these risks.
Model evaluation for extreme risks
Current approaches to building general-purpose AI systems tend to produce systems with both beneficial and harmful capabilities.
