Mitigating the risks from frontier AI systems requires up-to-date and reliable information
about those systems. Organizations that develop and deploy frontier systems have …

Increased delegation of commercial, scientific, governmental, and personal activities to AI
agents—systems capable of pursuing complex goals with limited supervision—may …

The rapid and wide-scale adoption of AI to generate human speech poses a range of
significant ethical and safety risks to society that need to be addressed. For example, a …

Large language models (LLMs) require well-crafted prompts for effective use. Prompt
engineering, the process of designing prompts, is challenging, particularly for non-experts …

We articulate fundamental mismatches between technical methods for machine unlearning
in Generative AI, and documented aspirations for broader impact that these methods could …

As AI systems appear to exhibit ever-increasing capability and generality, assessing their
true potential and safety becomes paramount. This paper contends that the prevalent …

The rise of Generative AI (GenAI) brings about transformative potential across sectors, but its
dual-use nature also amplifies risks. Governments globally are grappling with the challenge …