9 citations · 24 across the 3 of their papers we have counts for
3 papers
cs.CR2025★ 8 cited
Agentic Misalignment: How LLMs Could Be Insider Threats
Aengus Lynch, Benjamin Wright, Caleb Larson +5
We stress-tested 16 leading models from multiple developers in hypothetical corporate environments to identify potentially risky agentic behaviors before they cause real harm. In t…
cs.CY2025★ 9 cited
Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations
Kunal Handa, Alex Tamkin, Miles McCain +12
Despite widespread speculation about artificial intelligence's impact on the future of work, we lack systematic empirical evidence about how these systems are actually being used f…
cs.CL2025★ 7 cited
Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming
Mrinank Sharma, Meg Tong, Jesse Mu +40
Large language models (LLMs) are vulnerable to universal jailbreaks-prompting strategies that systematically bypass model safeguards and enable users to carry out harmful processes…