19 citations · 19 across the 4 of their papers we have counts for
7 papers
Societal Alignment Frameworks Can Improve LLM Alignment
Karolina StaÅczak, Nicholas Meade, Mehar Bhatia +14
Recent progress in large language models (LLMs) has focused on producing responses that meet human expectations and align with shared values - a process coined alignment. However,…
Talk, Judge, Cooperate: Gossip-Driven Indirect Reciprocity in Self-Interested LLM Agents
Shuhui Zhu, Yue Lin, Shriya Kaistha +5
Indirect reciprocity, which means helping those who have helped others, is difficult to sustain among decentralized, self-interested LLM agents without reliable reputation systems.…
Regulatory Markets: The Future of AI Governance
Gillian K. Hadfield, Jack Clark
Appropriately regulating artificial intelligence is an increasingly urgent and widespread policy challenge. We identify two primary, competing problem. First is a technical deficit…
Legal Infrastructure for Transformative AI Governance
Gillian K. Hadfield
Most of our AI governance efforts focus on substance: what rules do we want in place? What limits or checks do we want to impose on AI development and deployment? But a key role fo…
An Economy of AI Agents
Gillian K. Hadfield, Andrew Koh
In the coming decade, artificially intelligent agents with the ability to plan and execute complex tasks over long time horizons with little direct oversight from humans may be dep…
Regulatory Markets for AI Safety
Jack Clark, Gillian K. Hadfield
We propose a new model for regulation to achieve AI safety: global regulatory markets. We first sketch the model in general terms and provide an overview of the costs and benefits…