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Found 6 papers, 1 papers with code
Societal Alignment Frameworks Can Improve LLM Alignment
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.
Infrastructure for AI Agents
Given this motivation, we propose the concept of agent infrastructure: technical systems and shared protocols external to agents that are designed to mediate and influence their interactions with and impacts on their environments.
Responsible Reporting for Frontier AI Development
Mitigating the risks from frontier AI systems requires up-to-date and reliable information about those systems.
Regulatory Markets: The Future of AI Governance
Appropriately regulating artificial intelligence is an increasingly urgent policy challenge.
Silly rules improve the capacity of agents to learn stable enforcement and compliance behaviors
How can societies learn to enforce and comply with social norms?
Legible Normativity for AI Alignment: The Value of Silly Rules
It has become commonplace to assert that autonomous agents will have to be built to follow human rules of behavior--social norms and laws.
