We Need Strong Preconditions For Using Simulations In Policy
This work addresses ethical and practical issues for policymakers and developers using simulations, but it is incremental as it builds on existing discussions without introducing new technical methods.
The paper tackles the challenges of using LLM agent simulations in policy, such as dual-use risks and validation difficulties, by proposing three preconditions like avoiding neutral treatment of marginalized populations and ensuring accountability to promote responsible development and use.
Simulations, and more recently LLM agent simulations, have been adopted as useful tools for policymakers to explore interventions, rehearse potential scenarios, and forecast outcomes. While LLM simulations have enormous potential, two critical challenges remain understudied: the dual-use potential of accurate models of individual or population-level human behavior and the difficulty of validating simulation outputs. In light of these limitations, we must define boundaries for both simulation developers and decision-makers to ensure responsible development and ethical use. We propose and discuss three preconditions for societal-scale LLM agent simulations: 1) do not treat simulations of marginalized populations as neutral technical outputs, 2) do not simulate populations without their participation, and 3) do not simulate without accountability. We believe that these guardrails, combined with our call for simulation development and deployment reports, will help build trust among policymakers while promoting responsible development and use of societal-scale LLM agent simulations for the public benefit.