Approaches to releasing advanced AI capabilities (particularly dual-use systems like language models) in ways that maximize beneficial uses while minimizing misuse potential. Also known as staged release, phased deployment, or capability control.
Strategies
Staged release delays full deployment of larger models while permitting research on smaller variants, allowing time for detection methods, security fixes, and policy development. Partnership models involve providing early access to vetted researchers and organizations to study potential harms. External review and threat modeling identify plausible attack scenarios. Documentation and responsible publication norms establish community expectations.
Key papers
- 2019-solaiman-gpt2-release-strategies — OpenAI's staged release framework for GPT-2 and analysis of its effectiveness
Related topics
- policy, ai-safety, misuse-potential