AI Reports · GovAI (Oxford) · 2026-10-17 · Research paper
Policy Advice and Opinion Towards Publicly Accountable Frontier LLMs November 2023 Research Paper Markus Anderljung, Everett Thornton Smith, Joe O'Brien, Lisa Soder, Benjamin Bucknall, Emma Bluemke, e
As frontier large language models become more deeply integrated into society and the economy, the authors argue that decisions about their training, deployment, and use should not rest solely with developers. They propose external scrutiny through methods such as red-teaming, auditing, and external researcher access. The paper organizes six requirements for effective external scrutiny under the ASPIRE framework and offers recommendations to policymakers.