建议NeurIPS推动AI政策科学共识，提升政策制定质量。
NeurIPS should lead scientific consensus on AI policy
- 借鉴IPCC模式，在NeurIPS内试点建立AI政策共识形成机制。
- 指出当前缺乏有效共识机制，而NeurIPS具备独特优势。
- 适合关注AI治理、政策制定的研究者与决策者阅读。
制定明智的AI政策是社会面临的重大挑战。为此，政策制定者应重视严谨证据与科学共识。尽管已有证据生成机制，且初步尝试了证据整合，但共识形成机制仍完全缺失。本文主张，NeurIPS应主动推动AI政策的科学共识。除指出当前共识机制的空白外，我们论证了NeurIPS因自身优势及替代选项匮乏，成为最佳选择。为推进进展，建议借鉴IPCC在气候政策中的领导经验，开展初期试点。文章驳回了‘AI研究者分歧过大’和‘政策参与非NeurIPS本职’等常见质疑。NeurIPS已在多个领域引领人工智能发展，理应承担起推动科学共识的责任，以提升AI政策的整体质量。
原文摘要 · Abstract (English)
Designing wise AI policy is a grand challenge for society. To design such policy, policymakers should place a premium on rigorous evidence and scientific consensus. While several mechanisms exist for evidence generation, and nascent mechanisms tackle evidence synthesis, we identify a complete void on consensus formation. In this position paper, we argue NeurIPS should actively catalyze scientific consensus on AI policy. Beyond identifying the current deficit in consensus formation mechanisms, we argue that NeurIPS is the best option due its strengths and the paucity of compelling alternatives. To make progress, we recommend initial pilots for NeurIPS by distilling lessons from the IPCC's leadership to build scientific consensus on climate policy. We dispel predictable counters that AI researchers disagree too much to achieve consensus and that policy engagement is not the business of NeurIPS. NeurIPS leads AI on many fronts, and it should champion scientific consensus to create higher quality AI policy.
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