标题： NeurIPS 应该在人工智能政策上引领科学共识 显示英文标题

标题： NeurIPS should lead scientific consensus on AI policy

摘要： 设计明智的人工智能政策是社会面临的一个重大挑战。 为了设计这样的政策，政策制定者应重视严谨的证据和科学共识。 虽然存在一些生成证据的机制，且初步的机制正在解决证据综合问题，但我们发现共识形成方面存在完全的空白。 在本文中，我们认为NeurIPS应积极促进人工智能政策的科学共识。 除了识别当前共识形成机制的不足之外，我们认为NeurIPS是最佳选择，因为其具有优势，而有说服力的替代方案却很少。 为了取得进展，我们建议通过提炼IPCC在气候政策上建立科学共识的经验教训，对NeurIPS进行初步试点。 我们澄清了可预见的反驳观点，即人工智能研究人员意见分歧太大，无法达成共识，以及政策参与不是NeurIPS的业务。 NeurIPS在许多方面引领人工智能，它应该倡导科学共识以制定更高质量的人工智能政策。 显示英文摘要

摘要： 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.