意识准备指数：衡量国家应对人工智能意识可能性准备程度的初步框架
The Sentience Readiness Index: A Preliminary Framework for Measuring National Preparedness for the Possibility of Artificial Sentience
AI总结：
本文提出意识准备指数，用于衡量国家应对AI意识可能性的准备程度，发现当前社会在制度、专业和文化基础设施方面不足。
摘要：
对意识的科学研究开始产生关于人工系统的可检验预测。一个里程碑式的协作评估评估了当前的AI架构与六个领先的意识理论，并发现目前没有任何系统被认定为有力的候选者，但未来系统可能会。一种预防性的AI意识方法认为，只要有可信的可能性，即使没有证明，也应采取治理行动。然而，现有的AI准备指数，包括牛津洞察政府AI准备指数、国际货币基金组织AI准备指数和斯坦福AI指数，测量经济、技术和治理准备，但不评估社会是否准备好应对AI系统可能值得道德考虑的可能性。本文介绍了意识准备指数（SRI），一个初步的综合指数，测量31个司法管辖区的国家层面准备程度，涵盖六个加权类别。SRI是按照OECD/JRC复合指标框架构建的，并采用LLM辅助专家评分和迭代专家审核来生成初始数据集。没有司法管辖区超过“部分准备”（英国领先，得分为49/100）。研究环境评分是普遍最强的类别；专业准备是普遍最弱的类别。这些探索性发现表明，如果AI意识成为科学上可能的，目前没有任何国家拥有足够的制度、专业或文化基础设施来应对。作为初步框架，SRI提供了一个初步的诊断基准，并突显了未来方法学改进的领域，包括扩大专家验证、改进测量工具和纵向数据收集。
英文摘要：
The scientific study of consciousness has begun to generate testable predictions about artificial systems. A landmark collaborative assessment evaluated current AI architectures against six leading theories of consciousness and found that none currently qualifies as a strong candidate, but that future systems might. A precautionary approach to AI sentience, which holds that credible possibility of sentience warrants governance action even without proof, has gained philosophical and institutional traction. Yet existing AI readiness indices, including the Oxford Insights Government AI Readiness Index, the IMF AI Preparedness Index, and the Stanford AI Index, measure economic, technological, and governance preparedness without assessing whether societies are prepared for the possibility that AI systems might warrant moral consideration. This paper introduces the Sentience Readiness Index (SRI), a preliminary composite index measuring national-level preparedness across six weighted categories for 31 jurisdictions. The SRI was constructed following the OECD/JRC framework for composite indicators and employs LLM-assisted expert scoring with iterative expert review to generate an initial dataset. No jurisdiction exceeds ``Partially Prepared'' (the United Kingdom leads at 49/100). Research Environment scores are universally the strongest category; Professional Readiness is universally the weakest. These exploratory findings suggest that if AI sentience becomes scientifically plausible, no society currently possesses adequate institutional, professional, or cultural infrastructure to respond. As a preliminary framework, the SRI provides an initial diagnostic baseline and highlights areas for future methodological refinement, including expanded expert validation, improved measurement instruments, and longitudinal data collection.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
