法律 AI // 资讯总览
需要被持续追踪的
法律 AI 信号。
本期索引按监管、判例、实务与研究归档;可依主题或关键字定位已发布记录。
法律 AI // 资讯总览
本期索引按监管、判例、实务与研究归档;可依主题或关键字定位已发布记录。
原题: Inferential Capability Does Not Determine Legal Scope
涉及法律行业大模型应用、律所与企业法务数智化实践指引。
该论文比较欧盟《人工智能法》和《通用数据保护条例》对“推理”的不同法律功能。《人工智能法》第3条第1款将推理能力作为界定受规制人工智能系统的重要构成要件,用于区分人工智能系统与传统软件;《通用数据保护条例》虽未定义推理,却会因处理个人数据,以及推理结果对个人所作出的描述或产生的影响而提供保护,技术是否属于人工智能系统并非决定条件。论文认为,二者的适用范围并不重合,智能体架构的发展使这一差异更具操作性。文章提出“构成性”与“保护性”两层框架,并将保护性功能分为识别、归属性和决策性三条路径;组合并非独立路径,而是与推理范围、持续性和可复核性共同构成智能体架构的横向维度。针对《欧盟条例(EU)2026/1744》未改变构成性标准、但纳入未来操作输入可能受既有输出影响的规定,论文提出组合性影响测试、决定单元识别及推理链文件记录方案。
展示来源全文,完整内容以原文页面为准。
arXiv:2608.10601v1 Announce Type: new Abstract: Two instruments of EU digital law place inference at their centre and mean different things by it. Article 3(1) of the AI Act uses the capability to infer constitutively: it is the central feature separating the regulated category from conventional software. The GDPR never defines inference, yet governs it protectively: the consequences follow from the processing of personal data and from what the inference says about, or does to, a person, whether or not the technology that produced it qualifies as an AI system. The two perimeters are not concentric. Their non-coincidence remained invisible in single-shot systems; agentic architectures make it operationally acute. The thesis: inferential capability does not determine legal scope, and its absence does not create immunity. The framework is two-level. Inference performs two legal functions, constitutive and protective; the protective function operates through three pathways - identificatory, attributive and decisional. Composition is not a fourth pathway but a cross-cutting architectural dimension which, with reach, persistence and reviewability, is what agentic architectures modify. Three concepts support it: the inferential threshold, the inferential reach and the inferential chain, mapped onto the chain of imputation. Regulation (EU) 2026/1744 left the constitutive criterion untouched and inserted a provision contemplating outputs that influence the inputs of future operations, without supplying any rule of aggregation. The article proposes an interpretive rule, a compositional-effects test identifying the decision unit under Article 22 GDPR together with the allocation of the burden of establishing it, and documentation duties calibrated to inference chains.
文书与研报规范引注
《推理能力不决定人工智能法律边界》(来源: arXiv cs.CY,发布日期: 2026/10/12,访问链接: https://arxiv.org/abs/2608.10601)