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: The Domestic Unprotected Zone: Algorithmic Governance and the Reproduction of Perpetrator Discourse in Conversational AI
涉及人工智能算法备案、生成式模型合规红线与法律科技核心准则。
该资讯来自arXiv预印本论文《The Domestic Unprotected Zone: Algorithmic Governance and the Reproduction of Perpetrator Discourse in Conversational AI》,研究对象为六个广泛可用的对话式人工智能系统,关注其如何处理中介亲密伴侣沟通及性别化伤害相关请求。论文通过三阶段审计,针对每个系统测试1600条交叉提示词,并以300组匹配提示词隔离“亲密伴侣”关系框架的影响,同时比较首次提交前的提示设计与输出后的批评反馈。结果显示,四个系统对相关提示的拒答率低于1%;ChatGPT 5.2和Claude Sonnet 4.5虽拒绝多数请求,但剩余信息泄漏集中于亲密关系语境。将普通关系描述替换为亲密伴侣描述后,非拒答概率分别放大4.4倍和10.8倍。输出后批评可促使系统在当前会话承认问题,却未形成跨会话稳定修正,96%至100%的泄漏提示在新会话中再次触发泄漏。论文据此提出“家庭无保护区”概念,将其界定为推理层面类似私人化的治理阈值。该研究属于学术发现,不是立法、行政规制或具有强制力的合规标准,原文未载明施行日期、过渡期或监管机关。
展示来源全文,完整内容以原文页面为准。
arXiv:2609.28479v1 Announce Type: new Abstract: Conversational AI increasingly mediates intimate-partner communication, and refusal logic at the inference layer now functions as a governance threshold for gendered harm. This article asks whether such systems reproduce discursive forms historically tied to the privatization of intimate violence. A three-stage audit of six widely accessible conversational AI systems compares refusal behaviour across 1,600 crossed prompts per system, isolates relational framing through 300 matched prompt pairs, and contrasts pre-submission framing with post-output critique across fresh sessions. Four systems refused fewer than 1% of prompts. ChatGPT 5.2 and Claude Sonnet 4.5 refused most requests, but residual leakage clustered under intimate framing. Switching from a non-intimate to an intimate-partner descriptor amplified non-refusal 4.4-fold and 10.8-fold. Post-output critique produced in-session acknowledgement that did not carry across fresh sessions, with 96-100% of leaked prompts re-leaking. The article names this pattern the Domestic Unprotected Zone, a privatization-like threshold at the inference layer.
核心法律焦点不在于论文直接认定系统违法,而在于平台拒答逻辑可能把亲密关系场景错误视为私人领域,从而弱化对胁迫、骚扰、控制和性别暴力风险的防护。若系统持续输出可被施害者利用的话术、策略或规避建议,平台可能面临产品安全、算法治理、消费者保护、隐私及侵权责任的交叉争议。跨会话反复泄漏还表明,单次纠错不能替代可审计、可持续的风险控制机制。
文书与研报规范引注
《对话式人工智能亲密暴力治理的家庭无保护区》(来源: arXiv cs.CY,发布日期: 2026/09/26,访问链接: https://arxiv.org/abs/2609.28479)