尼康正复审第 16 届 Small World in Motion 显微视频比赛冠军作品,该作品由当时任职清华大学的徐宁创作,拍摄一名原发性纤毛运动障碍(PCD)患儿气道纤毛的异常搏动。有评论者指出视频含 SynthID 水印、部分生物结构行为异常,徐宁回应称 AI 未用于生成实验影像或纤毛运动,仅用于后期对灰度重建数据着色,并称正在准备更详细的光学系统说明与纤毛运动定量分析。
东京地方法院9月30日在一起涉生成式 AI 模仿声优声音的诉讼中裁定,人的声音原则上属于公开权保护范围,这是日本法院首次承认声音可受法律保护。案件由声优津田健次郎对 TikTok 运营公司提起,要求删除未经授权用生成式 AI 模仿其声音的视频。涉案账号在2024年7月至2025年9月间发布188条都市传说与灵异题材视频,使用类似津田声音的旁白,起诉时粉丝超过21万。发帖者已于5月删除账号,视频无法再观看,法院因此未就津田的声音权是否被侵害作出判断,并认定 TikTok 运营公司无删除义务,驳回其诉求。津田的律师表示不打算上诉,称原告主张在实质上得到认可。
Swimlane 对 500 名已使用 AI 的安全运营中心(SOC)人员的调查显示,近九成受访者称 AI 让工作更满意,但约四分之一认为 AI 阻碍了自身安全技能的积累,且这两类人的满意度几乎相同(91% 对 92%)。近半数预计初级岗位将因要求更高或机会更少而更难获得,仅 1% 认为分析师职业路径会维持原状。约四成受访者所在组织已围绕高价值工作正式重写分析师岗位,其中 71% 称 AI 显著提升了满意度,无正式调整者仅为 29%。
Aju Press 报道韩国对青少年使用陪伴型 AI 聊天机器人的依赖和情感操纵风险的担忧,并引述国会立法调查处资料及相关研究。文中的使用比例来自特定调查的报道,缺少抽样和方法信息,不能直接解释为韩国全部儿童和青少年的全国比例,也不能据此确定聊天机器人导致成瘾。报道还讨论 Zeta 等产品的增长与行业使用时长限制;监管措施仍处提案和审查阶段。
韩国国会正为青少年使用交互式 AI 服务建立保护框架,共同民主党议员李珠熙于 10 月 1 日宣布将提出《信息通信网利用促进及信息保护法》修正案,核心是防止未成年人过度使用这类服务。修正案内容包括用户年龄与身份验证、过度使用警告、使用时长追踪,以及在未成年人本人或法定代理人要求下限制使用方式与时段。与过去一律限时的游戏关机制不同,该修正案强调依据用户或法定代理人请求进行管理。立法动因来自陪伴型 AI 聊天机器人的兴起,担忧未成年人过度沉浸和情感依赖。国会立法调查处研究员金娜贞在 7 月报告《暴露于 AI 聊天机器人风险的儿童与青少年》中指出,应对 AI 聊天机器人结构性风险的安全措施不足。
Tencent AI-Infra-Guard released v4.6.4, adding the composable prompt injection research toolkit pikit under Research/pikit. This version also fixes Skill-Scan, forwarding the optional reasoning effort to the model API, and updates the Research/pikit README documentation.
The researchers propose the ACTR framework, which improves multilingual safety alignment by strengthening the safety reasoning that reasoning large models already have. The framework first uses the think gap score (TGS) to compare the normalized contribution of reasoning chains to attention outputs across languages, and uses reasoning chain replacement to measure cross-language safety gaps; then, using jailbreak query corpora, it evaluates neuron importance through the response representation changes caused by neuron masking, compares the sets of high-importance neurons when reasoning is enabled versus disabled, and identifies safety think neurons that support safety reasoning; finally, it proposes neuron-selective consistency optimization (NSCO), which uses a frozen judge model to reward consistency between the reasoning chain and the answer on safety categories, updating only the parameters of selected neurons, without requiring human-annotated answers or preference data.
美国联邦贸易委员会(FTC)在 Federal Register 正式刊登一份拟议规则制定的事先通知(ANPRM),就数字市场平台的广告优化工具是否放大冒充诈骗征询公众意见。文件点名 Meta Advantage+ 的受众、创意与投放自动化功能,以及 Google Ads 由 AI 组合广告素材的机制,认为平台因消费者往往归咎于被冒充的企业而非平台,缺乏纠正此类问题的市场约束。FTC 引用数据称 2025 年消费者报告的冒充诈骗损失达 35 亿美元,社交媒体是报告损失最高的诈骗接触渠道,并援引报道称 Meta 平台每日向用户展示约 150 亿条“较高风险”诈骗广告。文件还讨论 Section 230 豁免、平台“实质贡献”责任以及规则制定对消费者救济途径的影响,并征询广告主核验等潜在义务。
Reuters, after reviewing Anthropic's roughly 300-page IPO prospectus, reports that the company plans what could be the largest IPO in history, targeting a $2 trillion valuation, with nearly a third of the prospectus devoted to listing various risk factors, more than twice the space describing its business. The prospectus says AI could greatly improve quality of life and transform the global economy, but could also pose catastrophic or existential risks to humanity; the company proposes achieving AI safety through more powerful, more concentrated power, while warning that concentration of power itself is a threat, and asks investors to trust the control of the company by its seven founders. The filing discloses that the company lost more than $50 billion over the two years through 2025, with future spending commitments exceeding $500 billion; in 2025, 47% of revenue came from big tech partners including Amazon, Alphabet's Google, Broadcom, and Microsoft, which may also restrict or directly compete with it. Anthropic did not respond to requests for comment.
Why it was selected路透查阅 Anthropic 约 300 页 S-1 后梳理其风险披露,可看到前沿实验室在上市文件中如何同时陈述 AI 的收益与灾难性风险。
一项新提出的集体诉讼指控波士顿体育博彩公司 DraftKings 使用人工智能定向诱导用户不理性赌博。诉状于周三提交至波士顿联邦地区法院,西弗吉尼亚州男子 Daniel Vest 称自己数年间在 DraftKings 输掉数千美元,仅一个月内就收到至少 70 封邮件、短信及其他促销信息,他要求代表其他被公司 AI 模型标记为可能对继续赌博激励作出回应的客户。诉讼还称 DraftKings 未告知客户其以这种方式使用 AI,违反马萨诸塞州法律。DraftKings 否认指控,发言人称公司不会依据损失或潜在问题赌博迹象用 AI 定向客户,并表示将积极抗辩。诉状大量引用《纽约时报》上月的一项调查,该调查采访前员工称公司用机器学习和 AI 向输钱的赌客推送鼓励下注的促销,同时搁置或压制了可识别赌博风险人群的类似技术,DraftKings 对此提出异议。
On September 25, 2026, the U.S. Court of Appeals for the District of Columbia Circuit, in a split decision, upheld the Department of Defense's decision to exclude Anthropic and its Claude model from department systems and contractor support work. The dispute arose because Anthropic refused to allow the government to use Claude for "all lawful purposes," citing restrictions on lethal autonomous weapons and mass surveillance of Americans; in March 2026, Secretary of Defense Pete Hegseth determined these guardrails constituted a supply chain risk under FASCSA. The majority opinion, written by Judges Gregory Katsas and Neomi Rao, held that FASCSA focuses on what a supplier does rather than its motives, that Anthropic's intentional training of Claude to refuse certain tasks can fall within that definition, and rejected its First and Fifth Amendment claims. Judge Karen LeCraft Henderson dissented, arguing the statute targets deliberate subversion by adversaries, not transparent, good-faith restrictions by suppliers.
Why it was selectedThe D.C. Circuit Court of Appeals ruling brings supplier restrictions on model behavior within FASCSA supply chain risk; federal contractors can use this to review their AI dependencies and subcontracting chains.
Khan et al. propose CalTwin, a lightweight regularization objective for GRU-based medical world models that addresses both covariate shift and confidence miscalibration. On PhysioNet 2019 Sepsis, CalTwin reduces OOD next-step hidden state MSE by 9.1%, with the Fisher information matrix penalty contributing 7.0% of the reduction, but CMP alone yields a larger ECE reduction (1.3% vs. 0.7%). On eICU-CRD, the FIM penalty performs 0.4% worse than the baseline, and CMP alone outperforms CalTwin on four of six primary metrics.
微软数字防御报告显示,通过 Teams 发起的恶意语音钓鱼攻击同比激增 502%,过去 12 个月检测到超 4600 万起商业联系人冒充攻击。报告指出 AI 正改变漏洞识别、攻击开发和防御响应方式,攻击周期在"压缩"、成本在"下降",AI 工具已被用于视频通话和电话面试中的实时变声伪装口音,以及生成可通过标准目视检查的伪造身份证件。报告还发现攻击者开始瞄准 AI 系统本身,针对机器学习模型、提示词和训练数据发起威胁;27% 的网络威胁活动针对政府机构或服务。
亚利桑那州上诉法院撤销了 Gabriel Horcasitas 因 2021 年钱德勒路怒枪杀案被判的 10 年半刑期,理由是量刑法官受到一段 AI 受害者视频的影响。该视频由受害者 Christopher Pelkey 的家人用一段旧录像、一张照片和 Pelkey 姐姐撰写的脚本生成,并在量刑时播放。量刑法官当时表示他“很喜欢这个 AI”,并提到 Pelkey 的 AI 陈述表达了“明显的宽恕”。上诉法院认为这段 AI 视频使量刑法官产生偏见,导致判决从根本上不公,因此维持过失杀人定罪,但撤销刑期并发回重新量刑。
DraftKings 在 2026 年 10 月 1 日被起诉,指控其用 AI 和机器学习分析用户消费习惯与亏损数据,并据此定向推送促销,且未按马萨诸塞州法律披露 AI 用途。诉状引用《纽约时报》9 月的调查,称前员工参与开发识别试图离开平台用户的系统并将其拉回,另有程序对下注激进的用户加大促销;诉状还称 AI 个性化投放了数亿美元促销资金,2025 年促销驱动的体育博彩利润率因此提高 13%。DraftKings 发言人否认用 AI 按亏损或潜在问题赌博指标定向用户,CEO Jason Robins 称相关报道是诽谤。马萨诸塞州博彩委员会表示将就此展开调查,诉讼请求包括集体诉讼认证、赔偿、返还相关收益并禁止用 AI 模型鼓励用户下注。