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Regulators investigate GM's Cruise division over incidents involving pedestrians_我的网站

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A | U.S. regulators are investigating General Motors' Cruise autonomous vehicle division after receiving reports of incidents where vehicles may not have used proper caution around pedestrians in roadways.The National Highway Traffic Safety Administration said that the reports involve automated driving system equipped vehicles encroaching on pedestrians present in or entering roadways, including crosswalks. This could raise the risk of a vehicle striking a pedestrian, which could result in severe injury or death, according to the NHTSA. The NHTSA's Office of Defects Investigation said that it's received two reports involving pedestrian injuries from Cruise vehicles. It's also identified two additional incidents from videos posted to public websites. The office said the total number of relevant pedestrian incidents is unknown. It opened an investigation on Monday. “Cruise’s safety record over 5 million miles continues to outperform comparable human drivers at a time when pedestrian injuries and deaths are at an all-time high," Cruise spokesperson Hannah Lindow said in a prepared statement. “Cruise communicates regularly with NHTSA and has consistently cooperated with each of NHTSA’s requests for information –– whether associated with an investigation or not –– and we plan to continue doing so.”The ODI said its investigation is being opened to help determine the scope and severity of the potential problem, including causal factors that may relate to ADS driving policies and performance around pedestrians, and to fully assess the potential safety risks. In August General Motors' Cruise unit agreed to cut its fleet of San Francisco robotaxis in half as authorities investigated two crashes in the city.The state Department of Motor Vehicles asked for the reduction at the time after a Cruise vehicle without a human driver collided with an unspecified emergency vehicle.。 AI将如何助力劳动市场？WAIC上发布的这份报告给出了解答。 2026WAIC（世界人工智能大会）期间，上海科技大学CEISD发布的《AI 时代的中国劳动力市场：从职业消失论到任务重组论》显示，通过2023年底至 2026年4月中国全平台线上完整招聘周期的数据分析，报告扭转了“AI 批量淘汰职业”焦虑叙事。团队研究发现，ChatGPT问世以来，新增线上招聘池超四分之一岗位处于AI高替代敞口，但高替代并不一定意味着高风险，人类互补是重要缓冲。特别值得关注的是，复合型闭环岗位成为就业市场的最大新特征，同期市场约有2100万个岗位由任务重组而生，占总招聘岗位的18.6%。该报告还显示，企业招聘逻辑已发生根本性转变：不再考察单一专业技能，优先筛选能够独立走完需求、执行、校验、汇报完整闭环的求职者。新兴复合职责包具备清晰特质：纯线上标准化文本工作占比大幅降低，高度依赖现场操作、设备实操、风险后果判断，具备强现场、强协同、强责任的复合型人才持续受益。项目首席数据科学家、上科大CEISD客座学者陈沁表示：“过去几年全社会陷入‘职业替代焦虑’，大家盯着职业名称分析，本质是观察尺度错了。

B | 从统计数据角度看，中国有人社部的权威职业分类系统、职业技能标准系统、新职业画像和劳动力市场趋势数据，但缺乏统一尺度和任务级的完整职业系统数据库；学术界以美国O*NET为基准构建了一些数据系统，但并不完全适配中国国情。我们基于线上全量招聘数据搭建的中国版动态 C-O*NET，核心目标就是把研判单位从‘职业名称’下沉到‘可更新的岗位职责’。短期来看，1～3 年入门岗承压是结构性事实，但长期不存在整体性失业危机，市场正在重新筛选‘能驾驭 AI、承担最终责任’的复合型劳动者。” 上海科技大学CEISD主任杨燕青表示，全球范围内的劳动经济学研究，尤其是当下AI经济影响的研究都基于美国O*NET数据系统。“我们打造了中国的动态C-O*NET数据系统，未来会开源开放，希望成为中国经济学研究的数据基座。

C | LLM（大语言模型）对国内劳动力市场的影响主线是任务重组，这从实证层面挑战了亚当·斯密、巴贝奇延续250年的分工理论：过去分工依靠拆分人类任务降低切换成本，而LLM抹平任务切换成本，分工逻辑从‘人与人细分’转向‘人机协同闭环’。未来希望更多的团队加入‘碳硅共生’的经济学分工研究，为打造人工智能时代新的宏观经济政策工具箱提供理论和数据支撑。” (本文来自第一财经)。

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