{"id":94140,"topic":"ai","source":"搜狐网","title":"孙笑侠：人工智能风险源于“能、智、事”错配 - 搜狐网","url":"https://m.sohu.com/a/1083161445_128075?scm=10001.325_13-325_13.0.0-0-0-0-0.5_1334","url_hash":"70d15f0a46a540d0fc456eb973e02eb77b9d5ae8","author":"","summary":"<a href=\"https://news.google.com/rss/articles/CBMiiAFBVV95cUxNenNwaGJxbHNIOGZKZGh6NTdxNGNwLUJZaFZFem9rYlhPZy1VMmhySzhnTUk5dEZtdUQ1MnY1Y2VGNDJtdHc3UVl0N1p2X1VURFdNUFdVNkttcXN0eHZObDI3X3lhaUtNa0FSQXVCQ0xhZVc5STdXa2pmLWd2RnRZTDYyUTZidi1Q?oc=5\" target=\"_blank\">孙笑侠：人工智能风险源于“能、智、事”错配</a>&nbsp;&nbsp;<font color=\"#6f6f6f\">搜狐网</font>","content":"孙笑侠：人工智能风险源于“能、智、事”错配\n浙江大学数字法治研究院院长、教授孙笑侠日前在人工智能法律制度研讨会上发布《人工智能法专家建议稿》（浙大1.0版），并作专题报告。他在发言中提出“能—智—事适配”理论，为人工智能立法提供了新的分析框架。\n孙笑侠表示：“人工智能的风险并不来源于机器有多强，而来源于能、智、事三方的错配。”这一判断将讨论焦点从技术能力本身转向技术应用中的匹配关系。在他看来，人工智能的“能”指执行能力，“智”指认知成熟度，“事”指任务性质。三者之间一旦出现错配，风险便随之产生；反之，适配程度越高，风险越可控。\n这一视角与当前人工智能治理讨论中常见的“能力越强、风险越大”的线性逻辑有所不同。孙笑侠强调，要求适配并非简单限制技术发展，而是寻求“能力—认知—任务”的最优匹配，以适配程度高低作为监管的核心尺度。这意味着监管思路需要从对技术指标的静态评估，转向对具体应用场景中动态关系的考察。\n《人工智能法专家建议稿》正是这一理论的具体落地。据悉，建议稿提出分类分级、全生命周期动态调整等机制，试图将“适配”理念转化为可操作的法律工具。分类分级有助于根据应用场景的风险差异配置监管资源，全生命周期动态调整则回应了人工智能技术持续演化的特征——同一产品在不同阶段、不同使用环境中，其“能—智—事”匹配关系可能发生变化，监管也需相应调整。","image_url":"https://q5.itc.cn/q_70/images03/20261001/a9165ff888b94c44a9f4ae4d8acc979c.jpeg","lang":"zh","published_at":"2026-10-01T11:23:00+00:00","fetched_at":"2026-10-01T12:15:07+00:00","status":"read","starred":0,"extract_state":"ok","summary_auto":"孙笑侠：人工智能风险源于“能、智、事”错配\n浙江大学数字法治研究院院长、教授孙笑侠日前在人工智能法律制度研讨会上发布《人工智能法专家建议稿》（浙大1.0版），并作专题报告。他在发言中提出“能—智—事适配”理论，为人工智能立法提供了新的分析框架。\n孙笑侠表示：“人工智能的风险并不来源于机器有多强，而来源于能、智、事三方的错配。”这一判断将讨论焦点从技术能力本身转向技术应用中的匹配关系。在他看来，人工智能的“能”指执行能力，“智”指认知成熟…","cluster_id":null,"extract_retries":0,"extract_error":null,"contract_version":"news_item.v1","format_contract_version":"news_item_formats.v1","dedup_url":"https://m.sohu.com/a/1083161445_128075?scm=10001.325_13-325_13.0.0-0-0-0-0.5_1334","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 576 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":576,"summary_length":221,"usable_text_length":576,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":576,"summary_length":221}},"news_item":{"id":94140,"canonical_url":"https://m.sohu.com/a/1083161445_128075?scm=10001.325_13-325_13.0.0-0-0-0-0.5_1334","source_url":"https://m.sohu.com/a/1083161445_128075?scm=10001.325_13-325_13.0.0-0-0-0-0.5_1334","title":"孙笑侠：人工智能风险源于“能、智、事”错配 - 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