{"id":64246,"date":"2025-09-05T15:16:52","date_gmt":"2025-09-05T07:16:52","guid":{"rendered":"https:\/\/swarma.org\/?p=64246"},"modified":"2025-09-05T15:16:52","modified_gmt":"2025-09-05T07:16:52","slug":"%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%9c%a8%e4%bc%a0%e6%92%ad%e8%a1%8c%e4%b8%ba%e4%b8%ad%e7%9a%84%e8%ae%a4%e7%9f%a5%e5%8a%a0%e5%b7%a5-%e5%91%a8%e5%85%ad%e7%9b%b4%e6%92%ad%c2%b7aix%e4%bc%a0%e6%92%ad","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=64246","title":{"rendered":"\u5927\u6a21\u578b\u5728\u4f20\u64ad\u884c\u4e3a\u4e2d\u7684\u8ba4\u77e5\u52a0\u5de5 | \u5468\u516d\u76f4\u64ad\u00b7AI\u00d7\u4f20\u64ad\u8bfb\u4e66\u4f1a"},"content":{"rendered":"
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    \u5927\u6a21\u578b\u4ece\u201c\u4fe1\u606f\u751f\u6210\u5de5\u5177\u201d\u5230\u201c\u4f20\u64ad\u8005\u201d\u7684\u89d2\u8272\u8f6c\u53d8<\/span><\/span><\/p>\n<\/li>\n<\/ol>\n


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    1. \n

      Mukherjee, A., & Chang, H. H. (2024). Heuristic reasoning in ai: Instrumental use and mimetic absorption. arXiv preprint arXiv:2403.09404.<\/span><\/span><\/p>\n

      \u63d0\u51faLLM\u5728\u63a8\u7406\u4e2d\u65e2\u4f1a\u5de5\u5177\u6027\u4f7f\u7528\u542f\u53d1\u5f0f\uff0c\u4e5f\u4f1a\u6a21\u4eff\u6027\u5438\u6536\u4eba\u7c7b\u504f\u89c1\uff0c\u63ed\u793a\u7cfb\u7edf1\u52a0\u5de5\u7684\u53cc\u91cd\u6765\u6e90\u3002<\/span><\/span><\/p>\n<\/li>\n

    2. \n

      Acerbi, A., & Stubbersfield, J. M. (2023). Large language models show human-like content biases in transmission chain experiments. Proceedings of the National Academy of Sciences, 120(44), e2313790120.<\/span><\/span><\/p>\n

      \u901a\u8fc7\u4f20\u8f93\u94fe\u5b9e\u9a8c\u53d1\u73b0LLM\u504f\u5411\u4fdd\u7559\u8d1f\u9762\u3001\u523b\u677f\u5370\u8c61\u7b49\u4fe1\u606f\uff0c\u5448\u73b0\u51fa\u7c7b\u4eba\u5185\u5bb9\u504f\u89c1\u3002<\/span><\/span><\/p>\n<\/li>\n

    3. \n

      Chan, S., Pataranutaporn, P., Suri, A., Zulfikar, W., Maes, P., & Loftus, E. F. (2024). Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews. arXiv preprint arXiv:2408.04681.<\/span><\/span><\/p>\n

      LLM\u5f15\u5bfc\u6027\u63d0\u95ee\u53ef\u5728\u8bbf\u8c08\u4e2d\u6fc0\u53d1\u865a\u5047\u8bb0\u5fc6\uff0c\u8868\u73b0\u51fa\u5bf9\u4eba\u7c7b\u8bb0\u5fc6\u52a0\u5de5\u7684\u975e\u7406\u6027\u5e72\u6270\u3002<\/span><\/span><\/p>\n<\/li>\n<\/ol>\n


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      1. \n

        Zhang, J., Dong, R., Wang, H., Ning, X., Geng, H., Li, P., … & Zhang, H. (2025). AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time. arXiv preprint arXiv:2505.24863.<\/span><\/span><\/p>\n

        \u63d0\u51fa\u53ef\u8c03\u63a7LLM\u601d\u7ef4\u901f\u5ea6\u7684\u6a21\u578b\uff0c\u9a8c\u8bc1\u201c\u5148\u6162\u540e\u5feb\u201d\u7b56\u7565\u4f18\u4e8e\u4f20\u7edf\u63a8\u7406\u8def\u5f84\u3002<\/span><\/span><\/p>\n<\/li>\n

      2. \n

        Hagendorff, T. (2024). Deception abilities emerged in large language models. Proceedings of the National Academy of Sciences, 121(24), e2317967121.<\/span><\/span><\/p>\n

        LLM\u5728\u201c\u9519\u8bef\u4fe1\u5ff5\u4efb\u52a1\u201d\u4e2d\u8868\u73b0\u51fa\u7406\u89e3\u4ed6\u4eba\u610f\u56fe\u4e0e\u4e3b\u52a8\u6b3a\u9a97\u7684\u80fd\u529b\uff0c\u63ed\u793a\u5176\u9690\u542b\u793e\u4f1a\u6027\u63a8\u7406\u80fd\u529b\u3002<\/span><\/span><\/p>\n<\/li>\n

      3. \n

        Costello, T. H., Pennycook, G., & Rand, D. G. (2024). Durably reducing conspiracy beliefs through dialogues with AI. Science, 385(6714), eadq1814.<\/span><\/span><\/p>\n

        AI\u901a\u8fc7\u4e0e\u7528\u6237\u8fdb\u884c\u4e2a\u6027\u5316\u3001\u53cd\u601d\u6027\u5bf9\u8bdd\uff0c\u6709\u6548\u964d\u4f4e\u9634\u8c0b\u8bba\u4fe1\u5ff5\uff0c\u5c55\u73b0\u7cfb\u7edf2\u9a71\u52a8\u7684\u4fe1\u5ff5\u4fee\u6b63\u4f5c\u7528\u3002<\/span><\/span><\/p>\n<\/li>\n<\/ol>\n


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        \u53c2\u4e0e\u65f6\u95f4\uff1a<\/span><\/span><\/strong>2025\u5e749\u67086\u65e5\uff08\u5468\u516d\uff0910:00-12:00 \u5317\u4eac\u65f6\u95f4<\/span><\/span><\/span><\/span><\/span><\/p>\n

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        \u62a5\u540d\u94fe\u63a5\uff1ahttps:\/\/pattern.swarma.org\/study_group\/67?from=wechat<\/span><\/span><\/span><\/p>\n


        <\/span><\/p>\n

        \u626b\u7801\u53c2\u4e0e<\/span>AI\u00d7\u4f20\u64ad\u8bfb\u4e66\u4f1a\u793e\u533a<\/span><\/a>\uff0c\u52a0\u5165\u7fa4\u804a\uff0c\u83b7\u53d6\u7cfb\u5217\u8bfb\u4e66\u4f1a\u56de\u770b\u6743\u9650\uff0c\u52a0\u5165AI\u00d7\u4f20\u64ad\u793e\u533a\uff0c\u4e0e\u793e\u533a\u7684\u4e00\u7ebf\u79d1\u7814\u5de5\u4f5c\u8005\u6c9f\u901a\u4ea4\u6d41\uff0c\u5171\u540c\u63a2\u7d22AI\u4e0e\u4f20\u64ad\u7684\u524d\u6cbf\u4ea4\u53c9\uff0c\u6765\u6df1\u5ea6\u7406\u89e3\u4f20\u64ad\u673a\u5236\u548c\u4f20\u64ad\u751f\u6001\u3002<\/span><\/span><\/p>\n


        <\/span><\/p>\n

        \u89c6\u9891\u53f7\u76f4\u64ad\u9884\u7ea6\uff1a<\/span><\/span><\/p>\n

        <\/section>\n
        \n

        <\/span><\/span><\/span><\/span><\/strong><\/span><\/section>\n
        \n

        <\/span><\/span><\/span><\/strong><\/section>\n<\/section>\n
        \n
        \n
        \n
        \n

        AI\u00d7\u4f20\u64ad\u8bfb\u4e66\u4f1a<\/span><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


        <\/span><\/span><\/span><\/strong><\/span><\/section>\n

        \u5728AI\u5feb\u901f\u53d1\u5c55\u7684\u5f53\u4e0b\uff0cAI\u4e0d\u4ec5\u6df1\u523b\u5f71\u54cd\u7740\u4fe1\u606f\u4f20\u64ad\u7684\u65b9\u5f0f\uff0c\u4e5f\u4e3a\u4f20\u64ad\u5b66\u7814\u7a76\u5e26\u6765\u4e86\u5168\u65b0\u89c6\u89d2\u548c\u65b9\u6cd5\u3002\u57fa\u4e8e\u6b64\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u5317\u4eac\u5e08\u8303\u5927\u5b66\u8bb8\u5c0f\u53ef\u6559\u6388\u3001\u6d59\u6c5f\u5927\u5b66\u5f20\u5b50\u67ef\u6559\u6388\u3001\u5357\u4eac\u5927\u5b66\u738b\u6210\u519b\u6559\u6388\u3001\u6df1\u5733\u5927\u5b66\u5ed6\u597d\u526f\u6559\u6388\u5171\u540c\u53d1\u8d77<\/span>\u201cAI\u00d7\u4f20\u64ad\u201d\u8bfb\u4e66\u4f1a<\/span><\/a>\uff0c\u4ece\u8ba1\u7b97\u53d9\u4e8b\u3001\u667a\u80fd\u4f20\u64ad\u3001\u4eba\u673a\u4f20\u64ad\u4e0e\u4f20\u64ad\u4eff\u771f\u56db\u4e2a\u677f\u5757\u5411\u6765\u5171\u540c\u63a2\u7d22AI\u4e0e\u4f20\u64ad\u7684\u524d\u6cbf\u4ea4\u53c9\uff0c\u6765\u6df1\u5ea6\u7406\u89e3\u4f20\u64ad\u673a\u5236\u548c\u4f20\u64ad\u751f\u6001\u3002\u8bfb\u4e66\u4f1a\u81ea8\u670823\u65e5\u8d77\uff0c\u6bcf\u5468\u516d10:00-12:00\u4e3e\u884c\uff0c\u9884\u8ba1\u6301\u7eed12\u5468\u3002<\/span><\/span><\/p>\n

        \n
        \n
        \n
        \n
        \n
        \n
        \n

        <\/span><\/section>\n<\/section>\n
        \n
        \n
        \n
        \n

        \u6211\u4eec\u5c06\u63a2\u8ba8\u5982\u4e0b\u6838\u5fc3\u95ee\u9898\uff1a<\/span><\/span><\/span><\/p>\n

          \n
        1. \n

          \u5728\u4eba\u673a\u5171\u540c\u53c2\u4e0e\u7684\u53d9\u4e8b\u751f\u6001\u4e2d\uff0c\u53d9\u4e8b\u7684\u751f\u4ea7\u3001\u4f20\u64ad\u4e0e\u63a5\u53d7\u673a\u5236\u53d1\u751f\u4e86\u54ea\u4e9b\u6839\u672c\u6027\u53d8\u5316\uff1f<\/span><\/span><\/p>\n<\/li>\n

        2. \n

          \u5728\u590d\u6742\u793e\u4ea4\u7f51\u7edc\u73af\u5883\u4e2d\uff0c\u5982\u4f55\u6784\u5efa\u667a\u80fd\u5316\u7684\u4fe1\u606f\u53ef\u4fe1\u5ea6\u8bc4\u4f30\u4e0e\u865a\u5047\u4fe1\u606f\u9632\u63a7\u673a\u5236\uff1f<\/span><\/span><\/p>\n<\/li>\n

        3. \n

          \u5982\u4f55\u8fd0\u7528\u6df1\u5ea6\u5b66\u4e60\u548c\u5f3a\u5316\u5b66\u4e60\u7b49\u667a\u80fd\u65b9\u6cd5\uff0c\u5b9e\u73b0\u4ece\u4e2a\u4f53\u5230\u7fa4\u4f53\u7684\u7cbe\u51c6\u5316\u4f20\u64ad\u5f71\u54cd\u529b\u6700\u5927\u5316\uff1f<\/span><\/span><\/p>\n<\/li>\n

        4. \n

          \u5982\u4f55\u6784\u5efa\u9002\u5e94\u4eba\u673a\u6df7\u5408\u4f20\u64ad\u7f51\u7edc\u7279\u5f81\u7684\u65b0\u578b\u7814\u7a76\u8303\u5f0f\uff0c\u4ee5\u6709\u6548\u89e3\u6790\u673a\u5668\u884c\u4e3a\u89c4\u5f8b\u548c\u4eba\u673a\u534f\u540c\u4f20\u64ad\u673a\u5236\uff1f<\/span><\/span><\/p>\n<\/li>\n

        5. \n

          \u5982\u4f55\u6784\u5efa\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u8ba4\u77e5\u9a71\u52a8\u578b\u667a\u80fd\u4f53\u4eff\u771f\u7cfb\u7edf\uff1f<\/span><\/span><\/p>\n<\/li>\n<\/ol>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


          <\/span><\/section>\n<\/section>\n<\/section>\n


          <\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

          \n
          \n
          \n


          <\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

          \"\u56fe\u7247\"<\/span><\/a><\/section>\n
          \n
          \n

          <\/span><\/span><\/section>\n
          \u8be6\u60c5\u8bf7\u89c1\uff1a\u5f53\u673a\u5668\u6210\u4e3a\u4e3b\u4f53\uff0c\u4f20\u64ad\u5b66\u8981\u5982\u4f55\u5e94\u5bf9\uff1f| AI\u00d7\u4f20\u64ad\u8bfb\u4e66\u4f1a\u53d1\u5e03<\/a><\/span><\/span><\/section>\n


          <\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

          <\/span><\/section>\n
          \u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/span><\/section>\n<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

          \u5bfc\u8bed \u5728AI\u5feb\u901f\u53d1\u5c55\u7684\u5f53\u4e0b\uff0cAI\u4e0d\u4ec5\u6df1\u523b\u5f71\u54cd\u7740\u4fe1\u606f\u4f20\u64ad\u7684\u65b9\u5f0f\uff0c\u4e5f\u4e3a\u4f20\u64ad\u5b66\u7814\u7a76\u5e26\u6765\u4e86\u5168\u65b0\u89c6\u89d2\u548c\u65b9\u6cd5\u3002\u57fa\u4e8e\u6b64\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u5317\u4eac\u5e08\u8303\u5927\u5b66\u8bb8\u5c0f\u53ef\u6559\u6388\u3001\u6d59\u6c5f\u5927\u5b66\u5f20\u5b50\u67ef\u6559\u6388\u3001\u5357\u4eac\u5927\u5b66\u738b\u6210\u519b\u6559\u6388\u3001\u6df1\u5733\u5927\u5b66\u5ed6\u597d\u526f\u6559\u6388\u5171\u540c\u53d1\u8d77\u201cAI\u00d7\u4f20\u64ad\u201d\u8bfb\u4e66\u4f1a\uff0c\u4ece\u8ba1\u7b97\u53d9\u4e8b\u3001\u667a\u80fd\u4f20\u64ad\u3001\u4eba\u673a\u4f20\u64ad\u4e0e\u4f20\u64ad\u4eff\u771f\u56db\u4e2a\u677f\u5757\u5411\u6765\u5171\u540c\u63a2\u7d22AI\u4e0e\u4f20…<\/p>\n","protected":false},"author":0,"featured_media":64235,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/64246"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=64246"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/64246\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/64235"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=64246"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=64246"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=64246"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=64246"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}