{"id":4522,"date":"2017-07-23T01:00:00","date_gmt":"2017-07-22T17:00:00","guid":{"rendered":"http:\/\/swarma.org\/%swarma-paper%\/"},"modified":"2018-12-11T14:48:03","modified_gmt":"2018-12-11T06:48:03","slug":"%e9%9b%86%e6%99%baaipolicy%e7%a0%94%e8%ae%a8%e4%bc%9a%ef%bc%9a%e4%b8%ad%e5%9b%bd%e7%a7%91%e5%ad%a6%e5%ae%b6%e5%9b%bd%e9%99%85%e5%9c%b0%e4%bd%8d%e4%b8%8a%e5%8d%87","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=4522","title":{"rendered":"\u96c6\u667aAI&Policy\u7814\u8ba8\u4f1a\uff1a\u4e2d\u56fd\u79d1\u5b66\u5bb6\u56fd\u9645\u5730\u4f4d\u4e0a\u5347"},"content":{"rendered":"
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\"\u96c6\u667a\"<\/p>\n

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\u6587\u7ae0\u6765\u6e90\uff1aXtecher<\/span><\/strong><\/span>
<\/span><\/p>\n

\u4f5c\u8005\uff1a\u90ed\u5b9d\u5a77<\/strong><\/span><\/span><\/p>\n<\/blockquote>\n

\u7531\u51ef\u98ce\u57fa\u91d1\u4f1a\u3001\u96c6\u667a\u4ff1\u4e50\u90e8\u3001\u7f8e\u56fd\u829d\u52a0\u54e5\u5927\u5b66\u793e\u4f1a\u5b66\u7cfbKnowledge Lab\u3001\u6e05\u534e\u5927\u5b66\u79d1\u6280\u653f\u7b56\u7814\u7a76\u4e2d\u5fc3\u3001\u817e\u8baf\u7814\u7a76\u9662\u8054\u5408\u4e3e\u529e\u7684\u201c\u4eba\u5de5\u667a\u80fd\u4e0e\u516c\u5171\u653f\u7b56\u7814\u8ba8\u4f1a\u201d\uff08AI and Public Policy: Frontiers in AI and Applications\uff09\u4e8e7\u670822\u65e5-23\u65e5\u4e3e\u884c\u3002\u7814\u8ba8\u4f1a\u8bf7\u5230\u56fd\u9645\u77e5\u540d\u5b66\u8005\u548c\u4e1a\u5185\u4eba\u58eb\uff0c\u8ba8\u8bba\u4eba\u5de5\u667a\u80fd\u4e0e\u516c\u5171\u653f\u7b56\u7684\u53d1\u5c55\u8d8b\u52bf\uff0c\u7279\u522b\u5173\u6ce8\u79d1\u6280\u653f\u7b56\u8bae\u9898\u3002<\/span><\/p>\n

7\u670822\u65e5\u4e0a\u5348\uff0c\u4f1a\u8bae\u8bf7\u5230\u4e09\u4f4d\u8be5\u9886\u57df\u77e5\u540d\u6559\u6388\u8fdb\u884c\u4e3b\u9898\u6f14\u8bb2\u3002\u672c\u6587\u4e3aXtecher\u8bb0\u8005\u90ed\u5b9d\u5a77\u4ece\u73b0\u573a\u53d1\u56de\u7684\u4e3b\u9898\u6f14\u8bb2\u5185\u5bb9\u6458\u8981\u3002<\/span><\/p>\n

\u6e05\u534e\u6559\u6388\u859b\u6f9c\uff1a\u4e2d\u56fd\u79d1\u5b66\u5bb6\u56fd\u9645\u5730\u4f4d\u4e0a\u5347<\/span><\/strong><\/span><\/p>\n

\"\u96c6\u667a\"<\/p>\n

\u6e05\u534e\u5927\u5b66\u516c\u5171\u7ba1\u7406\u5b66\u9662\u859b\u6f9c\u6559\u6388<\/span><\/strong><\/span><\/p>\n

\u6e05\u534e\u5927\u5b66\u516c\u5171\u7ba1\u7406\u5b66\u9662\u859b\u6f9c\u6559\u6388\u7684\u7814\u7a76\u9886\u57df\u4e3a\u4e2d\u56fd\u79d1\u6280\u653f\u7b56\u3001\u5371\u673a\u7ba1\u7406\u3002\u4ed6\u5728\u4f1a\u4e0a\u4ecb\u7ecd\u4e86\u4e0e\u4e0a\u6d77\u4ea4\u5927\u9752\u5e74\u5b66\u8005\u53f2\u51ac\u6ce2\u5408\u4f5c\u7684\u8bba\u6587\u3002<\/span><\/p>\n

\u859b\u6559\u6388\u6307\u51fa\uff0c\u5728\u79d1\u6280\u9886\u57df\uff0c\u4ece1990\u5e74\u4ee3\u5f00\u59cb\uff0c\u56fd\u5bb6\u5bf9\u79d1\u6280\u5b66\u672f\u7814\u7a76\u6709\u6301\u7eed\u589e\u957f\u7684\u8d44\u91d1\u8d44\u52a9\uff0c\u5728\u57fa\u7840\u7814\u7a76\u4e0a\u7684\u652f\u6301\u8ddf\u4e0a\u4e86\u7814\u53d1\u7ecf\u8d39\u589e\u957f\u7684\u901f\u5ea6\u3002\u859b\u6559\u6388\u4e0e\u53f2\u535a\u58eb\u7684\u7814\u7a76\u6570\u636e\u8868\u660e\uff0c\u4e2d\u56fd\u5728\u7814\u53d1\uff08Research and Development\uff09\u652f\u51fa\u603b\u989d\u5df2\u7ecf\u8fbe\u5230\u4e16\u754c\u7b2c\u4e8c\uff0c\u5360GDP\u6bd4\u91cd\u5df2\u7ecf\u8ffd\u4e0a\u6b27\u6d32\uff0c\u4f46\u4ecd\u4f4e\u4e8e\u7f8e\u56fd\u30022000\u5e74\u540e\uff0c\u4e2d\u56fd\u7684\u6d3b\u8dc3\u79d1\u5b66\u5bb6\u4eba\u6570\u589e\u957f\u5f88\u5feb\uff0c\u5230\u73b0\u5728\u4e3a\u6b62\u7684\u4e0d\u5230\u4e8c\u5341\u5e74\u65f6\u95f4\u589e\u957f\u4e86\u8fd14\u500d\u30022004\u5e74\u8d77\uff0c\u4e2d\u56fd\u5df2\u6210\u4e3a\u7f8e\u56fd\u4e4b\u540e\u7684\u7b2c\u4e8c\u5927\u8bba\u6587\u53d1\u8868\u56fd\u3002\u4e2d\u56fd\u5728\u56fd\u9645\u5408\u4f5c\u5b66\u672f\u7814\u7a76\u4e2d\u626e\u6f14\u7740\u66f4\u91cd\u8981\u7684\u89d2\u8272\uff0c\u7b2c\u4e00\u4f5c\u8005\u4e3a\u4e2d\u56fd\u79d1\u5b66\u5bb6\u7684\u9ad8\u6c34\u5e73\u8bba\u6587\u4e5f\u5927\u91cf\u589e\u957f\u3002<\/span><\/p>\n

\u859b\u6559\u6388\u6307\u51fa\uff0c\u79cd\u79cd\u6570\u636e\u8868\u660e\u4e2d\u56fd\u79d1\u5b66\u5bb6\u5728\u56fd\u9645\u79d1\u7814\u5b66\u672f\u9886\u57df\u5730\u4f4d\u6301\u7eed\u63d0\u9ad8\uff0c\u4f46\u76ee\u524d\u4e5f\u6709\u4e00\u4e9b\u95ee\u9898\uff0c\u4e9f\u9700\u540e\u7eed\u7814\u7a76\u6765\u8ba8\u8bba\u3002\u4f8b\u5982\uff0c\u76f8\u6bd4\u4e8e\u53d1\u8fbe\u56fd\u5bb6\uff0c\u4e2d\u56fd\u53ca\u5176\u5b83\u53d1\u5c55\u4e2d\u56fd\u5bb6\u7684\u79d1\u5b66\u5bb6\u7814\u7a76\u7b56\u7565\u4e0a\u662f\u5426\u4e0e\u53d1\u8fbe\u56fd\u5bb6\u7684\u79d1\u5b66\u5bb6\u6709\u6240\u5dee\u522b\uff0c\u4f1a\u5728\u65b0\u5174\u3001\u524d\u6cbf\u9886\u57df\u53d1\u8868\u66f4\u591a\u8bba\u6587\uff0c\u8fd8\u662f\u5728\u4f20\u7edf\u79d1\u5b66\u9886\u57df\u53d1\u8868\u5f97\u66f4\u591a\u8bba\u6587\uff1f\u968f\u7740\u4e2d\u56fd\u79d1\u5b66\u7814\u7a76\u7684\u53d1\u5c55\uff0c\u5bf9\u56fd\u9645\u79d1\u5b66\u5b66\u672f\u683c\u5c40\u548c\u79d1\u5b66\u53d1\u5c55\u6709\u4f55\u5f71\u54cd\uff1f\u5bf9\u4e8e\u6bcd\u8bed\u4e0d\u662f\u82f1\u8bed\u7684\u56fd\u5bb6\uff0c\u5982\u4f55\u5728\u672c\u571f\u63a8\u5e7f\u672c\u56fd\u5b66\u8005\u7684\u56fd\u9645\u5b66\u672f\u6210\u679c\uff1f <\/span><\/p>\n

\u829d\u5927\u6559\u6388James Evans\uff1a\u79d1\u5b66\u5982\u4f55\u601d\u8003<\/span><\/strong><\/span><\/p>\n

\"\u96c6\u667a\"<\/p>\n

\u7f8e\u56fd\u829d\u52a0\u54e5\u5927\u5b66\u793e\u4f1a\u5b66\u7cfb\u3001Knowledge Lab\u6559\u6388James Evans<\/span><\/strong><\/span><\/p>\n

\u7f8e\u56fd\u829d\u52a0\u54e5\u5927\u5b66\u793e\u4f1a\u5b66\u7cfb\u3001Knowledge Lab\u6559\u6388James Evans\u662f\u79d1\u5b66\u8ba1\u91cf\u3001\u590d\u6742\u7f51\u7edc\u3001\u77e5\u8bc6\u793e\u4f1a\u5b66\u7684\u77e5\u540d\u5b66\u8005\u3002\u4ed6\u5728\u4f1a\u4e0a\u5206\u4eab\u4e86\u4ed6\u7684\u7814\u7a76\u6210\u679c\uff0c\u4e3b\u9898\u4e3a\u201c\u79d1\u5b66\u5982\u4f55\u601d\u8003\u201d\uff08How Science Think\uff09\uff0c\u4ed6\u5c06\u79d1\u5b66\u89c6\u4e3a\u4e00\u4e2a\u590d\u6742\u7cfb\u7edf\uff08complex system\uff09\uff0c\u5e76\u5efa\u7acb\u4e86\u6570\u5b66\u6a21\u578b\u89e3\u91ca\u79d1\u5b66\u7814\u7a76\u5982\u4f55\u5728\u8fdb\u6b65\u3002<\/span><\/p>\n

Evans\u6559\u6388\u8ba4\u4e3a\uff0c\u79d1\u5b66\u4f5c\u4e3a\u590d\u6742\u7cfb\u7edf\uff0c\u6709\u591a\u6837\u7684\u6210\u5206\uff0c\u5404\u4e2a\u6210\u5206\u95f4\u6709\u7d27\u5bc6\u7684\u4e92\u52a8\uff0c\u5c55\u73b0\u51fa\u81ea\u7136\u53d1\u751f\u7684\u3001\u610f\u5916\u7684\u96c6\u4f53\u884c\u4e3a\uff0c\u4e14\u5177\u6709\u4e0d\u540c\u5c42\u6b21\u3002\u79d1\u5b66\u7684\u53d1\u5c55\u548c\u6301\u7eed\uff0c\u6765\u81ea\u4e8e\u5bf9\u73b0\u6709\u7814\u7a76\u6210\u679c\u4e2d\u6210\u5206\u7684\u91cd\u7ec4\u3002Evans\u63d0\u51fa\u4e24\u4e2a\u6982\u5ff5\uff1aContent\uff08\u5185\u5bb9\uff09\u4e0eContext\uff08\u8bed\u5883\uff09\uff0cContent\u6307\u8bba\u6587\u4e2d\u6709\u79d1\u6280\u9769\u65b0\u610f\u4e49\u7684\u5b9e\u8d28\u5185\u5bb9\uff0cContext\u6307\u73b0\u6709\u7684\u5b66\u672f\u7814\u7a76\u63d0\u4f9b\u7684\u8bed\u5883\u3002\u79d1\u5b66\u201c\u8fdb\u5316\u201d\u7684\u8fc7\u7a0b\uff0c\u5c31\u662fcontent\u4e0econtext\u6df7\u5408\u7684\u8fc7\u7a0b\u3002<\/span><\/p>\n

Evans\u63d0\u51fa\u7684\u6570\u5b66\u6a21\u578b\uff0c\u5c06\u6bcf\u4e09\u7bc7\u8bba\u6587\u7f16\u8fdb\u4e00\u4e2a\u6a21\u7ec4\uff08block\uff09\uff0c\u901a\u8fc7\u4e00\u5b9a\u6307\u6807\u5efa\u7acb\u8d77\u516c\u5f0f\u8ba1\u7b97\u8bba\u6587\u7684\u503e\u5411\u6027\uff08propensity\uff09\uff0c\u7814\u7a76\u4ec0\u4e48\u6837\u7684\u8bba\u6587\u6709\u7a33\u5065\u578b\uff08robustness\uff09\u548c\u4e00\u822c\u5316\u7684\u6f5c\u8d28\u3002Evans\u5f97\u51fa\u7ed3\u8bba\uff0c\u79d1\u5b66\u201c\u601d\u8003\u201d\u7684\u65b9\u5f0f\uff0c\u662f\u8d1d\u53f6\u65af\u5f0f\u7684\uff0c\u5c55\u73b0\u51fa\u81ea\u6211\u7ea0\u6b63\u7684\u673a\u5236\u3002\u8bba\u6587\u4e2d\u7684\u6a21\u7cca\u3001\u6df1\u5965\u6027\uff08ambiguity\uff09\u4f1a\u5438\u5f15\u66f4\u591a\u6ce8\u610f\uff0c\u5e76\u53d1\u5c55\u51fa\u66f4\u591a\u5206\u679d\uff0c\u56e0\u6b64\u4e0d\u5e94\u8be5\u8981\u6c42\u7edd\u5bf9\u7684\u5177\u4f53\uff08precision\uff09\u3002<\/span><\/p>\n

\u7814\u7a76\u7ed3\u679c\u5bf9\u653f\u7b56\u6709\u6307\u5bfc\u4f5c\u7528\uff0cEvans\u8ba4\u4e3a\uff0c\u4e3a\u4e86\u8ba9\u653f\u7b56\u9f13\u52b1\u521b\u65b0\u3001\u6709\u6548\u7684\u7814\u7a76\uff0c\u5e94\u8be5\u53bb\u8d44\u52a9\u66f4\u5c0f\u578b\u7684\u56e2\u961f\uff0c\u4f7f\u4ed6\u4eec\u7ef4\u751f\u7684\u9700\u6c42\u4e0d\u5f71\u54cd\u5230\u79d1\u7814\u751f\u4ea7\u529b\uff1b\u5e94\u8be5\u8d44\u52a9\u4eba\u624d\uff0c\u800c\u975e\u9879\u76ee\uff1b\u5bf9\u4e8e\u6210\u529f\u7387\u4f4e\u3001\u6709\u98ce\u9669\u7684\u9879\u76ee\uff0c\u5e94\u8be5\u964d\u4f4e\u58c1\u5792\uff0c\u8ba9\u4eba\u4eec\u591a\u591a\u53bb\u6295\u8d44\u4ed6\u4eec\u3002<\/span><\/p>\n

\u7f8e\u56fd\u897f\u5317\u5927\u5b66\u738b\u5927\u987a\uff1a\u6210\u529f\u53ef\u4ee5\u9884\u6d4b<\/span><\/strong><\/span><\/p>\n

\"\u96c6\u667a\"<\/p>\n

\u7f8e\u56fd\u897f\u5317\u5927\u5b66\u51ef\u6d1b\u683c\u5546\u5b66\u9662\u3001\u590d\u6742\u7cfb\u7edf\u7814\u7a76\u4e2d\u5fc3\u738b\u5927\u987a<\/span><\/strong><\/span><\/p>\n

\u7f8e\u56fd\u897f\u5317\u5927\u5b66\u51ef\u6d1b\u683c\u5546\u5b66\u9662\u3001\u590d\u6742\u7cfb\u7edf\u7814\u7a76\u4e2d\u5fc3\uff08Northwestern Institution on Complex Systems\uff09\u7684\u738b\u5927\u987a\u6559\u6388\u4ece\u5929\u6c14\u9884\u62a5\u5f15\u5165\uff0c\u5f3a\u8c03\u9884\u6d4b\u4fe1\u53f7\uff08Predictive Signals\uff09\u7684\u91cd\u8981\u6027\u3002<\/span><\/p>\n

\u5bf9\u4e8e\u4f20\u7edf\u8ba4\u4e3a\u65e0\u6cd5\u9884\u6d4b\u7684\u7cfb\u7edf\uff0c\u5982\u8bba\u6587\u53d1\u8868\u540e\u6709\u591a\u5c11\u5f15\u7528\u6570\uff0c\u5230\u5e95\u6709\u529e\u6cd5\u9884\u6d4b\u5417\uff1f\u5176\u5b9e\u6709\u4e09\u4e2a\u5f71\u54cd\u56e0\u5b50\uff1a\u4f18\u5148\u8fde\u63a5\uff08preferential attachment\uff09\u3001\u65f6\u6548\uff08aging\uff09\u3001\u672c\u8d28\u521b\u65b0\u6027\uff08Intrinsic Novelty\uff09\u3002\u901a\u8fc7\u7ed3\u5408\u8fd9\u4e09\u4e2a\u56e0\u5b50\uff0c\u53ef\u4ee5\u5f97\u5230\u4e00\u4e2a\u201ci\u201d\uff0c\u5373\u8fd9\u4e2a\u8bba\u6587\u88ab\u5f15\u7528\u7684\u6982\u7387\u3002\u8fd9\u4e09\u4e2a\u56e0\u5b50\u5bf9\u5e94\u7684\u662f\u8bba\u6587\u7684\u4e09\u4e2a\u65b9\u9762\uff1afitness\uff08\u5408\u4e0d\u5408\u9002\uff09\u3001immediacy\uff08\u591a\u5feb\u53ef\u4ee5\u88ab\u5f15\u7528\uff09\u3001longevity\uff08\u53ef\u4ee5\u6301\u7eed\u591a\u4e45\uff09\u3002<\/span><\/p>\n

\u4ece\u6b64\u6a21\u578b\u51fa\u53d1\uff0c\u738b\u6559\u6388\u7814\u7a76\u4e86\u79d1\u5b66\u5bb6\u4e2a\u4eba\u7684\u6210\u529f\u6709\u6ca1\u6709\u6a21\u5f0f\u53ef\u5faa\u3002\u7ecf\u8fc7\u7edf\u8ba1\u79d1\u5b66\u5bb6\u53d1\u8868\u8bba\u6587\u7684\u6570\u636e\u3001\u65f6\u95f4\u70b9\uff0c\u53d1\u73b0\u4ed6\u4eec\u4e8b\u4e1a\u7684\u9ad8\u5cf0\u53ef\u80fd\u53d1\u751f\u5728\u4efb\u4f55\u65f6\u95f4\u70b9\uff0c\u53ef\u80fd\u662f\u9891\u7e41\u53d1\u8868\u7684\u65f6\u671f\uff0c\u4e5f\u53ef\u80fd\u662f\u4e0d\u9891\u7e41\u7684\u65f6\u671f\uff0c\u6240\u4ee5\u79d1\u5b66\u5bb6\u4e00\u5b9a\u8981\u575a\u6301\u53d1\u8868\u3002\u5f53\u6709\u7a81\u7834\u6027\u4f5c\u54c1\u53d1\u8868\u540e\uff0c\u4f1a\u4ea7\u751f\u9a6c\u592a\u6548\u5e94\uff0c\u9996\u6b21\u6210\u529f\u4f1a\u5e26\u6765\u66f4\u591a\u7684\u6210\u529f\u3002<\/span><\/p>\n

\u901a\u8fc7\u8ba1\u7b973480\u4f4d\u827a\u672f\u5bb6\u30016233\u4f4d\u5bfc\u6f14\u300120400\u4f4d\u79d1\u5b66\u5bb6\u6700\u6709\u7a81\u7834\u6027\u7684\u4f5c\u54c1\u9762\u4e16\u65f6\u95f4\u70b9\u7684\u6570\u636e\uff0c\u53d1\u73b0\u6700\u597d\u7684\u4f5c\u54c1\u51fa\u73b0\u65f6\u95f4\u662f\u968f\u673a\u7684\uff0c\u4f46\u4e00\u65e6\u51fa\u73b0\uff0c\u4e2a\u4ebatop 3\u4f5c\u54c1\u51fa\u73b0\u7684\u65f6\u95f4\u4fbf\u6709\u89c4\u5f8b\u53ef\u5faa\u3002\u8fd9\u662f\u9002\u7528\u4e8e\u5404\u4e2a\u9886\u57df\u7684\uff0c\u56e0\u6b64\u5fc5\u987b\u8981\u8d81\u70ed\u6253\u94c1\uff0c\u73cd\u60dc\u521b\u4f5c\u9ad8\u5cf0\u671f\uff08hot hand period\uff09\u3002\u901a\u8fc7\u8fd9\u79cd\u9884\u6d4b\u65b9\u5f0f\uff0c\u738b\u6559\u6388\u8ba4\u4e3a\uff0c\u6210\u529f\u7387\u6216\u8bb8\u4e0d\u80fd\u76f4\u63a5\u63d0\u9ad8\uff0c\u4f46\u80fd\u627e\u5230\u6210\u529f\u80cc\u540e\u7684\u673a\u7406\u548c\u89c4\u5f8b\u3002<\/span><\/p>\n

\"\u96c6\u667a\"<\/p>\n

\u96c6\u667a\u4ff1\u4e50\u90e8AI&Public Policy<\/span><\/strong><\/span><\/p>\n

\u96c6\u667a\u4ff1\u4e50\u90e8\u57287\u670822\u65e5\u4e0b\u5348\u7ee7\u7eed\u8fdb\u884c\u4e86\u201c\u5927\u6570\u636e\u4e0e\u79d1\u5b66\u7684\u79d1\u5b66\u201d\u3001\u201cAI\uff0c\u5b66\u4e60\uff0c\u4e0e\u516c\u5171\u653f\u7b56\u201d\u7684\u8ba8\u8bba\uff0c\u6709\u6765\u81ea\u6e05\u534e\u5927\u5b66\u3001\u9999\u6e2f\u5927\u5b66\u3001\u829d\u52a0\u54e5\u5927\u5b66\u3001\u666e\u6797\u65af\u987f\u5927\u5b66\u7b49\u591a\u6240\u9876\u5c16\u5927\u5b66\u7684\u5b66\u8005\u53c2\u4e0e\u62a5\u544a\u6700\u65b0\u7814\u7a76\u6210\u679c\uff0c\u5c55\u793a\u4e86\u7cbe\u5f69\u7684\u8de8\u5b66\u79d1\u7814\u7a76\u65b9\u6cd5\u30027\u670823\u65e5\u7684\u7814\u8ba8\u4f1a\u5c06\u4ece\u66f4\u52a0\u5b9e\u4e1a\u7684\u89d2\u5ea6\u63a2\u8ba8\u8fd9\u4e00\u8bae\u9898\uff0c\u5c06\u4f1a\u7531Momenta\u8054\u5408\u521b\u59cb\u4eba\u3001\u7814\u53d1\u603b\u76d1\u590f\u708e\uff0c\u5f69\u4e91\u5929\u6c14\u521b\u59cb\u4eba\u3001CEO\u8881\u884c\u8fdc\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u521b\u59cb\u4eba\u5f20\u6c5f\u7b49\u77e5\u540d\u4e1a\u5185\u4eba\u58eb\u53d1\u8868\u4e3b\u9898\u6f14\u8bb2\u3002\uff08\u70b9\u51fb\u9605\u8bfb\u539f\u6587\u83b7\u53d6\u539f\u6587\u94fe\u63a5\u3002\uff09<\/span><\/p>\n

\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/span><\/p>\n

\u8bfb\u300a\u673a\u5668\u5d1b\u8d77\u300b: \u4eba\u4e0e\u673a\u5668\u7684\u5171\u751f\u4e0e\u878d\u5408 | \u5f20\u6c5f<\/a>
<\/span><\/p>\n

AI\u6539\u53d8\u4e86\u79d1\u5b66\u2014\u2014\u300a\u79d1\u5b66\u300b\u6700\u65b0AI\u7279\u520a | \u524d\u6cbf<\/a>
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\u4eba\u5de5\u667a\u80fd\u793e\u4f1a\u5b66\uff0d\u672a\u6765\u7684\u65b0\u5174\u5b66\u79d1\uff1f<\/a>
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\u4ece\u4e07\u7269\u6709\u7075\u5230AI\u638c\u7ba1\u4e16\u754c<\/a>
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\u900f\u89c6\u6df1\u5ea6\u5b66\u4e60\uff0c\u7545\u60f3\u672a\u6765\u5e94\u7528<\/a>
<\/span><\/p>\n

\u63ea\u7740\u81ea\u5df1\u7684\u5934\u53d1\u79bb\u5f00\u5730\u7403<\/a><\/span><\/p>\n


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\"\u96c6\u667a\"<\/p>\n

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\u96c6\u667aQQ\u7fa4\uff5c292641157
\u5546\u52a1\u5408\u4f5c\uff5czhangqian@swarma.org
\u6295\u7a3f\u8f6c\u8f7d\uff5cwangting@swarma.org<\/span><\/strong><\/p>\n

\n

\u25c6 <\/span>\u25c6 <\/span>\u25c6<\/span><\/span><\/strong><\/strong><\/h1>\n<\/section>\n

\u641c\u7d22\u516c\u4f17\u53f7\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/strong><\/span><\/p>\n


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\u52a0\u5165\u201c\u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240\u201d<\/span><\/strong><\/span><\/p>\n

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\"\u96c6\u667a\"<\/p>\n<\/section>\n

\u8ba9\u82f9\u679c\u7838\u5f97\u66f4\u731b\u70c8\u4e9b\u5427\uff01<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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\u59cb\u53d1\u4e8e\u5fae\u4fe1\u516c\u4f17\u53f7\uff1a \u96c6\u667a\u4ff1\u4e50\u90e8 <\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u6587\u7ae0\u6765\u6e90\uff1aXtecher \u4f5c\u8005\uff1a\u90ed\u5b9d\u5a77 \u7531\u51ef\u98ce\u57fa\u91d1\u4f1a\u3001\u96c6\u667a\u4ff1\u4e50\u90e8\u3001\u7f8e\u56fd\u829d\u52a0\u54e5\u5927\u5b66\u793e\u4f1a\u5b66\u7cfbKnowledge Lab\u3001\u6e05\u534e\u5927\u5b66\u79d1\u6280\u653f\u7b56\u7814\u7a76\u4e2d\u5fc3\u3001\u817e\u8baf\u7814\u7a76\u9662\u8054\u5408\u4e3e\u529e\u7684\u201c\u4eba\u5de5\u667a\u80fd\u4e0e\u516c\u5171\u653f\u7b56\u7814\u8ba8\u4f1a\u201d\uff08AI and Public Policy: Frontiers in AI and Applications…<\/p>\n","protected":false},"author":1,"featured_media":4523,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[23],"tags":[],"special":[11],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/4522"}],"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"}],"author":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4522"}],"version-history":[{"count":1,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/4522\/revisions"}],"predecessor-version":[{"id":4535,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/4522\/revisions\/4535"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/4523"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4522"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4522"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4522"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=4522"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}