{"id":43,"date":"2024-03-01T21:44:45","date_gmt":"2024-03-01T21:44:45","guid":{"rendered":"https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/chapter\/why-not-just-do-ai-part-1\/"},"modified":"2024-08-15T02:00:49","modified_gmt":"2024-08-15T02:00:49","slug":"why-not-just-do-ai-part-1","status":"publish","type":"chapter","link":"https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/chapter\/why-not-just-do-ai-part-1\/","title":{"raw":"\u4e3a\u4ec0\u4e48\u4e0d\u76f4\u63a5\u4f7f\u7528AI\uff0c\u7b2c1\u90e8\u5206","rendered":"\u4e3a\u4ec0\u4e48\u4e0d\u76f4\u63a5\u4f7f\u7528AI\uff0c\u7b2c1\u90e8\u5206"},"content":{"raw":"<p class=\"no-indent\">\u5728AI\u9886\u57df\uff0c\u7b2c\u4e8c\u4e2a\u6781\u7aef\u7acb\u573a\u662f\u4e0d\u52a0\u533a\u5206\u5730\u4f7f\u7528\u6216\u6ee5\u7528\u6280\u672f\u3002\u4eba\u5de5\u667a\u80fd\u4e0e\u4eba\u7c7b\u667a\u80fd\u7684\u5de5\u4f5c\u65b9\u5f0f\u4e0d\u540c\u3002\u65e0\u8bba\u662f\u7531\u4e8e\u60c5\u5883\u7684\u672c\u8d28\u7279\u5f81\u3001\u5176\u8bbe\u8ba1\u8fd8\u662f\u6570\u636e\uff0cAI\u7cfb\u7edf\u7684\u5de5\u4f5c\u65b9\u5f0f\u53ef\u80fd\u4e0e\u9884\u671f\u4e0d\u540c\u3002<\/p>\r\n<p 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class=\"no-indent\">\u8c37\u6b4c\u7ffb\u8bd1\u662f\u901a\u8fc7\u4e92\u8054\u7f51\u53bb\u5b66\u4e60\u5982\u4f55\u8fdb\u884c\u7ffb\u8bd1\u7684\u3002\u5b83\u7684\u201c\u6570\u636e\u6316\u6398\u8005\u201d\u901a\u8fc7\u5728\u516c\u5171\u7f51\u7edc\u4e0a\u641c\u7d22\u6570\u636e\u6765\u5b66\u4e60\u3002\u9664\u4e86\u8bed\u8a00\uff0cAI\u8fd8\u5b66\u5230\u7537\u6027\u673a\u68b0\u5e08\u7684\u4eba\u6570\u591a\u4e8e\u5973\u6027\u673a\u68b0\u5e08\uff0c\u5973\u6027\u62a4\u58eb\u7684\u4eba\u6570\u8d85\u8fc7\u7537\u6027\u62a4\u58eb\u3002\u5b83\u65e0\u6cd5\u533a\u5206\u54ea\u4e9b\u662f\u201c\u771f\u5b9e\u201d\u7684\uff0c\u54ea\u4e9b\u662f\u56e0\u4e3a\u523b\u677f\u5370\u8c61\u548c\u5176\u4ed6\u504f\u89c1\u9020\u6210\u7684\u7ed3\u679c\u3002\u8c37\u6b4c\u7ffb\u8bd1\u6700\u7ec8\u5c06\u5b83\u6240\u5b66\u5230\u7684\u8fdb\u884c\u4f20\u64ad\uff0c\u56e0\u6b64\u8fdb\u4e00\u6b65\u5de9\u56fa\u4e86\u523b\u677f\u5370\u8c61<sup>1<\/sup>\uff1a<\/p>\r\n\r\n\r\n[caption id=\"attachment_41\" align=\"alignnone\" width=\"1024\"]<img class=\"wp-image-41 size-large\" src=\"http:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/ch1-Page-5-translate-1024x432.png\" alt=\"\" width=\"1024\" height=\"432\" \/> \u5c06\u201c\u5973\u6027\u673a\u68b0\u5e08\u201d\u548c\u201c\u7537\u6027\u62a4\u58eb\u201d\u7ffb\u8bd1\u6210\u82f1\u8bed\u7136\u540e\u518d\u7ffb\u8bd1\u56de\u6cd5\u8bed\uff0c\u53d8\u6210\u4e86\u201c\u7537\u6027\u673a\u68b0\u5e08\u201d\u548c\u201c\u5973\u6027\u62a4\u58eb\u201d\u3002\u8be5\u4f8b\u5b50\u53d7\u5230Barocas, S., Hardt, M., Narayanan, A., Fairness and machine learning Limitations and Opportunities, MIT Press, 2023\u7684\u542f\u53d1\u3002[\/caption]\r\n<p class=\"no-indent\">\u6bcf\u5f53\u4e2a\u522b\u6848\u4f8b\u4e0e\u5927\u591a\u6570\u6848\u4f8b\u4e0d\u540c\u65f6\uff08\u65e0\u8bba\u8fd9\u662f\u771f\u5b9e\u5730\u53cd\u6620\u4e86\u73b0\u5b9e\u4e16\u754c\u4e2d\u7684\u5927\u591a\u6570\uff0c\u8fd8\u662f\u4ec5\u4ee3\u8868\u4e86\u4e92\u8054\u7f51\u6240\u4ee3\u8868\u7684\u5927\u591a\u6570\uff09\uff0cAI\u5c31\u4f1a\u51fa\u73b0\u95ee\u9898\u3002\u5728\u8bfe\u5802\u4e0a\uff0c\u6559\u5e08\u5fc5\u987b\u5f25\u8865\u7cfb\u7edf\u5e26\u6765\u7684\u5931\u8bef\uff0c\u5e76\u5728\u5fc5\u8981\u65f6\u5c06\u5b66\u751f\u7684\u6ce8\u610f\u529b\u5f15\u5411\u5907\u9009\u7684\u6587\u672c\u3002<\/p>\r\n\r\n<div class=\"textbox textbox--exercises\"><header class=\"textbox__header\">\r\n<p class=\"textbox__title\"><strong>\u63a2\u7d22<\/strong><\/p>\r\n\r\n<\/header>\r\n<p class=\"textbox__content no-indent\">\u4f60\u80fd\u5728<a href=\"https:\/\/translate.google.com\/\" target=\"_blank\" rel=\"noopener\" data-cke-saved-href=\"https:\/\/translate.google.com\/\">\u8c37\u6b4c\u7ffb\u8bd1<\/a>\u4e2d\u627e\u5230\u4e00\u4e2a\u523b\u677f\u5370\u8c61\u5417\uff1f\u5c1d\u8bd5\u7528\u4e0d\u540c\u7684\u8bed\u8a00\u8fdb\u884c\u7ffb\u8bd1\u3002\u901a\u8fc7\u70b9\u51fb\u4e24\u4e2a\u7ffb\u8bd1\u6846\u4e4b\u95f4\u7684\u53cc\u7bad\u5934\uff0c\u4f60\u53ef\u4ee5\u4ea4\u6362\u6e90\u8bed\u8a00\u548c\u7ffb\u8bd1\u76ee\u6807\u8bed\u8a00\uff08\u8fd9\u5c31\u662f\u6211\u4eec\u5728\u4e0a\u9762\u793a\u4f8b\u4e2d\u6240\u505a\u7684\uff09\u3002<\/p>\r\n<p class=\"indent\">\u50cf\u571f\u8033\u5176\u8bed\u8fd9\u6837\u7684\u8bed\u8a00\u5bf9\u4e8e\u201c\u4ed6\u201d\u548c\u201c\u5979\u201d\u7684\u8bcd\u8bed\u4f7f\u7528\u76f8\u540c\u3002\u5f53\u4ece\u571f\u8033\u5176\u8bed\u7ffb\u8bd1\u56de\u6765\u65f6\uff0c\u8bb8\u591a\u523b\u677f\u5370\u8c61\u5c31\u663e\u73b0\u51fa\u6765\u3002\u8bf7\u6ce8\u610f\uff0c\u8bb8\u591a\u8bed\u8a00\u90fd\u6709\u7537\u6027\u504f\u89c1\u2014\u2014\u672a\u77e5\u6027\u522b\u7684\u4eba\u88ab\u5047\u5b9a\u4e3a\u7537\u6027\u3002\u8fd9\u5e76\u4e0d\u662f\u5e94\u7528\u7a0b\u5e8f\u7684\u504f\u89c1\u3002\u4ee4\u4eba\u9707\u60ca\u7684\u662f\uff0c\u5728\u4e0a\u9762\u6211\u4eec\u5c55\u793a\u7684\u4f8b\u5b50\u4e2d\u7537\u6027\u62a4\u58eb\u88ab\u6539\u6210\u4e86\u5973\u6027\u3002<\/p>\r\n\r\n<\/div>\r\n<h3 style=\"text-align: left\">\u591a\u79cd\u51c6\u786e\u6027\u5ea6\u91cf<\/h3>\r\n<p class=\"no-indent\"><img class=\"alignleft wp-image-838\" src=\"http:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/CN-5.1.png\" alt=\"\" width=\"377\" height=\"267\" \/>AI\u7cfb\u7edf\u80fd\u9884\u6d4b\u5b66\u751f\u63a5\u4e0b\u6765\u5e94\u8be5\u5b66\u4e60\u4ec0\u4e48\uff0c\u4ed6\u6216\u5979\u662f\u5426\u7406\u89e3\u4e86\u4e00\u4e2a\u4e3b\u9898\uff0c\u73ed\u7ea7\u5982\u4f55\u8fdb\u884c\u5206\u7ec4\u66f4\u597d\uff0c\u6216\u8005\u5b66\u751f\u4f55\u65f6\u6709\u8f8d\u5b66\u7684\u98ce\u9669\u3002\u8fd9\u4e9b\u9884\u6d4b\u901a\u5e38\u4f1a\u9644\u6709\u4e00\u4e2a\u767e\u5206\u6bd4\u503c\u3002\u8fd9\u4e2a\u6570\u5b57\u544a\u8bc9\u6211\u4eec\u7cfb\u7edf\u5bf9\u5176\u9884\u6d4b\u7684\u51c6\u786e\u6027\u5982\u4f55\u9ad8\u3002<\/p>\r\n<p class=\"indent\">\u672c\u8d28\u4e0a\uff0c\u9884\u6d4b\u53ef\u80fd\u662f\u9519\u8bef\u7684\u3002\u5728\u8bb8\u591a\u5e94\u7528\u4e2d\uff0c\u8fd9\u79cd\u9519\u8bef\u662f\u53ef\u4ee5\u63a5\u53d7\u7684\uff0c\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u8fd9\u662f\u4e0d\u53ef\u63a5\u53d7\u7684\u3002\u800c\u4e14\uff0c\u5bf9\u8fd9\u79cd\u9519\u8bef\u7684\u8ba1\u7b97\u65b9\u5f0f\u5e76\u4e0d\u56fa\u5b9a\u3002\u6709\u4e0d\u540c\u7684\u5ea6\u91cf\u65b9\u6cd5\uff0c\u7a0b\u5e8f\u5458\u6765\u9009\u62e9\u4ed6\u6216\u5979\u8ba4\u4e3a\u6700\u5408\u9002\u7684\u3002\u901a\u5e38\uff0c\u51c6\u786e\u6027\u4f1a\u6839\u636e\u8f93\u5165\u672c\u8eab\u800c\u53d8\u5316\u3002<\/p>\r\n<p class=\"indent\">\u5728\u8bfe\u5802\u4e0a\uff0c\u8fd9\u4e9b\u7cfb\u7edf\u4f1a\u5bf9\u513f\u7ae5\u8fdb\u884c\u9884\u6d4b\uff0c\u6559\u5e08\u9700\u8981\u5224\u65ad\u4ec0\u4e48\u662f\u53ef\u63a5\u53d7\u7684\uff0c\u5e76\u5728AI\u505a\u51fa\u4e0d\u9002\u5f53\u7684\u51b3\u5b9a\u65f6\u91c7\u53d6\u884c\u52a8\u3002\u4e3a\u6b64\uff0c\u4e86\u89e3AI\u6280\u672f\u7684\u80cc\u666f\u77e5\u8bc6\u53ca\u5176\u5e38\u89c1\u7684\u9519\u8bef\u5c06\u5927\u6709\u88e8\u76ca\u3002<\/p>\r\n\r\n\r\n<hr \/>\r\n<p class=\"hanging-indent\" style=\"text-align: left\"><sup>1 <\/sup>Barocas, S.,\u00a0 Hardt, M., Narayanan, A., <a href=\"https:\/\/fairmlbook.org\/\">Fairness and machine learning Limitations and Opportunities, MIT Press, 2023.<\/a><\/p>","rendered":"<p class=\"no-indent\">\u5728AI\u9886\u57df\uff0c\u7b2c\u4e8c\u4e2a\u6781\u7aef\u7acb\u573a\u662f\u4e0d\u52a0\u533a\u5206\u5730\u4f7f\u7528\u6216\u6ee5\u7528\u6280\u672f\u3002\u4eba\u5de5\u667a\u80fd\u4e0e\u4eba\u7c7b\u667a\u80fd\u7684\u5de5\u4f5c\u65b9\u5f0f\u4e0d\u540c\u3002\u65e0\u8bba\u662f\u7531\u4e8e\u60c5\u5883\u7684\u672c\u8d28\u7279\u5f81\u3001\u5176\u8bbe\u8ba1\u8fd8\u662f\u6570\u636e\uff0cAI\u7cfb\u7edf\u7684\u5de5\u4f5c\u65b9\u5f0f\u53ef\u80fd\u4e0e\u9884\u671f\u4e0d\u540c\u3002<\/p>\n<p 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class=\"no-indent\">\u8c37\u6b4c\u7ffb\u8bd1\u662f\u901a\u8fc7\u4e92\u8054\u7f51\u53bb\u5b66\u4e60\u5982\u4f55\u8fdb\u884c\u7ffb\u8bd1\u7684\u3002\u5b83\u7684\u201c\u6570\u636e\u6316\u6398\u8005\u201d\u901a\u8fc7\u5728\u516c\u5171\u7f51\u7edc\u4e0a\u641c\u7d22\u6570\u636e\u6765\u5b66\u4e60\u3002\u9664\u4e86\u8bed\u8a00\uff0cAI\u8fd8\u5b66\u5230\u7537\u6027\u673a\u68b0\u5e08\u7684\u4eba\u6570\u591a\u4e8e\u5973\u6027\u673a\u68b0\u5e08\uff0c\u5973\u6027\u62a4\u58eb\u7684\u4eba\u6570\u8d85\u8fc7\u7537\u6027\u62a4\u58eb\u3002\u5b83\u65e0\u6cd5\u533a\u5206\u54ea\u4e9b\u662f\u201c\u771f\u5b9e\u201d\u7684\uff0c\u54ea\u4e9b\u662f\u56e0\u4e3a\u523b\u677f\u5370\u8c61\u548c\u5176\u4ed6\u504f\u89c1\u9020\u6210\u7684\u7ed3\u679c\u3002\u8c37\u6b4c\u7ffb\u8bd1\u6700\u7ec8\u5c06\u5b83\u6240\u5b66\u5230\u7684\u8fdb\u884c\u4f20\u64ad\uff0c\u56e0\u6b64\u8fdb\u4e00\u6b65\u5de9\u56fa\u4e86\u523b\u677f\u5370\u8c61<sup>1<\/sup>\uff1a<\/p>\n<figure id=\"attachment_41\" aria-describedby=\"caption-attachment-41\" style=\"width: 1024px\" class=\"wp-caption alignnone\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-41 size-large\" src=\"http:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/ch1-Page-5-translate-1024x432.png\" alt=\"\" width=\"1024\" height=\"432\" srcset=\"https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/ch1-Page-5-translate-1024x432.png 1024w, https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/ch1-Page-5-translate-300x126.png 300w, https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/ch1-Page-5-translate-768x324.png 768w, https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/ch1-Page-5-translate-1536x648.png 1536w, https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/ch1-Page-5-translate-65x27.png 65w, https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/ch1-Page-5-translate-225x95.png 225w, https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/ch1-Page-5-translate-350x148.png 350w, https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/ch1-Page-5-translate.png 1729w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption id=\"caption-attachment-41\" class=\"wp-caption-text\">\u5c06\u201c\u5973\u6027\u673a\u68b0\u5e08\u201d\u548c\u201c\u7537\u6027\u62a4\u58eb\u201d\u7ffb\u8bd1\u6210\u82f1\u8bed\u7136\u540e\u518d\u7ffb\u8bd1\u56de\u6cd5\u8bed\uff0c\u53d8\u6210\u4e86\u201c\u7537\u6027\u673a\u68b0\u5e08\u201d\u548c\u201c\u5973\u6027\u62a4\u58eb\u201d\u3002\u8be5\u4f8b\u5b50\u53d7\u5230Barocas, S., Hardt, M., Narayanan, A., Fairness and machine learning Limitations and Opportunities, MIT Press, 2023\u7684\u542f\u53d1\u3002<\/figcaption><\/figure>\n<p class=\"no-indent\">\u6bcf\u5f53\u4e2a\u522b\u6848\u4f8b\u4e0e\u5927\u591a\u6570\u6848\u4f8b\u4e0d\u540c\u65f6\uff08\u65e0\u8bba\u8fd9\u662f\u771f\u5b9e\u5730\u53cd\u6620\u4e86\u73b0\u5b9e\u4e16\u754c\u4e2d\u7684\u5927\u591a\u6570\uff0c\u8fd8\u662f\u4ec5\u4ee3\u8868\u4e86\u4e92\u8054\u7f51\u6240\u4ee3\u8868\u7684\u5927\u591a\u6570\uff09\uff0cAI\u5c31\u4f1a\u51fa\u73b0\u95ee\u9898\u3002\u5728\u8bfe\u5802\u4e0a\uff0c\u6559\u5e08\u5fc5\u987b\u5f25\u8865\u7cfb\u7edf\u5e26\u6765\u7684\u5931\u8bef\uff0c\u5e76\u5728\u5fc5\u8981\u65f6\u5c06\u5b66\u751f\u7684\u6ce8\u610f\u529b\u5f15\u5411\u5907\u9009\u7684\u6587\u672c\u3002<\/p>\n<div class=\"textbox textbox--exercises\">\n<header class=\"textbox__header\">\n<p class=\"textbox__title\"><strong>\u63a2\u7d22<\/strong><\/p>\n<\/header>\n<p class=\"textbox__content no-indent\">\u4f60\u80fd\u5728<a href=\"https:\/\/translate.google.com\/\" target=\"_blank\" rel=\"noopener\" data-cke-saved-href=\"https:\/\/translate.google.com\/\">\u8c37\u6b4c\u7ffb\u8bd1<\/a>\u4e2d\u627e\u5230\u4e00\u4e2a\u523b\u677f\u5370\u8c61\u5417\uff1f\u5c1d\u8bd5\u7528\u4e0d\u540c\u7684\u8bed\u8a00\u8fdb\u884c\u7ffb\u8bd1\u3002\u901a\u8fc7\u70b9\u51fb\u4e24\u4e2a\u7ffb\u8bd1\u6846\u4e4b\u95f4\u7684\u53cc\u7bad\u5934\uff0c\u4f60\u53ef\u4ee5\u4ea4\u6362\u6e90\u8bed\u8a00\u548c\u7ffb\u8bd1\u76ee\u6807\u8bed\u8a00\uff08\u8fd9\u5c31\u662f\u6211\u4eec\u5728\u4e0a\u9762\u793a\u4f8b\u4e2d\u6240\u505a\u7684\uff09\u3002<\/p>\n<p class=\"indent\">\u50cf\u571f\u8033\u5176\u8bed\u8fd9\u6837\u7684\u8bed\u8a00\u5bf9\u4e8e\u201c\u4ed6\u201d\u548c\u201c\u5979\u201d\u7684\u8bcd\u8bed\u4f7f\u7528\u76f8\u540c\u3002\u5f53\u4ece\u571f\u8033\u5176\u8bed\u7ffb\u8bd1\u56de\u6765\u65f6\uff0c\u8bb8\u591a\u523b\u677f\u5370\u8c61\u5c31\u663e\u73b0\u51fa\u6765\u3002\u8bf7\u6ce8\u610f\uff0c\u8bb8\u591a\u8bed\u8a00\u90fd\u6709\u7537\u6027\u504f\u89c1\u2014\u2014\u672a\u77e5\u6027\u522b\u7684\u4eba\u88ab\u5047\u5b9a\u4e3a\u7537\u6027\u3002\u8fd9\u5e76\u4e0d\u662f\u5e94\u7528\u7a0b\u5e8f\u7684\u504f\u89c1\u3002\u4ee4\u4eba\u9707\u60ca\u7684\u662f\uff0c\u5728\u4e0a\u9762\u6211\u4eec\u5c55\u793a\u7684\u4f8b\u5b50\u4e2d\u7537\u6027\u62a4\u58eb\u88ab\u6539\u6210\u4e86\u5973\u6027\u3002<\/p>\n<\/div>\n<h3 style=\"text-align: left\">\u591a\u79cd\u51c6\u786e\u6027\u5ea6\u91cf<\/h3>\n<p class=\"no-indent\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-838\" src=\"http:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/CN-5.1.png\" alt=\"\" width=\"377\" height=\"267\" srcset=\"https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/CN-5.1.png 4973w, https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/CN-5.1-300x212.png 300w, https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/CN-5.1-1024x724.png 1024w, https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/CN-5.1-768x543.png 768w, https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/CN-5.1-1536x1086.png 1536w, https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/CN-5.1-2048x1448.png 2048w, https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/CN-5.1-65x46.png 65w, https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/CN-5.1-225x159.png 225w, https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-content\/uploads\/sites\/24\/2024\/03\/CN-5.1-350x247.png 350w\" sizes=\"(max-width: 377px) 100vw, 377px\" \/>AI\u7cfb\u7edf\u80fd\u9884\u6d4b\u5b66\u751f\u63a5\u4e0b\u6765\u5e94\u8be5\u5b66\u4e60\u4ec0\u4e48\uff0c\u4ed6\u6216\u5979\u662f\u5426\u7406\u89e3\u4e86\u4e00\u4e2a\u4e3b\u9898\uff0c\u73ed\u7ea7\u5982\u4f55\u8fdb\u884c\u5206\u7ec4\u66f4\u597d\uff0c\u6216\u8005\u5b66\u751f\u4f55\u65f6\u6709\u8f8d\u5b66\u7684\u98ce\u9669\u3002\u8fd9\u4e9b\u9884\u6d4b\u901a\u5e38\u4f1a\u9644\u6709\u4e00\u4e2a\u767e\u5206\u6bd4\u503c\u3002\u8fd9\u4e2a\u6570\u5b57\u544a\u8bc9\u6211\u4eec\u7cfb\u7edf\u5bf9\u5176\u9884\u6d4b\u7684\u51c6\u786e\u6027\u5982\u4f55\u9ad8\u3002<\/p>\n<p class=\"indent\">\u672c\u8d28\u4e0a\uff0c\u9884\u6d4b\u53ef\u80fd\u662f\u9519\u8bef\u7684\u3002\u5728\u8bb8\u591a\u5e94\u7528\u4e2d\uff0c\u8fd9\u79cd\u9519\u8bef\u662f\u53ef\u4ee5\u63a5\u53d7\u7684\uff0c\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u8fd9\u662f\u4e0d\u53ef\u63a5\u53d7\u7684\u3002\u800c\u4e14\uff0c\u5bf9\u8fd9\u79cd\u9519\u8bef\u7684\u8ba1\u7b97\u65b9\u5f0f\u5e76\u4e0d\u56fa\u5b9a\u3002\u6709\u4e0d\u540c\u7684\u5ea6\u91cf\u65b9\u6cd5\uff0c\u7a0b\u5e8f\u5458\u6765\u9009\u62e9\u4ed6\u6216\u5979\u8ba4\u4e3a\u6700\u5408\u9002\u7684\u3002\u901a\u5e38\uff0c\u51c6\u786e\u6027\u4f1a\u6839\u636e\u8f93\u5165\u672c\u8eab\u800c\u53d8\u5316\u3002<\/p>\n<p class=\"indent\">\u5728\u8bfe\u5802\u4e0a\uff0c\u8fd9\u4e9b\u7cfb\u7edf\u4f1a\u5bf9\u513f\u7ae5\u8fdb\u884c\u9884\u6d4b\uff0c\u6559\u5e08\u9700\u8981\u5224\u65ad\u4ec0\u4e48\u662f\u53ef\u63a5\u53d7\u7684\uff0c\u5e76\u5728AI\u505a\u51fa\u4e0d\u9002\u5f53\u7684\u51b3\u5b9a\u65f6\u91c7\u53d6\u884c\u52a8\u3002\u4e3a\u6b64\uff0c\u4e86\u89e3AI\u6280\u672f\u7684\u80cc\u666f\u77e5\u8bc6\u53ca\u5176\u5e38\u89c1\u7684\u9519\u8bef\u5c06\u5927\u6709\u88e8\u76ca\u3002<\/p>\n<hr \/>\n<p class=\"hanging-indent\" style=\"text-align: left\"><sup>1 <\/sup>Barocas, S.,\u00a0 Hardt, M., Narayanan, A., <a href=\"https:\/\/fairmlbook.org\/\">Fairness and machine learning Limitations and Opportunities, MIT Press, 2023.<\/a><\/p>\n","protected":false},"author":3,"menu_order":5,"template":"","meta":{"pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"part":30,"_links":{"self":[{"href":"https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-json\/pressbooks\/v2\/chapters\/43"}],"collection":[{"href":"https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-json\/wp\/v2\/users\/3"}],"version-history":[{"count":10,"href":"https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-json\/pressbooks\/v2\/chapters\/43\/revisions"}],"predecessor-version":[{"id":961,"href":"https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-json\/pressbooks\/v2\/chapters\/43\/revisions\/961"}],"part":[{"href":"https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-json\/pressbooks\/v2\/parts\/30"}],"metadata":[{"href":"https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-json\/pressbooks\/v2\/chapters\/43\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-json\/wp\/v2\/media?parent=43"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-json\/pressbooks\/v2\/chapter-type?post=43"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-json\/wp\/v2\/contributor?post=43"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/aiopentext.itd.cnr.it\/chinesegpt\/wp-json\/wp\/v2\/license?post=43"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}