{"id":36080,"date":"2023-05-12T08:11:00","date_gmt":"2023-05-12T00:11:00","guid":{"rendered":"https:\/\/damakey.com\/?p=36080"},"modified":"2023-06-18T08:15:09","modified_gmt":"2023-06-18T00:15:09","slug":"trustworthy-a-business-guide-for-navigating-trust-and-ethics-in-a","status":"publish","type":"post","link":"https:\/\/damakey.com\/?p=36080","title":{"rendered":"Trustworthy, a business guide for navigating trust and ethics in A"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

\u4ec0\u9ebc\u662fAI(Artificial Intelligence)?<\/p>\n\n\n\n

AI\u662f\u5de5\u5177\uff0c\u662f\u6578\u5b78\u904b\u7b97\uff0c\u662f\u529f\u80fd\u6a21\u578b\uff0c\u662f\u89e3\u6c7a\u65b9\u6848\u3002<\/p>\n\n\n\n

\u2018\u2026AI does not \u201cthink.\u201d AI tools are in fact highly complex mathematical calculations  that have been constructed such that the solution to the calculations accurately describes something in the real world. More than this, AI as a concept is not just a discrete thing. It is as much a collection of model types performing different functions as it is a professional practice area for data scientists and the technology ecosystem that permits their work and AI they develop.\u2019*<\/p>\n\n\n\n

AI\u904b\u7528\u7684\u4e3b\u8981\u7bc4\u7587\u662f\uff1a<\/p>\n\n\n\n

Computer vision. \u5f71\u50cf\u8655\u7406\u3002<\/p>\n\n\n\n

Natural language processing(NLO). \u8a9e\u8a00\u8655\u7406\u3002<\/p>\n\n\n\n

Speech recognition. \u8a9e\u8a00\u8fa8\u8b58\u3002<\/p>\n\n\n\n

Planning, scheduling, and prediction. \u898f\u5283\u3001\u6392\u7a0b\u3001\u9810\u6e2c\u3002<\/p>\n\n\n\n

Recommendation system. \u7cbe\u6e96\u884c\u92b7\u3002<\/p>\n\n\n\n

Robotics. \u6a5f\u5668\u4eba\u3002<\/p>\n\n\n\n

\u2026\u2026<\/p>\n\n\n\n

\u70ba\u4e86\u9054\u6210\u9019\u4e9bAI\u7684\u904b\u7528\uff0cAI\u9664\u4e86\u7a0b\u5f0f\u4e4b\u5916\uff0c\u4e3b\u8981\u9084\u501a\u8cf4\u5927\u578b\u6578\u64da\u8cc7\u6599\u7684\u5206\u6790(\u5b78\u7fd2)\u4f86\u5efa\u7acb\u529f\u80fd\u6a21\u578b\u3002\u65b9\u6cd5\u5f88\u591a\uff0c\u8209\u5e7e\u500b\u4f8b\u5b50\u4f9b\u5927\u5bb6\u53c3\u8003\uff1a<\/p>\n\n\n\n

Machine learning(ML). \u6a5f\u5668\u5b78\u7fd2\uff1a\u8a08\u7b97\u8cc7\u6599\u4f86\u81ea\u52d5\u7522\u751f\u76f8\u61c9\u7684\u908f\u8f2f(algorithms)\uff0c\u9019\u500b\u904e\u7a0b\u4e5f\u53eb\u505a\u300c\u5b78\u7fd2\u300d\u3002<\/p>\n\n\n\n

Neural network(NN). \u795e\u7d93\u7db2\u7d61\uff1a\u5728\u8f38\u5165\u548c\u8f38\u51fa\u4e4b\u9593\u7684\u95dc\u4fc2\uff0c\u5c31\u50cf\u4eba\u8166(\u591a\u5c64\u6b21)\u7684\u795e\u7d93\u7db2\u7d61\u4e00\u6a23\u3002\u96fb\u8166\u8a08\u7b97\u8cc7\u6599\uff0c\u5efa\u7acb\u795e\u7d93\u7db2\u7d61\u7684\u4ea4\u63a5\u9ede\u53ca\u5b83\u5011\u4e4b\u9593\u7684\u95dc\u4fc2(\u4e5f\u53eb\u505a\u300c\u5b78\u7fd2\u300d)\u3002\u7c21\u5316\u8a00\u4e4b\uff0c\u4e00\u65e6\u795e\u7d93\u7db2\u7d61\u5efa\u7acb\u4e86\uff0c\u672a\u4f86\u6709\u65b0\u7684\u8f38\u5165\uff0c\u900f\u904e\u9019\u500b\u795e\u7d93\u7db2\u7d61\uff0c\u8f38\u51fa\u5c31\u53ef\u4ee5\u7522\u751f\u4e86\u3002<\/p>\n\n\n\n

Deep learning(DL). \u6df1\u5ea6\u5b78\u7fd2\uff1a\u9019\u662fMachine learning(ML) \u6a5f\u5668\u5b78\u7fd2\u7684\u4e00\u652f\u3002\u6700\u4e3b\u8981\u7684\u662f\uff0c\u9664\u4e86\u6709\u56fa\u5b9a\u683c\u5f0f(structured)\u7684\u8cc7\u6599\u4e4b\u5916\uff0c\u6df1\u5ea6\u5b78\u7fd2\u7684\u6280\u8853\u66f4\u6709\u5f48\u6027\uff0c\u9084\u53ef\u4ee5\u5f9e\u4e0d\u56fa\u5b9a\u683c\u5f0f(unstructured)\u7684\u8cc7\u6599\u6216\u672a\u6a19\u660e(unlabeled)\u7684\u8cc7\u6599\u4e2d\u9032\u884c\u5b78\u7fd2\u3002\u9019\u88cf\u7684\u300c\u6df1\u300d\uff0c\u662f\u6307\u6df1\u5ea6\u5b78\u7fd2\u7684\u795e\u7d93\u7db2\u7d61(NN)\uff0c\u6709\u975e\u5e38\u591a\u5c64\uff0c\u66f4\u8907\u96dc\u3002<\/p>\n\n\n\n

Supervised learning. \u63a7\u5236\u4e0b\u7684\u5b78\u7fd2\uff1a\u9019\u662fMachine learning(ML) \u6a5f\u5668\u5b78\u7fd2\u7684\u4e00\u652f\uff0c\u6307\u91dd\u5c0d\u7279\u5b9a\u7684\u908f\u8f2f\uff0c\u8f38\u5165\u7279\u5b9a\u7684\u8cc7\u6599(\u5206\u985e\u6216\u5efb\u6b78\u5206\u6790)\uff0c\u4f86\u63d0\u9ad8\u6a21\u578b\u7684\u7cbe\u78ba\u7a0b\u5ea6\u3002<\/p>\n\n\n\n

Unsupervised learning. \u975e\u5b8c\u5168\u63a7\u5236\u4e0b\u7684\u5b78\u7fd2\uff1a\u6700\u4e3b\u8981\u662f\u5f9e\u4e0d\u56fa\u5b9a\u683c\u5f0f(unstructured)\u7684\u8cc7\u6599\u6216\u672a\u6a19\u660e(unlabeled)\u7684\u8cc7\u6599\u4e2d\u5b78\u7fd2\uff0c\u4f86\u5c0b\u6c42\u6a21\u5f0f\u3001\u5efa\u7acb\u6a21\u578b\u3002<\/p>\n\n\n\n

Reinforcement learning. \u5617\u8a66\u932f\u8aa4\u7684\u5b78\u7fd2\uff1a\u6a5f\u5668\u5f9e\u5617\u8a66\u4e2d\u5f97\u5230\u56de\u994b\uff0c\u7136\u5f8c\u9010\u6b65\u6539\u5584\u529f\u80fd\u6a21\u578b\u7684\u65b9\u5f0f\uff0c\u9019\u6709\u9ede\u50cf\u4eba\u985e\u7684\u5b78\u7fd2\u6a21\u5f0f\u3002<\/p>\n\n\n\n

AI\u7684\u6311\u6230\uff0c\u5728\u65bc\u5b83\u5f80\u5f80\u975e\u5e38\u8907\u96dc\uff0c\u727d\u6d89\u5230\u975e\u5e38\u591a\u7684\u904b\u7b97\uff0c\u5c0d\u4eba\u800c\u8a00\uff0c\u4e26\u4e0d\u76f4\u89c0\u3002<\/p>\n\n\n\n

\u8b6c\u5982\uff0c\u4ee5 \u300cNeural network(NN) \u795e\u7d93\u7db2\u7d61\u300d\u7684\u6280\u8853\u70ba\u4f8b\uff0c\u5b83\u7684\u6a21\u578b\u529f\u80fd\u4e2d\u7684\u7db2\u7d61\u9ede\u65e2\u591a\uff0c\u7db2\u7d61\u4e5f\u53ef\u80fd\u6709\u975e\u5e38\u591a\u7684\u5c64\u6b21\uff0c\u8f38\u51fa\u548c\u8f38\u5165\u4e4b\u9593\u7684\u95dc\u4fc2\u5c31\u4ee4\u4eba\u7121\u6cd5\u7406\u89e3(\u6709\u82e5\u9ed1\u7bb1\u4e00\u822c)\u3002<\/p>\n\n\n\n

\u800cAI\u7684\u529f\u80fd\uff0c\u53c8\u7d93\u5e38\u662f\u5982\u6b64\u5f37\u5927\uff0c\u56e0\u6b64\u6709\u4eba\u5c31\u5bb3\u6015\uff0c\u6703\u4e0d\u6703\u6709\u4e00\u5929AI\u6703\u53cd\u904e\u4f86\u4e3b\u5bb0\uff0c\u50b7\u5bb3\u751a\u81f3\u6bc0\u6ec5\u4e86\u4eba\u985e\u5462\uff1f<\/p>\n\n\n\n

\u5982\u679c\u770b\u5230AI\u904b\u7528\u4e4b\u4e00\u7684\u7121\u4eba\u6a5f\u5728\u6230\u5834\u4e0a\u767c\u63ee\u7684\u6bba\u622e\u529f\u80fd\uff0cAI\u6bc0\u6ec5\u4eba\u985e\uff0c\u4f3c\u4e4e\u4e26\u4e0d\u662f\u5371\u8a00\u8073\u807d\u3002<\/p>\n\n\n\n

\u65e9\u5728Isaac Asimov \u65bc1942\u5e74\u51fa\u7248\u7684\u2018Runarund\u2019\u7684\u6545\u4e8b\u66f8\u4e2d\uff0c\u5c31\u63d0\u51fa\u4e86\u8a2d\u8a08\u6a5f\u5668\u4eba\u6642\uff0c\u5fc5\u9808\u9075\u5faa\u4ee5\u4e0b\u4e09\u9ede\u57fa\u672c\u539f\u5247\uff0c\u4ee5\u4fdd\u8b77\u4eba\u985e\uff1a<\/p>\n\n\n\n

Three Law of Robotics<\/p>\n\n\n\n

1. A robot may not injure a human or allow a human to be injured.<\/p>\n\n\n\n

2. A robot must follow human orders except when they conflict with Law 1.<\/p>\n\n\n\n

3. A robot must protect its own existence except when it conflicts with Law 1 and Law2.<\/p>\n\n\n\n

\u4ee5\u73fe\u4ecaAI\u7684\u8907\u96dc\u7a0b\u5ea6\uff0c\u5df2\u7d93\u4e0d\u662f\u7c21\u55ae\u7684\u908f\u8f2f\u7a0b\u5f0f\uff0c\u524d\u8ff0\u7684\u4e09\u9ede\u57fa\u672c\u539f\u5247\uff0c\u5df2\u7d93\u9060\u9060\u4e0d\u8db3\u4ee5\u4fdd\u8b49AI\u4e0d\u9020\u6210\u50b7\u5bb3\uff0c\u66f4\u60f6\u8ad6\u4fdd\u8b77\u4eba\u985e\u4e86\u3002<\/p>\n\n\n\n

\u2019Trustworthy, a business guide for navigating trust and ethics in AI \u2019 \u9019\u672c\u66f8\u7684\u4f5c\u8005Beena Ammanath\uff0c\u63d0\u51fa\u4e86\u4e00\u500b\u5f9e\u516c\u53f8\u6cbb\u7406\u9019\u6a23\u7684\u9ad8\u5ea6\uff0c\u5982\u4f55\u5f15\u9032AI\u4fc3\u9032\u6548\u7387\u7684\u540c\u6642\uff0c\u4e5f\u80fd\u907f\u514d\u6216\u6e1b\u5c11AI\u6240\u7522\u751f\u7684\u8ca0\u4f5c\u7528\u3002<\/p>\n\n\n\n

\u73fe\u5728AI\u7684\u767c\u5c55\uff0c\u5c1a\u5728\u65b0\u4e00\u671f\u7522\u696d\u9769\u547d\u7684\u521d\u671f\u968e\u6bb5\u3002<\/p>\n\n\n\n

Beena Ammanath\u8209\u6c7d\u8eca\u525b\u554f\u4e16\u70ba\u4f8b\uff0c\u7576\u6642\u7684\u4ea4\u901a\u6cd5\u898f\u53ca\u4ea4\u901a\u8a2d\u65bd\u4e26\u4e0d\u5b8c\u5099\uff0c\u884c\u4eba\u81ea\u5df1\u5fc5\u9808\u5c0f\u5fc3\u904e\u99ac\u8def\u3002\u4f46\u662f\u9019\u4e26\u672a\u963b\u6b62\u6c7d\u8eca\u4e0a\u8def\uff0c\u76f8\u95dc\u7684\u914d\u5957\u63aa\u65bd\uff0c\u662f\u9010\u6f38\u6478\u7d22\u800c\u7522\u751f\u7684\u3002<\/p>\n\n\n\n

\u751f\u7522\u6c7d\u8eca\u7684\u516c\u53f8\u6216\u99d5\u8eca\u7684\u4eba\u9020\u6210\u7684\u4efb\u4f55\u50b7\u5bb3\uff0c\u76f8\u95dc\u7684\u4eba\u9084\u662f\u6709\u8cac\u4efb\u7684\u3002\u8b6c\u5982\uff0c\u6c7d\u8eca\u7684\u7455\u75b5\uff0c\u6703\u9020\u6210\u8eca\u5ee0\u7684\u5de8\u984d\u640d\u5931\uff0c\u6240\u4ee5\u6c7d\u8eca\u751f\u7522\u76f8\u95dc\u7684\u4eba\u5c31\u5f97\u8ca0\u8d77\u76f8\u5c0d\u7684\u8cac\u4efb\uff0c\u9019\u5c31\u662f\u5ee3\u7fa9\u7684\u516c\u53f8\u6cbb\u7406\u3002<\/p>\n\n\n\n

AI\u4e5f\u662f\u985e\u4f3c\u3002<\/p>\n\n\n\n

AI\u5c31\u50cf\u4e00\u90e8\u300c\u672a\u4f86\u7684\u300d\u6c7d\u8eca\uff0c\u8981\u78ba\u4fdd\u5b83\u7522\u751f\u5229\u76ca\u3001\u6e1b\u5c11\u640d\u5bb3\uff0c\u516c\u53f8\u4e0a\u4e0a\u4e0b\u4e0b\uff0c\u7576\u7136\u90fd\u8981\u8ca0\u8d77\u76f8\u95dc\u7684\u8cac\u4efb\u624d\u53ef\u4ee5\u3002<\/p>\n\n\n\n

\u4ee5\u5be9\u6838\u8cb8\u6b3e\u6216\u62db\u52df\u54e1\u5de5\u7684AI\u70ba\u4f8b\uff0c\u5fc5\u9808\u900f\u904e\u5145\u5206\u7684\u6e2c\u8a66\uff0c\u4ee5\u78ba\u4fdd\u5b83\u6703\u4e0d\u5c0d\u7279\u5b9a\u7684\u8cb8\u6b3e\u7533\u8acb\u8005\u7522\u751f\u6b67\u8996\u3002\u56e0\u70ba\u5728\u8a13\u7df4AI\u7684\u6642\u5019\uff0c\u5982\u679c\u4e0d\u5c0f\u5fc3\uff0c\u53ef\u80fd\u6703\u7528\u5230\u5145\u6eff\u6b67\u8996\u7684\u8cc7\u6599\u5eab\uff0c\u8a13\u7df4\u51fa\u6703\u6b67\u8996\u7684AI\u3002\u90a3\u9ebc\u9019\u662f\u8ab0\u7684\u8cac\u4efb\u5462\uff1f\u7576\u7136\u662f\u4f7f\u7528\u8a72\u9805AI\u7684\u516c\u53f8\u8981\u8ca0\u8d77\u5b8c\u5168\u7684\u8cac\u4efb\u3002<\/p>\n\n\n\n

\u5728\u516c\u53f8\u6cbb\u7406\u4e0a\uff0c\u70ba\u4ec0\u9ebc\u5728\u9304\u7528\u54e1\u5de5\u6642\uff0c\u8981\u5f37\u8abf\u5ee3\u7d0d\u767e\u5ddd(diversity)\uff0c\u56e0\u70ba\u8655\u7406\u8cc7\u6599\u7684\u4eba\u54e1\u4e5f\u53ef\u80fd\u56e0\u70ba\u4ed6\u7684\u80cc\u666f\uff0c\u800c\u4e0d\u7d93\u610f\u63a1\u7528\u4e86\u5145\u6eff\u6b67\u8996\u7684\u8cc7\u6599\uff0c\u8a13\u7df4\u51fa\u4f86\u7684AI\u4e5f\u6703\u6709\u6b67\u8996\u7684\u50be\u5411\u4e86\u3002\u6709\u5404\u7a2e\u80cc\u666f\u7684\u54e1\u5de5\u4f86\u8655\u7406\u8cc7\u6599\uff0c\u53ef\u4ee5\u5e73\u8861\u4e00\u4e0b\u3002<\/p>\n\n\n\n

\u516c\u53f8\u7684\u9ad8\u5c64\uff0c\u4e0d\u80fd\u8aaa\u4e0d\u4e86\u89e3AI\u5c31\u53ef\u4ee5\u7684\u3002\u5c31\u516c\u53f8\u6cbb\u7406\u800c\u8a00\uff0c\u4e26\u4e0d\u662f\u4e0d\u77e5\u8005\u7121\u7f6a\u3002<\/p>\n\n\n\n

\u516c\u53f8\u7684\u8cc7\u8a0a\u90e8\u9580\uff0c\u5fc5\u9808\u8b93\u516c\u53f8\u7684\u9ad8\u5c64\u548c\u7ba1\u7406\u4eba\u54e1\u5118\u53ef\u80fd\u7406\u89e3\u6240\u904b\u7528\u7684AI\u662f\u4ec0\u9ebc\u3002\u5728\u7b56\u7565\u4e0a\uff0c\u5c0d\u65bc\u4e0d\u61c2\u7684AI\uff0c\u4e5f\u5c31\u662f\u4e0d\u4e86\u89e3\u8a72\u9805AI\u6240\u5e36\u4f86\u7684\u98a8\u96aa\uff0c\u90a3\u9ebc\u6c7a\u7b56\u4eba\u54e1\u6c7a\u4e0d\u63a1\u7528\u5b83\uff0c\u4e5f\u662f\u4e00\u7a2e\u9078\u64c7\u5462\uff01<\/p>\n\n\n\n

\u66fe\u7d93\u6709\u6295\u8cc7\u516c\u53f8\uff0c\u592a\u4ef0\u8cf4AI\u9032\u884c\u5373\u6642\u7684\u81ea\u52d5\u4ea4\u6613\uff0c\u4ee5\u81f4\u9020\u6210\u5de8\u5927\u640d\u5931\u800c\u5f15\u767c\u516c\u53f8\u7684\u5012\u9589\u3002\u9019\u500b\u554f\u984c\u5c31\u5728\u65bc\u516c\u53f8\u7684\u9ad8\u5c64\u5c0d\u65bc\u8a72AI\u7684\u98a8\u96aa\u4e8b\u5148\u8a8d\u8b58\u4e0d\u8db3\uff0c\u4e8b\u5f8c\uff0c\u5c0dAI\u7684\u6388\u6b0a\u6c92\u6709\u63a7\u5236\uff0c\u6216\u6c92\u6709\u53ca\u6642\u9810\u8b66\u7684\u6a5f\u5236\u3002\u516c\u53f8\u7684\u5012\u9589\uff0c\u662f\u4eba\u70ba\u7684\u7d50\u679c\u3001\u516c\u53f8\u6cbb\u7406\u7684\u554f\u984c\uff0c\u4e0d\u80fd\u602aAI\u3002<\/p>\n\n\n\n

\u5728\u8a13\u7df4AI\u6642\uff0c\u6703\u7528\u5230\u5927\u91cf\u7684\u5ba2\u6236\u8cc7\u6599\uff0c\u9019\u5c31\u727d\u6d89\u5230\u500b\u4eba\u8cc7\u6599\u7684\u904b\u7528\u662f\u5426\u5df2\u7d93\u53d6\u5f97\u540c\u610f\uff0c\u8cc7\u6599\u7684\u4fdd\u8b77\u7684\u63aa\u65bd\u662f\u5426\u5145\u8db3\uff0c\u8cc7\u6599\u5916\u6d29\u7684\u98a8\u96aa\u548c\u640d\u5931\u7b49\u7b49\u7684\u554f\u984c\u3002<\/p>\n\n\n\n

\u500b\u4eba\u8cc7\u6599\u7684\u4fdd\u8b77\uff0c\u5728\u73fe\u884c\u7684\u516c\u53f8\u6cbb\u7406\u4e0a\uff0c\u5c31\u5df2\u7d93\u662f\u6311\u6230\u4e86\u3002\u800c\u904b\u7528AI\u7684\u516c\u53f8\u66f4\u6311\u6230\u7684\u662f\uff0c\u7528\u4f86\u8a13\u7df4AI\u7684\u8cc7\u6599\u6578\u91cf\u5f80\u5f80\u5f88\u9f90\u5927\uff0c\u6feb\u7528\u3001\u5916\u6d29\u7b49\u5728\u8072\u8b7d\u640d\u5931\u53ca\u9069\u6cd5\u6027\u7684\u6cd5\u5f8b\u98a8\u96aa\u66f4\u5927\uff0c\u6240\u4ee5\u5728\u63a1\u7528AI\u4e4b\u524d\u3001\u4e4b\u4e2d\u53ca\u4e4b\u5f8c\uff0c\u6574\u500bAI\u7684\u8edf\u9ad4\u751f\u547d\u5faa\u74b0\uff0c\u90fd\u5fc5\u9808\u8981\u6301\u7e8c\u5bc6\u5207\u8a55\u4f30\u548c\u76e3\u63a7\u7684\u3002<\/p>\n\n\n\n

AI\u662f\u6642\u52e2\u6240\u8da8\u3002\u8981\u99d5\u99c1AI\uff0c\u5c31\u8981\u5728\u516c\u53f8\u6cbb\u7406\u7684\u9ad8\u5ea6\u4e0a\uff0c\u4f7f\u5f97\u63a1\u7528\u7684AI\u662f\u503c\u5f97\u4fe1\u8cf4\u7684\uff0c\u4e5f\u5c31\u662f\u8aaa\uff0c\u9019\u4e9bAI\u7cfb\u7d71\u5fc5\u9808\u8981\u7b26\u5408\u4ee5\u4e0b\u7684\u5e7e\u500b\u539f\u5247\uff1a<\/p>\n\n\n\n

1. Fair and impartial. \u4e0d\u7522\u751f\u6b67\u8996\u3002<\/p>\n\n\n\n

2. Robust and reliable. \u7a69\u5b9a\u53ef\u9760\u3002<\/p>\n\n\n\n

3. Respectful of privacy. \u5c0a\u91cd\u500b\u4eba\u96b1\u79c1\u3002<\/p>\n\n\n\n

4. Safe and secure. \u517c\u9867\u8cc7\u6599\u7684\u5b89\u5168\u3002<\/p>\n\n\n\n

5. Responsible and accountable. \u76f8\u95dc\u4eba\u54e1\u80fd\u8ca0\u8d77\u8cac\u4efb\u3002<\/p>\n\n\n\n

6. Transparent and explainable. \u7cfb\u7d71\u900f\u660e\u4e14\u5bb9\u6613\u7406\u89e3\u3002<\/p>\n\n\n\n

AI\u5728\u4e0d\u65b7\u5730\u6f14\u9032\uff0c\u63a1\u7528AI\u6280\u8853\u7684\u6240\u6709\u5229\u5bb3\u95dc\u4fc2\u4eba(stack holders)\uff0c\u90fd\u5fc5\u9808\u5728\u5404\u500b\u5c64\u6b21\u4e0a\u5145\u5206\u4e86\u89e3AI\u7684\u6a5f\u6703\u548c\u98a8\u96aa\u3002\u5176\u4e2d\u6700\u91cd\u8981\u7684\uff0c\u4ee5AI\u6f5b\u5728\u7684\u5f71\u97ff\u529b\uff0c\u516c\u53f8\u7684\u6c7a\u7b56\u4eba\u54e1\u5fc5\u9808\u6709\u6df1\u5ea6\u7684\u53c3\u8207\uff0c\u9019\u4e5f\u662f\u70ba\u4ec0\u9ebc\u6211\u5011\u8981\u518d\u4e09\u5f37\u8abf\u516c\u53f8\u6cbb\u7406\u7684\u91cd\u8981\u6027\u3002\u53ea\u628aAI\u653e\u5728\u8cc7\u8a0a\u90e8\u9580\u7684\u4f4d\u968e\uff0c\u65e2\u6709\u53ef\u80fd\u932f\u904e\u4e86\u5b83\u5728\u7b56\u7565\u4e0a\u53ef\u4ee5\u5e36\u4f86\u7684\u5de8\u5927\u6a5f\u6703\uff0c\u4e5f\u53ef\u80fd\u56e0\u6b64\u5ffd\u7565\u4e86\u5b83\u6f5b\u5728\u7684\u98a8\u96aa\u4ee5\u81f4\u516c\u53f8\u8499\u53d7\u91cd\u5927\u640d\u5931\u751a\u81f3\u5012\u9589\u3002<\/p>\n\n\n\n

*\uff1aBeena Ammanath\uff0c\u2019Trustworthy, a business guide for navigating trust and ethics in AI ,\u2019  2022, John Wiley & Sons, Inc. Hoboken, New Jersey<\/p>\n\n\n\n

2023\/5\/12 Trustworthy, a business guide for navigating trust and ethics in AI  Damakey<\/p>\n","protected":false},"excerpt":{"rendered":"

\u4ec0\u9ebc\u662fAI(Artificial Intelligence)…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[3],"tags":[],"class_list":["post-36080","post","type-post","status-publish","format-standard","hentry","category-3"],"_links":{"self":[{"href":"https:\/\/damakey.com\/index.php?rest_route=\/wp\/v2\/posts\/36080","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/damakey.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/damakey.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/damakey.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/damakey.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=36080"}],"version-history":[{"count":1,"href":"https:\/\/damakey.com\/index.php?rest_route=\/wp\/v2\/posts\/36080\/revisions"}],"predecessor-version":[{"id":36082,"href":"https:\/\/damakey.com\/index.php?rest_route=\/wp\/v2\/posts\/36080\/revisions\/36082"}],"wp:attachment":[{"href":"https:\/\/damakey.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=36080"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/damakey.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=36080"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/damakey.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=36080"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}