Published: 07 June 2024
人工智能（AI）不仅发展迅速而且可能会放大人类的偏见，如何对其实施有效的治理是数据和分析领导者面临的一个挑战。本文提供了一种全面的方法，可用于扩展企业的治理框架，引入信任、透明度和多样性等AI特定的考虑因素。
人工智能（AI）正在成为企业运营和业务的关键支撑。鉴于其重要性、可扩展性和全民化趋势，企业必须对其实施有效的治理，以平衡此类技术的价值与其带来的新风险。
无论在哪个领域，良好的治理都体现出类似的特征，而这些共同的支柱同样可以为AI治理提供组织框架和基础。
AI技术格局持续演变，涉及大量对规模、可解释性、易用性、速度、技能和成本的权衡。这种复杂性，以及AI本质上作为预测性和生成式技术所固有的模糊性，导致人们难以准确判断AI可能会对企业声誉和业务以及对整个社会产生怎样的影响。
采用Gartner通用治理框架作为企业AI治理的基础模式，而后确定针对该框架的每一个支柱需要考虑哪些AI特定的因素。
界定AI用例的重要性等级，确保AI治理聚焦最关键的部分，同时建立问责制，明确相关业务、技术和伦理责任的归属。
尽早就平衡AI价值与风险的问题展开讨论，以便企业能够遵守即将出台的AI法规，采取合理、合规的AI举措。
确保多方参与，与安全、风险、审计、采购以及合规等领域的利益相关者合作，确定为实施AI治理需要采取的行动。密切关注AI工作的进展情况，以及时发现发现需要对角色、组织结构、领导力和交付要求做出调整的情况。
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Analysts:
Svetlana Sicular, Peter Krensky, Saul Judah
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