A practical guide to Responsible Artificial Intelligence (AI)
负责任
人工智能实用指南
Everyone’s talking about responsible AI. To turn the talk into action, organisations need to make sure that their use of AI fulfills a number of criteria. First, that it’s ethically sound and complies with regulations in all respects; second, that it’s underpinned by a robust foundation of end-to-end governance; and third, that it’s supported by strong performance pillars addressing bias and fairness, interpretability and explainability, and robustness and security.
每个人都在谈论负责任的人工智能。为了将讨论转化为行动,组织需要确保他们对人工智能的使用符合许多标准。首先,它在伦理上是合理的,在各个方面都符合规则;第二,它是由一个强大的端到端治理基础支撑的;第三,它是由强有力的性能支柱支持的,解决了偏倚和公平性、可解释性和可解释性、以及健壮性和安全性。