用用户需求驱动的伦理保障框架，提升AI系统伦理可信度
E-LENS: User Requirements-Oriented AI Ethics Assurance
- 以用户需求、证据和验证为三大支柱构建伦理保障案例
- 通过航空安全领域的方法论实现对AI伦理的可证明保障
- 平台E-LENS已应用于招聘AI系统，验证了方法有效性
近年来，尽管人工智能伦理原则广泛出台，但在实际应用中仍难以确保其有效落实。借鉴航空等安全关键系统的保障方法，本文提出将‘伦理保障案例’引入AI伦理保障体系，构建以用户需求、证据与验证为核心的三支柱框架，并结合危险分析技术，建立用户需求导向的AI伦理保障方法。为此开发了名为E-LENS的平台，用于实现该方法。通过在一款AI驱动的人力资源筛选系统上的案例研究，验证了该方法在实际场景中提升伦理可保证性的有效性。
原文摘要 · Abstract (English)
Despite the much proliferation of AI ethical principles in recent years, there is a challenge of assuring AI ethics with current AI ethics frameworks in real-world applications. While system safety has emerged as a distinct discipline for a long time, originated from safety concerns in early aircraft manufacturing. The safety assurance is now an indispensable component in safety critical domains. Motivated by the assurance approaches for safety-critical systems such as aviation, this paper introduces the concept of AI ethics assurance cases into the AI ethics assurance. Three pillars of user requirements, evidence, and validation are proposed as key components and integrated into AI ethics assurance cases for a new approach of user requirements-oriented AI ethics assurance. The user requirements-oriented AI ethics assurance case is set up based on three pillars and hazard analysis methods used in the safety assurance of safety-critical systems. This paper also proposes a platform named Ethical-Lens (E-LENS) to implement the user requirements-oriented AI ethics assurance approach. The proposed user requirements-based E-LENS platform is then applied to assure AI ethics of an AI-driven human resource shortlisting system as a case study to show the effectiveness of the proposed approach.
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