Ethics-Based Auditing to Develop Trustworthy AI
Ethics-Based Auditing to Develop Trustworthy AI
复制标题
基于道德的审计以开发值得信赖的人工智能
作者：
Jakob Mökander;L. Floridi
最近的一系列发展表明，审计是一种很有前途的机制，可以弥合人工智能伦理原则与实践之间的差距。在目前关于基于道德操守的审计的讨论的基础上，我们提出三点意见。首先，我们认为，基于道德的审计可以提高决策质量，提高用户满意度，释放增长潜力，使立法，减轻人类的痛苦。第二，我们强调当前支持设计和实施基于道德的审计的最佳实践：为了可行和有效，基于道德的审计应采取持续和建设性的过程，从系统的角度来处理道德对齐，并与公共政策和激励道德可取的行为保持一致。第三，我们确定并讨论与道德为基础的审计的约束。只有理解和考虑这些限制，基于道德的审计才能促进人工智能的道德一致性，同时使社会能够获得自动化的全部经济和社会效益。
A series of recent developments points towards auditing as a promising mechanism to bridge the gap between principles and practice in AI ethics. Building on ongoing discussions concerning ethics-based auditing, we offer three contributions. First, we argue that ethics-based auditing can improve the quality of decision making, increase user satisfaction, unlock growth potential, enable law-making, and relieve human suffering. Second, we highlight current best practices to support the design and implementation of ethics-based auditing: To be feasible and effective, ethics-based auditing should take the form of a continuous and constructive process, approach ethical alignment from a system perspective, and be aligned with public policies and incentives for ethically desirable behaviour. Third, we identify and discuss the constraints associated with ethics-based auditing. Only by understanding and accounting for these constraints can ethics-based auditing facilitate ethical alignment of AI, while enabling society to reap the full economic and social benefits of automation.