Ethics-based Auditing to Develop Trustworthy AI
Mökander, J & Floridi, L. (2021). Ethics-based Auditing to Develop Trustworthy AI. Minds and Machines, Online first. doi: 10.1007/s11023-021-09557-8
6 Pages Posted: 23 Feb 2021
Date Written: February 1, 2021
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.
Keywords: Artificial Intelligence, Auditing, Best practice, Ethics, Governance, Process
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