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Ethics-Based Auditing to Develop Trustworthy AI. (arXiv:2105.00002v1 [cs.CY])

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



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