Abstract
This paper addresses the privacy component of broader artificial intelligence (AI) ethical considerations. We begin with an overview of the regulatory landscape, or lack thereof, and then call out the specific provisions of EU data protection law applicable to AI while focusing on examples of country-specific approaches, including some recent regulatory action. This regulatory action is particularly insightful since it identifies the key challenges that companies face, or will eventually face, when adopting AI-based solutions. These challenges include how to anticipate and prevent bias in automated decision making (ADM) and how to provide transparency to data subjects, despite the complexity of machine learning processes, while protecting business secrets and know-how.
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