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Although artificial intelligence (AI) is solving real-world challenges andtransforming industries, there are serious concerns about its ability to behaveand make decisions in a responsible way. Many AI ethics principles andguidelines for responsible AI have been recently issued by governments,organisations, and enterprises. However, these AI ethics principles andguidelines are typically high-level and do not provide concrete guidance on howto design and develop responsible AI systems. To address this shortcoming, wefirst present an empirical study where we interviewed 21 scientists andengineers to understand the practitioners' perceptions on AI ethics principlesand their implementation. We then propose a template that enables AI ethicsprinciples to be operationalised in the form of concrete patterns and suggest alist of patterns using the newly created template. These patterns provideconcrete, operationalised guidance that facilitate the development ofresponsible AI systems.

Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns