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