AI Ethics Principles in Practice: Perspectives of Designers and Developers
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As consensus across the various published AI ethics principles is approached, a gap remains between high-level principles and practical techniques that can be readily adopted to design and develop responsible AI systems. We examine the practices and experiences of researchers and engineers from Australia's national scientific research agency (CSIRO), who are involved in designing and developing AI systems for a range of purposes. Semi-structured interviews were used to examine how the practices of the participants relate to and align with a set of high-level AI ethics principles proposed by the Australian Government. The principles comprise: Privacy Protection Security, Reliability Safety, Transparency Explainability, Fairness, Contestability, Accountability, Human-centred Values, and Human, Social Environmental Wellbeing. The insights of the researchers and engineers as well as the challenges that arose for them in the practical application of the principles are examined. Finally, we propose a set of organisational responses (learning, process, practice, strategy, policy) to support the implementation of high-level AI ethics principles into practice.
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