mlsanityData to 7 Oct 2026

AI Ethics Principles in Practice: Perspectives of Designers and Developers

arXiv 2112.07467 ↗First posted 14 Dec 2021cs.CY cs.AIcited by 12

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Abstract (arXiv)

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 many application areas. 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: (1) privacy protection and security, (2) reliability and safety, (3) transparency and explainability, (4) fairness, (5) contestability, (6) accountability, (7) human-centred values, (8) human, social and environmental wellbeing. Discussions on the gained insights from the interviews include various tensions and trade-offs between the principles, and provide suggestions for implementing each high-level principle. We also present suggestions aiming to enhance associated support mechanisms.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 13 of its 107 references that are in the map. First posted on arXiv 14 Dec 2021.

Builds on

13 of 107 references.

References · 13

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1 more
  1. 2021Software Engineering for Responsible AI: An Empirical Study and Operationalised Patternscited by 9

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 6; 2024: 2; 2025: 1; 2026: 3.

12 papers.