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.

翻译：随着对已发布的各种AI伦理原则逐渐形成共识，从高层次原则到可直接用于设计和开发负责任AI系统的实用技术之间仍存在差距。我们考察了澳大利亚国家科学研究机构（CSIRO）的研究人员和工程师的实践与经验，他们参与为众多应用领域设计和开发AI系统。采用半结构化访谈法，考察参与者的实践如何与澳大利亚政府提出的一套高层次AI伦理原则相关联并保持一致。这些原则包括：（1）隐私保护与安全，（2）可靠性与安全性，（3）透明度与可解释性，（4）公平性，（5）可质疑性，（6）问责制，（7）以人为本的价值观，（8）人类、社会与环境福祉。关于访谈所得见解的讨论涵盖了各项原则之间的各种张力与权衡，并为实施每项高层次原则提供了建议。我们还提出了旨在增强相关支持机制的建议。