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East Asia and Oceania Region Special Section: Hot Topics

Operationalizing Responsible AI at Scale: CSIRO Data61's Pattern-Oriented Responsible AI Engineering Approach

By Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Didar Zowghi, Aurelie Jacquet
Communications of the ACM, July 2023, Vol. 66 No. 7, Pages 64-66
10.1145/3589946
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figures constructing robots with various images and shapes, illustration — Credit: Andrij Borys Associates, Shutterstock AI

For the world to realize the benefits brought by AI, it is important to ensure artificial intelligent (AI) systems are responsibly developed, used throughout their entire life cycle, and trusted by the humans expected to rely on them.¹ The goal for AI adoption has triggered a significant national effort to realize responsible AI (RAI) in Australia. CSIRO Data61 is the data and digital specialist arm of Australia's national science agency. In 2019, CSIRO Data61's worked with the Australian government to conduct the AI Ethics Framework research. This work led to the release of eight AI ethics principles to ensure Australia's adoption of AI is safe, secure, and reliable.^a

It is challenging to turn high-level AI ethics principles into real-life practices.

This effort is influenced by Australia and New Zealand's unique culture values, such as "fair go," indigenous community, and the wider Indo-Pacific regional thinking. To test out the impact of the framework, CSIRO Data61's interviewed CSIRO scientists in 2020 to gain insight into their implementation of ethics principles in scientific projects. In 2021, the adoption of the ethics principles was examined via case studies from some of Australia's biggest businesses.^b

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