Responsible AI: Best Practices for Creating Trustworthy AI Systems [Paperback]

Dr. Qinghua Lu is a principal research scientist and leads the Responsible AI science team at CSIROs Data61. She received her PhD from University of New South Wales in 2013. Her current research interests include responsible AI, software engineering for AI/GAI, and software architecture. She has published 150+ papers in premier international journals and conferences. Her recent paper titled Towards a Roadmap on Software Engineering for Responsible AI received the ACM Distinguished Paper Award. Dr. Lu is part of the OECD.AIs trustworthy AI metrics project team. She also serves a member of Australias National AI Centre Responsible AI at Scale think tank. She is the winner of the 2023 APAC Women in AI Trailblazer Award.

 

Dr./Prof. Liming Zhu is a Research Director at CSIROs Data61 and a conjoint full professor at the University of New South Wales (UNSW). He is the chairperson of Standards Australias blockchain committee and contributes to the AI trustworthiness committee. He is a member of the OECD.AI expert group on AI Risks and Accountability, as well as a member of the Responsible AI at Scale think tank at Australias National AI Centre. His research program innovates in the areas of AI/ML systems, responsible/ethical AI, software engineering, blockchain, regulation technology, quantum software, privacy, and cybersecurity. He has published more than 300 papers on software architecture, blockchain, governance and responsible AI. He delivered the keynote Software Engineering as the Linchpin of Responsible AI at the International Conference on Software Engineering (ICSE) 2023.

 

Prof. Jon Whittle is Director at CSIROs Data61, Australias national centre for R&D in data science and digital technologies. With around 850 staff and affiliates, Data61 is one of the larlÁ