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Responsible AI: Best Practices for Creating Trustworthy AI Systems
Best Practices for Creating Trustworthy AI Systems
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ISBN-13:
9780138073923
Veröffentl:
2024
Erscheinungsdatum:
10.01.2024
Seiten:
291
Autor:
Qinghua Lu
Gewicht:
577 g
Format:
231x190x22 mm
Sprache:
Englisch
Beschreibung:
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.
Preface.. . . . . . . . . . . . . . . . . xv
AI systems are solving real-world challenges and transforming industries, but there are serious concerns about how responsibly they operate on behalf of the humans that rely on them. Many ethical principles and guidelines have been proposed for AI systems, but they're often too 'high-level' to be translated into practice. Conversely, AI/ML researchers often focus on algorithmic solutions that are too 'low-level' to adequately address ethics and responsibility. In this timely, practical guide, pioneering AI practitioners bridge these gaps. The authors illuminate issues of AI responsibility across the entire system lifecycle and all system components, offer concrete and actionable guidance for addressing them, and demonstrate these approaches in three detailed case studies.