Responsible AI: Best Practices for Creating Trustworthy AI Systems

AI systems are solving real-world challenges and transforming industries, but there are concerns about how responsibly they operate on behalf of humans. This guide provides concrete and actionable guidance for addressing AI responsibility across the system lifecycle and all system components, with three detailed case studies.

Format: Paperback / softback
Length: 320 pages
Publication date: 17 January 2024
Publisher: Pearson Education (US)

AI systems are revolutionizing industries by solving real-world challenges, but there are growing concerns about their ethical operation. While numerous ethical principles and guidelines have been proposed, they often lack practical application. Conversely, AI/ML researchers often focus solely on algorithmic solutions, neglecting the ethical dimensions of their work. In this timely and practical guide, pioneering AI practitioners bridge these gaps. The authors delve into issues of AI responsibility throughout the system lifecycle and across all system components, providing concrete and actionable guidance for addressing them. Through three detailed case studies, they demonstrate these approaches. Written for a diverse audience, including technologists, decision-makers, students, users, and other stakeholders, the topics covered include governance mechanisms at industry, organization, and team levels, development process perspectives, system perspectives, techniques for connecting code with data and models, fairness, privacy, and explainability, and a glimpse into the future of responsible AI. By embracing these principles and techniques, the authors aim to ensure that AI systems are developed and deployed in a responsible and ethical manner, benefiting society as a whole.

Weight: 570g
Dimension: 233 x 189 x 16 (mm)
ISBN-13: 9780138073923