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Book Cover
E-book
Author Santosh, K. C.

Title AI, ethical issues and explainability -- applied biometrics KC Santosh, Casey Wall
Published Singapore : Springer, 2022

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Description 1 online resource
Series SpringerBriefs in applied sciences and technology, Computational intelligence, 2625-3712
SpringerBriefs in applied sciences and technology. Computational intelligence. 2625-3712
Contents Chapter 1. AI and ethical issues -- Chapter 2. Explainable AI -- Chapter 3. Trustworthy and explainable AI for biometrics -- Chapter 4. Illicit economy, threats, and biometrics -- Chapter 5. AI, ethical issues, and explainability for biometrics summary and what else?
Summary AI has contributed a lot and biometrics is no exception. To make AI solutions commercialized/fully functional, one requires trustworthy and explainable AI (XAI) solutions while respecting ethical issues. Within the scope of biometrics, the book aims at both revisiting ethical AI principles by taking into account state-of-the-art AI-guided tools and their responsibilities i.e., responsible AI. With this, the long-term goal is to connect with how we can enhance research communities that effectively integrate computational expertise (with both explainability and ethical issues). It helps combat complex and elusive global security challenges that address our national concern in understanding and disrupting the illicit economy
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (SpringerLink, viewed September 1, 2022)
Subject Artificial intelligence -- Moral and ethical aspects
Biometric identification -- Moral and ethical aspects
Artificial intelligence -- Moral and ethical aspects
Form Electronic book
Author Wall, Casey, author
ISBN 9789811939358
9811939357