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AI, ethical issues and explainability -- applied biometrics / KC Santosh, Casey Wall.

9789811939358 (electronic bk.)
9811939357 (electronic bk.)
9811939349
9789811939341

Singapore : Springer, 2022.

English

1 online resource

10.1007/978-981-19-3935-8 doi

Q334.7

174/.90063

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.

Includes bibliographical references.

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Online resource; title from PDF title page (SpringerLink, viewed September 1, 2022).

SpringerBriefs in applied sciences and technology. Computational intelligence. 2625-3712

Print version: 9789811939341

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