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AI, Ethical Issues and Explainability-Applied Biometrics

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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.

Book Author

Casey Wall, Kc Santosh

Book Series

SpringerBriefs in Applied Sciences and Technology

ISBN

9789811939341

Language

English

Publisher

Springer

Publication Date

08-23-2022

Format

eBook

Pages

185

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