AI, Ethical Issues and Explainability―Applied Biometrics

AI, Ethical Issues and Explainability―Applied Biometrics

Author
KC Santosh, Casey Wall
Publisher
Springer
Language
English
Year
2022
Page
70
ISBN
9811939349,9789811939341
File Type
pdf
File Size
1.9 MiB

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.

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