AI, Ethical Issues and Explainability

AI, Ethical Issues and Explainability Applied Biometrics - SpringerBriefs in Applied Sciences and Technology. Computational Intelligence

Paperback (25 Aug 2022)

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Publisher's Synopsis

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 information

ISBN: 9789811939341
Publisher: Springer Nature Singapore
Imprint: Springer
Pub date:
DEWEY: 006.3
DEWEY edition: 23
Language: English
Number of pages: 100
Weight: 118g
Height: 235mm
Width: 155mm
Spine width: 4mm