AI, Ethical Issues and Explainability—Applied Biometrics

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Éditeur :

Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2022-08-24

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Description
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.
Pages
55 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2022-08-24
Marque
Springer
EAN papier
9789811939341
EAN PDF
9789811939358

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
5
Taille du fichier
1976 Ko
Prix
52,74 €
EAN EPUB
9789811939358

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
5
Taille du fichier
5970 Ko
Prix
52,74 €