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AI, Ethical Issues and Explainability—Applied Biometrics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	AI, Ethical Issues and Explainability—Applied Biometrics/ by KC Santosh, Casey Wall.
作者:	Santosh, KC.
其他作者:	Wall, Casey.
面頁冊數:	XIX, 55 p. 20 illus., 14 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Biometrics. -
電子資源:	https://doi.org/10.1007/978-981-19-3935-8
ISBN:	9789811939358

AI, Ethical Issues and Explainability—Applied Biometrics
Santosh, KC.

AI, Ethical Issues and Explainability—Applied Biometrics[electronic resource] /by KC Santosh, Casey Wall. - 1st ed. 2022. - XIX, 55 p. 20 illus., 14 illus. in color.online resource. - SpringerBriefs in Computational Intelligence,2625-3712. - SpringerBriefs in Computational Intelligence,.

Chapter 1. AI and ethical issues -- Chapter 2. Explainable AI -- Chapter 3. Trustworthy and explainable AI for biometrics -- Chapter 4. Illicit economy, threats, and biometrics -- Chapter 5. AI, ethical issues, and explainability for biometrics – summary and what else?.

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.`.

ISBN: 9789811939358

Standard No.: 10.1007/978-981-19-3935-8doiSubjects--Topical Terms:

677095
Biometrics.

LC Class. No.: Q342

Dewey Class. No.: 006.3

AI, Ethical Issues and Explainability—Applied Biometrics
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