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AI, ethical issues and explainabilityapplied biometrics /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	AI, ethical issues and explainabilityby KC Santosh, Casey Wall.
其他題名:	applied biometrics /
作者:	Santosh, K. C.
其他作者:	Wall, Casey.
出版者:	Singapore :Springer Nature Singapore :2022.
面頁冊數:	xix, 55 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligenceMoral and ethical aspects.
電子資源:	https://doi.org/10.1007/978-981-19-3935-8
ISBN:	9789811939358$q(electronic bk.)

AI, ethical issues and explainabilityapplied biometrics /
Santosh, K. C.

AI, ethical issues and explainabilityapplied biometrics /[electronic resource] :by KC Santosh, Casey Wall. - Singapore :Springer Nature Singapore :2022. - xix, 55 p. :ill., digital ;24 cm. - 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$q(electronic bk.)

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

611796
Artificial intelligence
--Moral and ethical aspects.

LC Class. No.: Q334.7 / .S35 2022

Dewey Class. No.: 174.90063

AI, ethical issues and explainabilityapplied biometrics /
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