國立虎尾科技大學 |

AI, Ethical Issues and Explainability—Applied Biometrics

Record Type:	Language materials, printed : Monograph/item
Title/Author:	AI, Ethical Issues and Explainability—Applied Biometrics/ by KC Santosh, Casey Wall.
Author:	Santosh, KC.
other author:	Wall, Casey.
Description:	XIX, 55 p. 20 illus., 14 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	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:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

AI, Ethical Issues and Explainability—Applied Biometrics
LDR:02418nam a22003975i 4500 001 1082388
003 DE-He213
005 20220824073746.0
007 cr nn 008mamaa
008 221228s2022 si | s |||| 0|eng d
020 $a 9789811939358 $9 978-981-19-3935-8
024 7 $a 10.1007/978-981-19-3935-8 $2 doi
035 $a 978-981-19-3935-8
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Santosh, KC. $e author. $0 (orcid)0000-0003-4176-0236 $1 https://orcid.org/0000-0003-4176-0236 $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1363588
245 1 0 $a AI, Ethical Issues and Explainability—Applied Biometrics $h [electronic resource] / $c by KC Santosh, Casey Wall.
250 $a 1st ed. 2022.
264 1 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a XIX, 55 p. 20 illus., 14 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a SpringerBriefs in Computational Intelligence, $x 2625-3712
505 0 $a 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?.
520 $a 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.`.
650 0 $a Computational intelligence. $3 568984
650 0 $a Artificial intelligence. $3 559380
650 0 $a Biometric identification. $3 598553
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Biometrics. $3 677095
700 1 $a Wall, Casey. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1388039
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811939341
776 0 8 $i Printed edition: $z 9789811939365
830 0 $a SpringerBriefs in Computational Intelligence, $x 2625-3704 $3 1254760
856 4 0 $u https://doi.org/10.1007/978-981-19-3935-8
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)