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003 ES-MaUEC
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008 220824s2022 si | s |||| 0|eng d
020 _a9789811939358
024 7 _a10.1007/978-981-19-3935-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
100 1 _aSantosh, KC
_eautor
_0(orcid)0000-0003-4176-0236
_1https://orcid.org/0000-0003-4176-0236
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aAI, Ethical Issues and Explainability-Applied Biometrics
_cby KC Santosh, Casey Wall
250 _a1st edition 2022
264 1 _aSingapore
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XIX, 55 páginas)
_b20 ilustraciones, 14 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aSpringerBriefs in Computational Intelligence
_x2625-3712
505 0 _aChapter 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 _aAI 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.`.
700 1 _aWall, Casey
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
776 0 8 _iPrinted edition:
_z9789811939341
776 0 8 _iPrinted edition:
_z9789811939365
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-3935-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_Robotics_2022
999 _c393811
_d393811