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008			221122s2023 sz | o |||| 0|eng d
020			_a9783031182754
024	7		_a10.1007/978-3-031-18275-4 _2doi
040			_aES-VaUEC _bspa _cES-VaUEC _dES-VaUE
050		4	_aQ334.7 _b2023 EB
100	1	0	_aBaker-Brunnbauer, Josef _eautor _0(orcid)0000-0001-6805-8290 _4aut _4http://id.loc.gov/vocabulary/relators/aut _9518321
245	1	0	_aTrustworthy Artificial Intelligence Implementation : _bIntroduction to the TAII Framework _cby Josef Baker-Brunnbauer
250			_a1st ed 2023
264		1	_aCham _c2023 _bSpringer International Publishing
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aBusiness Guides on the Go _x2731-4766
505	0		_a1. Introduction -- 2. Artificial Intelligence -- 3. Ethics and Moral -- 4. Business and Management Perspective -- 5. Empirical Study -- 6. Findings -- 7. TAII Framework.
520			_aRapidly developing Artificial Intelligence (AI) systems hold tremendous potential to change various domains and exert considerable influence on societies and organizations alike. More than merely a technical discipline, AI requires interaction between various professions. Based on the results of fundamental literature and empirical research, this book addresses the management's awareness of the ethical and moral aspects of AI. It seeks to fill a literature gap and offer the management guidance on tackling Trustworthy AI Implementation (TAII) while also considering ethical dependencies within the company. The TAII Framework introduced here pursues a holistic approach to identifying systemic ethical relationships within the company ecosystem and considers corporate values, business models, and common goods aspects like the Sustainable Development Goals and the Universal Declaration of Human Rights. Further, it provides guidance on the implementation of AI ethics in organisations without requiring a deeper background in philosophy and considers the social impacts outside of the software and data engineering setting. Depending on the respective legal context or area of application, the TAII Framework can be adapted and used with a range of regulations and ethical principles. This book can serve as a case study or self-review for c-level managers and students who are interested in this field. It also offers valuable guidelines and perspectives for policymakers looking to pursue an ethical approach to AI. .
988			_aSpringer_Business_2023
650		7	_2embne _aInteligencia artificial _xAspectos morales _9516582
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-18275-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE _n0
998			_b02/2024 _db _el _zSI