000 02932cam a22003735i 4500
001 12681994
005 20251013170714.0
006 m d
007 cr n
008 221122s2023 sz | o |||| 0|eng d
020 _a9783031182754
020 _a9783031182747
020 _a9783031182761
020 _a9783031182778
024 7 _a10.1007/978-3-031-18275-4
_2doi
035 _a(WaSeSS)ssj0002830074
040 _dWaSeSS
_ctbs
041 _aEnglish
050 4 _aHF54.5
100 _aBaker-Brunnbauer, Josef.
_0(orcid)0000-0001-6805-8290
_1https://orcid.org/0000-0001-6805-8290.
_925769
245 1 0 _aTrustworthy Artificial Intelligence Implementation
_b: Introduction to the TAII Framework
_c/ by Josef Baker-Brunnbauer.
250 _aFirst edition
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2023.
490 1 _aBusiness Guides on the Go,
_x2731-4766
505 0 _aArtificial intelligence — Ethics and moral — Business and management perspective — Empirical study — Findings — 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. .
650 0 _aBusiness information services
_97450
650 0 _aBusiness ethics
_93022
650 0 _aTechnology
_xMoral and ethical aspects
_925770
650 0 _aIndustrial organization
_93079
650 0 _aArtificial Intelligence
_914147
830 0 _aBusiness Guides on the Go,
_x2731-4766
942 _2lcc
999 _c4868
_d4868