02846cam a22003495i 45000010009000000050017000090060019000260070015000450080041000600200018001010200018001190200018001370200018001550240035001730350026002080400016002340410012002500500011002621000097002732450124003702500018004942640075005124900042005875050142006295201531007716500034023026500020023366500042023566500028023986500028024268300042024541268199420251013170714.0m        d        cr  n         221122s2023    sz |    o    |||| 0|eng d  a9783031182754  a9783031182747  a9783031182761  a97830311827787 a10.1007/978-3-031-18275-42doi  a(WaSeSS)ssj0002830074  dWaSeSSctbs  aEnglish 4aHF54.5  aBaker-Brunnbauer, Josef.0(orcid)0000-0001-6805-82901https://orcid.org/0000-0001-6805-8290.10aTrustworthy Artificial Intelligence Implementationb: Introduction to the TAII Framework c/ by Josef Baker-Brunnbauer.  aFirst edition 1aCham :bSpringer International Publishing :bImprint: Springer,c2023.1 aBusiness Guides on the Go,x2731-47660 aArtificial intelligence — Ethics and moral — Business and management perspective — Empirical study — Findings — TAII framework.  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. . 0aBusiness information services 0aBusiness ethics 0aTechnologyxMoral and ethical aspects 0aIndustrial organization 0aArtificial Intelligence 0aBusiness Guides on the Go,x2731-4766