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Trustworthy artificial intelligence ...
~
Baker-Brunnbauer, Josef.
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Trustworthy artificial intelligence implementation = introduction to the TAII framework /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Trustworthy artificial intelligence implementation/ by Josef Baker-Brunnbauer.
Reminder of title:
introduction to the TAII framework /
Author:
Baker-Brunnbauer, Josef.
Published:
Cham :Springer International Publishing : : 2023.,
Description:
xix, 127 p. :ill., digital ;24 cm.
[NT 15003449]:
1. Introduction -- 2. Artificial Intelligence -- 3. Ethics and Moral -- 4. Business and Management Perspective -- 5. Empirical Study -- 6. Findings -- 7. TAII Framework.
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence - Moral and ethical aspects. -
Online resource:
https://doi.org/10.1007/978-3-031-18275-4
ISBN:
9783031182754
Trustworthy artificial intelligence implementation = introduction to the TAII framework /
Baker-Brunnbauer, Josef.
Trustworthy artificial intelligence implementation
introduction to the TAII framework /[electronic resource] :by Josef Baker-Brunnbauer. - Cham :Springer International Publishing :2023. - xix, 127 p. :ill., digital ;24 cm. - Business guides on the go,2731-4766. - Business guides on the go..
1. Introduction -- 2. Artificial Intelligence -- 3. Ethics and Moral -- 4. Business and Management Perspective -- 5. Empirical Study -- 6. Findings -- 7. TAII Framework.
Rapidly 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.
ISBN: 9783031182754
Standard No.: 10.1007/978-3-031-18275-4doiSubjects--Topical Terms:
961670
Artificial intelligence
--Moral and ethical aspects.
LC Class. No.: Q334.7
Dewey Class. No.: 174.90063
Trustworthy artificial intelligence implementation = introduction to the TAII framework /
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1. Introduction -- 2. Artificial Intelligence -- 3. Ethics and Moral -- 4. Business and Management Perspective -- 5. Empirical Study -- 6. Findings -- 7. TAII Framework.
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Rapidly 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.
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based on 0 review(s)
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11.線上閱覽_V
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EB Q334.7
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