Trustworthy artificial intelligence implementation : introduction to the TAII framework / Josef Baker-Brunnbauer.
2023
Q334.7
Formats
| Format | |
|---|---|
| BibTeX | |
| MARCXML | |
| TextMARC | |
| MARC | |
| DublinCore | |
| EndNote | |
| NLM | |
| RefWorks | |
| RIS |
Cite
Citation
Linked e-resources
Linked Resource
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Trustworthy artificial intelligence implementation : introduction to the TAII framework / Josef Baker-Brunnbauer.
ISBN
9783031182754 (electronic bk.)
3031182758 (electronic bk.)
9783031182747
303118274X
3031182758 (electronic bk.)
9783031182747
303118274X
Published
Cham : Springer, [2023]
Copyright
©2023
Language
English
Description
1 online resource (xix, 127 pages).
Item Number
10.1007/978-3-031-18275-4 doi
Call Number
Q334.7
Dewey Decimal Classification
174/.90063
Summary
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 managements 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. .
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 19, 2022).
Series
Business guides on the go.
Available in Other Form
Print version: 9783031182747
Linked Resources
Record Appears in
Table of Contents
1. Introduction
2. Artificial Intelligence
3. Ethics and Moral
4. Business and Management Perspective
5. Empirical Study
6. Findings
7. TAII Framework.
2. Artificial Intelligence
3. Ethics and Moral
4. Business and Management Perspective
5. Empirical Study
6. Findings
7. TAII Framework.