Business Data Ethics
Springer International Publishing (Verlag)
978-3-031-21490-5 (ISBN)
This open access book explains how leading business organizations attempt to achieve the responsible and ethical use of artificial intelligence (AI) and other advanced information technologies. These technologies can produce tremendous insights and benefits. But they can also invade privacy, perpetuate bias, and otherwise injure people and society. To use these technologies successfully, organizations need to implement them responsibly and ethically. The question is: how to do this? Data ethics management, and this book, provide some answers.
The authors interviewed and surveyed data ethics managers at leading companies. They asked why these experts see data ethics as important and how they seek to achieve it. This book conveys the results of that research on a concise, accessible way.Much of the existing writing on data and AI ethics focuses either on macro-level ethical principles, or on micro-level product design and tooling. The interviews showed that companies need a third component: data ethics management. This third element consists of the management structures, processes, training and substantive benchmarks that companies use to operationalize their high-level ethical principles and to guide and hold accountable their developers. Data ethics management is the connective tissue makes ethical principles real. It is the focus of this book.
This book should be of use to organizations that wish to improve their own data ethics management efforts, legislators and policymakers who hope to build on existing management practices, scholars who study beyond compliance business behavior, and members of the public who want to understand better the threats that AI poses and how to reduce them.
Dennis D. Hirsch is Professor of Law, Professor of Computer Science, and a core faculty member of the Translational Data Analytics Institute, at The Ohio State University. Professor Hirsch is the Faculty Director of the Ohio State University Program on Data and Governance which conducts non-partisan research on, and convenes discussions about, the governance of advanced analytics and AI. Timothy Bartley is Professor of Sociology at the Washington University in Saint Louis, Department of Sociology. Aravind Chandrasekaran is Professor and Associate Dean at The Ohio State University Fisher College of Business. Davon Norris is Assistant Professor and an LSA Collegiate Fellow at the University of Michigan Department of Organizational Studies. Srinivasan Parthasarathy is Professor at The Ohio State University Department of Computer Science and Engineering and Department of Biomedical Informatics. Piers Norris Turner is Associate Professor at The Ohio State University Department of Philosophy and Director of the Ohio State University Center for Ethics and Human Values.
1. What is AI Ethics Management and Why Does it Matter?.- 2. AI Can Injure People and Damage Business Reputation.- 3. Why Companies Pursue AI Ethics Management.- 4. How to Draw Substantive Lines Between Ethical, and Unethical, Uses of AI.- 5. Management Structures and Processes for Achieving Responsible and Ethical AI.- 6. The Next Stage: AI for the Social Good.- 7. Conclusion.
"Data ethics is an evidence-based approach to understanding the use of data analytics and artificial intelligence (AI) technologies ... . Business data ethics is a cautionary tale. The concise writing and scholarship bring clarity and confidence. The critical systems thinking is a blueprint for change. Read it now before it is too late." (Ernest Hughes, Computing Reviews, February 2, 2024)
| Erscheinungsdatum | 23.11.2023 |
|---|---|
| Reihe/Serie | SpringerBriefs in Law |
| Zusatzinfo | XVII, 101 p. 13 illus., 12 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 195 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Recht / Steuern ► EU / Internationales Recht | |
| Recht / Steuern ► Öffentliches Recht | |
| Recht / Steuern ► Privatrecht / Bürgerliches Recht ► Medienrecht | |
| Schlagworte | AI ethics • AI Ethics Management • Business Ethics • Corporate Social Responsibility • Data Ethics • Ethical data analytics • Ethical data science • Governance of AI • open access • responsible AI • Responsible data science • Risk Management |
| ISBN-10 | 3-031-21490-0 / 3031214900 |
| ISBN-13 | 978-3-031-21490-5 / 9783031214905 |
| Zustand | Neuware |
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