Detailansicht
Business Data Ethics
Emerging Models for Governing AI and Advanced Analytics, SpringerBriefs in Law
Hirsch, Dennis/Bartley, Timothy/Chandrasekaran, Aravind et al
ISBN/EAN: 9783031214905
Umbreit-Nr.: 7216991
Sprache:
Englisch
Umfang: xvii, 101 S., 1 s/w Illustr., 12 farbige Illustr.,
Format in cm:
Einband:
kartoniertes Buch
Erschienen am 23.11.2023
Auflage: 1/2024
- Zusatztext
- This open access book explains why, in today's economy, companies need to implement artificial intelligence (AI) in a responsible and ethical way and how they can go about doing so. Business use of AI can produce tremendous insights and benefits. But it can also invade privacy, perpetuate bias, and produce other harms that injure people and damage business reputation.The authors interviewed and surveyed AI ethics managers at leading companies. They asked why these experts see AI ethics as important, and how they seek to achieve it. This book conveys the results of that research on a concise, accessible way that readers should be able to apply to their own organizations.Much of the existing writing on AI ethics focuses either on macro-level AI ethics principles, or on micro-level product design and tooling. The interviews showed that companies need a third component: AI ethics management. This third component consists of the management structures, processes, training and substantive benchmarks that companies use to operationalize their high-level AI ethics principles and to guide and hold accountable their developers. AI ethics management is the connective tissue that makes AI ethics principles real. It is the focus of this book.This book provides a "snapshot" of AI ethics management at an array of highly sophisticated, AI-enabled companies. Other organizations, at an earlier stage in their AI journeys, should be able to draw from it useful lessons on how they, too, can pursue ethical and responsible AI and so succeed in the AI-driven economy.
- Kurztext
- Provides models for how organizations can achieve responsible and ethical AIOffers a comprehensive account of how leading companies govern their use of AIIs one of the first works to focus specifically on AI ethics management rather than AI ethics principles or toolsThis book is open access, which means that you have free and unlimited access.
- Autorenportrait
- 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.