Business Data Ethics
Emerging Models for Governing AI and Advanced Analytics
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Beschreibung
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.
Provides models for how organizations can achieve responsible and ethical AI Offers a comprehensive account of how leading companies govern their use of AI Is one of the first works to focus specifically on AI ethics management rather than AI ethics principles or tools This book is open access, which means that you have free and unlimited access
Autor*in
Dennis Hirsch
Themen in »Business Data Ethics«
AI Ethics Data Ethics AI Ethics Management Responsible AI Governance of AI Responsible data science Ethical data science Ethical data analytics Business ethics Corporate social responsibility Risk management Open Access
Stimmen zu »Business Data Ethics«
“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)
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