Titlebook: Business Data Ethics; Emerging Models for Dennis Hirsch,Timothy Bartley,Piers Norris Turner Book‘‘‘‘‘‘‘‘ 2024 The Editor(s) (if applicable

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Dennis Hirsch,Timothy Bartley,Piers Norris TurnerProvides 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 specifica

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https://doi.org/10.1007/978-3-319-75681-3 who use their card to pay for marital counseling. This Conclusion illustrates how an organization could use the data ethics management strategies described in the prior chapters to arrive at a responsible answer to this question.

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https://doi.org/10.1007/978-3-031-21491-2AI Ethics; Data Ethics; AI Ethics Management; Responsible AI; Governance of AI; Responsible data science;

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978-3-031-21490-5The Editor(s) (if applicable) and The Author(s) 2024

LAP

Introduction, other harms that injurepeople and damage business reputation. To succeed in today’s economy, companies needto implement AI in a responsible and ethical way. The question is: How to do this? Thisbook points the way. The authors interviewed and surveyed AI ethics managers at leadingcompanies. They as

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Risks: From Privacy and Manipulation to Bias and Displacement,managers and their advisors think about advanced analytics and AI. Both survey respondents and interview participants highlighted a broad range of concerns raised by their use of advanced analytics ranging from invasion of privacy and manipulation to bias against protected classes and concerns about