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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Mounia Lalmas,Heather O’Brien,Elad Yom-Tovcifically, we deploy a mixed method research design combining insights from semi-structured interviews and an original survey of business data ethics managers as well as the attorneys, consultants, and think tanks who advise them. The interviews and survey hone in on five key areas of inquiry: (1) t

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The Conceptual Basis of Benefits Estimation,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

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The Conceptual Basis of Benefits Estimation,tect individuals or society from the threats that corporate use of these technologies can create. To protect people against these risks, and so to safeguard their own reputations and live by their values, companies need to do more than the law requires. As the interviewees described it, business “da

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The Empowerment of Women in Diplomacy,ecent years scholars, governmental bodies, multi-stakeholder groups, industry think tanks, and even individual companies have issued model sets of data ethics and AI ethics principles. These model principles provide an initial reference point for setting substantive standards. However, the breath an

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https://doi.org/10.1007/978-3-319-75681-3 their own bottom lines. Broadly speaking, we found two types of “social good” projects. Some employed approaches to learn about, and inform individuals of, risks or opportunities to improve their lives. Others provided information to public bodies that enabled them to improve their planning efforts

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