Ethical Data Science: Prediction in the Public Interest

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Anne L. Washington (Assistant Professor of Data Policy, Assistant Professor of Data Policy, New York University)

Ethical Data Science

Prediction in the Public Interest

Anne L. Washington (Assistant Professor of Data Policy, Assistant Professor of Data Policy, New York University)

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English

Oxford University Press Inc
23 January 2024

Ethics & moral philosophy; Law & society; IT & Communications law; Computer science

Series: Oxford Technology Law and Policy

Can data science truly serve the public interest? Data-driven analysis shapes many interpersonal, consumer, and cultural experiences yet scientific solutions to social problems routinely stumble. All too often, predictions remain solely a technocratic instrument that sets financial interests against service to humanity. Amidst a growing movement to use science for positive change, Anne L. Washington offers a solution-oriented approach to the ethical challenges of data science. Ethical Data Science empowers those striving to create predictive data technologies that benefit more people. As one of the first books on public interest technology, it provides a starting point for anyone who wants human values to counterbalance the institutional incentives that drive computational prediction. It argues that data science prediction embeds administrative preferences that often ignore the disenfranchised. The book introduces the prediction supply chain to highlight moral questions alongside the interlocking legal and commercial interests influencing data science. Structured around a typical data science workflow, the book systematically outlines the potential for more nuanced approaches to transforming data into meaningful patterns. Drawing on arts and humanities methods, it encourages readers to think critically about the full human potential of data science step-by-step. Situating data science within multiple layers of effort exposes dependencies while also pinpointing opportunities for research ethics and policy interventions.

This approachable process lays the foundation for broader conversations with a wide range of audiences. Practitioners, academics, students, policy makers, and legislators can all learn how to identify social dynamics in data trends, reflect on ethical questions, and deliberate over solutions. The book proves the limits of predictive technology controlled by the few and calls for more inclusive data science.

By: Anne L. Washington (Assistant Professor of Data Policy Assistant Professor of Data Policy New York University)
Imprint: Oxford University Press Inc
Country of Publication: United States
Dimensions: Height: 160mm, Width: 221mm, Spine: 31mm
Weight: 406g
ISBN: 9780197693025
ISBN 10: 0197693024
Series: Oxford Technology Law and Policy
Pages: 184
Publication Date: 23 January 2024
Audience: College/higher education , Further / Higher Education
Format: Hardback
Publisher's Status: Active

Anne L. Washington PhD leverages her expertise in government data to improve technology policy. She is a computer science graduate of Brown University, with a master's degree in library and information science (MLIS) from Rutgers University, as well as a doctorate from The George Washington University School of Business in Information Systems and Technology Management. Before her academic career, she worked at Barclays Global Investors, the Library of Congress, and Apple Computers. The US National Science Foundation has recognized her research multiple times, and she is the recipient of a 2018 NSF CAREER award.

Reviews for Ethical Data Science: Prediction in the Public Interest

Legal practitioners who specialise in data protection law, or who have responsibility for data protection training within their organisation, may find that the real-world case studies, and detailed reference sections, alone justify the relatively modest financial outlay required. * Sean Gordon, Law Society Gazette *