Ethical Data Science - Prediction in the Public Interest

Amidst a growing movement to use science for positive change, Ethical Data Science offers a solution-oriented approach to the ethical challenges of data science. 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.

List of contents

• Introduction: Ethical data science


• Prologue: Tracking ethics in a prediction supply chain


• 1: SOURCE - Data are people too


• 2: MODEL - Dear validity: Advice for wayward algorithms


• 3: COMPARE - Category hacking


• 4: OPTIMIZE - Data science reasoning


• 5: LEARN - For good


• 6: Show us your work or someone gets hurt


• 7: Prediction in the public interest


• References


• Index

About the author

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.

Summary

Amidst a growing movement to use science for positive change, Ethical Data Science offers a solution-oriented approach to the ethical challenges of data science. 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.

Additional text

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.

Product details

• Authors: WASHINGTON, Anne L. Washington, Anne L. (Assistant Professor of Data P Washington
• Publisher: Oxford University Press
• Languages: English
• Product format: Hardback
• Released: 11.12.2023
• EAN: 9780197693025
• ISBN: 978-0-19-769302-5
• No. of pages: 184
• Series: Oxford Technology Law and Policy
• Subjects: Non-fiction book > Philosophy, religion > Philosophy: general, reference works; Social sciences, law, business > Law > International law, foreign law; SOCIAL SCIENCE / Sociology / General, PHILOSOPHY / Ethics & Moral Philosophy, COMPUTERS / Computer Science, LAW / Communications, LAW / Computer & Internet, computer science, Ethics & moral philosophy, Ethics and moral philosophy, Law & society, Law and society, sociology of law, IT and Communications law / Postal laws and regulations, IT & Communications law