Data, Privacy, and the Greater Good

doi:10.1017/9781108616188.007

7 - Data, Privacy, and the Greater Good

from Part I - Technology

Published online by Cambridge University Press: 18 October 2019

Eric Horvitz and

Deirdre K. Mulligan

Edited by

Ali E. Abbas

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Ali E. Abbas: Affiliation:
University of Southern California

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Summary

Large-scale aggregate analyses of anonymized data can yield valuable results and insights that address public health challenges and provide new avenues for scientific discovery. These methods can extend our knowledge and provide new tools for enhancing health and well-being. However, they raise questions about how to best address potential threats to privacy while reaping benefits for individuals and for society as a whole. The use of machine learning to make leaps across informational and social contexts to infer health conditions and risks from nonmedical data provides representative scenarios for reflections on directions with balancing innovation and regulation.

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Type: Chapter
Information: Next-Generation Ethics
Engineering a Better Society
, pp. 81 - 89
DOI: https://doi.org/10.1017/9781108616188.007 [Opens in a new window]
Publisher: Cambridge University Press
Print publication year: 2019

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