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Chapter 13 - Toleration of Failures

from Part III - Challenges in Applying Data Science

Published online by Cambridge University Press:  29 September 2022

Alfred Z. Spector ,
Peter Norvig ,
Chris Wiggins  and
Jeannette M. Wing
Alfred Z. Spector
Affiliation:
Massachusetts Institute of Technology
Peter Norvig
Affiliation:
Stanford University, California
Chris Wiggins
Affiliation:
Columbia University, New York
Jeannette M. Wing
Affiliation:
Columbia University, New York
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Summary

This chapter discusses the sensitivity of data science applications to failures, failures which may occur because data science problems often have no unambiguously correct answers and because solutions are often only probabilistically correct. This chapter also discusses how to characterize uncertainty, how to minimize risks while balancing them against rewards, and how to assess liability for any residual harms that may occur, despite the best efforts to minimize them.

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Data Science in Context
Foundations, Challenges, Opportunities
 , pp. 206 - 211
Publisher: Cambridge University Press
Print publication year: 2022

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