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Delayed Impact of Fair Machine Learning
Lydia T. Liu
, Sarah Dean
, Esther Rolf
, Max Simchowitz
, Moritz Hardt
Research output
:
Contribution to journal
›
Conference article
›
peer-review
151
Scopus citations
Overview
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Dive into the research topics of 'Delayed Impact of Fair Machine Learning'. Together they form a unique fingerprint.
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Keyphrases
Delay Effects
100%
Fairness Criteria
100%
Fair Machine Learning
100%
Conventional Wisdom
20%
Measurement Error
20%
Well-being
20%
Variables of Interest
20%
Measurement Modeling
20%
Feedback Model
20%
Natural Form
20%
Decision Change
20%
Temporal Modeling
20%
Well-being Indicators
20%
Temporal Indicators
20%
Fairness in Machine Learning
20%
Computer Science
Machine Learning
100%
Learning System
100%
Measurement Error
50%
Conventional Wisdom
50%
Underlying Population
50%
Temporal Modeling
50%
Economics, Econometrics and Finance
Machine Learning
100%
Psychology
Measurement Error
100%
Mathematics
Measurement Error
100%