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'Un'Fair Machine Learning Algorithms · Study

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Article'Un'Fair Machine Learning Algorithms

Runshan Fu2019

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Articlegreen2019

'Un'Fair Machine Learning Algorithms

Runshan Fu · Manmohan Aseri · Param Vir Singh · Kannan Srinivasan

80 citations·0/0 files stored·Management Science

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Ethics and Social Impacts of AI Game Theory and Voting Systems Explainable Artificial Intelligence (XAI)

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References

2014Big Data's Disparate Impact 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments 2017Algorithmic Decision Making and the Cost of Fairness 2021Predictably Unequal? The Effects of Machine Learning on Credit Markets 2017Human Decisions and Machine Predictions 2020A snapshot of the frontiers of fairness in machine learning 2018A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions 2019Delayed Impact of Fair Machine Learning

Cited by

2023The Anchoring Effect, Algorithmic Fairness, and the Limits of Information Transparency for Emotion Artificial Intelligence 2023Algorithmic Fairness in AI 2022The statistical fairness field guide: perspectives from social and formal sciences 2022Integrating Behavioral, Economic, and Technical Insights to Understand and Address Algorithmic Bias: A Human-Centric Perspective 2023Measuring responsible artificial intelligence (RAI) in banking: a valid and reliable instrument

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Details

Year2019

Typearticle

Published2019-01-01

VenueManagement Science

ISSN-L0025-1909

Languageen

Citations80

Files0 public / 0

ShelfEthics and Social Impacts of AI

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doi10.1287/mnsc.2021.4065

openalex_workW3206540055

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