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ArticleMeasuring discrimination in algorithmic decision making

Indrė Žliobaitė2017

OA

Articlegreen2017

Measuring discrimination in algorithmic decision making

Indrė Žliobaitė

273 citations·0/0 files stored·Data Mining and Knowledge Discovery

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Ethics and Social Impacts of AI Discrimination and Equality Law Explainable Artificial Intelligence (XAI)

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References

2012Fairness through awareness 2014Big Data's Disparate Impact 2016Equality of Opportunity in Supervised Learning 2015Certifying and Removing Disparate Impact 2015THE THEORY OF DISCRIMINATION 2013Learning Fair Representations 2016Inherent Trade-Offs in the Fair Determination of Risk Scores 2010Three naive Bayes approaches for discrimination-free classification

Cited by

2020Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities 2020Designing fair AI for managing employees in organizations: a review, critique, and design agenda 2021The (Im)possibility of fairness 2022A survey on datasets for fairness‐aware machine learning 2019Classification with Fairness Constraints 2018Value-Sensitive Algorithm Design 2019

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Year2017

Typearticle

Published2017-03-31

VenueData Mining and Knowledge Discovery

ISSN-L1384-5810

Languageen

Citations273

Files0 public / 0

ShelfEthics and Social Impacts of AI

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doi10.1007/s10618-017-0506-1

openalex_workW2597425331

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Big Data and discrimination: perils, promises and solutions. A systematic review

2019Democratizing Algorithmic Fairness