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Alexandra Chouldechova

4 papers hereh-index 8663 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.AP2
  • cs.HC1
  • stat.ME1
same name
  • Alexandra Chouldechova — 6 papers
  • Alexandra Chouldechova — 6 papers
  • Alexandra Chouldechova — 4 papers, h 9
  • Alexandra Chouldechova — 2 papers, h 4
  • Alexandra Chouldechova — 2 papers, h 2
  • Alexandra Chouldechova — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedFairer and more accurate, but for whom?

32 citations · 32 across the 2 of their papers we have counts for

collaborators

4 papers

cs.HC2021

The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies

Riccardo Fogliato, Alexandra Chouldechova, Zachary Lipton

As algorithmic risk assessment instruments (RAIs) are increasingly adopted to assist decision makers, their predictive performance and potential to promote inequity have come under…

stat.AP2021

On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes

Riccardo Fogliato, Alice Xiang, Zachary Lipton +2

The risk of re-offense is considered in decision-making at many stages of the criminal justice system, from pre-trial, to sentencing, to parole. To aid decision makers in their ass…

stat.ME2020

Fairness Evaluation in Presence of Biased Noisy Labels

Riccardo Fogliato, Max G'Sell, Alexandra Chouldechova

Risk assessment tools are widely used around the country to inform decision making within the criminal justice system. Recently, considerable attention has been devoted to the ques…

stat.AP2017★ 32 cited

Fairer and more accurate, but for whom?

Alexandra Chouldechova, Max G'Sell

Complex statistical machine learning models are increasingly being used or considered for use in high-stakes decision-making pipelines in domains such as financial services, health…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.