OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
What's Wrong with Machine Bias
Clinton Castro
Ergo an Open Access Journal of Philosophy (2019) Vol. 6, Iss. 20201214
Open Access | Times Cited: 39
Clinton Castro
Ergo an Open Access Journal of Philosophy (2019) Vol. 6, Iss. 20201214
Open Access | Times Cited: 39
Showing 1-25 of 39 citing articles:
Algorithmic bias: Senses, sources, solutions
Sina Fazelpour, David Danks
Philosophy Compass (2021) Vol. 16, Iss. 8
Closed Access | Times Cited: 159
Sina Fazelpour, David Danks
Philosophy Compass (2021) Vol. 16, Iss. 8
Closed Access | Times Cited: 159
What's Wrong with Stereotyping?
Erin Beeghly
Oxford University Press eBooks (2025)
Closed Access | Times Cited: 12
Erin Beeghly
Oxford University Press eBooks (2025)
Closed Access | Times Cited: 12
Algorithmic Bias and Access to Opportunities
Lisa Herzog
Oxford University Press eBooks (2021), pp. 413-432
Open Access | Times Cited: 39
Lisa Herzog
Oxford University Press eBooks (2021), pp. 413-432
Open Access | Times Cited: 39
The Psychology of Stereotypes
Endre Begby
Oxford University Press eBooks (2021), pp. 26-42
Closed Access | Times Cited: 33
Endre Begby
Oxford University Press eBooks (2021), pp. 26-42
Closed Access | Times Cited: 33
Detection and Evaluation of Machine Learning Bias
Salem Alelyani
Applied Sciences (2021) Vol. 11, Iss. 14, pp. 6271-6271
Open Access | Times Cited: 30
Salem Alelyani
Applied Sciences (2021) Vol. 11, Iss. 14, pp. 6271-6271
Open Access | Times Cited: 30
A Starting Point for Theorizing
Erin Beeghly
Oxford University Press eBooks (2025), pp. 24-45
Closed Access
Erin Beeghly
Oxford University Press eBooks (2025), pp. 24-45
Closed Access
Prejudice and the Problem of Statistical Stereotyping
Erin Beeghly
Oxford University Press eBooks (2025), pp. 110-136
Closed Access
Erin Beeghly
Oxford University Press eBooks (2025), pp. 110-136
Closed Access
Freedom and Failing to Treat Persons as Equals
Erin Beeghly
Oxford University Press eBooks (2025), pp. 163-183
Closed Access
Erin Beeghly
Oxford University Press eBooks (2025), pp. 163-183
Closed Access
Failing to Treat Persons as Individuals
Erin Beeghly
Oxford University Press eBooks (2025), pp. 85-109
Closed Access
Erin Beeghly
Oxford University Press eBooks (2025), pp. 85-109
Closed Access
Lived Experience and the Wrongs of Stereotyping
Erin Beeghly
Oxford University Press eBooks (2025), pp. 68-84
Closed Access
Erin Beeghly
Oxford University Press eBooks (2025), pp. 68-84
Closed Access
To Stereotype Is to Discriminate
Erin Beeghly
Oxford University Press eBooks (2025), pp. 46-67
Closed Access
Erin Beeghly
Oxford University Press eBooks (2025), pp. 46-67
Closed Access
Equalized odds is a requirement of algorithmic fairness
David Gray Grant
Synthese (2023) Vol. 201, Iss. 3
Closed Access | Times Cited: 9
David Gray Grant
Synthese (2023) Vol. 201, Iss. 3
Closed Access | Times Cited: 9
What we owe to decision-subjects: beyond transparency and explanation in automated decision-making
David Gray Grant, Jeff Behrends, John Basl
Philosophical Studies (2023)
Open Access | Times Cited: 8
David Gray Grant, Jeff Behrends, John Basl
Philosophical Studies (2023)
Open Access | Times Cited: 8
Is calibration a fairness requirement?
Michele Loi, Christoph Heitz
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 2026-2034
Open Access | Times Cited: 9
Michele Loi, Christoph Heitz
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 2026-2034
Open Access | Times Cited: 9
Treating people as individuals and as members of groups
Lauritz Aastrup Munch, Nicolai Krejberg Knudsen
Philosophy and Phenomenological Research (2024)
Open Access | Times Cited: 1
Lauritz Aastrup Munch, Nicolai Krejberg Knudsen
Philosophy and Phenomenological Research (2024)
Open Access | Times Cited: 1
Algorithm-Based Sentencing and Discrimination
Kasper Lippert‐Rasmussen
Oxford University Press eBooks (2022), pp. 74-96
Closed Access | Times Cited: 7
Kasper Lippert‐Rasmussen
Oxford University Press eBooks (2022), pp. 74-96
Closed Access | Times Cited: 7
People are not coins: Morally distinct types of predictions necessitate different fairness constraints
Eleonora Viganò, Corinna Hertweck, Christoph Heitz, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 2293-2301
Open Access | Times Cited: 6
Eleonora Viganò, Corinna Hertweck, Christoph Heitz, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 2293-2301
Open Access | Times Cited: 6
Learning to Discriminate
Ben Davies, Thomas Douglas
Oxford University Press eBooks (2022), pp. 97-121
Closed Access | Times Cited: 6
Ben Davies, Thomas Douglas
Oxford University Press eBooks (2022), pp. 97-121
Closed Access | Times Cited: 6
Three Lessons for and from Algorithmic Discrimination
Frej Klem Thomsen
Res Publica (2023) Vol. 29, Iss. 2, pp. 213-235
Closed Access | Times Cited: 3
Frej Klem Thomsen
Res Publica (2023) Vol. 29, Iss. 2, pp. 213-235
Closed Access | Times Cited: 3
Should Algorithms that Predict Recidivism Have Access to Race?
Duncan Purves, Jeremy L. Davis
American Philosophical Quarterly (2023) Vol. 60, Iss. 2, pp. 205-220
Open Access | Times Cited: 2
Duncan Purves, Jeremy L. Davis
American Philosophical Quarterly (2023) Vol. 60, Iss. 2, pp. 205-220
Open Access | Times Cited: 2
