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OpenAlex Citation Counts

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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:

Algorithmic bias: Senses, sources, solutions
Sina Fazelpour, David Danks
Philosophy Compass (2021) Vol. 16, Iss. 8
Closed Access | Times Cited: 162

Showing 1-25 of 162 citing articles:

On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1565
Six Human-Centered Artificial Intelligence Grand Challenges
Özlem Özmen Garibay, Brent Winslow, Salvatore Andolina, et al.
International Journal of Human-Computer Interaction (2023) Vol. 39, Iss. 3, pp. 391-437
Open Access | Times Cited: 221
AI and the transformation of social science research
Igor Grossmann, Matthew Feinberg, Dawn C. Parker, et al.
Science (2023) Vol. 380, Iss. 6650, pp. 1108-1109
Closed Access | Times Cited: 145
LEGAL CHALLENGES OF ARTIFICIAL INTELLIGENCE AND ROBOTICS: A COMPREHENSIVE REVIEW
Chidiogo Uzoamaka Akpuokwe, Adekunle Oyeyemi Adeniyi, Seun Solomon Bakare, et al.
Computer Science & IT Research Journal (2024) Vol. 5, Iss. 3, pp. 544-561
Open Access | Times Cited: 27
Algorithmic Political Bias in Artificial Intelligence Systems
Uwe Peters
Philosophy & Technology (2022) Vol. 35, Iss. 2
Open Access | Times Cited: 56
Algorithmic fairness in business analytics: Directions for research and practice
Maria De‐Arteaga, Stefan Feuerriegel, Maytal Saar‐Tsechansky
Production and Operations Management (2022) Vol. 31, Iss. 10, pp. 3749-3770
Open Access | Times Cited: 49
The Global Governance of Artificial Intelligence: Next Steps for Empirical and Normative Research
Jonas Tallberg, Eva Erman, Markus Furendal, et al.
International Studies Review (2023) Vol. 25, Iss. 3
Open Access | Times Cited: 31
Bias in Machine Learning: A Literature Review
Konstantinos Mavrogiorgos, Athanasios Kiourtis, Argyro Mavrogiorgou, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8860-8860
Open Access | Times Cited: 11
The Ethics of Privacy and Surveillance
Carissa Véliz
Oxford University Press eBooks (2024)
Closed Access | Times Cited: 10
Human Autonomy at Risk? An Analysis of the Challenges from AI
Carina Prunkl
Minds and Machines (2024) Vol. 34, Iss. 3
Open Access | Times Cited: 10
Bias in adjudication: Investigating the impact of artificial intelligence, media, financial and legal institutions in pursuit of social justice
Kashif Javed, Jianchun Li
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0315270-e0315270
Open Access | Times Cited: 1
To Each Technology Its Own Ethics: The Problem of Ethical Proliferation
Henrik Skaug Sætra, John Danaher
Philosophy & Technology (2022) Vol. 35, Iss. 4
Open Access | Times Cited: 32
Diversity in sociotechnical machine learning systems
Sina Fazelpour, Maria De‐Arteaga
Big Data & Society (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 29
Which Skin Tone Measures Are the Most Inclusive? An Investigation of Skin Tone Measures for Artificial Intelligence
Courtney Heldreth, Ellis P. Monk, Alan T. Clark, et al.
ACM Journal on Responsible Computing (2023) Vol. 1, Iss. 1, pp. 1-21
Open Access | Times Cited: 17
Disambiguating Algorithmic Bias: From Neutrality to Justice
Elizabeth Edenberg, Alexandra Wood
(2023), pp. 691-704
Open Access | Times Cited: 14
Against the singularity hypothesis
David Thorstad
Philosophical Studies (2024)
Open Access | Times Cited: 5
Philosophical Investigations into AI Alignment: A Wittgensteinian Framework
José Antonio Pérez‐Escobar, Deniz Sarikaya
Philosophy & Technology (2024) Vol. 37, Iss. 3
Open Access | Times Cited: 5
Enabling Fairness in Healthcare Through Machine Learning
Thomas Grote, Geoff Keeling
Ethics and Information Technology (2022) Vol. 24, Iss. 3
Open Access | Times Cited: 20
Diverging Perceptions of Artificial Intelligence in Higher Education: A Comparison of Student and Public Assessments on Risks and Damages of Academic Performance Prediction in Germany
Marco Lünich, Birte Keller, Frank Marcinkowski
Computers and Education Artificial Intelligence (2024), pp. 100305-100305
Open Access | Times Cited: 4
Bias
Thomas Kelly
Oxford University Press eBooks (2022)
Closed Access | Times Cited: 18
Algorithmic Bias and Risk Assessments: Lessons from Practice
Ali Hasan, Shea Brown, Jovana Davidovic, et al.
Deleted Journal (2022) Vol. 1, Iss. 2
Open Access | Times Cited: 17
Multidisciplinary considerations of fairness in medical AI: A scoping review
Yue Wang, Yaxin Song, Zhuo Ma, et al.
International Journal of Medical Informatics (2023) Vol. 178, pp. 105175-105175
Closed Access | Times Cited: 10
Disciplining Deliberation: A Socio-technical Perspective on Machine Learning Trade-Offs
Sina Fazelpour
The British Journal for the Philosophy of Science (2025)
Open Access
A Capability Approach to AI Ethics
Emanuele Ratti, Mark Graves
American Philosophical Quarterly (2025) Vol. 62, Iss. 1, pp. 1-16
Closed Access
The Epistemic Cost of Opacity: How the Use of Artificial Intelligence Undermines the Knowledge of Medical Doctors in High-Stakes Contexts
Eva Schmidt, Paul Martin Putora, Rianne Fijten
Philosophy & Technology (2025) Vol. 38, Iss. 1
Open Access
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