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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:

Closing the AI accountability gap
Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, et al.
(2020), pp. 33-44
Open Access | Times Cited: 547

Showing 1-25 of 547 citing articles:

Large language models encode clinical knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu, et al.
Nature (2023) Vol. 620, Iss. 7972, pp. 172-180
Open Access | Times Cited: 1408
What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research
Markus Langer, Daniel Oster, Timo Speith, et al.
Artificial Intelligence (2021) Vol. 296, pp. 103473-103473
Open Access | Times Cited: 414
Trustworthy Artificial Intelligence: A Review
Davinder Kaur, Süleyman Uslu, Kaley J. Rittichier, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 2, pp. 1-38
Closed Access | Times Cited: 373
To Trust or to Think
Zana Buçinca, Maja Barbara Malaya, Krzysztof Z. Gajos
Proceedings of the ACM on Human-Computer Interaction (2021) Vol. 5, Iss. CSCW1, pp. 1-21
Open Access | Times Cited: 354
Towards a standard for identifying and managing bias in artificial intelligence
Reva Schwartz, Apostol Vassilev, Kristen Greene, et al.
(2022)
Open Access | Times Cited: 301
Trustworthy AI: From Principles to Practices
Bo Li, Peng Qi, Bo Liu, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 9, pp. 1-46
Open Access | Times Cited: 251
Towards Accountability for Machine Learning Datasets
Ben Hutchinson, Andrew Smart, Alex Hanna, et al.
(2021), pp. 560-575
Open Access | Times Cited: 206
The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers
Markus Langer, Richard N. Landers
Computers in Human Behavior (2021) Vol. 123, pp. 106878-106878
Closed Access | Times Cited: 196
Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies
Daniel Schiff
International Journal of Artificial Intelligence in Education (2021) Vol. 32, Iss. 3, pp. 527-563
Closed Access | Times Cited: 184
The uselessness of AI ethics
Luke Munn
AI and Ethics (2022) Vol. 3, Iss. 3, pp. 869-877
Open Access | Times Cited: 178
Software Engineering for AI-Based Systems: A Survey
Silverio Martínez‐Fernández, Justus Bogner, Xavier Franch, et al.
ACM Transactions on Software Engineering and Methodology (2022) Vol. 31, Iss. 2, pp. 1-59
Open Access | Times Cited: 176
Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward
Samuele Lo Piano
Humanities and Social Sciences Communications (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 174
Ethics-Based Auditing to Develop Trustworthy AI
Jakob Mökander, Luciano Floridi
Minds and Machines (2021) Vol. 31, Iss. 2, pp. 323-327
Open Access | Times Cited: 172
Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation
André Carrington, Douglas G. Manuel, Paul Fieguth, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 1, pp. 329-341
Open Access | Times Cited: 167
Where Responsible AI meets Reality
Bogdana Rakova, Jingying Yang, Henriette Cramer, et al.
Proceedings of the ACM on Human-Computer Interaction (2021) Vol. 5, Iss. CSCW1, pp. 1-23
Open Access | Times Cited: 159
Ethics as a Service: A Pragmatic Operationalisation of AI Ethics
Jessica Morley, Anat Elhalal, Francesca Garcia, et al.
Minds and Machines (2021) Vol. 31, Iss. 2, pp. 239-256
Open Access | Times Cited: 142
The algorithm audit: Scoring the algorithms that score us
Shea Brown, Jovana Davidovic, Ali Hasan
Big Data & Society (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 140
Trustworthy AI: A Computational Perspective
Haochen Liu, Yiqi Wang, Wenqi Fan, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 14, Iss. 1, pp. 1-59
Open Access | Times Cited: 134
Should ChatGPT be biased? Challenges and risks of bias in large language models
Emilio Ferrara
First Monday (2023)
Open Access | Times Cited: 133
The Fallacy of AI Functionality
Inioluwa Deborah Raji, I. Elizabeth Kumar, Aaron Horowitz, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 959-972
Open Access | Times Cited: 124
Predictability and Surprise in Large Generative Models
Deep Ganguli, Danny Hernandez, Liane Lovitt, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 1747-1764
Open Access | Times Cited: 120
capAI - A Procedure for Conducting Conformity Assessment of AI Systems in Line with the EU Artificial Intelligence Act
Luciano Floridi, Matthias Holweg, Mariarosaria Taddeo, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 114
Problematic Machine Behavior
Jack Bandy
Proceedings of the ACM on Human-Computer Interaction (2021) Vol. 5, Iss. CSCW1, pp. 1-34
Closed Access | Times Cited: 112
Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support
Michael Madaio, Lisa Egede, Hariharan Subramonyam, et al.
Proceedings of the ACM on Human-Computer Interaction (2022) Vol. 6, Iss. CSCW1, pp. 1-26
Open Access | Times Cited: 103
A manifesto on explainability for artificial intelligence in medicine
Carlo Combi, Beatrice Amico, Riccardo Bellazzi, et al.
Artificial Intelligence in Medicine (2022) Vol. 133, pp. 102423-102423
Open Access | Times Cited: 95
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