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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:

Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
A. Feder Cooper, Emanuel Moss, Benjamin Laufer, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 864-876
Open Access | Times Cited: 71

Showing 26-50 of 71 citing articles:

Impact of Generative Artificial Intelligence on Journalism: Practice and Deontology
Wafa’ Atieh Mohammad Harb, Mohamed Qabajeh
(2024), pp. 241-255
Closed Access | Times Cited: 2
Requirements Engineering in Machine Learning Projects
Ana Gjorgjevikj, Kostadin Mishev, Ljupcho Antovski, et al.
IEEE Access (2023) Vol. 11, pp. 72186-72208
Open Access | Times Cited: 6
Multi-Objective Hyperparameter Optimization -- An Overview
Florian Karl, Tobias Pielok, Julia Moosbauer, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 10
Machine Learning practices and infrastructures
Glen Berman
(2023), pp. 466-481
Open Access | Times Cited: 5
Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews
David Liu, Priyanka Nanayakkara, Sarah Ariyan Sakha, et al.
(2022), pp. 424-435
Open Access | Times Cited: 9
Non-Determinism and the Lawlessness of Machine Learning Code
A. Feder Cooper, Jonathan Frankle, Christopher De
(2022), pp. 1-8
Open Access | Times Cited: 8
Online Fairness Auditing through Iterative Refinement
Pranav Maneriker, Codi Burley, Srinivasan Parthasarathy
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 1665-1676
Closed Access | Times Cited: 4
AI and Law: The Next Generation
Katherine Lee, A. Feder Cooper, James Grimmelmann, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 4
Accounting for Offensive Speech as a Practice of Resistance
Mark Díaz, Razvan Amironesei, Laura Weidinger, et al.
(2022), pp. 192-202
Open Access | Times Cited: 7
Performative Ethics From Within the Ivory Tower: How CS Practitioners Uphold Systems of Oppression
Zari McFadden, Lauren Alvarez
Journal of Artificial Intelligence Research (2024) Vol. 79, pp. 777-799
Open Access | Times Cited: 1
From Fitting Participation to Forging Relationships: The Art of Participatory ML
Ned Cooper, Alexandra Zafiroglu
(2024), pp. 1-9
Open Access | Times Cited: 1
Algorithmic Transparency and Participation through the Handoff Lens: Lessons Learned from the U.S. Census Bureau’s Adoption of Differential Privacy
Amina A. Abdu, Lauren M. Chambers, Deirdre K. Mulligan, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 85, pp. 1150-1162
Open Access | Times Cited: 1
Making It Possible for the Auditing of AI: A Systematic Review of AI Audits and AI Auditability
Yueqi Li, Sanjay Goel
Information Systems Frontiers (2024)
Closed Access | Times Cited: 1
Being Accountable is Smart: Navigating the Technical and Regulatory Landscape of AI-based Services for Power Grid
Anna Volkova, Mahdieh Hatamian, Alina Anapyanova, et al.
(2024), pp. 118-126
Open Access | Times Cited: 1
Making the Unaccountable Internet: The Changing Meaning of Accounting in the Early ARPANET
A. Feder Cooper, Gili Vidan
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 726-742
Open Access | Times Cited: 6
Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH)

(2022)
Open Access | Times Cited: 6
Report of the 1st Workshop on Generative AI and Law
A. Feder Cooper, Katherine Lee, James Grimmelmann, et al.
SSRN Electronic Journal (2023)
Open Access | Times Cited: 3
Towards Massive Distribution of Intelligence for 6G Network Management using Double Deep Q-Networks
Sayantini Majumdar, Susanna Schwarzmann, Riccardo Trivisonno, et al.
(2023)
Open Access | Times Cited: 2
Safety engineering, role responsibility and lessons from the Uber ATG Tempe Accident
Philippa Conmy, John McDermid, Ibrahim Habli, et al.
(2023), pp. 1-10
Open Access | Times Cited: 2
The Role of Governance in Bridging AI Responsibility Gaps
Bhargavi Ganesh
(2023), pp. 952-954
Closed Access | Times Cited: 2
Toward Massive Distribution of Intelligence for 6G Network Management Using Double Deep Q-Networks
Sayantini Majumdar, Susanna Schwarzmann, Riccardo Trivisonno, et al.
IEEE Transactions on Network and Service Management (2023) Vol. 21, Iss. 2, pp. 2077-2094
Open Access | Times Cited: 2
Indigenous, feminine and technologist relational philosophies in the time of machine learning
Troy A. Richardson
Ethics and Education (2023) Vol. 18, Iss. 1, pp. 6-22
Closed Access | Times Cited: 1
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey
Farhad Pourpanah, Ali Etemad
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Moderating the effects of “surveillance capitalism”: an Aristotelian perspective
Ricardo F. Crespo
AI and Ethics (2023)
Closed Access | Times Cited: 1
Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems
Thomas E. Doyle, Victoria Tucci, Calvin Zhu, et al.
(2023)
Open Access | Times Cited: 1

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