
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:
Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J. Bryson, Arvind Narayanan
Science (2017) Vol. 356, Iss. 6334, pp. 183-186
Open Access | Times Cited: 2428
Aylin Caliskan, Joanna J. Bryson, Arvind Narayanan
Science (2017) Vol. 356, Iss. 6334, pp. 183-186
Open Access | Times Cited: 2428
Showing 1-25 of 2428 citing articles:
Dissecting racial bias in an algorithm used to manage the health of populations
Ziad Obermeyer, Brian W. Powers, Christine Vogeli, et al.
Science (2019) Vol. 366, Iss. 6464, pp. 447-453
Open Access | Times Cited: 3744
Ziad Obermeyer, Brian W. Powers, Christine Vogeli, et al.
Science (2019) Vol. 366, Iss. 6464, pp. 447-453
Open Access | Times Cited: 3744
The Kinetics Human Action Video Dataset
Andrew Zisserman, João Carreira, Karen Simonyan, et al.
arXiv (Cornell University) (2017)
Open Access | Times Cited: 2980
Andrew Zisserman, João Carreira, Karen Simonyan, et al.
arXiv (Cornell University) (2017)
Open Access | Times Cited: 2980
Explaining Explanations: An Overview of Interpretability of Machine Learning
Leilani H. Gilpin, David Bau, Ben Z. Yuan, et al.
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (2018), pp. 80-89
Open Access | Times Cited: 1772
Leilani H. Gilpin, David Bau, Ben Z. Yuan, et al.
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (2018), pp. 80-89
Open Access | Times Cited: 1772
ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope
Partha Pratim Ray
Internet of Things and Cyber-Physical Systems (2023) Vol. 3, pp. 121-154
Open Access | Times Cited: 1476
Partha Pratim Ray
Internet of Things and Cyber-Physical Systems (2023) Vol. 3, pp. 121-154
Open Access | Times Cited: 1476
Universal Sentence Encoder
Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 1357
Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 1357
Universal Sentence Encoder for English
Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.
(2018)
Open Access | Times Cited: 1131
Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.
(2018)
Open Access | Times Cited: 1131
Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
Milena Gianfrancesco, Suzanne Tamang, Jinoos Yazdany, et al.
JAMA Internal Medicine (2018) Vol. 178, Iss. 11, pp. 1544-1544
Open Access | Times Cited: 1047
Milena Gianfrancesco, Suzanne Tamang, Jinoos Yazdany, et al.
JAMA Internal Medicine (2018) Vol. 178, Iss. 11, pp. 1544-1544
Open Access | Times Cited: 1047
Word embeddings quantify 100 years of gender and ethnic stereotypes
Nikhil Garg, Londa Schiebinger, Dan Jurafsky, et al.
Proceedings of the National Academy of Sciences (2018) Vol. 115, Iss. 16
Open Access | Times Cited: 989
Nikhil Garg, Londa Schiebinger, Dan Jurafsky, et al.
Proceedings of the National Academy of Sciences (2018) Vol. 115, Iss. 16
Open Access | Times Cited: 989
Machine behaviour
Iyad Rahwan, Manuel Cebrián, Nick Obradovich, et al.
Nature (2019) Vol. 568, Iss. 7753, pp. 477-486
Open Access | Times Cited: 762
Iyad Rahwan, Manuel Cebrián, Nick Obradovich, et al.
Nature (2019) Vol. 568, Iss. 7753, pp. 477-486
Open Access | Times Cited: 762
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2017)
Open Access | Times Cited: 724
Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2017)
Open Access | Times Cited: 724
Language (Technology) is Power: A Critical Survey of “Bias” in NLP
Su Lin Blodgett, Solon Barocas, Hal Daumé, et al.
(2020)
Open Access | Times Cited: 678
Su Lin Blodgett, Solon Barocas, Hal Daumé, et al.
(2020)
Open Access | Times Cited: 678
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.
(2018)
Open Access | Times Cited: 627
Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.
(2018)
Open Access | Times Cited: 627
Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?
Brian Wahl, Aline Cossy-Gantner, Stefan Germann, et al.
BMJ Global Health (2018) Vol. 3, Iss. 4, pp. e000798-e000798
Open Access | Times Cited: 551
Brian Wahl, Aline Cossy-Gantner, Stefan Germann, et al.
BMJ Global Health (2018) Vol. 3, Iss. 4, pp. e000798-e000798
Open Access | Times Cited: 551
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
Fred Hohman, Minsuk Kahng, Robert Pienta, et al.
IEEE Transactions on Visualization and Computer Graphics (2018) Vol. 25, Iss. 8, pp. 2674-2693
Open Access | Times Cited: 526
Fred Hohman, Minsuk Kahng, Robert Pienta, et al.
IEEE Transactions on Visualization and Computer Graphics (2018) Vol. 25, Iss. 8, pp. 2674-2693
Open Access | Times Cited: 526
Racial disparities in automated speech recognition
Allison Koenecke, Andrew Nam, Emily Lake, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 14, pp. 7684-7689
Open Access | Times Cited: 498
Allison Koenecke, Andrew Nam, Emily Lake, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 14, pp. 7684-7689
Open Access | Times Cited: 498
The Geometry of Culture: Analyzing the Meanings of Class through Word Embeddings
Austin C Kozlowski, Matt Taddy, James A. Evans
American Sociological Review (2019) Vol. 84, Iss. 5, pp. 905-949
Open Access | Times Cited: 496
Austin C Kozlowski, Matt Taddy, James A. Evans
American Sociological Review (2019) Vol. 84, Iss. 5, pp. 905-949
Open Access | Times Cited: 496
Gender Bias in Coreference Resolution
Rachel Rudinger, Jason Naradowsky, Brian Leonard, et al.
(2018)
Open Access | Times Cited: 438
Rachel Rudinger, Jason Naradowsky, Brian Leonard, et al.
(2018)
Open Access | Times Cited: 438
Mitigating Gender Bias in Natural Language Processing: Literature Review
Tony Sun, Andrew Gaut, Shirlyn Tang, et al.
(2019)
Open Access | Times Cited: 417
Tony Sun, Andrew Gaut, Shirlyn Tang, et al.
(2019)
Open Access | Times Cited: 417
On Measuring Social Biases in Sentence Encoders
Chandler May, Alex Wang, Shikha Bordia, et al.
(2019)
Open Access | Times Cited: 417
Chandler May, Alex Wang, Shikha Bordia, et al.
(2019)
Open Access | Times Cited: 417
StereoSet: Measuring stereotypical bias in pretrained language models
Moin Nadeem, Anna Bethke, Siva Reddy
(2021)
Open Access | Times Cited: 417
Moin Nadeem, Anna Bethke, Siva Reddy
(2021)
Open Access | Times Cited: 417
Patterns of Implicit and Explicit Attitudes: I. Long-Term Change and Stability From 2007 to 2016
Tessa Elizabeth Sadie Charlesworth, Mahzarin R. Banaji
Psychological Science (2019) Vol. 30, Iss. 2, pp. 174-192
Closed Access | Times Cited: 403
Tessa Elizabeth Sadie Charlesworth, Mahzarin R. Banaji
Psychological Science (2019) Vol. 30, Iss. 2, pp. 174-192
Closed Access | Times Cited: 403
Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning
Harmanpreet Kaur, Harsha Nori, Samuel Jenkins, et al.
(2020), pp. 1-14
Closed Access | Times Cited: 402
Harmanpreet Kaur, Harsha Nori, Samuel Jenkins, et al.
(2020), pp. 1-14
Closed Access | Times Cited: 402
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: 401
Markus Langer, Daniel Oster, Timo Speith, et al.
Artificial Intelligence (2021) Vol. 296, pp. 103473-103473
Open Access | Times Cited: 401
Bias on the web
Ricardo Baeza‐Yates
Communications of the ACM (2018) Vol. 61, Iss. 6, pp. 54-61
Closed Access | Times Cited: 387
Ricardo Baeza‐Yates
Communications of the ACM (2018) Vol. 61, Iss. 6, pp. 54-61
Closed Access | Times Cited: 387
Artificial intelligence-enabled healthcare delivery
Sandeep Reddy, John Fox, Maulik Purohit
Journal of the Royal Society of Medicine (2018) Vol. 112, Iss. 1, pp. 22-28
Open Access | Times Cited: 387
Sandeep Reddy, John Fox, Maulik Purohit
Journal of the Royal Society of Medicine (2018) Vol. 112, Iss. 1, pp. 22-28
Open Access | Times Cited: 387