Perturbation Sensitivity Analysis to Detect Unintended Model Biases
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Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
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AI ethical principles are often interpreted, prioritised, contextualised, and implemented differently across the globe.
“The call for a global lens in AI accountability is not new [84,155], but the ethical principles in AI are often interpreted, prioritised, contextualised, and implemented differently across the globe [98].”
From Re-imagining Algorithmic Fairness in India and Beyond (2021) · cites this paper as [155]
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References 22 · Cited by 115
Research works printed but not linked: 2
- Maria De-Arteaga, Alexey Romanov, Hanna Wal- lach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnaram Kentha- padi, and Adam Tauman Kalai. 2019. Bias in bios: A case study of semantic representation bias in a high-stakes setting. In Proceedings of the Confer- ence on Fairness, Accountability, and Transparency, pages 120-128. ACM.
- Mark Díaz, Isaac Johnson, Amanda Lazar, Anne Marie Piper, and Darren Gergle. 2018. Addressing age- related bias in sentiment analysis. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, page 412. ACM.
- Authors
- Prabhakaran, V., Hutchinson, B., & Mitchell, M.
- Affiliations
- Google (United States) (US)
- Venue
- Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- Published
- 2019
- Pages
- 5739-5744
- OpenAlex
- W2972539067
- Cited by
- 115
- References
- 22
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 20 · 2023: 24 · 2022: 22 · 2021: 26 · 2020: 12
- FWCI
- 5.62
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Conference on Empirical Methods in Natural Language Processing (EMNLP) (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Keywords
- natural language processing models, algorithmic fairness
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