Birhane, Abeba

Taxonomy of Risks posed by Language Models

Weidinger, L., Uesato, J., Rauh, M., Griffin, C., Huang, P.-S., Mellor, J., Glaese, A., Cheng, M., Balle, B., Kasirzadeh, A., et al. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 764

Algorithmic injustice: A relational ethics approach

Birhane, A. (2021) · Patterns

Ethics and Social Impacts of AIFeminist Epistemology and Gender Studies

Cited by 707

Ethical and social risks of harm from Language Models

Weidinger, L., Mellor, J., Rauh, M., Griffin, C., Uesato, J., Huang, P.-S., Cheng, M., Glaese, M., Balle, B., Kasirzadeh, A., et al. (2021) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 477

Algorithmic Colonization of Africa

Birhane, A. (2020) · SCRIPTed: A Journal of Law, Technology & Society

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 349

Science in the age of large language models

Birhane, A., Kasirzadeh, A., Leslie, D., & Wachter, S. (2023) · Nature Reviews Physics

Ethics and Social Impacts of AIAcademic integrity and plagiarism

Cited by 344

Power to the People? Opportunities and Challenges for Participatory AI

Birhane, A., Isaac, W., Prabhakaran, V., Diaz, M., Elish, M. C., Gabriel, I., & Mohamed, S. (2022) · Equity and Access in Algorithms Mechanisms and Optimization

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 330

The Values Encoded in Machine Learning Research

Birhane, A., Kalluri, P., Card, D., Agnew, W., Dotan, R., & Bao, M. (2021) · arXiv

Ethics and Social Impacts of AIComputational and Text Analysis Methods

Cited by 317

The Values Encoded in Machine Learning Research

Birhane, A., Kalluri, P., Card, D., Agnew, W., Dotan, R., & Bao, M. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIComputational and Text Analysis Methods

Cited by 317

Large image datasets: A pyrrhic win for computer vision?

Birhane, A., & Prabhu, V. U. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)

Ethics and Social Impacts of AIAdvanced Neural Network Applications

Cited by 257

Multimodal datasets: misogyny, pornography, and malignant stereotypes

Birhane, A., Prabhu, V. U., & Kahembwe, E. (2021) · arXiv

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 160

AI auditing: The Broken Bus on the Road to AI Accountability

Birhane, A., Steed, R., Ojewale, V., Vecchione, B., & Raji, I. D. (2024) · 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 158

How AI can distort human beliefs

Kidd, C., & Birhane, A. (2023) · Science

Ethics and Social Impacts of AIMisinformation and Its Impacts

Cited by 151

Large image datasets: A pyrrhic win for computer vision?

Prabhu, V. U., & Birhane, A. (2020) · arXiv

Ethics and Social Impacts of AIAdvanced Neural Network Applications

Cited by 91

Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling

Ojewale, V., Steed, R., Vecchione, B., Birhane, A., & Raji, I. D. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 81

ChatGPT one year on: who is using it, how and why?

Ghassemi, M., Birhane, A., Bilal, M., Kankaria, S., Malone, C., Mollick, E., & Tustumi, F. (2023) · Nature

Artificial Intelligence ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 41

Into the LAION’s Den: Investigating Hate in Multimodal Datasets

Birhane, A., Prabhu, V., Han, S., Boddeti, V., & Luccioni, S. (2023) · Advances in Neural Information Processing Systems 36

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 33

The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models

Birhane, A., Dehdashtian, S., Prabhu, V., & Boddeti, V. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 28

The reanimation of pseudoscience in machine learning and its ethical repercussions

Andrews, M., Smart, A., & Birhane, A. (2024) · Patterns

Ethics and Social Impacts of AIAcademic integrity and plagiarism

Cited by 18