Hanna, Alex

Data and its (dis)contents: A survey of dataset development and use in machine learning research

Paullada, A., Raji, I. D., Bender, E. M., Denton, E., & Hanna, A. (2021) · Patterns

Ethics and Social Impacts of AIMachine Learning and Data Classification

Cited by 548

Towards a critical race methodology in algorithmic fairness

Hanna, A., Denton, R., Smart, A., & Smith-Loud, J. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIRace, Genetics, and Society

Cited by 295

Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure

Hutchinson, B., Smart, A., Hanna, A., Denton, R., Greer, C., Kjartansson, O., Barnes, P., & Mitchell, M. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 279

AI Art and its Impact on Artists

Jiang, H. H., Brown, L., Cheng, J., Khan, M., Gupta, A., Workman, D., Hanna, A., Flowers, J., & Gebru, T. (2023) · Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society

Law, AI, and Intellectual PropertyEthics and Social Impacts of AI

Cited by 265

On the genealogy of machine learning datasets: A critical history of ImageNet

Denton, E., Hanna, A., Amironesei, R., Smart, A., & Nicole, H. (2021) · Big Data & Society

Ethics and Social Impacts of AITechnology's Impact on Media

Cited by 221

AI and the Everything in the Whole Wide World Benchmark

Raji, I. D., Bender, E. M., Paullada, A., Denton, E., & Hanna, A. (2021) · arXiv

Artificial Intelligence ApplicationsPsychiatry, Mental Health, Neuroscience

Cited by 127

Bringing the People Back In: Contesting Benchmark Machine Learning Datasets

Denton, R., Hanna, A., Amironesei, R., Smart, A., Nicole, H., & Scheuerman, M. K. (2020) · arXiv

Ethics and Social Impacts of AIFeminist Epistemology and Gender Studies

Cited by 100

Documenting Data Production Processes: A Participatory Approach for Data Work

Miceli, M., Yang, T., Alvarado Garcia, A., Posada, J., Wang, S. M., Pohl, M., & Hanna, A. (2022) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 28

The Subjects and Stages of AI Dataset Development: A Framework for Dataset Accountability

Khan, M., & Hanna, A. (2022) · SSRN Electronic Journal

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 24

CONSTRUCTING RELATIONAL AND VERIFIABLE PROTEST EVENT DATA: FOUR CHALLENGES AND SOME SOLUTIONS*

Oliver, P., Hanna, A., & Lim, C. (2023) · Mobilization: An International Quarterly

Computational and Text Analysis MethodsNews Media Framing and Political Communication

Cited by 15

Methodological Considerations for Centering Workers’ Epistemic Authority in AI Research

Miceli, M., Dinika, A.-A., Kauffman, K., Salim Wagner, C., Sachenbacher, L., Hanna, A., & Gebru, T. (2025) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIQualitative Research Methods and Ethics

Cited by 5

The Role of Expertise in Effectively Moderating Harmful Social Media Content

Abdelkadir, N. A., Yang, T., Kapania, S., Estefanos, M., Gebrekidan, F. B., Zelalem, Z., Ali, M., Berhe, R., Baker, D., Talat, Z., et al. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Hate Speech and Cyberbullying DetectionFreedom of Expression and Defamation

Cited by 5