Smart, Andrew

Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing

Raji, I. D., Smart, A., White, R. N., Mitchell, M., Gebru, T., Hutchinson, B., Smith-Loud, J., Theron, D., & Barnes, P. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 2,245

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

Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction

Shelby, R., Rismani, S., Henne, K., Moon, A., Rostamzadeh, N., Nicholas, P., Yilla-Akbari, N., Gallegos, J., Smart, A., Garcia, E., et al. (2023) · Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 279

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

Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing

Raji, I. D., Smart, A., White, R. N., Mitchell, M., Gebru, T., Hutchinson, B., Smith-Loud, J., Theron, D., & Barnes, P. (2020) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 179

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

Beyond model interpretability: socio-structural explanations in machine learning

Smart, A., & Kasirzadeh, A. (2025) · AI & SOCIETY

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 25

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