Krafft, P. M.

Toward situated interventions for algorithmic equity: lessons from the field

Katell, M., Young, M., Dailey, D., Herman, B., Guetler, V., Tam, A., Bintz, C., Raz, D., & Krafft, P. M. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 153

Defining AI in Policy versus Practice

Krafft, P. M., Young, M., Katell, M., Huang, K., & Bugingo, G. (2020) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 129

A Bayesian Cognition Approach to Improve Data Visualization

Kim, Y.-S., Walls, L. A., Krafft, P., & Hullman, J. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Data Visualization and AnalyticsBayesian Modeling and Causal Inference

Cited by 76

Municipal surveillance regulation and algorithmic accountability

Young, M., Katell, M., & Krafft, P. M. (2019) · Big Data & Society

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 51

Keeping Rumors in Proportion: Managing Uncertainty in Rumor Systems

Krafft, P. M., & Spiro, E. S. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Misinformation and Its ImpactsComplex Network Analysis Techniques

Cited by 9

Municipal Surveillance Regulation and Algorithmic Accountability

Young, M., Katell, M., & Krafft, P. M. (2019) · SSRN Electronic Journal

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 5