Scheidegger, Carlos

Certifying and Removing Disparate Impact

Feldman, M., Friedler, S. A., Moeller, J., Scheidegger, C., & Venkatasubramanian, S. (2015) · Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Ethics and Social Impacts of AIDiscrimination and Equality Law

Cited by 1,827

A comparative study of fairness-enhancing interventions in machine learning

Friedler, S. A., Scheidegger, C., Venkatasubramanian, S., Choudhary, S., Hamilton, E. P., & Roth, D. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 601

Auditing black-box models for indirect influence

Adler, P., Falk, C., Friedler, S. A., Nix, T., Rybeck, G., Scheidegger, C., Smith, B., & Venkatasubramanian, S. (2018) · Knowledge and Information Systems

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

Cited by 280

Auditing Black-Box Models for Indirect Influence

Adler, P., Falk, C., Friedler, S. A., Rybeck, G., Scheidegger, C., Smith, B., & Venkatasubramanian, S. (2016) · 2016 IEEE 16th International Conference on Data Mining (ICDM)

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

Cited by 280

The (Im)possibility of fairness: different value systems require different mechanisms for fair decision making

Friedler, S. A., Scheidegger, C., & Venkatasubramanian, S. (2021) · Communications of the ACM

Ethics and Social Impacts of AIPolitical Philosophy and Ethics

Cited by 262

On the (im)possibility of fairness

Friedler, S. A., Scheidegger, C., & Venkatasubramanian, S. (2016) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 247

Problems with Shapley-value-based explanations as feature importance measures

Kumar, I. E., Venkatasubramanian, S., Scheidegger, C., & Friedler, S. (2020) · arXiv

Explainable Artificial Intelligence (XAI)Privacy-Preserving Technologies in Data

Cited by 228

Runaway Feedback Loops in Predictive Policing

Ensign, D., Friedler, S. A., Neville, S., Scheidegger, C., & Venkatasubramanian, S. (2017) · arXiv

Ethics and Social Impacts of AIPolicing Practices and Perceptions

Cited by 161

Fairness in representation: quantifying stereotyping as a representational harm

Abbasi, M., Friedler, S. A., Scheidegger, C., & Venkatasubramanian, S. (2019) · Proceedings of the 2019 SIAM International Conference on Data Mining

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 44