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Suresh Venkatasubramanian

  1. Fairness and Abstraction in Sociotechnical Systems
    2019/01/09 by Andrew D. Selbst, danah boyd, Sorelle A. Friedler +2 · 1 voice · 134 citations
    Social Sciences · Computer Science · #Ethics and Social Impacts of AI #Innovative Human-Technology Interaction #Open Source Software Innovations
  2. Certifying and removing disparate impact
    2014/12/11 by Michael B. Feldman, Feldman, Michael, Sorelle A. Friedler +7 · 58 citations
    Social Sciences · Economics, Econometrics and Finance · #Ethics and Social Impacts of AI #Law, Economics, and Judicial Systems #Judicial and Constitutional Studies
  3. Problems with Shapley-value-based explanations as feature importance\n measures
    2020/02/25 by I. Elizabeth Kumar, Suresh Venkatasubramanian, Kumar, I. Elizabeth +5 · 26 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Bayesian Modeling and Causal Inference
  4. A comparative study of fairness-enhancing interventions in machine\n learning
    2018/02/12 by Sorelle A. Friedler, Friedler, Sorelle A., Carlos Scheidegger +9 · 17 citations
    Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks
    2021/06/10 by Michelle Bao, Angela Zhou, Bao, Michelle +13 · 9 citations
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
  6. A Gentle Introduction to the Kernel Distance
    2011/03/08 by Jeff M. Phillips, Phillips, Jeff M., Suresh Venkatasubramanian +1 · 6 citations
    Computer Science · Engineering · #Computational Geometry (cs.CG) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques #Sparse and Compressive Sensing Techniques #Topological and Geometric Data Analysis
  7. Why does Deep Learning work? - A perspective from Group Theory
    2014/12/20 by Arnab Paul, Paul, Arnab, Suresh Venkatasubramanian +1 · 1 voice
    #cs.LG #cs.NE #stat.ML
  8. Equalizing Recourse across Groups
    2019/09/07 by Vivek Gupta, Gupta, Vivek, Pegah Nokhiz +5 · 8 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
  9. Advancing Science- and Evidence-based AI Policy
    2025/07/31 by Rishi Bommasani, Sanjeev Arora, Bommasani, Rishi +37 · 1 voice · 6 citations
    Medicine · Computer Science · #Computers and Society (cs.CY) #FOS: Computer and information sciences
  10. Multiple Target Tracking with RF Sensor Networks
    2013/02/11 by Maurizio Bocca, Ossi Kaltiokallio, Bocca, Maurizio +5 · 1 citation
    Computer Science · Engineering · #Energy Efficient Wireless Sensor Networks #FOS: Computer and information sciences #Indoor and Outdoor Localization Technologies #Microwave Imaging and Scattering Analysis #Networking and Internet Architecture (cs.NI)
  11. Red Teaming AI Policy: A Taxonomy of Avoision and the EU AI Act
    2025/06/02 by Rui-Jie Yew, Yew, Rui-Jie, Bill Marino +3 · 1 voice · 2 citations
    Social Sciences · #European Criminal Justice and Data Protection
  12. Disentangling Influence: Using Disentangled Representations to Audit Model Predictions
    2019/06/20 by Charles T. Marx, Marx, Charles T., Richard L. Phillips +7 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers
    2024/07/11 by Alex Oesterling, Oesterling, Alex, Usha Bhalla +5 · 1 citation
    Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. Distinguishing Task-Specific and General-Purpose AI in Regulation
    2025/06/19 by Jennifer Wang, Andrew Selbst, Wang, Jennifer +5 · 2 voices · 1 citation
    #cs.CY #cs.AI