Sorelle A. Friedler

According to our database, Sorelle A. Friedler authored at least 46 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse.

Seung Hyun Cheon, Anneke Wernerfelt, Sorelle A. Friedler, Berk Ustun

CoRR, 2024

Identity-related Speech Suppression in Generative AI Content Moderation.

Oghenefejiro Isaacs Anigboro, Charlie M. Crawford, Danaë Metaxa, Sorelle A. Friedler

CoRR, 2024

Fast algorithms to improve fair information access in networks.

Dennis Robert Windham, Caroline J. Wendt, Alex Crane, Sorelle A. Friedler, Blair D. Sullivan, Aaron Clauset

CoRR, 2024

Auditing GPT's Content Moderation Guardrails: Can ChatGPT Write Your Favorite TV Show?

Yaaseen Mahomed, Charlie M. Crawford, Sanjana Gautam, Sorelle A. Friedler, Danaë Metaxa

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Reducing Access Disparities in Networks using Edge Augmentation✱.

Ashkan Bashardoust, Sorelle A. Friedler, Carlos Scheidegger, Blair D. Sullivan, Suresh Venkatasubramanian

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina.

Mohsen Abbasi, Calvin Barrett, Kristian Lum, Sorelle A. Friedler, Suresh Venkatasubramanian

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Approaches for Weaving Responsible Computing into Data Structures and Algorithms Courses.

Kathi Fisler, Sorelle A. Friedler, Kevin Lin, Suresh Venkatasubramanian

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Models for understanding and quantifying feedback in societal systems.

Lydia Reader, Pegah Nokhiz, Cathleen Power, Neal Patwari, Suresh Venkatasubramanian, Sorelle A. Friedler

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

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

Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian

Commun. ACM, 2021

Shapley Residuals: Quantifying the limits of the Shapley value for explanations.

Indra Kumar, Carlos Scheidegger, Suresh Venkatasubramanian, Sorelle A. Friedler

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fairness in Networks: Social Capital, Information Access, and Interventions.

Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler, Aaron Clauset

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Clustering via Information Access in a Network.

Hannah C. Beilinson, Nasanbayar Ulzii-Orshikh, Ashkan Bashardoust, Sorelle A. Friedler, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian

CoRR, 2020

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

I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler

Proceedings of the 37th International Conference on Machine Learning, 2020

Fairness warnings and fair-MAML: learning fairly with minimal data.

Dylan Slack, Sorelle A. Friedler, Emile Givental

Proceedings of the FAT* '20: Conference on Fairness, 2020

2019

Anthropogenic biases in chemical reaction data hinder exploratory inorganic synthesis.

Xiwen Jia, Allyson Lynch, Yuheng Huang, Matthew Danielson, Immaculate Lang'at, Alexander Milder, Aaron E. Ruby, Hao Wang, Sorelle A. Friedler, Alexander J. Norquist, Joshua Schrier

Nat., 2019

Automated Congressional Redistricting.

Harry A. Levin, Sorelle A. Friedler

ACM J. Exp. Algorithmics, 2019

Energy Usage Reports: Environmental awareness as part of algorithmic accountability.

Kadan Lottick, Silvia Susai, Sorelle A. Friedler, Jonathan P. Wilson

CoRR, 2019

Fair Meta-Learning: Learning How to Learn Fairly.

Dylan Slack, Sorelle A. Friedler, Emile Givental

CoRR, 2019

Assessing the Local Interpretability of Machine Learning Models.

Sorelle A. Friedler, Chitradeep Dutta Roy, Carlos Scheidegger, Dylan Slack

CoRR, 2019

Gaps in Information Access in Social Networks?

Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian

Proceedings of the World Wide Web Conference, 2019

Fairness in representation: quantifying stereotyping as a representational harm.

Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Disentangling Influence: Using disentangled representations to audit model predictions.

Charles T. Marx, Richard L. Phillips, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Fairness and Abstraction in Sociotechnical Systems.

Andrew D. Selbst, danah boyd, Sorelle A. Friedler, Suresh Venkatasubramanian, Janet Vertesi

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

A comparative study of fairness-enhancing interventions in machine learning.

Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian, Sonam Choudhary, Evan P. Hamilton, Derek Roth

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018

NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets.

Lisa Singh, Amol Deshpande, Wenchao Zhou, Arindam Banerjee, Alex J. Bowers, Sorelle A. Friedler, H. V. Jagadish, George Karypis, Zoran Obradovic, Anil Vullikanti, Wangda Zuo

SIGMOD Rec., 2018

Auditing black-box models for indirect influence.

Philip Adler, Casey Falk, Sorelle A. Friedler, Tionney Nix, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian

Knowl. Inf. Syst., 2018

Optimizing Society? Ensuring Fairness in Automated Decision-Making (Invited Talk).

Sorelle A. Friedler

Proceedings of the 16th Scandinavian Symposium and Workshops on Algorithm Theory, 2018

Interpretable Active Learning.

Richard L. Phillips, Kyu Hyun Chang, Sorelle A. Friedler

Proceedings of the Conference on Fairness, Accountability and Transparency, 2018

Runaway Feedback Loops in Predictive Policing.

Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Scheidegger, Suresh Venkatasubramanian

Proceedings of the Conference on Fairness, Accountability and Transparency, 2018

Decision making with limited feedback.

Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian

Proceedings of the Algorithmic Learning Theory, 2018

2017

Social and Technical Trade-Offs in Data Science.

Solon Barocas, danah boyd, Sorelle A. Friedler, Hanna M. Wallach

Big Data, 2017

2016

Machine-learning-assisted materials discovery using failed experiments.

Paul Raccuglia, Katherine C. Elbert, Philip Adler, Casey Falk, Malia B. Wenny, Aurelio Mollo, Matthias Zeller, Sorelle A. Friedler, Joshua Schrier, Alexander J. Norquist

Nat., 2016

On the (im)possibility of fairness.

Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian

CoRR, 2016

Auditing Black-box Models by Obscuring Features.

Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian

CoRR, 2016

Convex Hull for Probabilistic Points.

F. Betül Atalay, Sorelle A. Friedler, Dianna Xu

Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

Auditing Black-Box Models for Indirect Influence.

Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

A sensor-based framework for kinetic data compression.

Sorelle A. Friedler, David M. Mount

Comput. Geom., 2015

Certifying and Removing Disparate Impact.

Michael Feldman, Sorelle A. Friedler, John Moeller, Carlos Scheidegger, Suresh Venkatasubramanian

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Certifying and removing disparate impact.

Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian

CoRR, 2014

2011

Review of pioneering women in american mathematics: the pre-1940 PhD's by Judy Green and Jeanne LaDuke.

Sorelle A. Friedler

SIGACT News, 2011

2010

Geometric Algorithms for Objects in Motion.

Sorelle A. Friedler

PhD thesis, 2010

Change is possible: stories of women and minorities in mathematics by Patricia Clark Kenschaft, published by AMS, 2005 212 pages, softcover.

Sorelle A. Friedler

SIGACT News, 2010

Approximation algorithm for the kinetic robust K-center problem.

Sorelle A. Friedler, David M. Mount

Comput. Geom., 2010

Spatio-temporal Range Searching over Compressed Kinetic Sensor Data.

Sorelle A. Friedler, David M. Mount

Proceedings of the Algorithms, 2010

2009

Compressing Kinetic Data from Sensor Networks.

Sorelle A. Friedler, David M. Mount

Proceedings of the Algorithmic Aspects of Wireless Sensor Networks, 2009

2008

Enabling teachers to explore grade patterns to identify individual needs and promote fairer student assessment.

Sorelle A. Friedler, Yee Lin Tan, Nir J. Peer, Ben Shneiderman

Comput. Educ., 2008