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)

Compressing Kinetic Data from Sensor Networks. - Sorelle A. Friedler; David M. Mount (ALGOSENSORS, 2009)

Spatio-temporal Range Searching over Compressed Kinetic Sensor Data. - Sorelle A. Friedler; David M. Mount (ESA (1), 2010)

Approximation algorithm for the kinetic robust K-center problem. - Sorelle A. Friedler; David M. Mount (Comput. Geom., 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)

Geometric Algorithms for Objects in Motion. - Sorelle A. Friedler (2010)

Review of pioneering women in american mathematics: the pre-1940 PhD's by Judy Green and Jeanne LaDuke. - Sorelle A. Friedler (SIGACT News, 2011)

Certifying and removing disparate impact. - Sorelle A. Friedler; Carlos Scheidegger; Suresh Venkatasubramanian (CoRR, 2014)

Certifying and Removing Disparate Impact. - Michael Feldman 002; Sorelle A. Friedler; John Moeller; Carlos Scheidegger; Suresh Venkatasubramanian (KDD, 2015)

A sensor-based framework for kinetic data compression. - Sorelle A. Friedler; David M. Mount (Comput. Geom., 2015)

Auditing Black-Box Models for Indirect Influence. - Philip Adler; Casey Falk; Sorelle A. Friedler; Gabriel Rybeck; Carlos Scheidegger; Brandon Smith; Suresh Venkatasubramanian (ICDM, 2016)

Convex Hull for Probabilistic Points. - F. Betül Atalay; Sorelle A. Friedler; Dianna Xu (SIBGRAPI, 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)

On the (im)possibility of fairness. - Sorelle A. Friedler; Carlos Scheidegger; Suresh Venkatasubramanian (CoRR, 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)

Social and Technical Trade-Offs in Data Science. - Solon Barocas; danah boyd; Sorelle A. Friedler; Hanna M. Wallach (Big Data, 2017)

Decision making with limited feedback. - Danielle Ensign; Sorelle A. Friedler; Scott Neville; Carlos Eduardo Scheidegger; Suresh Venkatasubramanian (ALT, 2018)

Runaway Feedback Loops in Predictive Policing. - Danielle Ensign; Sorelle A. Friedler; Scott Neville; Carlos Scheidegger; Suresh Venkatasubramanian (FAT, 2018)

Interpretable Active Learning. - Richard L. Phillips; Kyu Hyun Chang; Sorelle A. Friedler (FAT, 2018)

Optimizing Society? Ensuring Fairness in Automated Decision-Making (Invited Talk). - Sorelle A. Friedler (SWAT, 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)

NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets. - Lisa Singh; Amol Deshpande; Wenchao Zhou; Arindam Banerjee 001; Alex J. Bowers; Sorelle A. Friedler; H. V. Jagadish; George Karypis; Zoran Obradovic; Anil Vullikanti; Wangda Zuo (SIGMOD Rec., 2018)

A comparative study of fairness-enhancing interventions in machine learning. - Sorelle A. Friedler; Carlos Scheidegger; Suresh Venkatasubramanian; Sonam Choudhary; Evan P. Hamilton; Derek Roth (FAT, 2019)

Fairness and Abstraction in Sociotechnical Systems. - Andrew D. Selbst; danah boyd; Sorelle A. Friedler; Suresh Venkatasubramanian; Janet Vertesi (FAT, 2019)

Disentangling Influence: Using disentangled representations to audit model predictions. - Charles T. Marx; Richard L. Phillips; Sorelle A. Friedler; Carlos Scheidegger; Suresh Venkatasubramanian (NeurIPS, 2019)

Fairness in representation: quantifying stereotyping as a representational harm. - Mohsen Abbasi; Sorelle A. Friedler; Carlos Scheidegger; Suresh Venkatasubramanian (SDM, 2019)

Gaps in Information Access in Social Networks? - Benjamin Fish; Ashkan Bashardoust; danah boyd; Sorelle A. Friedler; Carlos Scheidegger; Suresh Venkatasubramanian (WWW, 2019)

Assessing the Local Interpretability of Machine Learning Models. - Sorelle A. Friedler; Chitradeep Dutta Roy; Carlos Scheidegger; Dylan Slack (CoRR, 2019)

Fair Meta-Learning: Learning How to Learn Fairly. - Dylan Slack; Sorelle A. Friedler; Emile Givental (CoRR, 2019)

Energy Usage Reports: Environmental awareness as part of algorithmic accountability. - Kadan Lottick; Silvia Susai; Sorelle A. Friedler; Jonathan P. Wilson (CoRR, 2019)

Automated Congressional Redistricting. - Harry A. Levin; Sorelle A. Friedler (ACM J. Exp. Algorithmics, 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)

Fairness warnings and fair-MAML: learning fairly with minimal data. - Dylan Slack; Sorelle A. Friedler; Emile Givental (FAT*, 2020)

Problems with Shapley-value-based explanations as feature importance measures. - I. Elizabeth Kumar; Suresh Venkatasubramanian; Carlos Scheidegger; Sorelle A. Friedler (ICML, 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)

Fairness in Networks: Social Capital, Information Access, and Interventions. - Suresh Venkatasubramanian; Carlos Scheidegger; Sorelle A. Friedler; Aaron Clauset (KDD, 2021)

Shapley Residuals: Quantifying the limits of the Shapley value for explanations. - Indra Kumar; Carlos Scheidegger; Suresh Venkatasubramanian; Sorelle A. Friedler (NeurIPS, 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)

Models for understanding and quantifying feedback in societal systems. - Lydia Reader; Pegah Nokhiz; Cathleen Power; Neal Patwari; Suresh Venkatasubramanian; Sorelle A. Friedler (FAccT, 2022)

Approaches for Weaving Responsible Computing into Data Structures and Algorithms Courses. - Kathi Fisler; Sorelle A. Friedler; Kevin Lin; Suresh Venkatasubramanian (SIGCSE (2), 2022)

Energy and Carbon Considerations of Fine-Tuning BERT. - Xiaorong Wang; Clara Na; Emma Strubell; Sorelle A. Friedler; Sasha Luccioni (EMNLP (Findings), 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 (FAccT, 2023)

Reducing Access Disparities in Networks using Edge Augmentation✱. - Ashkan Bashardoust; Sorelle A. Friedler; Carlos Scheidegger; Blair D. Sullivan; Suresh Venkatasubramanian (FAccT, 2023)

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 (FAccT, 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)

Identity-related Speech Suppression in Generative AI Content Moderation. - Oghenefejiro Isaacs Anigboro; Charlie M. Crawford; Danaë Metaxa; Sorelle A. Friedler (CoRR, 2024)

Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse. - Seung Hyun Cheon; Anneke Wernerfelt; Sorelle A. Friedler; Berk Ustun (ICLR, 2025)

Equalizing Closeness Centralities via Edge Additions. - Alex Crane; Sorelle A. Friedler; Mihir Patel; Blair D. Sullivan (CoRR, 2025)

Edge interventions can mitigate demographic and prestige disparities in the Computer Science coauthorship network. - Kate Barnes; Mia Ellis-Einhorn; Carolina Chávez-Ruelas; Nayera Hasan; Mohammad Fanous; Blair D. Sullivan; Sorelle A. Friedler; Aaron Clauset (CoRR, 2025)