| 2021 | Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring. | Tom Shr, Sophie Hilgard, Himabindu Lakkaraju |
| 2021 | Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market. | David Solans, Francesco Fabbri, Caterina Calsamiglia, Carlos Castillo, Francesco Bonchi |
| 2021 | Digital Voodoo Dolls. | Marija Slavkovik, Clemens Stachl, Caroline Pitman, Jonathan Askonas |
| 2021 | Machine Learning and the Meaning of Equal Treatment. | Joshua Simons, Sophia Adams Bhatti, Adrian Weller |
| 2021 | On the Privacy Risks of Model Explanations. | Reza Shokri, Martin Strobel, Yair Zick |
| 2021 | Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View Data. | Hao Sheng, Keniel Yao, Sharad Goel |
| 2021 | FairOD: Fairness-aware Outlier Detection. | Shubhranshu Shekhar, Neil Shah, Leman Akoglu |
| 2021 | Rawlsian Fair Adaptation of Deep Learning Classifiers. | Kulin Shah, Pooja Gupta, Amit Deshpande, Chiranjib Bhattacharyya |
| 2021 | Fairness in the Eyes of the Data: Certifying Machine-Learning Models. | Shahar Segal, Yossi Adi, Benny Pinkas, Carsten Baum, Chaya Ganesh, Joseph Keshet |
| 2021 | A Step Toward More Inclusive People Annotations for Fairness. | Candice Schumann, Susanna Ricco, Utsav Prabhu, Vittorio Ferrari, Caroline Pantofaru |
| 2021 | The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations. | Laura Schelenz, Ivano Bison, Matteo Busso, Amalia de Gtzen, Daniel Gatica-Perez, Fausto Giunchiglia, Lakmal Meegahapola, Salvador Ruiz-Correa |
| 2021 | Moral Disagreement and Artificial Intelligence. | Pamela Robinson |
| 2021 | Causality in Neural Networks - An Extended Abstract. | Abbavaram Gowtham Reddy |
| 2021 | Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition. | Daniella Raz, Corinne Bintz, Vivian Guetler, Aaron Tam, Michael A. Katell, Dharma Dailey, Bernease Herman, P. M. Krafft, Meg Young |
| 2021 | GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. | Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong |
| 2021 | Designing Effective and Accessible Consumer Protections against Unfair Treatment in Markets where Automated Decision Making is used to Determine Access to Essential Services: A Case Study in Australia's Housing Market. | Linda Przhedetsky |
| 2021 | Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective. | Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang, Ed H. Chi, Jilin Chen, Alex Beutel |
| 2021 | We Haven't Gone Paperless Yet: Why the Printing Press Can Help Us Understand Data and AI. | Julian Posada, Nicholas Weller, Wendy H. Wong |
| 2021 | The Coloniality of Data Work in Latin America. | Julian Posada |
| 2021 | To Scale: The Universalist and Imperialist Narrative of Big Tech. | Jessica de Jesus de Pinho Pinhal |
| 2021 | Training for Implicit Norms in Deep Reinforcement Learning Agents through Adversarial Multi-Objective Reward Optimization. | Markus Peschl |
| 2021 | Fair Bayesian Optimization. | Valerio Perrone, Michele Donini, Muhammad Bilal Zafar, Robin Schmucker, Krishnaram Kenthapadi, Cdric Archambeau |
| 2021 | Quantum Fair Machine Learning. | Elija Perrier |
| 2021 | Understanding the Representation and Representativeness of Age in AI Data Sets. | Joon Sung Park, Michael S. Bernstein, Robin N. Brewer, Ece Kamar, Meredith Ringel Morris |
| 2021 | Disparate Impact of Artificial Intelligence Bias in Ridehailing Economy's Price Discrimination Algorithms. | Akshat Pandey, Aylin Caliskan |