Table of Contents

• FairMILE: Towards an Efficient Framework for Fair Graph Representation LearningYuntian He, Saket Gurukar, Srinivasan Parthasarathy 0001. [doi]
• An Epistemic Lens on Algorithmic FairnessElizabeth Edenberg, Alexandra Wood. [doi]
• Characterizing Manipulation from AI SystemsMicah Carroll, Alan Chan, Henry Ashton, David Krueger. [doi]
• The Unequal Opportunities of Large Language Models: Examining Demographic Biases in Job Recommendations by ChatGPT and LLaMAAbel Salinas, Parth Vipul Shah, Yuzhong Huang, Robert McCormack, Fred Morstatter. [doi]
• Strategic EvaluationBenjamin Laufer, Jon M. Kleinberg, Karen Levy, Helen Nissenbaum. [doi]
• Empowering Collective Impact: Introducing SWAP for Resource SharingWeixiao Huang, Elise Jade Deshusses, Jennifer Ann Pazour, Yunus Dogan Telliel, Sarah Eliza Stanlick, Andrew Christopher Trapp. [doi]
• Inclusive Portraits: Race-Aware Human-in-the-Loop TechnologyClaudia Flores-Saviaga, Christopher Curtis, Saiph Savage. [doi]
• Fairness Without Demographic Data: A Survey of ApproachesCarolyn Ashurst, Adrian Weller. [doi]
• Exploring Police Perspectives on Algorithmic Transparency: A Qualitative Analysis of Police Interviews in the UKMiri Zilka, Carolyn Ashurst, Luke Chambers, Ellen P. Goodmann, Pamela Ugwudike, Marion Oswald. [doi]
• The Participatory Turn in AI Design: Theoretical Foundations and the Current State of PracticeFernando Delgado, Stephen Yang, Michael Madaio, Qian Yang. [doi]
• FATE in AI: Towards Algorithmic Inclusivity and AccessibilityIsa Inuwa-Dutse. [doi]
• Setting the Right Expectations: Algorithmic Recourse Over TimeJoão Fonseca, Andrew Bell, Carlo Abrate, Francesco Bonchi, Julia Stoyanovich. [doi]
• The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future ImprovementsMichael Feffer, Nikolas Martelaro, Hoda Heidari. [doi]
• Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive AdvancementsMaryam Molamohammadi, Afaf Taïk, Nicolas Le Roux, Golnoosh Farnadi. [doi]
• FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural NetworksKiarash Mohammadi, Aishwarya Sivaraman, Golnoosh Farnadi. [doi]
• Informational Diversity and Affinity Bias in Team Growth DynamicsHoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy. [doi]
• Policy Fairness and Unknown Bias Dynamics in Sequential AllocationsMeirav Segal, Anne-Marie George, Christos Dimitrakakis. [doi]
• Deploying a Robust Active Preference Elicitation Algorithm on MTurk: Experiment Design, Interface, and Evaluation for COVID-19 Patient PrioritizationCaroline M. Johnston, Patrick Vossler, Simon Blessenohl, Phebe Vayanos. [doi]
• Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and ToolsEmily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari. [doi]
• Designing Fiduciary Artificial IntelligenceSebastian Benthall, David Shekman. [doi]
• Average Envy-freeness for Indivisible ItemsQishen Han, Biaoshuai Tao, Lirong Xia. [doi]
• Towards a Better Understanding of the Computer Vision Research Community in AfricaMennatullah Siam. [doi]
• Optimizing Sponsored Humanitarian ParoleFatemeh Farajzadeh, Ryan Baylor Killea, Alexander Teytelboym, Andrew Christopher Trapp. [doi]
• Algorithmic Censoring in Dynamic Learning SystemsJennifer Chien, Margaret E. Roberts, Berk Ustun. [doi]
• Addressing Strategic Manipulation Disparities in Fair ClassificationVijay Keswani, L. Elisa Celis. [doi]
• Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the DifferenceJosé Manuel Álvarez Colmenares, Salvatore Ruggieri. [doi]
• Mitigating demographic bias of machine learning models on social mediaYanchen Wang, Lisa Singh. [doi]
• Test Scores, Classroom Performance, and Capacity in Academically Selective School Program AdmissionsNabit Bajwa, Sanmay Das. [doi]
• Is Your Model Predicting the Past?Michael P. Kim, Moritz Hardt. [doi]
• FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning PipelinesMatthew Barker, Emma Kallina, Dhananjay Ashok, Katherine M. Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen, Umang Bhatt. [doi]
• Gender Biases in Tone Analysis: A Case Study of a Commercial WearableChristina Yeung, Umar Iqbal, Tadayoshi Kohno, Franziska Roesner. [doi]
• Taking Off with AI: Lessons from Aviation for HealthcareElizabeth Bondi-Kelly, Thomas Hartvigsen, Lindsay M. Sanneman, Swami Sankaranarayanan, Zach Harned, Grace Wickerson, Judy Wawira Gichoya, Lauren Oakden-Rayner, Leo Anthony Celi, Matthew P. Lungren, Julie A. Shah, Marzyeh Ghassemi. [doi]
• Common Voice and accent choice: data contributors self-describe their spoken accents in diverse waysKathy Reid, Elizabeth T. Williams. [doi]
• Challenge Accepted? A Critique of the 2021 National Institute of Justice Recidivism Forecasting ChallengeTobi Jegede, Marissa Kumar Gerchick, Amreeta S. Mathai, Aaron Horowitz. [doi]
• A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making SystemsNicolò Pagan, Joachim Baumann 0002, Ezzat Elokda, Giulia De Pasquale, Saverio Bolognani, Anikó Hannák. [doi]
• Should they? Mobile Biometrics and Technopolicy Meet Queer Community ConsiderationsAnaelia Ovalle, Davi Liang, Alicia Boyd. [doi]
• Media Coverage of Predictive Policing: Bias, Police Engagement, and the Future of TransparencyHarry Camilleri, Carolyn Ashurst, Nithya Jaisankar, Adrian Weller, Miri Zilka. [doi]
• Power and Public Participation in AIEric Corbett, Emily Denton, Sheena Erete. [doi]