EAAMO

Publications

2023

Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools. EAAMO (2023)
Kiarash Mohammadi, Aishwarya Sivaraman, Golnoosh Farnadi
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks. EAAMO (2023)
Elizabeth 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
Taking Off with AI: Lessons from Aviation for Healthcare. EAAMO (2023)
Anaelia Ovalle, Davi Liang, Alicia Boyd
Should they? Mobile Biometrics and Technopolicy Meet Queer Community Considerations. EAAMO (2023)
Christina Yeung, Umar Iqbal, Tadayoshi Kohno, Franziska Roesner
Gender Biases in Tone Analysis: A Case Study of a Commercial Wearable. EAAMO (2023)
Yanchen Wang, Lisa Singh
Mitigating demographic bias of machine learning models on social media. EAAMO (2023)
José Manuel Álvarez Colmenares, Salvatore Ruggieri
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference. EAAMO (2023)
Micah Carroll, Alan Chan, Henry Ashton, David Krueger
Characterizing Manipulation from AI Systems. EAAMO (2023)
João Fonseca, Andrew Bell, Carlo Abrate, Francesco Bonchi, Julia Stoyanovich
Setting the Right Expectations: Algorithmic Recourse Over Time. EAAMO (2023)
Isa Inuwa-Dutse
FATE in AI: Towards Algorithmic Inclusivity and Accessibility. EAAMO (2023)
Caroline M. Johnston, Patrick Vossler, Simon Blessenohl, Phebe Vayanos
Deploying a Robust Active Preference Elicitation Algorithm on MTurk: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization. EAAMO (2023)
Nabit Bajwa, Sanmay Das
Test Scores, Classroom Performance, and Capacity in Academically Selective School Program Admissions. EAAMO (2023)
Michael Feffer, Nikolas Martelaro, Hoda Heidari
The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements. EAAMO (2023)
Fatemeh Farajzadeh, Ryan Baylor Killea, Alexander Teytelboym, Andrew Christopher Trapp
Optimizing Sponsored Humanitarian Parole. EAAMO (2023)
Benjamin Laufer, Jon M. Kleinberg, Karen Levy, Helen Nissenbaum
Strategic Evaluation. EAAMO (2023)
Mennatullah Siam
Towards a Better Understanding of the Computer Vision Research Community in Africa. EAAMO (2023)
Maryam Molamohammadi, Afaf Taïk, Nicolas Le Roux, Golnoosh Farnadi
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements. EAAMO (2023)
Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning. EAAMO (2023)
Meirav Segal, Anne-Marie George, Christos Dimitrakakis
Policy Fairness and Unknown Bias Dynamics in Sequential Allocations. EAAMO (2023)
Vijay Keswani, L. Elisa Celis
Addressing Strategic Manipulation Disparities in Fair Classification. EAAMO (2023)
Miri Zilka, Carolyn Ashurst, Luke Chambers, Ellen P. Goodmann, Pamela Ugwudike, Marion Oswald
Exploring Police Perspectives on Algorithmic Transparency: A Qualitative Analysis of Police Interviews in the UK. EAAMO (2023)
Jennifer Chien, Margaret E. Roberts, Berk Ustun
Algorithmic Censoring in Dynamic Learning Systems. EAAMO (2023)
Carolyn Ashurst, Adrian Weller
Fairness Without Demographic Data: A Survey of Approaches. EAAMO (2023)
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, EAAMO 2023, Boston, MA, USA, 30 October 2023 - 1 November 2023 EAAMO (2023)
Fernando Delgado, Stephen Yang, Michael Madaio, Qian Yang
The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice. EAAMO (2023)
Abel Salinas, Parth Vipul Shah, Yuzhong Huang, Robert McCormack, Fred Morstatter
The Unequal Opportunities of Large Language Models: Examining Demographic Biases in Job Recommendations by ChatGPT and LLaMA. EAAMO (2023)
Nicolò Pagan, Joachim Baumann, Ezzat Elokda, Giulia De Pasquale, Saverio Bolognani, Anikó Hannák
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems. EAAMO (2023)
Kathy Reid, Elizabeth T. Williams
Common Voice and accent choice: data contributors self-describe their spoken accents in diverse ways. EAAMO (2023)
Qishen Han, Biaoshuai Tao, Lirong Xia
Average Envy-freeness for Indivisible Items. EAAMO (2023)
Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy
Informational Diversity and Affinity Bias in Team Growth Dynamics. EAAMO (2023)
Claudia Flores-Saviaga, Christopher Curtis, Saiph Savage
Inclusive Portraits: Race-Aware Human-in-the-Loop Technology. EAAMO (2023)
Harry Camilleri, Carolyn Ashurst, Nithya Jaisankar, Adrian Weller, Miri Zilka
Media Coverage of Predictive Policing: Bias, Police Engagement, and the Future of Transparency. EAAMO (2023)
Michael P. Kim, Moritz Hardt
Is Your Model Predicting the Past? EAAMO (2023)
Matthew Barker, Emma Kallina, Dhananjay Ashok, Katherine M. Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen, Umang Bhatt
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines. EAAMO (2023)
Weixiao Huang, Elise Jade Deshusses, Jennifer Ann Pazour, Yunus Dogan Telliel, Sarah Eliza Stanlick, Andrew Christopher Trapp
Empowering Collective Impact: Introducing SWAP for Resource Sharing. EAAMO (2023)
Eric Corbett, Emily Denton, Sheena Erete
Power and Public Participation in AI. EAAMO (2023)
Sebastian Benthall, David Shekman
Designing Fiduciary Artificial Intelligence. EAAMO (2023)
Elizabeth Edenberg, Alexandra Wood
An Epistemic Lens on Algorithmic Fairness. EAAMO (2023)
Tobi Jegede, Marissa Kumar Gerchick, Amreeta S. Mathai, Aaron Horowitz
Challenge Accepted? A Critique of the 2021 National Institute of Justice Recidivism Forecasting Challenge. EAAMO (2023)

2022