Medhere: A Smartwatch-based Medication Adherence Monitoring System using Machine Learning and Distributed Computing. - Jinxin Ma; Anaelia Ovalle; Diane Myung-kyung Woodbridge (EMBC, 2018)

Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. - Sunipa Dev; Masoud Monajatipoor; Anaelia Ovalle; Arjun Subramonian; Jeff M. Phillips; Kai-Wei Chang (EMNLP (1), 2021)

COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal Understanding of the Pandemic with Social Media Conversations. - Shayan Fazeli; Davina Zamanzadeh; Anaelia Ovalle; Thu Nguyen; Gilbert Gee; Majid Sarrafzadeh (CoRR, 2021)

Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning. - Anaelia Ovalle; Evan Czyzycki; Cho-Jui Hsieh (CoRR, 2022)

Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN. - Anaelia Ovalle; Sunipa Dev; Jieyu Zhao 001; Majid Sarrafzadeh; Kai-Wei Chang (CoRR, 2022)

Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning (Student Abstract). - Anaelia Ovalle; Evan Czyzycki; Cho-Jui Hsieh (AAAI, 2023)

Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. - Nathan Dennler; Anaelia Ovalle; Ashwin Singh; Luca Soldaini; Arjun Subramonian; Huy Tu; William Agnew; Avijit Ghosh; Kyra Yee; Irene Font Peradejordi; Zeerak Talat; Mayra Russo; et al. (AIES, 2023)

Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness. - Anaelia Ovalle; Arjun Subramonian; Vagrant Gautam; Gilbert Gee; Kai-Wei Chang (AIES, 2023)

Should they? Mobile Biometrics and Technopolicy Meet Queer Community Considerations. - Anaelia Ovalle; Davi Liang; Alicia Boyd (EAAMO, 2023)

"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. - Anaelia Ovalle; Palash Goyal; Jwala Dhamala; Zachary Jaggers; Kai-Wei Chang; Aram Galstyan; Richard S. Zemel; Rahul Gupta 001 (FAccT, 2023)

Queer In AI: A Case Study in Community-Led Participatory AI. - Organizers Of QueerInAI; Anaelia Ovalle; Arjun Subramonian; Ashwin Singh; Claas Voelcker; Danica J. Sutherland; Davide Locatelli; Eva Breznik; Filip Klubicka; Hang Yuan; Hetvi Jethwani; Huan Zhang 009; et al. (FAccT, 2023)

Queer In AI: A Case Study in Community-Led Participatory AI. - Anaelia Ovalle; Arjun Subramonian; Ashwin Singh; Claas Voelcker; Danica J. Sutherland; Davide Locatelli; Eva Breznik; Filip Klubicka; Hang Yuan; Hetvi Jethwani; Huan Zhang 009; Jaidev Shriram; et al. (CoRR, 2023)

ChatGPT for Us: Preserving Data Privacy in ChatGPT via Dialogue Text Ambiguation to Expand Mental Health Care Delivery. - Anaelia Ovalle; Mehrab Beikzadeh; Parshan Teimouri; Kai-Wei Chang; Majid Sarrafzadeh (CoRR, 2023)

Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. - Organizers Of QueerInAI; Nathaniel Dennler; Anaelia Ovalle; Ashwin Singh; Luca Soldaini; Arjun Subramonian; Huy Tu; William Agnew; Avijit Ghosh; Kyra Yee; Irene Font Peradejordi; Zeerak Talat; et al. (CoRR, 2023)

Decoding The Digital Fuku: Deciphering Colonial Legacies to Critically Assess ChatGPT in Dominican Education. - Anaelia Ovalle (CoRR, 2023)

Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity. - Anaelia Ovalle; Ninareh Mehrabi; Palash Goyal; Jwala Dhamala; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Rahul Gupta 001 (CoRR, 2023)

Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. - Anaelia Ovalle; Ninareh Mehrabi; Palash Goyal; Jwala Dhamala; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Yuval Pinter; Rahul Gupta 001 (NAACL-HLT (Findings), 2024)

Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation. - Yixin Wan; Arjun Subramonian; Anaelia Ovalle; Zongyu Lin; Ashima Suvarna; Christina Chance; Hritik Bansal; Rebecca Pattichis; Kai-Wei Chang (CoRR, 2024)

The Root Shapes the Fruit: On the Persistence of Gender-Exclusive Harms in Aligned Language Models. - Anaelia Ovalle; Krunoslav Lehman Pavasovic; Louis Martin; Luke Zettlemoyer; Eric Michael Smith; Adina Williams; Levent Sagun (CoRR, 2024)

The Root Shapes the Fruit: On the Persistence of Gender-Exclusive Harms in Aligned Language Models. - Anaelia Ovalle; Krunoslav Lehman Pavasovic; Louis Martin; Luke Zettlemoyer; Eric Michael Smith; Kai-Wei Chang; Adina Williams; Levent Sagun (FAccT, 2025)

SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models. - Margaret Mitchell; Giuseppe Attanasio; Ioana Baldini; Miruna Clinciu; Jordan Clive; Pieter Delobelle; Manan Dey; Sil Hamilton; Timm Dill; Jad Doughman; Ritam Dutt; Avijit Ghosh; et al. (NAACL (Long Papers), 2025)

The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation. - Martin Mundt; Anaelia Ovalle; Felix Friedrich; Pranav Agrawal 003; Subarnaduti Paul; Manuel Brack; Kristian Kersting; William Agnew (CoRR, 2025)