Publications

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

Organizers Of Queerinai, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx Mclean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y Bilenko, Andrew Mcnamara, Raphael Gontijo-Lopes, Alex Markham, Evyn Dong,, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark (2023). Queer In AI: A Case Study in Community-Led Participatory AI. ACM FAccT 2023.

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, Jess De Jesus De Pinho Pinhal (2023). Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. 2023 AAAI/ACM Conference on AI, Ethics, and Society (AIES).

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

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

Anaelia Ovalle, Evan Czyzycki, Cho-Jui Hsieh (2021). Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning. 2023 AAAI Student Abstract.

Anaelia Ovalle, Orpaz Goldstein, Mohammad Kachuee, Chenglin Hong, Elizabeth Wu, Ian Holloway, Majid Sarrafzadeh (2021). Leveraging Social Media Activity and Machine Learning for HIV and Substance Abuse Risk Assessment. JMIR.

Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff Philips, Kai-Wei Chang (2021). Harms of gender exclusivity and challenges in non-binary representation in language technologies. 2019 EMNLP Conference.

Anaelia Ovalle, Sunipa Dev, Jieyu Zhao, Majid Sarrafzadeh, Kai-Wei Chang (2021). Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN. AAAI Health Intelligence.