CMU at FAccT 2024

June 25, 2024

News

Researchers from the Human-Computer Interaction Institute (HCII) and several other Carnegie Mellon University schools and disciplines contributed to more than 10 papers accepted to the 2024 Association of Computing Machinery (ACM) Conference on Fairness, Accountability and Transparency (FAccT). FAccT 2024 was hosted June 3-6, 2024, in Rio de Janeiro, Brazil.

We celebrate the following research affiliated with CMU authors at FAccT 2024:

Best Paper Award - Learning about Responsible AI On-The-Job: Learning Pathways, Orientations, and Aspirations (pdf)
Michael Madaio, Google Research; Shivani Kapania, Carnegie Mellon University; Rida Qadri, Google Research; Ding Wang, Google Research; Andrew Zaldivar, Google Research; Remi Denton, Google Research; Lauren Wilcox, eBay

A Systematic Review of Biometric Monitoring in the Workplace: Analyzing Socio-Technical Harms in Development, Deployment, and Use (pdf)
Ezra Awumey, Carnegie Mellon University; Sauvik Das, Carnegie Mellon University; Jodi Forlizzi, Carnegie Mellon University

AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services (pdf)
Ningjing Tang, Carnegie Mellon University; Jiayin Zhi, Carnegie Mellon University; Tzu-Sheng Kuo, Carnegie Mellon University; Calla Kainaroi; Jeremy J. Northup, Point Park University; Kenneth Holstein, Carnegie Mellon University; Haiyi Zhu, Carnegie Mellon University; Hoda Heidari, Carnegie Mellon University; Hong Shen, Carnegie Mellon University

Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology (pdf)
Rishav Hada, Microsoft Research; Safiya Husain, Karya; Varun Gumma, Microsoft Research; Harshita Diddee, Carnegie Mellon University; Aditya Yadavalli, Karya; Agrima Seth, University of Michigan; Nidhi Kulkarni, Karya; Ujwal Gadiraju, Delft University of Technology; Aditya Vashistha, Cornell University; Vivek Seshadri, Microsoft Research; Kalika Bali, Microsoft Research

Building, Shifting, & Employing Power: A Taxonomy of Responses From Below to Algorithmic Harm (pdf)
Alicia DeVrio, Carnegie Mellon University; Motahhare Eslami, Carnegie Mellon University; Kenneth Holstein, Carnegie Mellon University

Power Hungry Processing: Watts Driving the Cost of AI Deployment? (pdf)
Sasha Luccioni, Hugging Face; Yacine Jernite, Hugging Face; Emma Strubell, Carnegie Mellon, Allen AI Institute

Regulating Explainability in Machine Learning Applications -- Observations from a Policy Design Experiment (pdf)
Nadia Nahar, Carnegie Mellon University; Jenny Rowlett, Oberlin College; Matthew Bray, Yale University; Zahra Abba Omar, Yale University; Xenophon Papademetris, Yale University; Alka Menon, Yale University; Christian Kästner, Carnegie Mellon University

The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment (pdf)
Nari Johnson, Carnegie Mellon University; Sanika Moharana, Carnegie Mellon University; Christina Harrington, Carnegie Mellon University; Nazanin Andalibi, University of Michigan; Hoda Heidari, Carnegie Mellon University; Motahhare Eslami, Carnegie Mellon University

The Impact of Differential Feature Under-reporting on Algorithmic Fairness (pdf)
Nil-Jana Akpinar, Carnegie Mellon University and Amazon Web Services; Zachary Lipton, Carnegie Mellon University; Alexandra Chouldechova, Carnegie Mellon University

Transparency in the Wild: Navigating Transparency in a Deployed AI System to Broaden Need-Finding Approaches (pdf)
Violet Turri, Carnegie Mellon University Software Engineering Institute; Katelyn Morrison, Carnegie Mellon University; Katherine-Marie Robinson, Carnegie Mellon University Software Engineering Institute; Collin Abidi, Carnegie Mellon University Software Engineering Institute; Adam Perer, Carnegie Mellon University; Jodi Forlizzi, Carnegie Mellon University; Rachel Dzombak, Carnegie Mellon University Software Engineering Institute

View the full FAccT 2024 Proceedings in the ACM Digital Library.

Research Areas
Fairness, Accountability, Transparency, and Ethics (FATE)