Mechanisms in psychology: ripping nature at its seams. - Catherine Stinson (Synth., 2016)

The absent body in psychiatric diagnosis, treatment, and research. - Catherine Stinson (Synth., 2019)

Algorithms are not neutral: Bias in collaborative filtering. - Catherine Stinson (CoRR, 2021)

A Bio-Inspired Framework for Machine Bias Interpretation. - Jake Robertson; Catherine Stinson; Ting Hu 001 (AIES, 2022)

Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness. - Nicola Neophytou; Bhaskar Mitra 001; Catherine Stinson (ECIR (1), 2022)

Algorithms are not neutral. - Catherine Stinson (AI Ethics, 2022)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Collaboration or Corporate Capture? Quantifying NLP's Reliance on Industry Artifacts and Contributions. - Will Aitken; Mohamed Abdalla 001; Karen Rudie; Catherine Stinson (ACL (1), 2024)

A feeling for the algorithm: Diversity, expertise, and artificial intelligence. - Catherine Stinson; Sofie Vlaad (Big Data Soc., 2024)

The State of Documentation Practices of Third-Party Machine Learning Models and Datasets. - Ernesto Lang Oreamuno; Rohan Faiyaz Khan; Abdul Ali Bangash; Catherine Stinson; Bram Adams (IEEE Softw., 2024)

Fuck the Algorithm: Conceptual Issues in Algorithmic Bias. - Catherine Stinson (CoRR, 2025)

Auditing Facial Emotion Recognition Datasets for Posed Expressions and Racial Bias. - Rina Khan; Catherine Stinson (CoRR, 2025)