Diversity and Inclusion Metrics in Subset Selection. - Margaret Mitchell; Dylan K. Baker; Nyalleng Moorosi; Emily Denton; Ben Hutchinson; Alex Hanna; Timnit Gebru; Jamie Morgenstern (AIES, 2020)

Algorithmically encoded identities: reframing human classification. - Dylan K. Baker; Alex Hanna; Emily Denton (FAT*, 2020)

Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media. - Sayan Ghosh 004; Dylan K. Baker; David Jurgens; Vinodkumar Prabhakaran (W-NUT, 2021)

Cross-geographic Bias Detection in Toxicity Modeling. - Sayan Ghosh 004; Dylan K. Baker; David Jurgens; Vinodkumar Prabhakaran (CoRR, 2021)

CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation. - Mark Díaz; Ian D. Kivlichan; Rachel Rosen; Dylan K. Baker; Razvan Amironesei; Vinodkumar Prabhakaran; Emily Denton (FAccT, 2022)

Evaluating the Social Impact of Generative AI Systems in Systems and Society. - Irene Solaiman; Zeerak Talat; William Agnew; Lama Ahmad; Dylan K. Baker; Su Lin Blodgett; Hal Daumé III; Jesse Dodge; Ellie Evans; Sara Hooker; Yacine Jernite; Alexandra Sasha Luccioni; et al. (CoRR, 2023)

D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation. - Aida Mostafazadeh Davani; Mark Diaz; Dylan K. Baker; Vinodkumar Prabhakaran (EMNLP, 2024)

Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates. - Aida Mostafazadeh Davani; Mark Díaz; Dylan K. Baker; Vinodkumar Prabhakaran (FAccT, 2024)

The Role of Expertise in Effectively Moderating Harmful Social Media Content. - Nuredin Ali Abdelkadir; Tianling Yang; Shivani Kapania; Meron Estefanos; Fasica Berhane Gebrekidan; Zecharias Zelalem; Messai Ali; Rishan Berhe; Dylan K. Baker; Zeerak Talat; Milagros Miceli; Alex Hanna; et al. (CHI, 2025)