Dylan K. Baker

According to our database, Dylan K. Baker authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation.

Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran

CoRR, 2024

Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates.

Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

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, Alberto Lusoli, Margaret Mitchell, Jessica Newman, Marie-Therese Png, Andrew Strait, Apostol Vassilev

CoRR, 2023

2022

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

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Cross-geographic Bias Detection in Toxicity Modeling.

Sayan Ghosh, Dylan K. Baker, David Jurgens, Vinodkumar Prabhakaran

CoRR, 2021

Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media.

Sayan Ghosh, Dylan K. Baker, David Jurgens, Vinodkumar Prabhakaran

Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

2020

Algorithmically encoded identities: reframing human classification.

Dylan K. Baker, Alex Hanna, Emily Denton

Proceedings of the FAT* '20: Conference on Fairness, 2020

Diversity and Inclusion Metrics in Subset Selection.

Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020