Mark Díaz

27 papers A* 3Journal 20Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives.
CoRR
Ding Wang, Mark Díaz, Charvi Rastogi, Aida Mostafazadeh Davani, Vinodkumar Prabhakaran, Pushkar Mishra, Roma Patel, Alicia Parrish, Zoe Ashwood, Michela Paganini, Tian Huey Teh, Verena Rieser, Lora Aroyo
2025 J jnl
How Tech Workers Contend with Hazards of Humanlikeness in Generative AI.
CoRR
Mark Díaz, Renee Shelby, Eric Corbett, Andrew Smart
2025 J jnl
Humanlike AI Design Increases Anthropomorphism but Yields Divergent Outcomes on Engagement and Trust Globally.
CoRR
Robin Schimmelpfennig, Mark Díaz, Vinodkumar Prabhakaran, Aida Mostafazadeh Davani
2025 — conf
Not Like Us, Hunty: Measuring Perceptions and Behavioral Effects of Minoritized Anthropomorphic Cues in LLMs.
FAccT
Jeffrey Basoah, Daniel Chechelnitsky, Tao Long, Katharina Reinecke, Chrysoula Zerva, Kaitlyn Zhou, Mark Díaz, Maarten Sap
2025 J jnl
Not Like Us, Hunty: Measuring Perceptions and Behavioral Effects of Minoritized Anthropomorphic Cues in LLMs.
CoRR
Jeffrey Basoah, Daniel Chechelnitsky, Tao Long, Katharina Reinecke, Chrysoula Zerva, Kaitlyn Zhou, Mark Díaz, Maarten Sap
2025 J jnl
Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models.
CoRR
Charvi Rastogi, Tian Huey Teh, Pushkar Mishra, Roma Patel, Ding Wang, Mark Díaz, Alicia Parrish, Aida Mostafazadeh Davani, Zoe Ashwood, Michela Paganini, Vinodkumar Prabhakaran, Verena Rieser, Lora Aroyo
2024 J jnl
D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation.
CoRR
Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran
2024 J jnl
Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation.
CoRR
Andrew Smart, Ding Wang, Ellis Monk, Mark Díaz, Atoosa Kasirzadeh, Erin van Liemt, Sonja Schmer-Galunder
2024 — conf
Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates.
FAccT
Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran
2024 A* conf
The Illusion of Artificial Inclusion.
CHI
William Agnew, A. Stevie Bergman, Jennifer Chien, Mark Díaz, Seliem El-Sayed, Jaylen Pittman, Shakir Mohamed, Kevin R. McKee
2024 J jnl
The illusion of artificial inclusion.
CoRR
William Agnew, A. Stevie Bergman, Jennifer Chien, Mark Díaz, Seliem El-Sayed, Jaylen Pittman, Shakir Mohamed, Kevin R. McKee
2024 J jnl
What Makes An Expert? Reviewing How ML Researchers Define "Expert".
CoRR
Mark Díaz, Angela D. R. Smith
2023 J jnl
(Re)Defining Expertise in Machine Learning Development.
CoRR
Mark Díaz, Angela D. R. Smith
2023 J jnl
A Framework to Assess (Dis)agreement Among Diverse Rater Groups.
CoRR
Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Alicia Parrish, Alex S. Taylor, Mark Díaz, Ding Wang
2023 A* conf
DICES Dataset: Diversity in Conversational AI Evaluation for Safety.
NeurIPS
Lora Aroyo, Alex S. Taylor, Mark Díaz, Christopher Homan, Alicia Parrish, Gregory Serapio-García, Vinodkumar Prabhakaran, Ding Wang
2023 J jnl
Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates.
CoRR
Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran
2023 J jnl
PaLM 2 Technical Report.
CoRR
Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.
2023 J jnl
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata.
CoRR
Mark Díaz, Sunipa Dev, Emily Reif, Remi Denton, Vinodkumar Prabhakaran
2022 — conf
CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation.
FAccT
Mark Díaz, Ian D. Kivlichan, Rachel Rosen, Dylan K. Baker, Razvan Amironesei, Vinodkumar Prabhakaran, Emily Denton
2022 J jnl
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations.
Trans. Assoc. Comput. Linguistics
Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran
2022 J jnl
Power to the People? Opportunities and Challenges for Participatory AI.
CoRR
Abeba Birhane, William Isaac, Vinodkumar Prabhakaran, Mark Díaz, Madeleine Clare Elish, Iason Gabriel, Shakir Mohamed
2022 — conf
Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat.
FAccT
Samantha Robertson, Mark Díaz
2021 J jnl
Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations.
CoRR
Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran
2021 J jnl
On Releasing Annotator-Level Labels and Information in Datasets.
CoRR
Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Mark Díaz
2021 J jnl
Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation.
CoRR
Emily Denton, Mark Díaz, Ian Kivlichan, Vinodkumar Prabhakaran, Rachel Rosen
2019 J jnl
"The cavalry ain't coming in to save us": Supporting Capacities and Relationships through Civic Tech.
Proc. ACM Hum. Comput. Interact.
Jessa Dickinson, Mark Díaz, Christopher A. Le Dantec, Sheena Lewis Erete
2019 A* conf
Addressing Age-Related Bias in Sentiment Analysis.
IJCAI
Mark Díaz, Isaac Johnson, Amanda Lazar, Anne Marie Piper, Darren Gergle