Going Gray, Failure to Hire, and the Ick Factor: Analyzing How Older Bloggers Talk about Ageism. - Amanda Lazar; Mark Diaz; Robin Brewer; Chelsea Kim; Anne Marie Piper (CSCW, 2017)

Inclusion of Underserved Residents in City Technology Planning. - Jessa Dickinson; Sheena Lewis Erete; Mark Diaz; Denise Linn Riedl (CHI Extended Abstracts, 2018)

Algorithmic Technologies and Underrepresented Populations. - Mark Diaz (CSCW Companion, 2019)

Addressing Age-Related Bias in Sentiment Analysis. - Mark Díaz; Isaac Johnson 001; Amanda Lazar; Anne Marie Piper; Darren Gergle (IJCAI, 2019)

Whose Walkability?: Challenges in Algorithmically Measuring Subjective Experience. - Mark Diaz; Nicholas Diakopoulos (Proc. ACM Hum. Comput. Interact., 2019)

"The cavalry ain't coming in to save us": Supporting Capacities and Relationships through Civic Tech. - Jessa Dickinson; Mark Díaz; Christopher A. Le Dantec; Sheena Lewis Erete (Proc. ACM Hum. Comput. Interact., 2019)

On Releasing Annotator-Level Labels and Information in Datasets. - Vinodkumar Prabhakaran; Aida Mostafazadeh Davani; Mark Díaz (CoRR, 2021)

Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation. - Emily Denton; Mark Díaz; Ian Kivlichan; Vinodkumar Prabhakaran; Rachel Rosen (CoRR, 2021)

Power to the People? Opportunities and Challenges for Participatory AI. - Abeba Birhane; William Isaac 001; Vinodkumar Prabhakaran; Mark Diaz; Madeleine Clare Elish; Iason Gabriel; Shakir Mohamed (EAAMO, 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 (FAccT, 2022)

Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat. - Samantha Robertson; Mark Díaz (FAccT, 2022)

LaMDA: Language Models for Dialog Applications. - Romal Thoppilan; Daniel De Freitas; Jamie Hall; Noam Shazeer; Apoorv Kulshreshtha; Heng-Tze Cheng; Alicia Jin; Taylor Bos; Leslie Baker; Yu Du; YaGuang Li; Hongrae Lee; et al. (CoRR, 2022)

Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations. - Aida Mostafazadeh Davani; Mark Díaz; Vinodkumar Prabhakaran (Trans. Assoc. Comput. Linguistics, 2022)

DICES Dataset: Diversity in Conversational AI Evaluation for Safety. - Lora Aroyo; Alex S. Taylor; Mark Díaz; Christopher Homan; Alicia Parrish; Gregory Serapio-García; Vinodkumar Prabhakaran; Ding Wang (NeurIPS, 2023)

The Reasonable Effectiveness of Diverse Evaluation Data. - Lora Aroyo; Mark Diaz; Christopher Homan; Vinodkumar Prabhakaran; Alex S. Taylor; Ding Wang (CoRR, 2023)

(Re)Defining Expertise in Machine Learning Development. - Mark Díaz; Angela D. R. Smith (CoRR, 2023)

PaLM 2 Technical Report. - 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; et al. (CoRR, 2023)

Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety. - Christopher M. Homan; Greg Serapio-García; Lora Aroyo; Mark Diaz; Alicia Parrish; Vinodkumar Prabhakaran; Alex S. Taylor; Ding Wang (CoRR, 2023)

A Framework to Assess (Dis)agreement Among Diverse Rater Groups. - Vinodkumar Prabhakaran; Christopher Homan; Lora Aroyo; Alicia Parrish; Alex S. Taylor; Mark Díaz; Ding Wang (CoRR, 2023)

PaLM: Scaling Language Modeling with Pathways. - Aakanksha Chowdhery; Sharan Narang; Jacob Devlin; Maarten Bosma; Gaurav Mishra; Adam Roberts; Paul Barham 001; Hyung Won Chung; Charles Sutton; Sebastian Gehrmann; Parker Schuh; Kensen Shi; et al. (J. Mach. Learn. Res., 2023)

SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata. - Mark Diaz; Sunipa Dev; Emily Reif; Emily Denton; Vinodkumar Prabhakaran (AIES (1), 2024)

What Makes An Expert? Reviewing How ML Researchers Define "Expert". - Mark Diaz; Angela D. R. Smith (AIES (1), 2024)

The Illusion of Artificial Inclusion. - William Agnew; A. Stevie Bergman; Jennifer Chien; Mark Díaz; Seliem El-Sayed; Jaylen Pittman; Shakir Mohamed; Kevin R. McKee (CHI, 2024)

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

STAR: SocioTechnical Approach to Red Teaming Language Models. - Laura Weidinger; John Mellor; Bernat Guillen Pegueroles; Nahema Marchal; Ravin Kumar; Kristian Lum; Canfer Akbulut; Mark Diaz; A. Stevie Bergman; Mikel Rodriguez; Verena Rieser; William Isaac 001 (EMNLP, 2024)

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

GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives. - Vinodkumar Prabhakaran; Christopher Homan; Lora Aroyo; Aida Mostafazadeh Davani; Alicia Parrish; Alex S. Taylor; Mark Diaz; Ding Wang; Gregory Serapio-García (NAACL-HLT, 2024)

Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation. - Andrew Smart; Ding Wang; Ellis Monk; Mark Díaz; Atoosa Kasirzadeh; Erin van Liemt; Sonja Schmer-Galunder (CoRR, 2024)

Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups. - Charvi Rastogi; Tian Huey Teh; Pushkar Mishra; Roma Patel; Zoe Ashwood; Aida Mostafazadeh Davani; Mark Diaz; Michela Paganini; Alicia Parrish; Ding Wang; Vinodkumar Prabhakaran; Lora Aroyo; et al. (CoRR, 2024)

Not Like Us, Hunty: Measuring Perceptions and Behavioral Effects of Minoritized Anthropomorphic Cues in LLMs. - Jeffrey Basoah; Daniel Chechelnitsky; Tao Long; Katharina Reinecke; Chrysoula Zerva; Kaitlyn Zhou; Mark Díaz; Maarten Sap (FAccT, 2025)

Nuanced Safety for Generative AI: How Demographics Shape Responsiveness to Severity. - Pushkar Mishra; Charvi Rastogi; Stephen R. Pfohl; Alicia Parrish; Roma Patel; Mark Diaz; Ding Wang; Michela Paganini; Vinodkumar Prabhakaran; Lora Aroyo; Verena Rieser (CoRR, 2025)

The Case for "Thick Evaluations" of Cultural Representation in AI. - Rida Qadri; Mark Diaz; Ding Wang; Michael Madaio (CoRR, 2025)

Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models. - 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; et al. (CoRR, 2025)

"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives. - 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; et al. (CoRR, 2025)