Xiang, A., Andrews, J.T.A., Bourke, R.L. et al. Fair human-centric image dataset for ethical AI benchmarking. Nature 648, 97–108 (2025). https://doi.org/10.1038/s41586-025-09716-2

Morgan Klaus Scheuerman, Allison Woodruff, and Jed R. Brubaker. 2025. How Data Workers Shape Datasets: The Role of Positionality in Data Collection and Annotation for Computer Vision. Proc. ACM Hum.-Comput. Interact. 9, 7, Article CSCW300 (November 2025), 42 pages. https://doi.org/10.1145/3757481

Morgan Scheuerman, Katy Weathington, Adrian Petterson, Dylan Thomas Doyle, Dipto Das, Michael Ann DeVito, and Jed R. Brubaker. 2025. Transphobia is in the Eye of the Prompter: Trans-Centered Perspectives on Large Language Models. ACM Trans. Comput.-Hum. Interact. Just Accepted (June 2025). https://doi.org/10.1145/3743676

Morgan Klaus Scheuerman, Katy Weathington, Tarun Mugunthan, Emily Denton, and Casey Fiesler. 2023. From Human to Data to Dataset: Mapping the Traceability of Human Subjects in Computer Vision Datasets. Proc. ACM Hum.-Comput. Interact. 7, CSCW1, Article 55 (April 2023), 33 pages. https://doi.org/10.1145/3579488

Jessica L. Feuston, Michael Ann DeVito, Morgan Klaus Scheuerman, Katy Weathington, Marianna Benitez, Bianca Z. Perez, Lucy Sondheim, and Jed R. Brubaker. 2022. “Do You Ladies Relate?“: Experiences of Gender Diverse People in Online Eating Disorder Communities. Proc. ACM Hum.-Comput. Interact. 6, CSCW2, Article 420 (November 2022), 32 pages. https://doi.org/10.1145/3555145

Morgan Klaus Scheuerman, Madeleine Pape, and Alex Hanna. 2021. Auto-essentialization: Gender in automated facial analysis as extended colonial project. Big Data & Society. https://journals.sagepub.com/doi/pdf/10.1177/20539517211053712

Morgan Klaus Scheuerman, Jialun Aaron Jiang, Casey Fiesler, and Jed R. Brubaker. 2021. A Framework of Severity for Harmful Content Online. Proc. ACM Hum.-Comput. Interact. 5, CSCW2: Article 368. https://doi.org/10.1145/3479512

Morgan Klaus Scheuerman, Emily Denton, and Alex Hanna. 2021. Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development. Proc. ACM Hum.-Comput. Interact. 5, CSCW2: Article 317. https://doi.org/10.1145/3476058

Jiang JA, Scheuerman MK, Fiesler C, Brubaker JR (2021) Understanding international perceptions of the severity of harmful content online. PLOS ONE 16(8): e0256762. https://doi.org/10.1371/journal.pone.0256762

Anthony T. Pinter, Morgan Klaus Scheuerman, and Jed R. Brubaker. 2020. Entering Doors, Evading Traps: Benefits and Risks of Visibility During Transgender Coming Outs. Proc. ACM Hum.-Comput. Interact. 4, CSCW3: Article 272. https://doi.org/10.1145/3434181

Morgan Klaus Scheuerman, Kandrea Wade, Caitlin Lustig, and Jed R. Brubaker. 2020. How We’ve Taught Algorithms to See Identity: Constructing Race and Gender in Image Databases for Facial Analysis. Proc. ACM Hum.-Comput. Interact. 4, CSCW1: Article 58. https://doi.org/10.1145/3392866

Morgan Klaus Scheuerman, Jacob M Paul, and Jed R. Brubaker. 2019. How Computers See Gender: An Evaluation of Gender Classification in Commercial Facial Analysis and Image Labeling Services. Proc. ACM Hum.-Comput. Interact. 3, CSCW: Article 144. https://doi.org/10.1145/3359246

Morgan Klaus Scheuerman, Stacy M. Branham, and Foad Hamidi. 2018. Safe Spaces and Safe Places: Unpacking Technology-Mediated Experiences of Safety and Harm with Transgender People. Proc. ACM Hum.-Comput. Interact. 2, CSCW: 155:1–155:27. https://doi.org/10.1145/3274424

Morgan Klaus Scheuerman, Wiebke Hutiri, Aida Rahmattalabi, Victoria Matthews, Alice Xiang, and Jerone T. A. Andrews. 2026. Treading the Transparency Tightrope: A Taxonomy of Risks and Benefits of Foundation Model Data Transparency for Transparency Advocates. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI ’26), April 13–17, 2026, Barcelona, Spain. ACM, New York, NY, USA, 43 pages. https://doi.org/10.1145/3772318.3790364

Shivani Kapania, Tianling Yang, Nuredin Ali Abdelkadir, Morgan Klaus Scheuerman, Milagros Miceli, Alex Taylor, and Sarah Fox. 2026. ‘The plan is just survival’: Data Work in Kenya and the Regime of Entrapment. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI ’26), April 13–17, 2026, Barcelona, Spain. ACM, New York, NY, USA, 17 pages. https://doi.org/10.1145/3772318.3790364

Morgan Klaus Scheuerman. 2024. In the Walled Garden: Challenges and Opportunities for Research on the Practices of the AI Tech Industry In The 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT’24), June 03–06, 2024, Rio de Janeiro, Brazil. ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/3630106.3658918

Morgan Klaus Scheuerman and Jed R. Brubaker. 2024. Products of Positionality: How Tech Workers Shape Identity Concepts in Computer Vision. Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24)May 11–16, 2024, Honolulu, HI, USA. ACM, New York, NY, USA, 18 pages. https://doi.org/10.1145/3613904.3641890

Jared Katzman, Angelina Wang, Morgan Klaus Scheuerman, Su Lin Blodgett, Kristen Laird, Hanna Wallach, Solon Barocas. 2023. Taxonomizing and Measuring Representational Harms: A Look at Image Tagging Proceedings of the AAAI Conference on Artificial Intelligence, 37(12), 14277-14285. https://doi.org/10.1609/aaai.v37i12.26670

Morgan Klaus Scheuerman, Jialun Aaron Jiang, Katta Spiel, Jed R. Brubaker. 2021. Revisiting Gendered Web Forms: An Evaluation of Gender Inputs with (Non-)Binary People In CHI Conference on Human Factors in Computing Systems (CHI ’21), https://doi.org/10.1145/3411764.3445742

Cynthia L. Bennett, Cole Gleason, Morgan Klaus Scheuerman, Jeffrey P. Bigham, Anhong Guo, Alexandra To. 2021. "It’s Complicated": Negotiating Accessibility and (Mis)Representation in Image Descriptions of Race, Gender, and Disability. In CHI Conference on Human Factors in Computing Systems (CHI ’21), https://doi.org/10.1145/3411764.3445742

Inioluwa Deborah Raji, Morgan Klaus Scheuerman, Razvan Amironesei. 2021. "You Can’t Sit With Us": Exclusionary Pedagogy in AI Ethics Education. In ACM Conference on Fairness, Accountability, and Transparency (FAccT’21) https://doi.org/10.1145/3442188.3445914

Foad Hamidi, Morgan Klaus Scheuerman, and Stacy M. Branham. 2018. Gender Recognition or Gender Reductionism?: The Social Implications of Embedded Gender Recognition Systems. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ’18), 8:1–8:13. https://doi.org/10.1145/3173574.3173582

Stacy M. Branham, Ali Abdolrahmani, William Easley, Morgan Scheuerman, Erick Ronquillo, and Amy Hurst. 2017. "Is Someone There? Do They Have a Gun": How Visual Information About Others Can Improve Personal Safety Management for Blind Individuals. In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS ’17), 260–269. https://doi.org/10.1145/3132525.3132534

Jiarun Dai, Sehba Wani, Zauryn Robinson, Naila Hajiyeva, and Morgan Klaus Scheuerman. (2024). Digitally Dysfunctional: How HCI Researchers Examine BIPOC Interactions with Recommendation Algorithms. iConference 2024.

Morgan Klaus Scheuerman, William Easley, Ali Abdolrahmani, Amy Hurst, and Stacy Branham. 2017. Learning the Language: The Importance of Studying Written Directions in Designing Navigational Technologies for the Blind. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA ’17). Association for Computing Machinery, New York, NY, USA, 2922–2928. DOI:https://doi.org/10.1145/3027063.3053260

Scheuerman, M. K. (2024) Contesting efficacy: tensions between risk and inclusion inc omputer vision technology. Future Humanities, e12. https://doi.org/10.1002/fhu2.12

Morgan Klaus Scheuerman and Jed R. Brubaker. 2021. Gender Recognition Technology. In A. Goldberg, & G. Beemyn (Eds.), The SAGE Encyclopedia of Trans Studies, (Vol. 1, pp. 329-329). SAGE Publications, Inc., https://www.doi.org/10.4135/9781544393858.n114

Morgan Klaus Scheuerman, Dora Zhao, Jerone T. A. Andrews, Abeba Birhane, Q. Vera Liao, Georgia Panagiotidou, Pooja Chitre, Kathleen Pine, Shawn Walker, Jieyu Zhao, and Alice Xiang. 2025. Responsibly Training Foundation Models: Actualizing Ethical Principles for Curating Large-Scale Training Datasets in the Era of Massive AI Models. In Companion Publication of the 2025 Conference on Computer-Supported Cooperative Work and Social Computing (CSCW Companion '25). Association for Computing Machinery, New York, NY, USA, 99–105. https://doi.org/10.1145/3715070.3748285

Jessica McClearn, Lucy Qin, Emily Tseng, Miranda Wei, Rikke Bjerg Jensen, Nora McDonald, Elissa M. Redmiles, Morgan Klaus Scheuerman, and Reem Talhouk. 2025. Reflexivity & Reflection (R&R) for Sociotechnical Safety: Creating a Space for Collective Learning. In Companion Publication of the 2025 Conference on Computer-Supported Cooperative Work and Social Computing (CSCW Companion '25). Association for Computing Machinery, New York, NY, USA, 138–143. https://doi.org/10.1145/3715070.3748292

Su Lin Blodgett, Q. Vera Liao, Alexandra Olteanu, Rada Mihalcea, Michael Muller, Morgan Klaus Scheuerman, Chenhao Tan, and Qian Yang. 2022. Responsible Language Technologies: Foreseeing and Mitigating Harms. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (CHI EA '22). Association for Computing Machinery, New York, NY, USA, Article 152, 1–3. https://doi.org/10.1145/3491101.3516502

Michael Ann DeVito, Caitlin Lustig, Ellen Simpson, Kimberley Allison, Tee Chuanromanee, Katta Spiel, Amy Ko, Jennifer Rode, Brianna Dym, Michael Muller, Morgan Klaus Scheuerman, Ashley Marie Walker, Jed Brubaker, and Alex Ahmed. 2021. Queer in HCI: Strengthening the Community of LGBTQIA+ Researchers and Research. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (CHI EA '21). Association for Computing Machinery, New York, NY, USA, Article 159, 1–3. https://doi.org/10.1145/3411763.3450403

Michael Ann DeVito, Ashley Marie Walker, Caitlin Lustig, Amy J. Ko, Katta Spiel, Alex A. Ahmed, Kimberley Allison, Morgan Scheuerman, Briana Dym, Jed R. Brubaker, Ellen Simpson, Naveen Bagalkot, Noopur Raval, Michael Muller, Jennifer Rode, and Mary L. Gray. 2020. Queer in HCI: Supporting LGBTQIA+ Researchers and Research Across Domains. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20). Association for Computing Machinery, New York, NY, USA, 1–4. https://doi.org/10.1145/3334480.3381058

@inproceedings{10.1145/3334480.3381058,
author = {DeVito, Michael Ann and Walker, Ashley Marie and Lustig, Caitlin and Ko, Amy J. and Spiel, Katta and Ahmed, Alex A. and Allison, Kimberley and Scheuerman, Morgan and Dym, Briana and Brubaker, Jed R. and Simpson, Ellen and Bagalkot, Naveen and Raval, Noopur and Muller, Michael and Rode, Jennifer and Gray, Mary L.},
title = {Queer in HCI: Supporting LGBTQIA+ Researchers and Research Across Domains},
year = {2020},
isbn = {9781450368193},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3334480.3381058},
doi = {10.1145/3334480.3381058},
abstract = {As Queer Human-Computer Interaction (HCI) becomes an established part of the larger field, both in terms of research on and with queer populations and in terms of employing queering theories and methods, the role of queer researchers has become a timely topic of discussion. However, these discussions have largely centered around member-researcher status and positionality when working with queer populations. Based on insights gathered at multiple ACM events over the past year, we identified two pressing issues: (1) we need to better support queer people doing HCI research not specific to queer populations, and (2) we need to identify how to best support member-researchers in leading Queer HCI while including collaborators beyond the queer community. This Special Interest Group (SIG) aims to directly address these challenges by convening a broad community of queer researchers and allies, working not only on explicitly-queer topics but across a broad range of HCI topics.},
booktitle = {Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems},
pages = {1–4},
numpages = {4},
keywords = {queer hci, sexual and gender minorities},
location = {Honolulu, HI, USA},
series = {CHI EA '20}
}

Morgan Klaus Scheuerman. 2026. Our Tidal Selves: Embracing Shifting Identities in Computational Artifacts. In Between and Beyond: Designing for Identity Complexity in HCI at CHI 2026.

@article{scheuerman2026-tidal,
title={Our Tidal Selves: Embracing Shifting Identities in Computational Artifacts},
author={Morgan Klaus Scheuerman},
year={2026},
booktitle = {In Between and Beyond: Designing for Identity Complexity in HCI at CHI 2026},
}

Katy Weathington and Morgan Klaus Scheuerman. 2020. Harm and Data Science: Framing Negative Human Outcomes as a Data Science Problem. In Interrogating Data Science at CSCW 2020.

Malinda Dietrich, Katy Weathington, and Morgan Klaus Scheuerman. 2020. Defining Data: Questions of “Numerical Facts.” In Interrogating Data Science at CSCW 2020.

Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole, Morgan Klaus Scheuerman. 2020. Bringing the People Back In: Contesting Benchmark Machine Learning Datasets. In Participatory Approaches to Machine Learning at ICML 2020.

Morgan Klaus Scheuerman. 2019. Contesting Efficacy: Tensions Between Risk and System Efficacy in Facial Analysis Software. In Contestability In Algorithmic Decision Making at CSCW 2019.

Anthony T. Pinter, Morgan Klaus Scheuerman, and Jed R. Brubaker. 2019. Designing and Carrying Out Conscientious Research With Marginalized Groups. In Social Technologies for Digital Wellbeing Among Marginalized Communities at CSCW 2019.

Morgan Klaus Scheuerman and Jed R. Brubaker. 2018. Gender is not a Boolean: Towards Designing Algorithms to Understand Complex Human Identities. In Participation+Algorithms Workshop at CSCW 2018.

Morgan Klaus Scheuerman, Foad Hamidi, and Stacy M Branham. 2018. (Ab)user-Centered Design? Considering the Involvement of Abusers in the Design Process. In Understanding "Bad Actors" Online at CHI 2018.