PeopleofSuperintelligence

Researcher

Morgan Klaus Scheuerman

Morgan Klaus Scheuerman is a human-computer interaction researcher who studies how gender and race are built into facial analysis systems and image databases. A 2019 CSCW paper that found facial analysis services markedly worse at determining gender for trans people won a Best Paper award, as did a 2020 paper on race and gender in image databases. A 2021 Microsoft Research PhD Fellowship supported their Information Science PhD at the University of Colorado Boulder, which they completed in 2023 before a postdoctoral position there. In 2024, a CHI paper on how tech workers shape identity concepts in computer vision won another Best Paper award, and in 2025 they were among the Sony AI authors of the Nature paper that introduced the FHIBE fairness benchmark. They are a research scientist on the AI Ethics team at Sony AI in Barcelona and a visiting scholar at the University of Colorado Boulder.

Works
54
Citations
2,128
h-index
20
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2016

    Degrees from Goucher and UMBC

    In 2016, they graduate from Goucher College with a Bachelor of Arts in Media Studies, and they go on to earn a Master of Science in Human-Centered Computing at the University of Maryland, Baltimore County.

  2. 2019

    How Computers See Gender

    In April 2019, they are one of 26 signatories of an open letter that calls on Amazon to stop selling its facial recognition technology to law enforcement. Their paper How Computers See Gender, written with Jacob M. Paul and Jed R. Brubaker, runs 2,450 Instagram photos labeled with gender hashtags through services from Microsoft, Amazon, IBM and Clarifai, and finds the systems markedly worse at determining gender for trans people. The paper wins a Best Paper award at CSCW in 2019.

  3. 2020

    Race and gender in image databases

    In 2020, How We've Taught Algorithms to See Identity, written with Kandrea Wade, Caitlin Lustig and Jed R. Brubaker, wins a CSCW Best Paper award and a recognition for contributions to diversity and inclusion. The paper looks at how race and gender are constructed in the image databases behind facial analysis.

  4. 2021

    Microsoft Research PhD Fellowship

    In 2021, they receive a Microsoft Research PhD Fellowship, which funds two paid years to finish a PhD in Information Science at CU Boulder and includes a chance to collaborate with Microsoft researchers. Jed Brubaker, who recruited them to the Identity Lab, advises them there.

  5. May 2023

    PhD defense and a CU postdoc

    They defend their dissertation and graduate with a PhD in Information Science from CU Boulder in May 2023. A postdoctoral position in Information Science at CU Boulder follows, researching identity representations in technical infrastructures.

  6. 2024

    A CHI 2024 Best Paper

    In 2024, Products of Positionality: How Tech Workers Shape Identity Concepts in Computer Vision, written with Jed R. Brubaker for the CHI Conference on Human Factors in Computing Systems, wins a Best Paper award. The paper began as a chapter of their dissertation research.

  7. 2025

    The FHIBE benchmark in Nature

    In 2025, they are among the authors of the Nature paper Fair human-centric image dataset for ethical AI benchmarking. The paper introduces the Fair Human-Centric Image Benchmark (FHIBE), which Sony AI built around consent, compensation, diversity and transparency. In December 2025, the work of Sony AI's AI Ethics team gets both the December cover and an editorial feature in Nature magazine.

  8. As of October 2026

    AI Ethics research at Sony AI

    They are a research scientist on the AI Ethics team at Sony AI, based in Barcelona, Spain, and a visiting scholar at the University of Colorado Boulder. Their work centers on the intersection between human-computer interaction and responsible and ethical AI.

Career

  1. Since 2025SonyResearch scientist on the AI Ethics team
  2. Since 2018University of Colorado BoulderPostdoctoral researcher in Information Science, Visiting scholar

Education

  1. 2016Goucher CollegeBachelor of Arts in Media Studies
  2. University of Maryland, Baltimore CountyMaster of Science in Human-Centered Computing
  3. University of Colorado BoulderPhD in Information Science

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. How Computers See Gender2019 · Proceedings of the ACM on Human-Computer Interaction · 250 citations
  2. Safe Spaces and Safe Places2018 · Proceedings of the ACM on Human-Computer Interaction · 236 citations
  3. Gender Recognition or Gender Reductionism?2018 · CHI Conference on Human Factors in Computing Systems · 222 citations
  4. Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development2021 · Proceedings of the ACM on Human-Computer Interaction · 215 citations
  5. How We've Taught Algorithms to See Identity: Constructing Race and Gender in Image Databases for Facial Analysis2020 · Proceedings of the ACM on Human-Computer Interaction · 193 citations

From OpenAlex, as of 21 October 2026.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Morgan Klaus Scheuerman. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of Colorado. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  3. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes University of Colorado. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  4. Google has the highest combined h-index among AI organizationsIncludes University of Colorado. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Morgan Klaus Scheuerman - Wikipedia en.wikipedia.org. Checked 20 October 2026.
  2. Morgan Scheuerman – Sony AI ai.sony. Checked 20 October 2026.
  3. AI researchers tell Amazon to stop selling ‘flawed’ facial recognition to the police | The Verge theverge.com. Checked 20 October 2026.
  4. AI software defines people as male or female. That’s a problem | CNN Business cnn.com. Checked 20 October 2026.
  5. Morgan Klaus Scheuerman morgan-klaus.com. Checked 20 October 2026.
  6. Awards & Recognitions - CSCW 2020 cscw.acm.org. Checked 20 October 2026.
  7. News - Morgan Klaus Scheuerman morgan-klaus.com. Checked 20 October 2026.
  8. How computers see us: Doctoral student working to curb discrimination by artificial intelligence | CU Boulder Today | University of Colorado Boulder colorado.edu. Checked 20 October 2026.
  9. Research - Morgan Klaus Scheuerman morgan-klaus.com. Checked 20 October 2026.
  10. The FHIBE Team: Data, Dignity, and the People Who Made It Possible - Sony AI ai.sony. Checked 20 October 2026.