PeopleofSuperintelligence

Researcher

Jerone Andrews

Jerone Andrews is a computer vision researcher at Sony AI whose work on dataset diversity and ethical data collection earned a Best Paper Award at ICML 2024. He studied mathematics at King's College London, completed an EPSRC-funded MRes and PhD in computer science at University College London, and held a Royal Academy of Engineering Research Fellowship before joining Sony AI, where he contributed to the Gastronomy and AI Ethics flagship projects. At Sony AI, he coauthored A View From Somewhere, a face similarity dataset presented at ICLR 2023, and led the NeurIPS 2023 oral paper "Ethical Considerations for Responsible Data Curation." With Dora Zhao, Orestis Papakyriakopoulos and Alice Xiang, he won the ICML 2024 award for "Position: Measure Dataset Diversity, Don't Just Claim It," and in 2025 he was among the Sony AI creators of the FHIBE fairness benchmark. He works at Sony AI and coauthored GenDataAgent, an ICLR 2026 paper on augmenting training datasets with synthetic data.

Now at
Sony

Timeline

  1. By 2021

    Mathematics and a UCL PhD

    By 2021, he earns an MSci in Mathematics at King's College London, then an EPSRC-funded MRes and PhD in Computer Science at University College London, in its Vision & Imaging Science group. While at UCL, he spends time as a Visiting Researcher at the National Institute of Informatics in Tokyo and at Telefónica Research in Barcelona. A Royal Academy of Engineering Research Fellowship, a British Science Association Media Fellowship with BBC Future and a Marie Skłodowska-Curie RISE grant follow before he joins Sony.

  2. 2021

    Research scientist at Sony AI

    In 2021, he is a Research Scientist at Sony AI, contributing to its Gastronomy and AI Ethics flagship projects, with expertise in computer vision and deep learning, in particular self-supervised anomaly detection, transfer learning and adversarial machine learning. In October 2021, he speaks on a UCL AI Centre Black History Month panel, "How to use AI to benefit the Black community," about biases in people-centric computer vision datasets.

  3. 2023

    The A View From Somewhere dataset

    In 2023, he coauthors A View From Somewhere (AVFS) with Alice Xiang, a dataset of 638,180 face similarity judgments over 4,921 faces, built to capture human diversity without semantic labels such as race, age or gender. The work is presented at the 2023 International Conference on Learning Representations.

  4. 2023

    Ethical data curation at NeurIPS

    With Alice Xiang and contributions from the AI Ethics team at Sony AI, he leads the paper "Ethical Considerations for Responsible Data Curation," which offers recommendations for curating evaluation datasets in human-centric computer vision. He presents it as an oral at NeurIPS 2023.

  5. 2024

    An ICML Best Paper Award

    In 2024, he wins a Best Paper Award at ICML with Dora Zhao, Orestis Papakyriakopoulos and Alice Xiang for "Position: Measure Dataset Diversity, Don't Just Claim It." The paper reviews 135 image and text datasets, proposes measurement theory as a framework for conceptualizing, operationalizing and evaluating diversity, and includes a case study of Meta's Segment Anything dataset, SA-1B.

  6. 2025

    The FHIBE fairness benchmark

    In 2025, he is among the Sony AI creators of the Fair Human-Centric Image Benchmark (FHIBE), and one of the reviewers of its datasheet. FHIBE is a publicly available fairness benchmark with informed consent, licensing and compensation, created to evaluate fairness and robustness in human-centric computer vision applications.

  7. 2026

    GenDataAgent at ICLR 2026

    In 2026, he coauthors GenDataAgent at ICLR with Zhiteng Li, Lele Chen, Yunhao Ba, Yulun Zhang and Alice Xiang. The paper proposes a generative agent that augments training datasets with synthetic data for model fine-tuning.

Career

  1. Since 2021SonyResearch Scientist
  2. Research Organization of Information and SystemsVisiting Researcher
  3. TelefónicaVisiting Researcher

Education

  1. King's College LondonMSci in Mathematics
  2. University College LondonMRes

From the biography.

  1. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Sony. 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.
  2. Google has the highest combined h-index among AI organizationsIncludes Sony. 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.
  3. 23% of people shaping AI who left a university for a company later returned to a universityIncludes Sony. We estimate that 468 of the 2,011 people shaping AI who left a university for a company (23%) later returned to a university after a median of 5 years, and 163 of 829 (20%) made the reverse round trip.
  4. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University College London. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Jerone Andrews yet. Send us a free-licensed photo.

  1. Meet the Team #2: Lingjuan, Jerone and Roberto - Sony AI ai.sony. Checked 21 October 2026.
  2. Speakers | DCAI Workshop dcai-workshop.github.io. Checked 21 October 2026.
  3. Celebrating Black Voices in AI: Sony AI Team Member Jerone Andrews Discusses Mitigating Biases in Visual Datasets at UCL AI Centre Black History Month Event - Sony AI ai.sony. Checked 21 October 2026.
  4. New Dataset Labeling Breakthrough Strips Social Constructs in Image Recognition - Sony AI ai.sony. Checked 21 October 2026.
  5. Navigating Responsible Data Curation Takes the Spotlight at NeurIPS 2023 - Sony AI ai.sony. Checked 21 October 2026.
  6. ICML 2024 Awards icml.cc. Checked 21 October 2026.
  7. Ushering in Needed Change in the Pursuit of More Diverse Datasets - Sony AI ai.sony. Checked 21 October 2026.
  8. Interview with Jerone Andrews: a framework towards evaluating diversity in datasets - AIhub aihub.org. Checked 21 October 2026.
  9. Fair Human-Centric Image Benchmark (FHIBE) Datasheet fairnessbenchmark.ai.sony. Checked 21 October 2026.
  10. Sony AI Publications | Research Papers & Scientific Findings ai.sony. Checked 21 October 2026.