Jerone
Andrews
Profile
Jerone is a research scientist and contributes to the Sony AI Gastronomy and AI Ethics flagship projects. His research interests and expertise span computer vision and deep learning, in particular self-supervised anomaly detection, transfer learning, and adversarial machine learning. Prior to joining Sony, Jerone received an MSci in mathematics from King’s College London, which he followed with an EPSRC-funded MRes and Ph.D. in computer science at University College London (UCL). Subsequently, Jerone was awarded a Royal Academy of Engineering Research Fellowship, a British Science Association Media Fellowship with BBC Future, and a Marie Skłodowska-Curie RISE grant. While at UCL, Jerone also spent time as a Visiting Researcher at the National Institute of Informatics (Tokyo) and Telefónica Research (Barcelona).
Message
“As an avid cook, I was thrilled to become a part of the Gastronomy team, where I hope to contribute to the creation of AI tools that help reveal memorable and aesthetically pleasing visual content. I admire and share as a priority Sony AI’s commitment to examining the scientific and social impacts of AI algorithms. In my AI ethics role, I am currently developing auditing tools that can be used to assess the visual diversity of datasets. Through this work, I hope to ensure that datasets accurately represent the visual diversity that exists within and across all demographic groups.”
Publications
Despite extensive efforts to create fairer machine learning (ML) datasets, there remains a limited understanding of the practical aspects of dataset curation. Drawing from interviews with 30 ML dataset curators, we present a comprehensive taxonomy of the challenges and trade…
Vision-language models (VLMs) pre-trained on extensive datasets can inadvertently learn biases by correlating gender information with specific objects or scenarios. Current methods, which focus on modifying inputs and monitoring changes in the model's output probability scor…
We tackle societal bias in image-text datasets by removing spurious correlations between protected groups and image attributes. Traditional methods only target labeled attributes, ignoring biases from unlabeled ones. Using text-guided inpainting models, our approach ensures …
Deep neural networks trained via empirical risk minimisation often exhibit significant performance disparities across groups, particularly when group and task labels are spuriously correlated (e.g., “grassy background” and “cows”). Existing bias mitigation methods that aim t…
Human-centric computer vision (HCCV) data curation practices often neglect privacy and bias concerns, leading to dataset retractions and unfair models. HCCV datasets constructed through nonconsensual web scraping lack crucial metadata for comprehensive fairness and robustnes…
Human-centric image datasets are critical to the development of computer vision technologies. However, recent investigations have foregrounded significant ethical issues related to privacy and bias, which have resulted in the complete retraction, or modification, of several …
Blog
July 27, 2024 | AI Ethics
Ushering in Needed Change in the Pursuit of More Diverse Datasets
Sony AI, Research Scientist, Jerone Andrews’ paper, "Measure Dataset Diversity, Don't Just Claim It", has won a Best Paper Award at ICML 2024. This recognition is a testament to the groundbreaking work being done to improve the re…
Sony AI, Research Scientist, Jerone Andrews’ paper, "Measure Dataset Diversity, Don't Just Claim It", has won a Best Paper Award a…
January 18, 2024 | Events
Navigating Responsible Data Curation Takes the Spotlight at NeurIPS 2023
The field of Human-Centric Computer Vision (HCCV) is rapidly progressing, and some researchers are raising a red flag on the current ethics of data curation. A primary concern is that today’s practices in HCCV data curation – whic…
The field of Human-Centric Computer Vision (HCCV) is rapidly progressing, and some researchers are raising a red flag on the curre…
December 13, 2023 | Events
Sony AI Reveals New Research Contributions at NeurIPS 2023
Sony Group Corporation and Sony AI have been active participants in the annual NeurIPS Conference for years, contributing pivotal research that has helped to propel the fields of artificial intelligence and machine learning forwar…
Sony Group Corporation and Sony AI have been active participants in the annual NeurIPS Conference for years, contributing pivotal …
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