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11 November 2025 Ethically sourced image data set encourages fairness in AI research AI systems rely on data that often lack diversity, perpetuate biases and violate intellectual-property rights. An ethical human-image data set addresses these problems. By Walter J. Scheirer 0 Walter J. Scheirer Walter J. Scheirer is in the Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, Indiana 46556, USA. View author publications PubMed Google Scholar
Like many areas of artificial intelligence, breakthrough applications of computer vision have relied on machine learning to train models using large pools of data collected from the Internet. This has led to the widespread deployment of systems that can recognize faces or human activities, or that are used in visual search engines. But this reliance on Internet data has also led to a host of ethical lapses involving users, individuals who provided training data and the developers themselves.
doi: https://doi.org/10.1038/d41586-025-03643-y
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Competing Interests The author declares no competing interests.
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