Understanding the Representation and Representativeness of Age in AI Data Sets
Understanding the Representation and Representativeness of Age in AI Data Sets
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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A diverse representation of different demographic groups in AI training data sets is important in ensuring that the models will work for a large range of users. To this end, recent efforts in AI fairness and inclusion have advocated for creating AI data sets that are well-balanced across race, gender, socioeconomic status, and disability status. In...
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Understanding the Representation and Representativeness of Age in AI Data Sets
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TN_cdi_proquest_journals_2502075770
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2502075770
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2103.09058
