VB Transform Watch every session from the AI event of the year On-Demand Watch Now In a new preprint study, researchers at the Eindhoven University of Technology, DePaul University, and the University of Colorado Boulder find evidence of bias in recommender systems like those surfacing movies on streaming websites. They …
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Researchers at Salesforce and the University of Virginia have proposed a new way to mitigate gender bias in word embeddings, the word representations used to train AI models to summarize, translate languages, and perform other prediction tasks. The team claims that correcting for certain regularities — like word frequency in …
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A preprint paper published by University of Trento researchers proposes a benchmark — MuST-SHE — to evaluate whether speech translation systems fed textual data are constrained by the fact that sentences sometimes omit gender identity clues. It’s the assertion of the coauthors that these systems can and do exhibit gender …
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A group of six influential women studying algorithmic bias, AI, and technology, released a spoken word piece titled “Voicing Erasure” to highlight racial bias in the speech recognition systems made by tech giants. Creators also made Voicing Erasure to recognize the exclusion and overlooked contributions of women scholars and researchers. …
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