AI tech exaggerates biases in facial age perception more than humans 

Photo by Andrea Piacquadio (Pexels)
Photo by Andrea Piacquadio (Pexels)
Photo by Andrea Piacquadio (Pexels) - Artificial intelligence is the future. In fact, it's already here. One of the latest advancements is using it for automatically estimating age based on a person's face, a technology used for determining who can enter a bar or potentially view age-restricted content online. But are there biases in AI processing? Researchers from Western University and Ben-Gurion University of the Negev (Israel) tested a large sample of the prominent major AI technologies available today and found not only did they reproduce human biases in the recognition of facial age, but they exaggerated those biases. The findings were published in Scientific Reports . Estimates of a person's age from their facial appearance suffer from several well-known human biases and inaccuracies. Past studies from this international research team have proved individuals tend to overestimate the age of people with smiling faces compared to those with a neutral expressions, and the accuracy of our estimates decreases for older faces.
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