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Yet Another AI Blind Spot: Biased Images
Big Take
The Importance of Diversification in AI Models
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A lot of the blame for AI bias gets put on the data sets, but there needs to also be accountability from users at all levels. One of the things that needs to be done is increased diversification of the data set. There needs to be a way to get data from other countries, other cultures. That's ethical. If we move to optimizing technology where you don't just have to add more volume in order to have a better algorithm or model, that could help as well.
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highlights
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