Meta's new data set includes more than 25,000 videos from more than 5,000 people across seven countries. The release is designed to help make algorithms more fair and inclusive.
An illustration showing some of the labels Meta's Casual Conversations v2 data set captures. Image: Meta
: Meta's new data set, known as Casual Conversations v2, includes more than 25,000 videos from more than 5,000 people across seven countries, with people self identifying their age, gender, race and other characteristics such as disability and physical adornments. Trained vendors added additional metadata, including voice and skin tones.
An earlier data set, released in 2021, had similar goals but involved fewer people, included a narrower set of categories and only had U.S. participants.What they're saying "It’s much easier and much better to get things right at the beginning than it is to fix things late in the process," he said. "We are at the beginning of a technology likely to impact us for decades if not centuries to come.": Ethical AI experts say there are a range of actions that need to be taken to minimize algorithmic bias, from improving training data to testing for disparate outcomes.
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