Meta AI and Wikimedia Foundation Build an ML-Powered, Citation-Checking Bot
Digital Trends reports: Working with the Wikimedia Foundation, Meta AI (that's the AI research and development research lab for the social media giant) has developed what it claims is the first machine learning model able to automatically scan hundreds of thousands of citations at once to check if they support the corresponding claims.... "I think we were driven by curiosity at the end of the day," Fabio Petroni, research tech lead manager for the FAIR (Fundamental AI Research) team of Meta AI, told Digital Trends. "We wanted to see what was the limit of this technology. We were absolutely not sure if [this AI] could do anything meaningful in this context. No one had ever tried to do something similar [before]." Trained using a dataset consisting of 4 million Wikipedia citations, Meta's new tool is able to effectively analyze the information linked to a citation and then cross-reference it with the supporting evidence.... Just as impressive as the ability to spot fraudulent citations, however, is the tool's potential for suggesting better references. Deployed as a production model, this tool could helpfully suggest references that would best illustrate a certain point. While Petroni balks at it being likened to a factual spellcheck, flagging errors and suggesting improvements, that's an easy way to think about what it might do.
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