OpenAI, Meta caution US judiciary about risk of 'deepfake' evidence

According to Investing.com, the technology experts presented their concerns at a meeting in Boston of the US Judicial Conference's Advisory Committee on Evidence Rules.[1]Investing.com reports that Shira Anderson, policy counsel at OpenAI, told the committee that AI images continue to improve in quality. She said she does not believe a scientific method will exist in the future to detect them.[1]According to the same report, Devin Norder, director of product management at Meta, said that media created by recent AI models cannot be distinguished by humans from authentic content. He added that creating such media now requires minimal cost and time.[1]World Today Journal reports that Anderson cautioned the judicial committee that because each company uses its own system, there is no universal method to reliably detect all watermarks or verify the authenticity of visual content.[2]Investing.com reports that a survey conducted by the Federal Judiciary Center in March found that only 15 out of 931 judges who responded had encountered a case where a party challenged evidence on grounds that it was a deepfake.[3]According to Investing.com, US District Judge Jesse Furman of Manhattan, who chairs the panel, noted that while academic commentary predicts courts will deal with deepfakes, the issue has not yet appeared frequently in actual cases.[1]The committee's agenda book, published by the US courts, says Judge Furman also acknowledged the slow pace of rulemaking, and emphasized that Rule 901(c) would not go into effect until December 1, 2028 – even if published this summer.[4]