Minnesota Deepfake Law Faces AI Challenge

In a legal challenge against Minnesota's 'Use of Deep Fake Technology to Influence an Election' law, it has been revealed that an affidavit supporting the legislation may contain AI-generated text. The affidavit, submitted by Jeff Hancock of Stanford University, cites studies that do not exist, raising concerns about the reliability of his testimony. The plaintiffs, including conservative YouTuber Christopher Khols and state Rep. Mary Franson, argue that these non-existent citations are indicative of AI 'hallucinations' commonly associated with large language models like ChatGPT. This situation highlights the irony of an expert on misinformation potentially propagating it while supporting a law aimed at combating AI-generated falsehoods. As the case unfolds, the implications of AI's role in legal documents and the credibility of expert testimonies are increasingly scrutinized.