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A Stanford University professor, Jeff Hancock, faces allegations of using AI to fabricate testimony in a case involving Minnesota's ban on political deepfakes. His expert declaration was submitted by Minnesota Attorney General Keith Ellison in a politically sensitive trial concerning free speech. The case centers around claims that Hancock cited a non-existent study to support his arguments.
The plaintiffs' lawyers have requested the dismissal of Hancock's testimony, asserting that it references a fabricated study likely generated by an AI model. This raises significant questions about the reliability of the evidence presented in court, particularly as the cited study does not exist in any academic database. The implications of this case highlight the potential for AI to create misleading information, especially in legal contexts.
• Stanford professor accused of using AI to create fake testimony.
• Plaintiffs claim cited study in testimony does not exist.
AI is referenced as a tool potentially used to generate false academic citations.
Deepfakes are central to the legal case, concerning their impact on political discourse.
The term describes the AI-generated false study that Hancock allegedly cited in his declaration.
Stanford is involved in research on misinformation and the implications of AI in communication.
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