Rebecca Delfino (Loyola Law School Los Angeles) has posted Deepfakes On Trial 2.0: A Revised Proposal For A New Federal Rule Of Evidence To Mitigate Deepfake Deceptions In Court on SSRN. Here is the abstract:
This Article proposes a revised amendment to Federal Rule of Evidence 901 to address the unique challenges posed by deepfakes and other synthetic media generated by artificial intelligence. As generative AI tools grow increasingly sophisticated, they can fabricate hyper-realistic images, audio, and video content capable of deceiving judges and jurors alike. The current evidentiary framework—particularly Rule 901—fails to account for this new threat, relying on traditional authentication methods that are insufficient for detecting AI-generated falsifications. Building on the author's earlier proposal in Deepfakes on Trial: A Call to Expand the Trial Judge’s Gatekeeping Role to Protect Legal Proceedings from Technological Fakery, 74 Hastings L.J. 293 (2023), to reallocate authentication determinations from the jury to the trial judge under Rule 104(a), this revised framework introduces a targeted amendment: Rule 901(c). The proposed rule establishes a structured burden-shifting model that requires heightened authentication and reliability standards once a credible challenge is raised. The Article distinguishes between generative and non-generative AI to avoid overreach, offers a comparative analysis of emerging proposals, and supports judicial gatekeeping with empirical research demonstrating that judges are better equipped than jurors to assess the authenticity of digital evidence. By modernizing the authentication doctrine, the proposal safeguards the integrity of legal proceedings, promotes evidentiary reliability, and protects against the manipulation of the justice system through AI-generated fakery.