Oklahoma House Bill HB2016

Oklahoma 2026 Regular Session

• Introduced: 2/3/25
• Refer: 2/4/25
• Refer: 2/12/25

Caption

Evidence; artificial intelligence expert testimony; effective date.

Summary

HB2016 amends Oklahoma’s evidence code to address the use of artificial intelligence and other automated systems in court. First, it updates the expert testimony statute to make clear that when the output of a process or system is offered in place of a human expert, the proponent must show the output is helpful to the factfinder, based on sufficient and pertinent inputs, produced by reliable methods, and reliably applied to the case facts under conditions similar to those in which the system was validated. Second, the bill amends the hearsay statute to allow the accuracy of machine-generated output to be attacked or supported in the same way as a human declarant’s hearsay statement. It also permits courts to consider inconsistent outputs or prior false outputs from the same process or system when relevant to accuracy. The bill takes effect November 1, 2025.

Impact

The bill would modify Title 12 of the Oklahoma Statutes, Sections 2702 and 2806, by expressly incorporating artificial intelligence and other automated systems into rules governing expert testimony and hearsay. In practice, it would create a framework for admitting and challenging AI-generated evidence, affecting litigants, expert witnesses, attorneys, and courts that rely on machine-produced analyses, reports, or outputs in civil and potentially other proceedings.

Sentiment

The available record shows no committee transcript, vote tally, or recorded opposition, so there is no documented debate to indicate strong support or resistance. Based on the bill’s caption and text, the measure appears to be a technical evidentiary update intended to modernize court rules for AI-generated evidence rather than a broadly controversial policy change.

Contention

The main potential point of contention is how strictly courts should require proof that AI or other automated outputs are reliable, based on sufficient data, and applied under substantially similar conditions. Parties challenging the bill may be concerned about the admissibility of machine-generated evidence and the ability to scrutinize proprietary systems or inputs, while supporters are likely to emphasize the need for clear standards as AI becomes more common in litigation. The bill also raises practical questions about how to evaluate prior false outputs and inconsistent system behavior when assessing credibility and accuracy.