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Utah's rules of evidence would gain a new provision, Rule 707, governing how courts handle evidence generated by artificial intelligence or algorithmic systems—such as risk assessments, predictive tools, or machine-learning classifications—when that evidence is presented without an expert witness to explain it. Under this new rule, a judge could only admit such machine-generated evidence if it would help the judge or jury understand the case or decide a disputed fact, if it is based on adequate data, and if it results from reliable methods that were applied properly to the facts at hand—the same standards currently required of expert testimony. Simple measuring devices like thermometers or scales that just report data without drawing conclusions would not be subject to these requirements. The rule would apply whether the machine-generated evidence is presented on its own or alongside testimony from a non-expert witness, and because it amends court evidence rules, it requires a two-thirds vote of both legislative chambers to take effect.