AI Takes The Stand: The New Frontier In White-Collar Evidence
Artificial intelligence (AI) is increasingly being used as evidence in federal criminal trials, raising concerns about reliability and bias. The U.S. Judicial Conference's Advisory Committee has proposed a new rule to extend reliability requirements to AI-generated evidence offered without an expert.
Artificial intelligence (AI) is being used as evidence in federal criminal trials, with significant implications for white-collar practitioners. AI-generated evidence presents concerns about analytical errors, bias, and lack of interpretability. Under Federal Rule of Evidence 702 and the Daubert standard, trial courts must act as gatekeepers to ensure expert testimony is reliable. Courts have had mixed results in applying these rules to AI-generated evidence. The U.S. Judicial Conference's Advisory Committee has proposed Federal Rule of Evidence 707 to extend reliability requirements to AI-generated evidence offered without an expert. This rule is set for a vote on May 7, 2026.
This content was automatically generated and/or translated by AI. It may contain inaccuracies. Please refer to the original sources for verification.