AI Transcription Errors Raise Concerns Over Courtroom Evidence

The growing use of artificial intelligence to transcribe audio recordings is raising concerns about the accuracy of evidence presented in court, particularly when AI-generated transcripts contain words or statements that were never spoken.

The issue has drawn renewed attention following reports involving a Canadian court case in which AI-generated transcription errors affected the reliability of certified legal records.

Unlike ordinary transcription mistakes, AI systems can produce convincing but incorrect passages, sometimes described as hallucinations. These errors may include fabricated words, missing statements or incorrectly attributed speech.

Such inaccuracies can become particularly significant in criminal investigations, where recorded interviews, witness statements and intercepted communications may be used as evidence.

For digital-forensics investigators, the distinction between an authentic recording and an accurate transcript is critical. Even when the original audio file has been preserved without modification, an AI-generated transcript may misrepresent its contents.

Examiners should verify disputed passages against the original recording, document the transcription software and review process, and preserve both the source audio and any corrected versions.

The concerns highlight the need for human verification when AI-assisted transcription is used in legal proceedings. Automated transcripts may help investigators process large volumes of recordings, but their accuracy cannot be assumed without independent examination.