Part 3/10:
Whisper is known for its near-human accuracy, but underlying this accuracy is a pattern of hallucinations—distinct from simple transcription errors. These hallucinations manifest as entirely made-up sentences or phrases that originate from Whisper’s algorithms attempting to fill perceived gaps in audio recordings. This is particularly dangerous in healthcare, where inaccurate transcriptions can directly impact patient care.