AI Transcription Hallucinations: A Growing Concern
Matilda
AI Transcription Hallucinations: A Growing Concern
Generative AI models, such as OpenAI's Whisper, have revolutionized the way we process and understand audio content. Their ability to accurately transcribe speech into text has opened up new possibilities in fields ranging from healthcare to legal proceedings. However, as these models become increasingly sophisticated, a concerning issue has emerged: the tendency to hallucinate or fabricate information during transcription. Understanding AI Hallucination AI hallucination occurs when a model generates content that isn't grounded in the input data. In the context of transcription, this can manifest as the addition of fabricated words, phrases, or even entire sentences that were not present in the original audio. This phenomenon can be attributed to several factors, including: Model Complexity: As models become more complex, they can generate increasingly creative and unexpected outputs, sometimes straying from the factual input data. Data Quality and Quantity: The quality and quanti…
