AI Hallucinations in Transcription software

Have you heard of artificial intelligence “AI Hallucinating”?

AI Hallucinations: What they are and why they happen

‘AI hallucinations’ refer to instances when artificial intelligence, particularly language models like ChatGPT, Llama, Gemini and others – generate information that appears plausible but is entirely incorrect or fabricated. These ‘hallucinations’ are a result of how language models are designed to predict words and patterns based on vast datasets.

AI models don’t understand information in the way humans do. Instead, they analyse patterns and probabilities from their training data to generate responses. When faced with ambiguous, incomplete, or unfamiliar input, the model attempts to ‘fill in the gaps,’ sometimes leading to inaccuracies. For example, it might produce non-existent details that sound convincing.

Reducing AI hallucinations requires strategies to ensure more reliable outputs. Here are some tips to minimise their occurrence:

  1. High-Quality Audio Input
  • Use clear recordings with minimal background noise. Poor audio quality increases the chances of hallucinations.
  • Speak clearly, enunciate words, and avoid mumbling.
  • Use short, clear sentences to make it easier for the AI to process and predict accurately.
  1. Post-Processing and Editing
  • Review and edit transcriptions to catch inaccuracies caused by AI ‘hallucinations’ or errors in the Dict8ion web application.
  • Combine AI transcription with human to review questionable words or phrases, prompting manual verification.
  1. Human-in-the-Loop Verification
  • Combine AI transcription with human review to catch errors and hallucinations. A second layer of oversight ensures accuracy.
  • Use tools that allow for collaborative editing post-transcription.

You can support us to provide a high-quality, seamless experience by reporting any ‘hallucinations’ you find in the transcription. This will allow us to continue to train the Dict8ion AI to learn and adapt to deliver more precise outputs, reducing the likelihood of AI hallucinations and improving overall reliability.

At Dict8ion, we know AI transcription isn’t flawless, but we’ve found a way to optimize it! By integrating a hybrid AI-human workflow, we significantly minimize errors, ensuring our transcriptions are as accurate as possible. We have also optimised the way our  LLM processes the files to help produce the most accurate result possible. We’re harnessing the power of AI, fortified by the meticulousness of human expertise.