What is Artificial Intelligence Hallucinations or AI Hallunication?
AI Hallucinations occur when an AI model generates an inaccurate or faulty output, i.e., the output either does not belong to the training data or is fabricated.
The effect of Hallucination could range from minor factual error(s) (in the case of LLMs) or generating a contrary output (for example, a dreamy image generated by a text-to-image AI model). For instance, when asked to a Chabot to provide a synonym for Augmentation, it repeatedly tried to give an inaccurate result (refer to Figure 1).
Artificial Intelligence Hallucinations
The term āhallucinationā takes on a new and exciting meaning in artificial intelligence (AI). Unlike its meaning in human psychology, where it relates to misleading sensory sensations, AI hallucination refers to AI systems generating imaginative novel, or unexpected. These outputs frequently exceed the scope of training data.
In this post, we will look into the concept of AI hallucination problems, causes, detections, and prevention in the field of AI.
Table of Content
- What is Artificial Intelligence Hallucinations or AI Hallunication?
- Real-World Example of an Artificial Intelligence (AI) Hallucination
- Causes of Artificial Intelligence (AI) Hallucinations
- How Can Hallucination in Artificial Intelligence (AI) Impact Us?
- How can we Detect AI Hallucinations?
- How to Prevent Artificial Intelligence (AI) Hallucinations?
- Conclusion