(To prove to you these stories are all very real, you can find details about them here, here, here, and here.) These are all examples of AI “hallucinations” – situations where generative AI produces ...

AI hallucinations produce confident but false outputs, undermining AI accuracy. Learn how generative AI risks arise and ways to improve reliability.

5 subtle signs that ChatGPT, Gemini, and Claude might be fabricating facts ...

Discover why AI tools like ChatGPT often present false or misleading information. Learn what AI hallucinations are, and how ...

Why do AI hallucinations occur in finance and crypto? Learn how market volatility, data fragmentation, and probabilistic modeling increase the risk of misleading AI insights.

Inaccurate online information produced by large language models (LLMs) powering today’s AI technology can trigger the most unusual responses, despite the ability to sift through vast amounts of data ...

Foundation models with the ability to process and generate multi-modal data have transformed AI’s role in medicine. Nevertheless, researchers discovered that a major limitation of their reliability is ...

The GenAI firewall solution proactively intercepts malicious inputs and harmful AI responses in real time from one, centralized, easy-to-use console "The rapid adoption of AI has introduced a new set ...

If you've used ChatGPT, Google Gemini, Grok, Claude, Perplexity or any other generative AI tool, you've probably seen them make things up with complete confidence. This is called an AI hallucination - ...

Amid growing concerns over AI-generated misinformation and hallucinated outputs, Matthijs de Vries, founder of data infrastructure firm Nuklai, argues that better model architecture alone is ...

A hallucination is the experience of sensing something that isn't really present in the environment but is instead created by the mind. Hallucinations can be seen, heard, felt, smelled, and tasted, ...