#ai-hallucinations

#ai-hallucinations

When AI hallucinates, it can create information that is completely or partly inaccurate. At times, these AI hallucinations are completely nonsensical and therefore easy for users to detect and dismiss. But what happens when the answer sounds plausible and the user asking the question has limited knowledge on the subject? In such cases, they are very likely to take the AI output at face value, as it is often presented in a manner and language that exudes eloquence, confidence, and authority.

According to The Guardian, a new study claims that AI Overviews cause 79% fewer clickthroughs to top results in Google Search. The data comes from analytics company Authoritas.

Each citation, each argument, each procedural decision is a mark upon the clay, an indelible impression. [I]n the ancient libraries of Ashurbanipal, scribes carried their stylus as both tool and sacred trust-understanding that every mark upon clay would endure long beyond their mortal span.

The pilot scheme allows AI chatbots to generate community notes to accelerate the speed and scale of Community Notes on X.

AI hallucinations occur when an artificial intelligence system generates incorrect or misleading outputs based on patterns that don't actually exist.

Courts across the U.S. are confronting a surge of legal filings that rely on flawed AI-generated research, leading to fines and reprimands for attorneys.