AI Hallucinations Are Creating Real-World Risks For Businesses

We all know by now what an AI hallucination is, at least generally – output that sounds right but in reality, is not. They can be amusing – like when Google's Bard (now Gemini) chatbot confidently claimed during a promotional video and live demo that the James Webb Space Telescope took the first picture of an exoplanet – a fact it simply invented, since the first such image was actually taken by a different telescope years earlier. This was not so amusing to Google's management and shareholders – Google's parent company, Alphabet, lost roughly $100 billion in market capitalization, with its stock plunging about 8–9% immediately after the demo.

These are not mere technical glitches; they represent cracks in an AI's reliability. Studies report that some of the newest, most powerful AI models are generating more errors, not fewer, even as their fluency and capabilities improve.1 For businesses and society, the dangers and consequences of AI hallucinations