How AI Really Thinks — and Why It Hallucinates

About this episode

This episode explores AI hallucinations, their implications for machine thinking, and advancements in AI technology.

In this episode of ThinkCast, we explore one of the most persistent — and evolving — challenges with AI: hallucinations. Gartner Chief of Research Chris Howard breaks down what hallucinations really are, why they happen and what they reveal about how machines think. From multiagent systems to physics-informed neural networks, discover how the next wave of AI innovation is moving beyond prediction and toward precision, all while relying on AI-ready data. You'll learn: Why hallucinations happen and what they say about how AI works How multiagent systems and PINNs are changing how machines reason When to use probabilistic neural networks vs. deterministic tools Why not every business problem needs AI How hallucinations might actually help reframe your thinking Dig deeper: Download Gartner's CIO Agenda for 2026 Try out AskGartner for more AI-powered insights See why Gartner is the world authority on AI

People in this episode

Host: Chris Howard

Topics covered

• AI hallucinations
• machine reasoning
• multiagent systems
• probabilistic neural networks
• AI innovation

Keywords

• AI
• hallucinations
• multiagent systems
• neural networks
• AI-ready data

Mentioned in this episode

Organizations: Gartner

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