How AI Really Thinks — and Why It Hallucinates

March 24
14 mins

Episode Description

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

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