How AI Really Thinks — and Why It Hallucinates
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How AI Really Thinks — and Why It Hallucinates
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About this listen
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
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