AI Hallucinations and Reliability Challenges | PureLogics Pulse | Podcast

Описание: In this episode of PureLogics Pulse, host Mohsin Ali is joined by Ian Garrett, CEO and Co-Founder of SendTurtle, to unpack the challenges of AI hallucinations and reliability in enterprise applications.

As organizations scale AI adoption, hallucinations where AI generates outputs that sound correct but are factually inaccurate pose operational, financial, and reputational risks. This conversation explores why hallucinations occur, how probabilistic prediction differs from guaranteed truth, and why careful benchmarking and validation remain essential.

The discussion also covers practical strategies for improving AI reliability, including confidence thresholds, validation layers, adversarial prompting, and designing models for specific business use cases. This episode is a must-watch for CTOs, CIOs, founders, and technology leaders seeking to deploy AI responsibly in 2026 and beyond.

Show Notes
• AI hallucinations stem from probabilistic prediction rather than guaranteed factual output.
• Reliable AI requires benchmarking aligned with actual business use cases.
• Confidence thresholds and validation workflows help reduce operational risk.
• Adversarial prompting encourages models to critique and refine outputs.
• Human oversight remains critical, especially in high-stakes applications.
• Responsible AI adoption balances productivity gains with risk mitigation and governance readiness.

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