AI Horror Stories: When AI Takes a Terrifying Turn
by Dan Shapiro, Patrick McFadin, Alistair Croll
Overview
AI is moving fast. So are the ways it can go spectacularly wrong. Vibe-coded apps leaking sensitive data. AI integrations that seemed clever until they weren’t. Or autonomous agents giving you everything you wished for, but that you didn’t realize you were asking for. The scariest AI stories aren’t about machines turning on us. They’re about the very human decisions that set the stage.
Because for every robot with glowing red eyes, there was an engineer who installed those LEDs on purpose.
Join us for an event with O’Reilly authors, practitioners, and industry experts who have seen what happens when AI meets the real world without adequate guardrails, governance, or good judgment. They’ll share their mistakes, the consequences of those mistakes, and what you can actually do to keep your own AI daydreams from becoming nightmares.
This recording of a live event is for you because...
- You’re shipping something with AI assistance and feel uneasy at not being entirely sure what’s actually running in production.
- You’re on a team that’s integrating AI tooling into real workflows and you want to build the instincts to catch problems before they become incidents.
- You believe that keeping humans meaningfully in the loop isn’t a limitation of AI—it’s the whole game.
Recommended follow-up:
- Read AI Engineering (book)
- Read AI-Assisted Programming (book)
Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
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