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AI Darwin Awards launch to celebrate spectacularly bad deployments

It was bound to happen. The Darwin Awards are being extended to include examples of misadventures involving overzealous applications of AI.

Nominations are open for the 2025 AI Darwin Awards and the list of contenders is growing, fueled by a tech world weary of AI and evangelists eager to shove it somewhere inappropriate.

There's the Taco Bell drive-thru incident, where the chain catastrophically overestimated AI's ability to understand customer orders.

Or the Replit moment, where a spot of vibe coding nuked a production database, despite instructions from the user not to fiddle with code without permission.

Then there's the woeful security surrounding an AI chatbot used to screen applicants at McDonald's, where feeding in a password of 123456 gave access to the details of 64 million job applicants.

The Darwin Awards have traditionally been handed out (in a virtual sense) to individuals who have managed to remove themselves from the gene pool as a result of their own stupidity. The AI Darwin Awards, instead, are a collection of cautionary tales where an ill-conceived application of AI resulted in disaster.

The awards are not about poking fun at AI itself, but the consequences of its application without due care and attention.

"Artificial intelligence is just a tool – like a chainsaw, nuclear reactor, or particularly aggressive blender. It's not the chainsaw's fault when someone decides to juggle it at a dinner party," the organizers say.

"AI systems themselves are innocent victims in this whole affair. They're just following their programming, like a very enthusiastic puppy that happens to have access to global infrastructure and the ability to make decisions at the speed of light."

The Register runs a weekly column of IT whoopsies called Who, Me? As such, we wholly endorse this approach to documenting the poor decision-making behind fiascos blamed on AI.

As the organizers say: "Why stop at individual acts of spectacular stupidity when you can scale them to global proportions with machine learning?" ®

Source: The register

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