2025 AI Darwin Award nominations are open • Register

Applications of AI


It was supposed to happen. The Darwin Awards have been expanded to include examples of unfortunate adventures that include AI's enthusiastic applications.

Nominations are open to the 2025 AI Darwin Awards, and the list of candidates is growing, spurring the world of high-tech, tired of AI and evangelists.

There is a Taco Bell Drive-Thru incident. In this case, the chain overestimated the devastating ability of AI to understand customer orders.

Or replica moments where vibe coding spots nuke the production database despite instructions from users not to mess with the code without permission.

Next there was the disastrous security surrounding the AI ​​chatbot used to screen McDonald's applicants, where provided a password of 123,456 gave us access to details of the 64 million job seekers.

Darwin's awards have traditionally been distributed (in a hypothetical sense) to individuals who were able to remove themselves from the gene pool as a result of their own stupidity. Instead, the AI ​​Darwin Award is a collection of warning stories in which the inappropriate application of AI has led to disaster.

This award is not a exploiting fun in AI itself, but the result of the application without proper attention and attention.

“Artificial intelligence is a tool like a chainsaw, a nuclear reactor, or a particularly aggressive blender. It's not the chainsaw's fault that someone decided to juggle it at a dinner party,” the organizers say.

“The AI ​​system itself is an innocent victim in this overall relationship. They follow their programming, like extremely enthusiastic puppies who happen to have access to global infrastructure and their ability to make decisions at the speed of light.”

Register Run weekly columns. So I fully support this approach to documenting the poor decision-making behind AI-condemned FIASCOS.

As organizers say, “Why do you stop by the individual's grand acts of stupidity when you can expand them to a global proportion with machine learning?” ®



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