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66 points

One of my favorite examples is when a company from India (I think?) trained their model to regulate subway gates. The system was supposed to analyze footage and open more gates when there were more people, and vice versa. It worked well until one holiday when there were no people, but all gates were open. They eventually discovered that the system was looking at the clock visible on the video, rather than the number of people.

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16 points

Reminds me of the time a military algorithm was accidentally trained to conclude that tanks are only concealed in tree lines on overcast days.

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18 points

Just an expensive timer.

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