A 92% AI accuracy rate can fool you
Watch on YouTube For example: an AI is right 92% of the time. Sounds good. But in which cases does it fail? Does it fail more often with certain users? Is the remaining 8% irrelevant, or does it include critical situations? Was the sample representative? What happens if the system is used millions of times a day? Without this way of thinking, you can celebrate a nice metric and deploy a massive problem
For example: an AI is right 92% of the time. Sounds good. But in which cases does it fail? Does it fail more often with certain users? Is the remaining 8% irrelevant, or does it include critical situations? Was the sample representative? What happens if the system is used millions of times a day? Without this way of thinking, you can celebrate a nice metric and deploy a massive problem.
Full episode: https://youtu.be/m2OQeZKX07I
🤖 AI-generated content: the script, voices, and images in this episode were produced using artificial intelligence tools.
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