The Dangers of A.I. with Wrong Training Data We MUST know
Most of the AI we use today is based on the training data being fed to it, but as of today where we're using AI for most of the things, what if the training data is wrong or have inaccuracies.
In those cases instead of taking everything coming out of AI as correct, we MUST validate the results because we as an end user of the AI has no control on the data being fed to train the AI.
In this video, I've talked about how we need to understand and careful about the dangers of the AI use with wrong training data and I've given a simple maths example to emphasise the point.
Hope you'll like this video
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