Can AI-based outcomes come from faulty data sets, poorly designed algorithms, or ineffective execution? Or can rather than those missteps be the sole responsibility of humans involved.
According to experts to blame AI is to misunderstand its nature. AI does what it’s told to do. If there are errors with the results, or they don’t match expectations, it’s because – somewhere along the chain – the AI has been instructed to do the wrong thing. So should Businesses resist the urge to turn to AI for its sake or could that prove costly? Let’s hear what Dr. Mark Nasila has to say about this. He is Chief Analytics Officer at FNB.
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