"Smart people and companies fall into a common trap when it comes to AI: the false belief that adding a layer of AI on top of their current processes will hide rather than reveal a multitude of past sins."
"While they know full well that 'garbage in means garbage out,' they imagine themselves immune to slop, hallucinations, and customer dissatisfaction."
"They believe that their data is better than average, despite little investment, or that putting a human in the loop will deal with any problems that pop up down the line."
Many intelligent individuals and organizations fall into the misconception that integrating AI into their existing processes will conceal past mistakes. They acknowledge the principle of 'garbage in, garbage out' but mistakenly think they are exempt from issues like data inaccuracies and customer dissatisfaction. There is a belief that their data quality is superior without significant investment, and that human oversight will effectively manage any emerging problems.
Read at Harvard Business Review
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