A former rocket scientist recently spoke before the UK Parliament and used a powerful metaphor to emphasise the significance of quality data in the generative AI debate. Peter Waggett, the UK research director for IBM, shared how he once utilised the ozone layer as a calibration constant until a hole was discovered, which completely altered their viewpoint. This experience taught him the importance of comprehending the data being inputted into a system and not just accepting it at face value. Waggett admitted that he had missed this crucial detail and wondered why he didn't notice it earlier. It was revealed that the database had assumed that if the data wasn't constant, it had to be incorrect and should be discarded. This taught him the valuable lesson of understanding what is happening behind the scenes.
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