By Marty Swant

With all the AI hearings happening in Congress and around the world, it can be tricky keeping track of all the discussions about AI’s potential risks and rewards — let alone how to regulate it. However, in a hearing last week with British Parliament, a former rocket scientist gave a memorable metaphor that helps illustrate the importance of quality data in the debate about generative AI.

During a hearing held by British Parliament last week, Peter Waggett, IBM’s U.K. director of research, recalled how he used to use the ozone layer as a calibration constant until researchers found a hole in it that totally changed their perspective. That also taught him how important it is to “understand the data that you’re taking into a system and not just taking anything at face value.”

“I just sat there thinking, ‘Why didn’t I spot it, what did I miss?’” Waggett said during the hearing. “As it turned out, the assumption had been made in the database that if the data isn’t constant, it must be wrong; throw it out. In that instance, I learned early on that you must understand what’s going on there.”

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Source:: Digiday

Author: Aaron