A new paper from the Tony Blair Institute for Global Change, presented yesterday by the former Prime Minister himself, predicts that more than 40 percent of tasks performed by public-sector workers could be partly automated, saving a fifth of their time in aggregate, and potentially leading to a huge reduction in workforce and costs for the government.
The problem with this prediction, which was picked up by Politico, Techradar, Forbes, and others, is that it was made by ChatGPT after the authors of the paper admitted that making a prediction based on interviews with experts would be too hard. Basically, the finding that AI could replace humans at their jobs and radically change how the government works was itself largely made by AI.
“This is absurd—they might as well be shaking at Magic 8 ball and writing down the answers it displays,” Emily Bender, a professor and director of the Computational Linguistics Laboratory at University of Washington, told me.