AI academic
Ben Recht on AI.
Professor, UC Berkeley (United States). Summaries of on-the-record statements, each linked to the original recording or post.
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Oct 9, 2026
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On the record
“Sadly, our technocratic imagination for what uncertainty quantification means is woefully narrow. Uncertainty quantification almost exclusively means error bars.”
“I’m always left with the uncomfortable problem that I have no idea what to do with probabilistic error bars.”
“For better or for worse, however, forecasters are not always engineers. They just might want to use the uncertainty to hedge their bets.”
Statements
- Ben Recht Argues Uncertainty Quantification is Narrowly Defined
Ben Recht argues that uncertainty quantification in forecasting is too narrowly defined, primarily relying on error bars and prediction intervals. He suggests a need for more imaginative approaches to better prepare for forecast failures.