The Importance of Interpretability in AI

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I'm very skeptical that Congress as it exists today has... I think there's self-confidence, which actually worries me quite a bit to regulate here. One thing that would slow the systems down is to insist on interpretability. We don't know why machine learning algorithms make the decisions or correlations or inferences or predictions that they make. And so you actually want to be able to have control of these systems to not have the regulatory hammer come down because you released one into the wild and now everybody's like full stop.

The New York Times Opinion columnist Ezra Klein has spent years talking to artificial intelligence researchers. Many of them feel the prospect of A.I. discovery is too sweet to ignore, regardless of the technology’s risks.

Today, Mr. Klein discusses the profound changes that an A.I.-powered world will create, how current business models are failing to meet the A.I. moment, and the steps government can take to achieve a positive A.I. future.

Also, radical acceptance of your phone addiction may just help your phone addiction.

On today’s episode:

Ezra Klein is a columnist at The New York Times and host of “The Ezra Klein Show.”

Additional reading:

Ezra Klein outlined the dramatic shifts that A.I. will enable.
In a 2022 survey of A.I. researchers, nearly half of the respondents said that there was a 10 percent or greater chance that the long-run effect of advanced A.I. on humanity would be “extremely bad.” This year, an A.I. researcher argued that natural selection favors A.I. over humans.
A 2017 article in The New Yorker said that, for some, the risks of artificial intelligence are outweighed by the prospect of discovery.
Meghan O’Gieblyn’s book “God, Human, Animal, Machine” explores the human experience in the age of artificial intelligence.
The White House released a Blueprint for an A.I. Bill of Rights to guide the development of A.I. technology.