The Importance of Interpretability in AI Models

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Interpretability is important for understanding how models like GPD work
Twitter algorithm only decides which tweets to show while general purpose models can do many things
Models are already being used for predictive policing, sentencing, and strategic decisions
Decomposed account of how models reach their conclusions is necessary for transparency
Understanding why personal interactions like Bing Sydney's statement occurs is valuable

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.