How AI could transform transportation — New report shows what cities need to know about the emerging technology

Bigger and bigger every day, artificial intelligence is quickly playing a role in the U.S. transportation landscape—and it goes far beyond driverless cars.

In this Streetsblog episode of The Brake, Hayden AI's Renee Autumn Ray talks about her recent Eno Center report, Understanding AI & Transportation, which unpacks the concept of machine learning and its many applications for cities, transit agencies, and more.

The interview examines the pitfalls of relying too heavily on artificial intelligence, and discusses how transportation leaders can best use AI "as a tool to help humans do their jobs"—from analyzing crash data, identifying interventions that can save lives, spotting and ticketing bus lane blockers, or just helping advocates illustrate what a human-centered street might look like.

Bigger and bigger every day, artificial intelligence is quickly playing a role in the U.S. transportation landscape—and it goes far beyond driverless cars.

In this Streetsblog episode of The Brake, Hayden AI's Renee Autumn Ray talks about her recent Eno Center report, Understanding AI & Transportation, which unpacks the concept of machine learning and its many applications for cities, transit agencies, and more.

The interview examines the pitfalls of relying too heavily on artificial intelligence, and discusses how transportation leaders can best use AI "as a tool to help humans do their jobs"—from analyzing crash data, identifying interventions that can save lives, spotting and ticketing bus lane blockers, or just helping advocates illustrate what a human-centered street might look like.

 

Source: Streetsblog

 

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