The Driverless Commute: Cities aren’t planning for AV deployment and that’s a problem; NHTSA is weighing rewrites of car and commercial vehicle rules; US lags global rivals over lack of national legislation

1. Urban (not)planning

Cities were once highly compact and walkable places that blended residences and workplaces and where people commanded primacy. But that was before the automobile.

Cities were once highly compact and walkable places that blended residences and workplaces and where people commanded primacy. But that was before the automobile.

Now, the modern American city is nothing if not an ecosystem in service of these two-ton forces of congestion. Add up all the 18-lane highways and surface streets, the sprawling blacktop parking lots and sky-high decks, and you find that more than 60 percent of some cities’ precious downtown real estate has been devoted in some way to cars.

Depending on your preferred expert, autonomous vehicles will either reverse or accelerate the very worst symptoms of car-oriented urban planning: congestion, pollution, sprawl.

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The Driverless Commute, presented by Dentons: How programmer bias will be reflected in AI platforms; a case for public investment in AV access; and Waymo, GM & Ford top new AV leaderboard

1. When an engineer’s implicit bias becomes a computer’s

Autonomous Vehicle (AV) LIDAR sensor

Can the machine learning algorithms that underpin the operation of autonomous vehicles perpetuate—or worsen, even—social, structural biases against people of color?

Maybe, according to a new paper (PDF) from the Georgia Institute of Technology, where researchers tested the accuracy of object detection systems (not unlike those used in driverless cars) in positively identifying pedestrians of varying skin colors.

Researchers paid human test subjects to review a collection of 3,500 images of people of varying skin tones and to mark each photograph with “LS” or “DS” to designate light or dark skin of the subject.

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