Autonomous Cars Aren't As Smart as They're Cracked Up To Be (computerworld.com)

Gill Pratt, executive technical adviser at Toyota, offers a note of caution, even as more car companies start putting AI elements into their cars. Speaking in Tokyo at the announcement of a Silicon Valley AI research center that Toyota is to open in early 2016, Pratt pointed out the big shortcoming in an AI system as applied to automobile: Autonomous cars might look great in controlled tests or on pristine highways, "but soon fail when faced with tasks that human drivers find simple." From the article: Drivers, for example, can pretty much get behind the wheel of a car and drive it wherever it may be, he said. Autonomous vehicles use GPS and laser imaging sensors to figure out where they are by matching data against a complex map that goes beyond simple roads and includes details down to lane markings. The cars rely on all that data to drive, so they quickly hit problems in areas that haven't been mapped in advance. ... A truly intelligent self-driving car needs artificial intelligence that can figure out where it is even if it has no map or GPS, and manage to navigate highways and follow routes even if there are diversions or changing in lane markings, he said. I regularly drive a stretch of road that's just a few miles long, but between construction, accidents, poor marking, bicycles, and heavy traffic I'd be nervous about letting an AI system navigate. In what real-world driving scenarios would you most want humans to take over?

Comments

Re: That's nothing

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Have you seen iRobot where the robot choses to save Will Smith (the police officer) instead of the little girl because the robot calculates the little girl's probability of survival was lower? I thought that was an interesting take on decisions like this.