Instead of having AI in a self-driving car decide whether to kill its driver or pedestrians, the Washington Post reports there’s a new philosophy gaining traction: Why not stop cars from getting in life-or-death situations in the first place? (Alternate URL):
After all, the whole point of automated cars is to create road conditions where vehicles are more aware than humans are, and thus better at predicting and preventing accidents. That might avoid some of the rare occurrences where human life hangs in the balance of a split-second decision… The best way to kill or injure people probably isn’t a decision you’d like to leave up to your car, or the company manufacturing it, anytime soon. That’s the thinking now about advanced AI: It’s supposed to prevent the scenarios that lead to crashes, making the choice of who’s to die one that the AI should never have to face.
Humans get distracted by texting, while cars don’t care what your friends have to say. Humans might miss objects obscured by their vehicle’s blind spot. Lidar can pick those things up, and 360 cameras should work even if your eyes get tired. Radar can bounce around from one vehicle to the next, and might spot a car decelerating up ahead faster than a human can… [Serial entrepreneur Barry] Lunn is the founder and CEO of Provizio, an accident-prevention technology company. Provizio’s secret sauce is a “five-dimensional” vision system made up of high-end radar, lidar and camera imaging. The company builds an Intel vision processor and Nvidia graphics processor directly onto its in-house radar sensor, enabling cars to run machine-learning algorithms directly on the radar sensor. The result is a stack of perception technology that sees farther and wider, and processes road data faster than traditional autonomy tech, Lunn says. Swift predictive analytics gives vehicles and drivers more time to react to other cars.
The founder has worked in vision technology for nearly a decade and has previously worked with NASA, General Motors and Boeing under the radar company Arralis, which Lunn sold in 2017. The start-up is in talks with big automakers, and its vision has a strong team of trailblazers behind it, including Scott Thayer and Jeff Mishler, developers of early versions of autonomous tech for Google’s Waymo and Uber… Lunn thinks the auto industry prematurely pushed autonomy as a solution, long before it was safe or practical to remove human drivers from the equation. He says AI decision-making will play a pivotal role in the future of auto safety, but only after it has been shown to reduce the issues that lead to crashes. The goal is the get the tech inside passenger cars so that the system can learn from human drivers, and understand how they make decisions before allowing the AI to decide what happens in specified instances.
Read more of this story at Slashdot.