Franken-algorithms: the deadly consequences of unpredictable code
By Andrew Smith,
The Guardian
| 08. 30. 2018
The 18th of March 2018, was the day tech insiders had been dreading. That night, a new moon added almost no light to a poorly lit four-lane road in Tempe, Arizona, as a specially adapted Uber Volvo XC90 detected an object ahead. Part of the modern gold rush to develop self-driving vehicles, the SUV had been driving autonomously, with no input from its human backup driver, for 19 minutes. An array of radar and light-emitting lidar sensors allowed onboard algorithms to calculate that, given their host vehicle’s steady speed of 43mph, the object was six seconds away – assuming it remained stationary. But objects in roads seldom remain stationary, so more algorithms crawled a database of recognizable mechanical and biological entities, searching for a fit from which this one’s likely behavior could be inferred.
At first the computer drew a blank; seconds later, it decided it was dealing with another car, expecting it to drive away and require no special action. Only at the last second was a clear identification found – a woman with a bike, shopping bags...
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The Center for Genetics and Society is delighted to recommend the current edition of GMWatch Review – Number 589. UK-based GMWatch, a long-standing ally, was founded in 1998 by Jonathan Matthews as an independent organization seeking to counter the enormous corporate political power and propaganda of the GMO industry and its supporters. Matthews and Claire Robinson are its directors and managing editors.
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