If robots aren’t everywhere yet, they’re well on their way. Robots are getting better vision, dexterity, and intelligence, so they’ll be used to do more things in more settings. And they won’t be confined to special rooms or behind barriers on the factory floor, either; they’ll be working right next to us. Consider that robots are already used for some pretty personal tasks such as:
If robots aren’t quite colleagues, they’re already more than tools
Air France Flight 447 crashed into the Atlantic in 2009. Colgan Air Flight 3407 crashed the same year in Buffalo NY. In 2013, Asiana Flight 214 crashed on approach to San Francisco Airport and a few weeks later, a UPS cargo flight crashed on approach into Birmingham, Alabama. In each case, pilots were coping with problems in their automated cockpit systems at critical points in the flight and had to fall back on manual skills to fly their aircraft. And, in each, case, the outcome was tragedy.
Automation has improved by orders of magnitude since its first serious use in WWII and flying safety has improved with it. Success, however, may have diminished one problem (pilot workload) while triggering another. Accident trends indicate that pilots may now be placing too much faith in automation at the expense of their fundamental flying skills. The effect isn’t limited to aviation, either; in an era of driverless cars, automated factories, and drones, we’re all involved with issues of how human agency best fits in with increasingly intelligent technologies.
Self-driving cars have been getting a lot of buzz lately. Residents of Florida, Nevada, and California have already seen Google’s experimental cars cruising their highways, with sensor packages on their roofs and no one inside.
If the technology works in the “real world,” driverless cars are just around the corner, right? Well, maybe. Just because the test cars are licensed to operate in three states doesn’t mean they’ll be for sale soon. Some important issues are still unresolved but the final effect may be merely to shift the driver from operator to supervisor – a typical transition in most automated systems.
The dream of driverless cars isn’t new. Concepts for automated cars and highways go back to the 1930s, and have resurfaced periodically through the 1990s.