From Blade Runner to I, Robot, the big screens of Hollywood have predicted the rise of the machine. Automated intelligences will wait our tables and drive our cabs. They will serve us by performing menial tasks. But fact is now surpassing fiction. Automation has moved beyond the factory assembly line as computers are diagnosing illnesses, providing legal counsel, and make financial and political decisions. And if artificial intelligence really is faster, smarter and more reliable, what are we left with?

The answer is precisely that element which makes us less efficient and slower. Our humanity. But rather than being seen as a weakness, this is actually our strongest suit. It’s one we need to empower, because studies show that as the world becomes increasingly automated, computerised and digitalised, we are losing the very skills that define us as human. Just when we need them the most.

Our empathy is something that computers will always struggle to emulate. We need to celebrate what makes us different from even the smartest of the machines. While the future belongs to those who are able to navigate this increasingly digitalised world of ours, the choicest spoils will fall to those who can combine technological fluency with emotional intelligence.

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=Empathy

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=Emotional+intelligence

 

Sourced through Scoop.it from: www.weforum.org

Recent developments in GIS and analytical applications have demonstrated that predicting road conditions, and thus preventing traffic accidents and possibly even traffic in the first place, could be possible. Among other goals, Vision Zero is an initiative by cities and municipalities to reduce traffic fatalities to zero. GIS and spatial analysis could help achieve this goal.

Sourced through Scoop.it from: www.gislounge.com

It’s hard to pinpoint the dawn of AI gaming supremacy. You could choose Kasparov’s loss in chess, or Lee Sedol’s defeat at the virtual hands of AlphaGo. Another popular option would be when legendaryJeopardy! champion Ken Jennings lost to IBM’s Watson in 2011. Watson could parse the game’s clues and handle wordplay. The two-day match wasn’t close. “I for one welcome our new computer overlords,” Jennings wrote under his final answer.

 

 

Sourced through Scoop.it from: www.quantamagazine.org

Computer engineers study the mathematics of how to optimize complex systems. In one example, they face a logistics challenge known as the “travelling salesman problem:” how can a hypothetical salesperson visit every city on their route in the shortest distance?

The algorithms developed to answer these sorts of questions are useful in many situations, such as reducing the costs of and pollution from a fleet of delivery trucks. But when engineers tried to optimize traffic on the internet, they found their methods wanting. […]

Honeybees don’t study mathematics, but the demands of evolution reward those colonies that succeed in optimizing their resources. Fortunately, in the strange tale of how honeybees make the internet work, the scientists were smart enough to see that the honeybees knew better than they did.

Sourced through Scoop.it from: www.treehugger.com