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AI and robots can be trained to perform many tasks, but systems often operate in a black box, so we don’t know how decisions are made. Here’s how one company created a transparent alternative.

The next big thing in AI may not be getting a machine to perform a task—it might be requiring the machine to communicate why it took that action. For instance, if a robot decides to take a certain route across a warehouse, or a driverless car turns left instead of right, how do we know why it made that decision?

Transparent machine learning: How to create 'clear-box' AI




“It is very clever, it can do some amazing things but it needs a lot of hand holding still. AI is almost like a toddler. They can do some pretty cool things, sometimes they can cause a fair bit of trouble,” “You don’t really know why a system made a decision. AI cannot tell you that reason today. It cannot tell you why,” “You need to have the system accountable.”

Original: Computerworld

Explainable Artificial Intelligence cracking open black box AI


Artificial intelligence has reached peak hype.
News outlets report that companies have replaced workers with IBM Watson and that algorithms are beating doctors at diagnoses. New AI startups pop up everyday, claiming to solve all your personal and business problems with machine learning.

Original: VentureBeat

Understanding the limits of deep learning




No one really knows how the most advanced algorithms do what they do. That could be a problem.

Last year, a strange self-driving car was released onto the quiet roads of Monmouth County, New Jersey. The experimental vehicle, developed by researchers at the chip maker Nvidia, didn’t look different from other autonomous cars, but it was unlike anything demonstrated by Google, Tesla, or General Motors, and it showed the rising power of artificial intelligence. The car didn’t follow a single instruction provided by an engineer or programmer. Instead, it relied entirely on an algorithm that had taught itself to drive by watching a human do it.

There’s a big problem with AI: even its creators can’t ...