Are We Getting Pulled Into The Dark Age of AI ?

August 16, 2017 0

In 2013, a report from Oxford Martin’s School’s Programme on the impacts of Future Technology, states that 45% of American jobs can be taken over by computers in the next 20 years.

This will happen in 2 ways:

  1. In first stage- computers will start replacing humans in operational jobs like logistics, production and administrative support.
  2. In the second stage, with the help of AI (Artificial Intelligence) jobs in management, science and engineering will be at peril.

Look at this video to understand how an army of robots -exclude humans completely- in a  warehouse and accomplish the given tasks

Elon Musk was compelled to say “AI is the rare case where I think we need to be proactive in regulation instead of reactive, because I think by the time we are reactive in AI regulation, it’ll be too late.”

Last year Google’s DeepMind AI system ran an experiment, where it asked two DeepMind agents to compete with each other in a simulated fruit gathering experiment game.  They found that things went smoothly so long as there were enough apples to go around, but as soon as the apples began to dwindle, the two agents turned aggressive, using laser beams to knock each other out of the game to steal all the apples.

 

Watch this video of the gathering game below:

Last year, again, something weird happened.  An experimental car designed by nVidia, the chip maker, started driving on its own, without following a single instruction provided by the engineers. It taught itself how to drive, by watching humans driving, and took control entirely rejecting the instructions.

In the above instance the car seems to have developed a mysterious mind of its own thanks to an AI technology called Deep Learning.

Deep learning can help solve many unsolved and complex challenges -like diagnosing deadly diseases, making multi million trading decisions, and do countless other things to transform whole industries.

Daniel Dannet, a renowned philosopher and cognitive scientist says in his book- From Bacteria to Back and Back-  a natural part of the evolution of intelligence itself is the creation of systems capable of performing tasks their creators do not know how to do.

He goes on to say- no matter how clever a machine seems, if it can’t do better than us at explaining what it’s doing, then don’t trust it. Elon Musk’s observation, indeed cannot be ignored.

Humans need to develop a regulation and expectation framework proactively to stop accidentally being dragged into the Dark Age of AI.

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