The Greek Guru of Artificial Intelligence Predicts Our Future

The Greek Guru of Artificial Intelligence Predicts Our Future

Dr. Constantinos Daskalakis, the Greek MIT professor who solved the puzzle of the Nash Equilibria, said that one of the main concerns of humanity is the credibility of technology.

Speaking in a packed auditorium at the Aristotle University of Thessaloniki last week, the Greek genius mesmerised the audience with his theories on Artificial Intelligence and its importance on the future of mankind.

According to Dr. Daskalakis, today one of the main concerns of humanity is the credibility of technology. Speaking on Artificial Intelligence, he said that, “There are big issues of reliability and one of the reasons is that when the data you feed the algorithm are incomplete or unrepresentative, can lead to faulty or insufficient mental functions. For example, why did a (driver-less) Tesla car smash into a truck stopped in the left lane? Maybe because the data that was entered to train the algorithm did not include the possibility that a car has stalled in the left lane of the highway because this is rarely happening. The algorithm will process the incomplete data we have given it and incorporate this shortage.” He added that MIT students “attacked” the best image recognition algorithm available and made it “think” that a three-dimensional turtle printed on a 3D printer was a shotgun. “We do not have such credible Artificial Intelligence today, we are trying to create ways to protect algorithms from such attacks,” he said.

Another issue that man has to deal with in developing Artificial Intelligence is the moral dilemmas. “A classic problem is this: Think of making self-guided cars driving in city streets. Inevitably, one of them will find itself in a phase of recognizing the fact that in a few seconds an inevitable pedestrian accident will occur. Then the car understands that it faces two possibilities: to go straight and kill the pedestrians or go left, hit the barrier and kill the passengers.

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