The world of autonomous vehicles approaches as technology evolves. Researches have been done, development has been made in several countries, car manufacturers have already marketed their semi-self-driven automobiles. Nowadays artificial intelligence is present across nearly all industries due to scientific achievements in the field of artificial neural networks, computer vision, and a multi layer neural network. Utilizing AI for developing autonomous vehicles has been an obvious choice as making decisions based on continuously flowing vast amount of information from different sensors requires fast processing. In case of industrial AI where decision making is based on video image analysing, false decisions can lead to categorizing either flawless products as faulty or wrong products as good. In case of human politics when artificial intelligence is used to determine tender winners, making the wrong call could only mean gender biased results. However in case of self-driven cars making bad decision might equal causing accidents and endangering people's lives, such as it happened to Uber. Scientists at MIT successfully developed the World's first psychopath AI, which achievement claimed the responsibility of educating non-natural minds. The aim of this article is to point out those situations and scenarios in which self-driven cars could be hijacked, misguided, captured, or even influenced to turn against other vehicles.

KEY WORDS
autonomous vehicle, hijacking, capture, cheat, candidate AI

CLASSIFICATION

JEL:

O33