Unraveling What is at Stake in the Intelligence of Autonomous Cars

The integration of physical and cybernetic systems introduces new functionalities that modify the configuration of autonomous driving vehicles. The vehicle's driving behavior is subject to respond differently than the driver expects, causing accidents. Innovation in cybernetic systems is based on still immature information. To achieve socially responsible innovation, it is necessary to dispel the uncertainties of the black box of new technologies. We use an argumentative method to show that there is a pattern, a unique structure, that appears repeatedly in the cognitive linguistic process of both human beings and intelligent systems. From this, we aim not only show that this pattern guarantees coherence to the decision-making performed by cognitive computing, but also that it reveals what is at stake in the intelligence of autonomous cars and in the biases of the black box of AI. Therefore, by clarifying the dynamic of the unique cognitive linguistic process, as a common process for individuals and machines, it is possible to manage the interpretive activity of cyber-physical systems and the way they decide, providing safe and sustainable autonomous cars.