Interaction Mediation for Meaningful Human Control over Highly Automated Vehicles

The current advancement of technology with not only physical, but increasing cognitive functions widely coined as Artificial Intelligence (AI) leads to multiple situations where humans willingly or unwillingly accept the decisions of algorithms and Neural Network (NN) Models resulting in humans being decreasingly involved in the decision-making process. Human-machine cooperation and Human Autonomy Teaming (HAT) are an answer to this problem, joining the best of both sides into joined cognitive systems. Meaningful Human Control (MHC) is the concept of ensuring that humans have enough influence on the outcome of actions in HAT and hence stay morally responsible and legally accountable for their actions. This paper extends the concept of using an interaction mediator that facilitates the interaction between an automated and a human agent with interaction patterns to maintain MHC. The concept is applicable in almost any domain, and will be shown with the example of guiding a highly automated vehicle.