Five Principles of Safe Driving in AIS (Autonomous Intelligent Systems) - DataScienceCentral.com

In a recent article on Autonomous Intelligent Systems (AIS) [1], Ajit Joakar described various features and characteristics of such systems, including associated technologies and research areas, building blocks and core elements, critical factors for success, and cross-cutting enablers. He introduces AIS as an "emerging interdisciplinary field that deals with situations where humans interact with AI systems that are autonomous." From this, we see immediately the synergistic interaction between the intelligent system and its human users. While full autonomy suggests that the system can operate without human interaction, it is useful to leave open the opportunity (even the essential necessity) for human intervention, to provide mid-course corrections that keep the AIS on the right (and ethical) course. Another detailed description of AIS comes from a 2014 report on Autonomous Manufacturing [2].