The adaptation of the OODA loop to the decision-making systems processing Big Data in the area of morality

The adaptation of the OODA loop to the decision-making systems processing Big Data in the area of morality

연구 분야: Artificial Intelligence

학회: IDEAS '22: Proceedings of the 26th International Database Engineered Applications Symposium

The rapid development of autonomous systems and their presence in human life force them to make quick decisions based on Big Data. Many of these decisions involve moral judgments that are then transformed into specific actions. Side effects of the choices made by the decision systems can be dangerous, so we have to be very careful when increasing the capacity of these systems. The decisions the autonomous systems make should be as ethical as possible. This paper adapts the observe-orient-decide-act (OODA) loop to the decision-making process in the moral area. It combines the parameterization of cognitive aspects of autonomous systems with ethical standards and moral inference. Problems related to the implementation of moral inference to autonomous systems, including artificial intelligence (AI) systems, are presented. Thanks to the adaptation of the OODA loop, it is possible to make morally correct decisions and actions based on a set of ethical principles adjusted to a specific situation. The presented proposal allows for moral inference, which extends the possibilities of autonomous systems that use the inference loop, especially those processing Big Data. The decision-making system still has the possibility of a choice aimed at doing more good or less evil.