AI “hallucinations” mitigation and methods for improving anomaly detection algorithms in infrastructure of a CN have been developed by scientists of the University of Bristol’s School of Computer Science.
Innovations in the field of AI in the recent past have also brought into focus the use of AI for detecting anomalies within the sensor and actuator data for CNIs. Nevertheless, these AI algorithms have certain problems, including long training time and a problem of identifying precise elements in an abnormal state. Further, there has been criticism due to the lack of transparent decision-making mechanisms of AI.
