Prediction-Early Warning-Prevention: The Value Orientation, Future Dimension, and Practical Approach of Artificial Intelligence-Enabled Safety Management

Abstract

With the development of digital technology and the appearance of many kinds of risks, safety management has moved from a reactive to a proactive mode. Many kinds of artificial intelligence have been used to improve both the accuracy and the speed of risk forecasting and early warning in recent years, so a closed-loop prevention system has begun to be built based on them. There are now problems of algorithmic bias and a crisis of trust in people and machines. Therefore, this paper puts forward a "three-dimensional collaboration" model to establish ethical norms for artificial intelligence, guarantee human control over important decisions, and promote public safety literacy education. In the future, more attention will be paid to the integration of technology, the expansion of application scenarios and governance innovation to promote intelligent and all-round upgrading of safety management.