Research and analysis on safety design of AI technology applied to space system

With the rapid advancement of artificial intelligence (AI) technology, AI is frequently talked about and debated in space systems. The strong interaction between AI and space systems is an exciting new field, as the autonomy of AI systems enables them to continuously monitor space debris and satellite orbits in real time, calculating the potential risk of collisions. By predicting dangerous approaching in advance, AI systems suggest or even execute maneuvers automatically to avoid collisions, ensuring the safety and longevity of satellites. This will help break through the current limitations of available resources and personnel costs, and promote new developments in the field of space exploration. However, every benefit brought by AI in space systems may have opposite risks manifested as potential attack, infiltration and compromise. Because AI systems have autonomous consciousness, the unpredictability of their behaviour can introduce uncontrollable situations to people, which in turn affects the completion of space missions. Therefore, the current problem caused by the combination of AI and space exploration is that people cannot be assured with the reliability and safety of space systems that utilize AI technology.

In response to the above problems, this paper takes AI technology in space systems as the research object. Firstly, it investigates the application progress of AI technology in space systems. And the classification of AI technology in space systems is preliminarily determined according to current mainstream research theory or standard. Considering the high-risk environment such as radiation and temperature change, the key points of safety design for AI in space systems are analysed from the data, model and system. The rough set theory based on genetic particle swarm optimization is used to reduce attributes, and the focus of safety design for AI in space systems is further optimized.

The authors hope that through the research of this paper, the level of AI technology in space systems can be clearly elucidated, providing a solution for effectively assessing the factors of safety design for AI in space systems, and strengthening the significant benefits of AI driving the development of space systems.