Legal Regulation of Artificial Intelligence and Digital Twin Decision-Making Risks in Mobile Edge Computing

Abstract

Information is the basis of decision security. In the era of big data, information is everywhere, and risks are everywhere. Information leakage incidents are frequently exposed, bringing many hidden dangers to users. While artificial intelligence brings convenience to people, it also inevitably brings crises. This paper aims to study the information security laws and regulations of users in the intelligent age and find the reasons for the leakage of user information. This paper proposes to calculate decision risk with the help of mobile edge computing technology. It builds a digital twin risk simulation model to make better risk decisions. The experimental results of this paper show that improving relevant laws and regulations can significantly reduce decision-making risks and improve decision-making efficiency by 20%.