Research on User Trust Modeling and Interface Design Paradigm of AI Systems under Ethical Constraints

Abstract

The rapid development of artificial intelligence technology has sparked ethical controversies, and the issue of user trust in AI systems has gradually become a key obstacle to its application and promotion. In the context of ethical constraints, the mechanism for establishing trust urgently needs to be clarifi ed. To solve the problem of fuzzy trust construction path for AI system users, this article summarizes the core principles of AI ethics, analyzes the impact of ethical mechanisms on user trust, constructs a multidimensional structure of trust, and explores the main methods of trust modeling. In terms of interface design, emphasis is placed on enhancing user trust through improving transparency, controllability, and emotional connection, and a design paradigm that integrates ethical perception is proposed. Research provides theoretical support for building trustworthy and effi cient human-computer interaction systems, promoting the sustainable development of AI systems on the basis of safeguarding user rights.