A Discussion on Ethics, Trust and Security Governance in the Evolution of Artificial Intelligence Technology

With the rapid advancement and widespread deployment of artificial intelligence , issues related to ethics, trust, and security have become increasingly prominent, posing significant challenges to its sustainable development. This paper aims to systematically investigate these intertwined challenges by constructing a structured analytical framework encompassing three core dimensions: ethics, trust, and security.Methodologically, the study analyzes the evolutionary trajectory and application contexts of AI, and synthesizes key risk patterns and governance concerns. It examines major ethical issues, including algorithmic bias, data privacy, responsibility attribution, and value alignment, and further explores the underlying tension between technological rationality and social values.In addition, the paper proposes a multi-level trust formation mechanism based on technological reliability, institutional assurance, and public cognition, emphasizing that trust emerges from the joint interaction of technical systems and governance structures. At the security level, it highlights the complexity and cross-domain nature of AI risks, and advocates for a full life-cycle governance framework integrating risk assessment, technical auditing, and continuous supervision.The study’s key contribution lies in integrating ethical, trust, and security perspectives into a unified analytical framework, and in proposing a collaborative governance approach involving governments, enterprises, and international stakeholders.