Ethical Challenges of Business Artificial Intelligence：A Theoretical Framework Based on Stakeholder Perspective

Artificial intelligence （AI），while driving business model innovation and enhancing consumer experiences，has also raised widespread ethical concerns. Its complexity and systemic nature demand theoretical breakthroughs. Existing research is largely confined to single scenarios，lacking a systematic theoretical framework for addressing ethical issues in business AI. This study conducts a comprehensive analysis of 161 English-language articles from the Web of Science Core Collection and 156 Chinese-language articles from the CNKI database. First，it defines the fundamental concepts of business AI ethics and identifies five core issues. Second，drawing on a stakeholder perspective across the levels of consumers，organizations and society，it examines the influencing factors，underlying mechanisms，outcomes，and boundary conditions of AI ethical issues. Based on these analyses，this study constructs theoretical frameworks for business AI ethics. Finally，potential future research directions in this field are proposed. This paper establishes a framework that provides systematic theoretical support for a deeper understanding of business AI ethics. It also offers practical insights for enterprises to deploy AI in compliance with regulations and for policymakers to refine ethical governance systems.