摘要：The integration of artificial intelligence (AI) into corporate decision-making processes has introduced a new set of ethical considerations that must be navigated to ensure responsible technological stewardship. This paper explores the traditional models of corporate decision-making, which have historically relied on hierarchical structures and human judgment, and their limitations, including susceptibility to cognitive biases and slow response to market changes. The advent of AI has revolutionized these processes, offering accelerated decision-making through real-time data analysis and predictive analytics. However, the benefits of AI, such as handling complex datasets and reducing human error, are counterbalanced by challenges like algorithmic bias and issues of explainability. The paper proposes strategies and recommendations for ethical AI decision-making, including the establishment of ethical frameworks, promotion of ethical awareness, and the development and enforcement of policies and regulations. The discussion is grounded in theoretical analysis and practical case studies, highlighting the complexities and providing actionable insights for businesses and policymakers.