A recent benchmark evaluates leading AI language models against 100 ethical scenarios, ranging from data misuse in sales to protocol violations in oncology. This analysis reveals significant variations in how these models approach ethical dilemmas, prompting a critical examination of the underlying ethical frameworks they embody. The central question arises: who determines the ethical boundaries for AI, and which moral principles are prioritized? As AI continues to evolve, understanding these discrepancies is crucial for stakeholders in various industries, including logistics, HR, IT, and marketing. A balanced assessment of the opportunities and risks presented by these divergent ethical perspectives is essential for informed decision-making in the deployment of AI technologies.