The integration of artificial intelligence (AI) into business intelligence (BI) systems has revolutionized how organizations derive insights from data, particularly through personalization capabilities that tailor information to specific user roles and contexts. However, this technological advancement creates tension between algorithmic sophistication and ethical responsibility. This article explores the foundations of AI-driven personalization in BI, examines algorithm development for tailored business insights, investigates ethical dimensions, including fairness, transparency, and privacy, and proposes governance models for responsible AI implementation. By balancing innovation with ethical considerations, organizations can enhance decision-making effectiveness while maintaining alignment with organizational values and regulatory requirements. A comprehensive framework is presented that combines technical capabilities with governance structures to guide the development of personalized BI systems that empower users across organizational hierarchies while ensuring fairness, transparency, accountability, and shared understanding.
Keywords: algorithmic fairness, decision-making frameworks, ethical AI governance, personalized business intelligence, privacy-preserving personalization
