Shahab Saquib Sohail, Dag Oivind Madsen, Mohammad Nadeem, Erik Cambria
In IEEE Intelligent Systems, 2026
Ethical risks posed by artificial intelligence (AI) in business drive a need for comprehensive frameworks that consider technically strong but human value-centric approaches. This article proposes a novel conceptual framework grounded in three synergistic pillars: Attention, Intention, and Intervention. Attention metaphorically represents an AI system’s awareness of ethical concerns, such as bias, discrimination, and fairness. Intention emphasizes aligning AI objectives with business ethics and broader societal values from the design stage. Intervention highlights the critical role of human oversight and decision making to guide and correct AI behavior. In addition, we have demonstrated through case studies that Attention, Intention, and Intervention together can help developers, managers, and governance actors mitigate bias and foster trust. We compare the proposed triadic framework to existing ethical AI taxonomies and discuss its integration into corporate AI governance. We posit that the proposed interdisciplinary framework can serve as a guide for developing ethical AI in business