Ethical AI: Towards Defining a Collective Evaluation Framework

The paper proposes a modular ethical assessment framework for AI, built on interpretable ontological blocks that encode principles like fairness and accountability, aiming to enhance transparency and compliance with regulations such as the EU AI Act. This approach facilitates scalable, explainable, and auditable AI ethics, demonstrated through a real-world AI-powered investor profiling use case, though challenges in automation and probabilistic reasoning remain.