A comprehensive ethical AI framework is essential for harmonizing the efforts of decision-makers, compliance officers, and developers. By analyzing over 60 existing frameworks from various organizations, it becomes clear that inconsistencies and differing terminologies hinder effective implementation. The need for a unified approach is emphasized, focusing on distinct concepts like "do no harm" and algorithmic explainability to ensure alignment across all levels of an organization.
