The AI systems we use are built on data. Data that are derived from the world we live in. As Business Analysts (BAs) working as trusted advisors towards a better world, our job is still the same in its core. We still work with people trying to understand needs and the best ways to satisfy them. However, with AI, a new dimension is added to this work: We must now also safeguard the way AI systems are trained and the way they produce outputs, so that these outputs are aligned w

Note: This article is part of a series of articles that are currently under development and internal review regarding the development of ethical AI. The goal of this series is the articulation of the Harmonia Philosophica AI Framework as a foundation for AI that adheres to the best possible ethical norms. Overview The rapid development of AI and AI agents in particular, has made the evaluation of the AI outputs necessary so as to adhere to the best ethical standards we have c