OntoMotoOS: A Value-Based Logical Safety Filter for Risk Detection (Three-Part Series)

an interdisciplinary project that introduces a value-based logical safety filter for the early detection of ethical risks in ideologies, digital communities, and AI-generated content. The framework translates core philosophical principles—Directionality, Freedom, and Universality—into a Boolean logic model inspired by Kant, Mill, Rawls, and Habermas.Part I of this series provides the theoretical and philosophical foundations for the OntoMotoOS filter. Part II demonstrates its practical application through case studies involving cultic movements, political conspiracy theories, and biased AI outputs. Part III offers a critical assessment of the model, highlighting its philosophical, cultural, and technical limitations while proposing avenues for future refinement.By integrating rigorous philosophical reasoning with operational logic, OntoMotoOS aims to contribute to applied ethics, AI safety, and content moderation by offering a transparent and actionable tool for risk detection in complex digital environments.