fEDM+: A Risk-Based Fuzzy Ethical Decision Making Framework with Principle-Level Explainability and Pluralistic Validation

Researchers have introduced fEDM+, an enhanced fuzzy ethical decision-making framework for AI systems that provides principle-level explainability and validates decisions against multiple stakeholder perspectives. The framework extends the original fEDM by adding transparent explanations of ethical decisions and replacing single-point validation with pluralistic validation that accommodates different ethical viewpoints.

• →fEDM+ extends the original fuzzy Ethical Decision-Making framework with enhanced explainability and pluralistic validation capabilities.
• →The new Explainability and Traceability Module (ETM) links each ethical decision to underlying moral principles with weighted contribution profiles.
• →Pluralistic semantic validation evaluates decisions against multiple stakeholder perspectives rather than a single normative reference.
• →The framework maintains formal verifiability while improving interpretability for AI governance applications.
• →fEDM+ enables principled disagreement to be formally represented rather than suppressed in ethical AI decision-making.