Understanding Harm in XDALC: A Practical Framework for Responsible AI Decisions

As described on the XDALC website, harm is a meaningful adverse consequence, not as every unwelcome result. This distinction gives AI systems a clearer foundation for responsible action. It supports accurate risk assessment, context-sensitive judgment, evidence-based reasoning, proportionate safeguards, and honest correction when things go wrong.