Applied ethics takes the frameworks of moral philosophy — consequentialism, deontology, virtue ethics — and uses them to address concrete problems in specific domains: medical ethics, business ethics, legal ethics, and increasingly, AI ethics. It’s the bridge between abstract principle and practical decision-making. In AI development, applied ethics shows up whenever a team has to decide: should we allow this use case? How should we handle this sensitive topic? What do we owe users who are harmed by model errors? These aren’t purely technical questions, and applied ethics provides a structured way to think through them. For behavior architects, applied ethics is the everyday practice of the role — translating values into behavioral decisions and being able to articulate why those decisions are justified.