Glossary
AI Ethics
The study and application of ethical principles — fairness, accountability, transparency, harm avoidance — to the design and deployment of AI systems.
AI ethics applies moral reasoning to the practical questions of how AI systems should be built and used: Who might be harmed by this system? Is it fair across different groups of people? What are the power dynamics it reinforces? Is it transparent about what it is and how it works? These questions don’t have purely technical answers — they require engaging with values, philosophy, and social context. For behavior architects, AI ethics is less a separate domain than a lens that should be applied throughout the design process. It shows up when writing policies, when deciding which use cases to support, when thinking about who the model serves well and who it doesn’t, and when evaluating whether behavioral tradeoffs are acceptable.