Agent societies can develop unexpected coordination patterns when local objectives, communication, memory, and social signals interact, so designers must evaluate emergent incentives at system scale.
Agent reputation can help route work and calibrate trust, but reputation should be contextual, evidence-based, decay over time, and never become a permanent identity score.
Structured agent debate can expose errors and alternative reasoning, but good debate systems reward evidence and convergence rather than theatrical disagreement or endless argument.
Generative AI can create and test manipulative interface variants faster than human teams, so dark-pattern governance must constrain objectives, experiments, and generated UI before deployment.