Returning to 3A with a systemic, evolutionary stance, we argue for artifacts as evolvable architectures (modularity, open interfaces, traceability), actors as human–AI constellations with participation and power designed in, and actions as instrumented, auditable, iterated interventions. We outline governance for learning at scale and ethical guardrails for AI-intensive systems. The chapter closes with practical principles for steering emergence—shaping futures that are innovative, accountable, and sustainable.