The paper focuses on how humans and AI systems can make coordinated commitments while preserving causal understanding. That is useful in workflows where a model’s suggestion must be decomposed, checked and governed before action.
As AI assistants become operational partners, coordination mechanisms become safety mechanisms. Teams need systems that support accountable decisions, not just plausible recommendations.