DAIR.AI highlights a framework for deciding how much authority to give AI agents

According to DAIR.AI’s summary, the papers examined document expanded interfaces for taking action far more convincingly than robust completion, recovery, authorization or independent verification. The review keeps the model, its supporting software and its environment distinct when attributing results. DAIR.AI also says MCP and Agent2Agent improve systems’ ability to work together without establishing that delegation is trustworthy, while multi-agent setups bring specialization alongside cost and correlated failures.