A material AI decision can look governed and still rest on evidence that proves the wrong thing. Before approving or scaling AI, leaders should define the governance claim first, then require evidence that can legitimately support that specific claim.
AI agent's task-solving ability and judgment about whether to act are separable capabilities. Do not treat improved task-success evidence as sufficient evidence for increasing state-changing authority.
AI is not rewriting cyber risk from scratch. It is reducing the labor and time attackers need to exploit familiar weaknesses. The CIO’s job is to identify when that compression breaks a control’s coverage or response window, and fund accordingly.
AI can improve developer output without proving that the capability previously developed through that work is still being formed. The contradiction is that AI gives management better evidence that work can be removed before it gives management equivalent evidence that the capability produced through that work can be removed too.
An AI system can become easier for people to understand without making them better at recognizing when its recommendation is wrong. Do not accept explanation availability or the presence of an override mechanism as evidence that effective human oversight exists.
Giving an AI agent access to more enterprise data can remove a real constraint; but it does not, by itself, show that the agent is more ready to make or execute decisions.
