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AI alignment needs operational governance
AI may be surrounded by hype. That doesn’t mean the technology itself is overhyped.
By Phil Kinsley
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AI may be surrounded by hype. That doesn’t mean the technology itself is overhyped.
I watched Barack Obama talking about AI today from his speech at Colgate University, and one part of his comments stood out to me. It wasn’t the discussion about killer robots or machines becoming smarter than humans. It was the much simpler issue of alignment.
As AI systems become more autonomous, the risk is increasingly about whether the outcome the system is pursuing is actually the outcome the organization intended.
That feels much closer to the conversations I’m having with customers today.
We’re giving AI access to enterprise data, applications and business processes, and increasingly allowing agents to take actions rather than simply return answers. As that happens, the questions become much more practical.
What can the agent access? What can it do? Who authorized it? What identity is it operating under? What data can it use? How are those permissions reviewed over time? And what happens when the system behaves exactly as designed but produces an outcome nobody expected?
For me, that’s where AI governance has to become operational. It can’t just be a policy document sitting next to the acceptable-use policy. It needs to become part of how identities, permissions, data, agents and actions are actually managed.
The technology is moving quickly. Our controls and operating models need to move with it.
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