The Responsibility That Remains When AI Helps

While developing my approach to AI in leadership work, I’ve found myself returning to a question that comes before what the technology can produce: what does the person responsible for a decision need to understand before asking others to act on it?

When AI helps draft a strategy or compare options, the document may become clearer before the choice has actually been examined. A leader can agree with the conclusion without having considered the assumptions beneath it or the consequences for people expected to act on it.

That is why I begin with the choice and what remains uncertain about it. From there, I consider how AI might help bring relevant evidence together, make competing explanations easier to examine and keep contradictions visible. I am less interested in how quickly it can close the question than in whether it helps the leader recognize what still needs thought.

Karl Popper’s work on falsification has influenced that approach. He argued that scientific theories need tests that could show them to be wrong, not simply observations that appear to support them. In leadership work, I find that useful for examining the assumptions a choice depends on and what evidence would give us reason to reconsider it.

I don’t think human authorship means generating every idea or writing every word. It means engaging with the reasoning well enough to explain why we are making this choice, what remains uncertain and whose work or circumstances it will change. Assistance can be valuable without becoming a substitute for that responsibility.

There is also a danger in asking AI to challenge a decision and treating the resulting critique as proof that we have examined it. The system may have supplied another perspective, but someone still has to consider the evidence and decide what, if anything, it changes. Producing a challenge and responding to one are different kinds of work.

The standard I keep coming back to is whether the person making the choice can explain the reasoning, take responsibility for its consequences and recognize when it needs reconsidering. If AI helps them do that, it is supporting leadership. If it leaves them with a better explanation of a decision they still do not understand, I am not sure we have made the progress we think we have.