Don’t accept or reject AI recommendations indiscriminately: use your intuition as a litmus test. If something doesn’t feel right, go find out why. Allow your gut feeling to trigger deeper investigation.
Teach yourself and your team to ask, “Does this explanation make sense in our context?”, rather than, “Do I like this answer?”
Intuition often manifests as hesitation or discomfort. Normalize the idea that it’s okay to question AI outputs, especially when explanations don’t feel satisfying. This avoids both blind trust and reactive dismissal.
Humans often get it right when they question AI with good cause. Encourage teams to log and analyze instances where intuitive disagreement with AI led to better decisions, and build those patterns into future system design or training. The “traffic light” model below summarizes some tactics for managing situations when humans and AI agree or disagree.
Even in the age of AI, intuitive intelligence will give us an edge and enable us to continue to add value. Leaders who know when to trust their gut, when to interrogate AI, and how to balance both intelligences – machine and human – will be better equipped to lead in a future where decision-making is based on human inputs and machine outputs.
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