Translating opaque model behavior, evaluation metrics, and risk profiles into plain-language narratives that executives, regulators, and customers can act on. I
Stakeholder communication for AI is the translation skill: explaining probabilistic systems, eval results, and risk trade-offs to executives, boards, regulators, and worried teams, building calibrated trust instead of hype or fear. Every AI initiative lives or dies on this layer.
Quietly decisive: leaders consistently cite communication, not technology, as why AI programs win or stall, and practitioners who translate credibly accelerate into transformation leadership.
Because the systems are probabilistic and the audiences polarized: overclaiming burns trust at the first error, doom-framing kills adoption. Calibrated, audience-fit translation is learnable craft, not charisma.
The one-page decision memo: situation, evidence (with uncertainty), options, recommendation. Executives fund what they can repeat to their boards.