AI Governance: Board Questions and Decision Priorities
A concise briefing on governance, accountability, and the questions that materially change risk exposure and decision quality.

BOARD & EXECUTIVE ADVISOR ON AI, QUANTUM TECHNOLOGIES & FRONTIER RISK
Dr. Miri Kenig (ד״ר מירי קניג)
Dr. Miri Kenig advises boards, executives, and investors on AI, quantum technologies, and frontier-tech risk — translating deep technical complexity into clear strategic judgment.
The challenge is no longer access to information. It is the quality of judgment.
In fast-moving fields such as AI and quantum technologies, leadership requires more than updates. It requires the ability to distinguish signal from noise, assess real exposure, and translate complexity into strategic clarity.
I work with boards, executive teams, and investors facing consequential decisions in AI, quantum technologies, and emerging-technology risk.
My role is to help leadership determine what matters now, what can wait, where real exposure lies, and how to respond with clarity.
A concise briefing on governance, accountability, and the questions that materially change risk exposure and decision quality.
How to assess exposure, distinguish signal from noise, and build a pragmatic readiness plan under uncertainty.
A practical lens for leaders and investors to evaluate technological substance, constraints, and credible timelines.
A concise note for leadership teams on governance, accountability, and the questions that materially change risk exposure and decision quality in AI adoption.
How to evaluate frontier-tech claims under uncertainty: separating substance from narrative, identifying real constraints, and avoiding costly false positives.
A concise briefing on what matters now in quantum risk and readiness — how to separate signal from noise, assess exposure, and sequence no-regret decisions for leadership teams.
Grounded in advanced research at the intersection of physics, AI, and complex systems, my work helps organizations assess technological substance, navigate uncertainty, and make high-stakes decisions rooted in reality rather than speculation.