Christopher Lake is a senior AI advisor and governance specialist who works with boards and executive teams to deploy artificial intelligence responsibly in high-consequence, regulated, and trust-dependent environments. He serves as Chief AI Strategy Officer and advises organizations on how to integrate AI without undermining accountability, professional judgment, or credibility.

Chris has worked with AI and decision-support systems since the 1980s, beginning with early object-recognition research at the University of South Florida (BS, MS) and continuing through large-scale enterprise and industrial systems at Motorola and IBM. He later built information-security and decision-support capabilities at SRI Registrar, an ISO/IEC 17021–accredited certification body, giving him direct experience at the intersection of technology, conformity assessment, and regulated assurance.

His advisory work today focuses on AI governance, risk classification, human-in/on-the-loop operating models, and board-level AI policy. He is known for helping leaders distinguish between appropriate AI decision support and unsafe automation, particularly in contexts where outcomes must be precise, defensible, and explainable. His approach emphasizes bounded agency, parallel validation, clear RACI accountability, and fallback capability as essential elements of credible AI deployment.

Chris holds an MBA from Duke University’s Fuqua School of Business and is a graduate of the Chief AI Officer (CAIO) program at the University of Chicago Booth School of Business. He is frequently engaged by boards, scheme owners, and senior executives seeking practical guidance on AI adoption that balances innovation with governance, regulatory alignment, and long-term trust.