I work with regulated and mission-driven organizations on the hard parts of artificial intelligence, strategy, privacy, security, and compliance, and write about where it’s all going.
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Noah M. Kenney is a consultant, researcher, and author working at the intersection of artificial intelligence, privacy, security, and digital transformation. He advises organizations across industry, academia, and government on systems that hold up under scrutiny, from board-level strategy through technical implementation.
He co-developed and co-teaches the nation’s first course in AI Privacy Engineering at Georgia Tech, authored the 488-page open-access textbook Governing Intelligence, and publishes original research on AI governance and data protection policy. His commentary appears regularly in Computerworld, The Register, TechTarget, Business Insider, and on broadcast television.
He has advised more than 60 organizations, holds over 45 professional certifications across privacy, security, and artificial intelligence, and has delivered systems serving millions of end users. His work is cited by regulators, taught in university classrooms, and used by the teams accountable for AI in production.
Engagements are delivered across boardroom strategy, hands-on implementation, and the governance structures that make systems durable.
Explore services ⟶Define where AI creates enterprise value, which systems to prioritize, and how to move from experimentation to scalable adoption.
Learn more⟶Translate legal and ethical requirements into practical controls, workflows, and structures that teams will actually implement.
Learn more⟶Senior leadership across product, infrastructure, and modernization, where organizations need strategic depth with execution oversight.
Learn more⟶Academic papers, applied analyses, and strategic frameworks covering AI governance, privacy, cybersecurity, and emerging technology policy.
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What happens when the systems we trust get it wrong — and what the people closest to the failure learned. A hardcover companion to the governance work, written for operators, regulators, and anyone accountable for a model in production.
A 488-page open-access textbook covering the legal, technical, and organizational foundations of AI governance, written for practitioners who have to build and defend real programs.
Used in university classrooms and by teams accountable for AI in production. Free to read and cite.
Keynotes for boards and executive teams, lectures inside university programs, regular media commentary, and a podcast that ranks among the top in its category.
Book a keynote ⟶Industry keynote on the trajectory of artificial intelligence, emerging risks, and policy horizons.
Co-developed the country’s first AI Privacy Engineering course at the Georgia Institute of Technology.
Building the Future with AI and The Noah Kenney Podcast — for builders, regulators, and operators of AI systems.
On how routinely published records become re-identifiable once joined with commercial data, and what election offices can do about it.
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