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A Conversation with Noah Kenney
Michael Peres with Noah Kenney, Founder and Principal Consultant of Digital 520, about the real-world challenges of AI governance, privacy, and secure systems design. As a fractional CTO, global advisor, author of Governing Intelligence, and leader across multiple organizations focused on responsible AI, Noah brings a rare mix of technical depth, policy thinking, and economic insight to one of the most urgent issues in technology today.
In this episode, you’ll learn:
• Why Noah built a five-layer AI Governance Stack and which layer he believes the industry is dangerously overlooking
• Whether “regulation can’t keep up” is a real problem or a convenient excuse for companies that do not want oversight
• How he thinks through the tension between moving fast, protecting privacy, and building AI products responsibly
• What advising real clients taught him about AI governance that writing a book alone never could
• Why he built a career across consulting, research, education, and policy instead of staying in just one lane
• How he would design AI regulation from the ground up
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By Michael PeresMichael Peres with Noah Kenney, Founder and Principal Consultant of Digital 520, about the real-world challenges of AI governance, privacy, and secure systems design. As a fractional CTO, global advisor, author of Governing Intelligence, and leader across multiple organizations focused on responsible AI, Noah brings a rare mix of technical depth, policy thinking, and economic insight to one of the most urgent issues in technology today.
In this episode, you’ll learn:
• Why Noah built a five-layer AI Governance Stack and which layer he believes the industry is dangerously overlooking
• Whether “regulation can’t keep up” is a real problem or a convenient excuse for companies that do not want oversight
• How he thinks through the tension between moving fast, protecting privacy, and building AI products responsibly
• What advising real clients taught him about AI governance that writing a book alone never could
• Why he built a career across consulting, research, education, and policy instead of staying in just one lane
• How he would design AI regulation from the ground up