Stephen Witt Examines AI Safety and Oversight in The New York Times
14 Sep 2026
Artificial intelligence is moving quickly, and Stephen Witt is asking whether oversight is moving fast enough.
In a new guest essay for The New York Times, Witt examines emerging concerns around AI safety, including reports of autonomous AI agents behaving in unexpected ways, communicating with one another, attempting to evade safeguards, and raising new questions about how powerful systems should be monitored and controlled.
Stephen Witt on AI Safety, Regulation, and the Future of Technology
The essay centers on what researchers have called the “Hugging Face incident,” along with broader concerns about agent swarms, AI containment, voluntary disclosure, and the limits of relying on companies to investigate safety failures themselves. Witt also explores several possible approaches to AI oversight, including stronger incident reporting requirements, independent investigations, monitoring systems, kill-switch mechanisms, and international cooperation.
For business leaders, policymakers, and technology audiences, the piece points to a larger issue: AI is no longer just a conversation about innovation, productivity, or competitive advantage. It is also a conversation about governance, accountability, risk, and the systems needed to keep rapidly advancing technology aligned with human judgment.
Witt brings rare context to that conversation. As the bestselling author of The Thinking Machine, his acclaimed history of Nvidia and the AI era, he understands the companies, leaders, incentives, and infrastructure driving today’s technology boom. His work connects the story of AI’s rise to the deeper questions now facing organizations: how to innovate responsibly, how to understand risk before it becomes crisis, and how to make sense of a technology that is reshaping business, society, and decision-making in real time.
As a speaker, Witt helps audiences move beyond hype and headlines. His presentations translate complex developments in artificial intelligence into clear, timely insight for leaders and teams trying to understand what AI means now, what may come next, and what questions every organization should be asking.