The AI Boom is Forcing a Reckoning on Risk and Regulation
Patrick Sullivan, Vice President of Strategy & Innovation at A-LIGN
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Artificial intelligence is moving from novel feature to core infrastructure, and that shift is forcing companies, schools and regulators to confront a harder question than how to use the technology: how to govern it.
In this episode of The TechEd Podcast, Matt Kirchner talks with Patrick Sullivan, Vice President of Strategy & Innovation at A-LIGN, about the emerging rules of the AI economy. From the EU AI Act and a patchwork of state-level regulation in the U.S. to new standards like ISO 42001, Sullivan explains why AI is beginning to look less like a software feature and more like a system that carries real operational, security and compliance risk.
The conversation also gets into the practical tension leaders are facing now. How do you innovate without creating blind spots? How do you use AI to improve decisions without mishandling student data, exposing customers or introducing risk you do not fully understand? Sullivan’s argument is that done right, governance is not the brake pedal. It is the structure that allows organizations to move faster without losing control.
In this episode:
- Why AI products are starting to face the kind of scrutiny manufacturers already know well
- What the EU AI Act reveals about where regulation can quickly become burdensome
- Why adding AI without a clear value proposition is becoming an expensive mistake
- All about new ISO standards for AI
- How bias, de-identification, and prompt injection are reshaping AI risk
Watch the Full Episode on YouTube
3 Big Takeaways from this Episode:
1. AI is forcing leaders to think about products, risk, and compliance in a new way. Patrick draws a sharp distinction between how the U.S. often treats AI as software and how the EU increasingly treats AI as part of a broader product, including embedded systems like medical devices. That shift matters because it changes how organizations think about safety, conformity, and responsibility before a product ever reaches the market.
2. The AI race is producing a lot of motion, but not always much value. Many organizations are adding AI because the market expects it, not because the business case is strong. One MIT study suggests only a small share of enterprises surveyed were realizing meaningful ROI. Leaders need to ask whether the technology creates real value or simply creates new cost, risk, and complexity.
3. Good governance is not a brake on innovation; it is what makes innovation durable. Patrick’s most effective metaphor is the football field: the lines are not there to punish you, but to show where you can move fast and where you are out of bounds. That idea comes through again when he discusses ISO management systems, lifecycle thinking, investor expectations, and enterprise buyers who increasingly want proof that AI is being developed and used responsibly.
Resources in this Episode:
ISO 42001 - AI Management Systems
Other resources:
- MIT Study: The GenAI Divide: State of AI in Business 2025
- Poetry as an LLM hack
- EU Artificial Intelligence Act
- EU Digital Services Act
- Colorado SB-25: Consumer Protections for Artificial Intelligence
- Texas Responsible Artificial Intelligence Governance Act
- Legislative Council Study Committee on the Regulation of Artificial Intelligence in Wisconsin
- Gandalf AI Password Cracking Game
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