WATCH: Applying a comms-driven model for AI governance
These clips from Ragan Training’s latest AI course explain why and how to implement an employee-first AI governance framework.
In a recent piece, Ragan CEO Diane Schwartz urged communications leaders to take the reins on setting and translating internal AI policies at their organizations.
“It’s on you to define and set boundaries around how your organization speaks when it comes to decisions, values, employees and customers.,” wrote Schwartz. “Whether you’re in an internal or an external role in comms, it’s on you to anticipate how language cascades through systems and intervene before damage is done. Every leadership message, ‘quick note’ and policy document matters more than ever.”
Schwartz makes a high-level argument for how communicators can step up their game to become stronger reputational advisors to the business by acting as stewards of best practices.
Ragan Training’s new course, “AI Governance: From Principles to Practice” furthers this value-based argument by unpacking how comms can drive AI governance. The 30-minute module teaches communicators how to analyze org-wide AI risks, design a cross-functional process for drafting language, apply risk-based framing, engage employee advocates to stress-test your governance and develop an interactive rollout strategy.
Why AI risk is really reputation risk
The course opens with an argument for why the communications function should take a central role in drafting, translating, and rolling out AI governance for teams.
When AI failures make headlines, the damage rarely stems from the tech alone. Instead, reputational fallout is most often driven by a combination of narrative, behavioral and technical risks.
When comms takes control of drafting sound governance and translating that into how employees work, they can provide employees with better context to make smarter decisions.
Applying the Green, Yellow, Red AI Use Model
As the course progresses, it becomes increasingly clear that effective AI governance doesn’t live in policy documents, but everyday decisions employees feel empowered to make responsibly.
In this clip, we introduce a practical model for AI use that helps communicators and employees alike quickly assess risk and make better decisions in real time.
This framework is effective because it translates governance principles into clear guidance employees can use with a shared language that reduces uncertainty, improves oversight, and protects trust before issues arise.
This course is open to Ragan Training members, who also enjoy on-demand access to workshops and sessions from Ragan’s AI Horizons Conference alongside recordings from other Ragan conferences and workshops, quick learning shorts and much more. Join today!
