9:00–10:00 AM: The State of AI: What Association Leaders Need to Know Now - Fireside Chat 


Nick Serfass,
CEO,
Richmond Technology Council

Kick off the AI Summit with a candid, big-picture conversation on where AI stands today and where it’s headed next. In this fireside chat, Nick Serfass will share insights from across the technology landscape, cutting through the hype to focus on what’s real, what’s practical, and what’s coming.

We’ll explore how AI is shaping leadership, operations, and member value, and how associations must stay relevant. This big picture session will set the stage for the tactical and strategic sessions that follow during the rest of the Summit.

 


10:00–11:45AM: From Curiosity to Capability: Building Your AI Strategy, Governance & Internal Policy


Rick Bawcum, CAE, CISSP, AAiP,
CEO / Founder,
Cimatri		 Move beyond AI curiosity and into real organizational capability. This session will guide you through building a practical AI strategy, establishing governance, and creating internal policies that support responsible, effective adoption.

 

11:45 AM – 1:15 PM: Lunch


1:15 – 2:30 PM: Rooted, Not Rushed: Making Purpose-Driven AI Decisions


Michelle Wroblewski,
Director, Industry Growth & Strategy,
Wipfli

  In a fast-moving AI landscape, it’s easy to feel pressure to act quickly. This session explores how to take a more intentional approach—grounding AI decisions in purpose, values, and organizational goals to drive meaningful, sustainable impact.

 

2:30 – 2:45 PM: Break

2:45 – 3:45 PM Avoiding the Headlines: Legal Risks, Ethical Pitfalls & Compliance Issues


Spencer Cox
Partner
Whiteford Law

Artificial intelligence, though undoubtedly a powerful new tool, comes with significant legal, ethical, and compliance risks that can quickly put your organization in the headlines for all the wrong reasons.

This session, presented by Spencer Cox, a partner at Whiteford Law specializing in antitrust, litigation, and commercial law, will equip association executives with a practical understanding of common AI-related risks. Topics include data privacy and confidentiality pitfalls when using generative AI tools, the antitrust risks of AI-driven data aggregation, and intellectual property traps in AI-generated content.

 
 

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