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Come join AI for Good Colorado at our second Denver meeting for an honest, peer-led discussion on how local nonprofit organizations are actually navigating artificial intelligence - breakthroughs, false starts, and everything in between.

📍 Event Details
Date: Thursday, August 20, 2026
Time: 6:00 PM – 8:00 PM MDT
Location: Women’s Bean Project | 1300 W. Alameda Ave, Denver, CO
Cost: Free / RSVP Required
Extras: Light refreshments provided

Speakers / Panelists

💡 What to Expect
The heart of the evening will be a candid, moderated panel discussion covering the practical reality of bringing AI into mission-driven work. We’ll move past individual "hacks" and look at how organizations are working to build AI capabilities internally and within different Colorado communities.

Discussion Topics Include:

  • Managing guardrails, staff sentiment, and trust.
  • Understanding where and how AI can create value.
  • Balancing time savings against impact.
  • Key barriers, challenges, and learned lessons.
  • Moving beyond quick tricks toward meaningful capabilities.
  • The future of AI in mission-driven work.

Whether you want to just listen or share your own journey, you are welcome here.

🤝 Who Else Will Be in the Room?
You’ll be joining a diverse crowd of engaged peers spanning:

  • Nonprofit & social enterprise leaders
  • Local government staff & community builders
  • Tech experts, coaches, and consultants
  • Creatives, educators, and curious community members

This event welcomes all experience levels, from complete beginners (and skeptics) asking their first questions to hands-on experimenters testing new tools.

RMAI is the 501(c)(3) parent organization of RMAIIG and its subgroups, including AI for Good Colorado.

AI for Good Colorado is currently alternating our meetings between Boulder and Denver. Look for information soon about a special September meeting in Denver during Colorado Startup Week!

Related topics

Events in Denver, CO
Artificial Intelligence
Nonprofit
Professional Networking
AI Ethics
Good Government

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