Artificial intelligence holds promise for making collaboratives more efficient - but it can also create risks around equity, transparency, and trust. This session asks: How can nonprofits and cross-sector collaboratives use AI responsibly to strengthen collaboration while centering equity? Participants will learn about practical, free AI tools that can reduce administrative burden, improve cross-partner communication, and support data-driven storytelling. At the same time, the session introduces the AI Equity Checklist, a framework to assess whether tools are fair, transparent, accessible, and inclusive of community voice. Through hands-on practice and real-world examples, attendees will explore both opportunities and challenges of using AI in collective impact work. Participants will leave with concrete tools, prompts, and strategies they can adapt immediately to ensure AI supports - not undermines - their collaborative efforts.

Learning Question: How can collaboratives use artificial intelligence tools to strengthen coordination, reduce administrative burden, and tell more powerful stories - while ensuring these tools are applied responsibly and equitably? Specifically, what practical steps can leaders take to evaluate AI for bias, accessibility, and community trust, and how can the AI Equity Checklist guide decision-making so that technology supports, rather than undermines, collective impact?