Adopting AI responsibly means building the policies, protocols, and accountability structures to support it. This session walks you through the ethical considerations and governance frameworks that mission-driven organizations need to have in place.
AI tools are powerful, but they come with real risks: biased outputs, privacy violations, opaque decision-making, and the potential to cause harm if used without guardrails. For mission-driven organizations, the stakes are especially high because the communities you serve are often the ones most affected when things go wrong.
This session gives your team a practical foundation for responsible AI use. We cover the core ethical principles that should guide your adoption decisions, the most common risks to watch for, and how to build governance structures that are rigorous without being paralyzing. Through real-world case studies, we examine what responsible AI use looks like in practice and what happens when it goes wrong.
You will leave with a draft AI use policy tailored to your organization, a risk assessment framework you can apply to any new tool, and clear guidelines for transparent decision-making when AI is involved. This is not about slowing down adoption. It is about building the foundation that lets you move forward with confidence.
Topics Covered in this Session
Each topic includes case studies, discussion, and practical frameworks.
No jargon without context.
We begin with the foundational ethical principles that should guide AI adoption: fairness, transparency, accountability, and privacy. Rather than abstract philosophy, we ground each principle in real scenarios that mission-driven organizations face every day, from using AI to screen grant applications to deploying chatbots that interact with vulnerable populations.
When you use AI tools, your data often leaves your organization. We walk through the most important data privacy considerations: what happens to data you share with AI providers, how to evaluate vendor privacy policies, what regulations apply to your work, and how to create data handling guidelines that protect your stakeholders without making AI tools unusable.
AI systems can reflect and amplify existing biases in ways that are difficult to detect. We explore the most common forms of bias in AI outputs, how they show up in organizational workflows, and practical strategies for catching and correcting them. Your team will practice evaluating AI outputs for fairness using a structured review process you can take back to your work.
Every organization using AI needs a clear use policy, but it does not need to be a hundred-page document. We provide a practical template and walk your team through drafting an AI use policy that covers approved tools, acceptable use cases, data handling rules, and accountability structures. You will leave with a working draft you can refine and adopt.
Good governance does not mean slow governance. We close with practical models for AI oversight that fit the reality of lean organizations: who should be involved in AI decisions, how to create review processes that are thorough but efficient, and how to build a culture of responsible experimentation where your team feels empowered to try new tools within clear boundaries.
Designed to Meet You Where You Are
Every session is interactive and tailored to your team's experience level and goals.
90 Minutes
Enough time to go deep without overwhelming. Includes case studies and guided policy drafting.
In Person or Virtual
Available on-site in Colorado or via live video for remote teams anywhere.
No Prerequisites
Built for leaders and teams who want to adopt AI responsibly. No technical background needed.
Built for Your Team
This session is designed for anyone in a mission-driven organization who wants to ensure AI is adopted ethically, with clear policies and accountability.
Ready to Get Started?
Details forthcoming in March 2026.
Reach out now to reserve your session or learn more about pricing and availability.