Responsible AI adoption starts with a harder question than most traditional IT governance frameworks ask: does our use of AI reflect who we are? This session builds from your organization's mission and values outward, through ethical principles, legal obligations, and the practical structures that make responsible AI use sustainable.
Your team is already using AI tools, or soon will be. Those 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. And increasingly, those risks are accompanied by legal obligations your team needs to understand.
This session gives your team a practical foundation for using AI tools and applying AI skills responsibly, starting with mission and values alignment and moving through ethical principles, bias risks, the current state and federal regulatory landscape, and practical governance structures. You will leave with a draft AI use policy, a risk assessment framework, and clear guidelines for transparent decision-making. 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, hands-on tool evaluation, and practical frameworks. No jargon without context.
Before any policy or framework, we start with the question that matters most to mission-driven organizations: does our use of AI reflect who we are? We establish a values-centered lens for evaluating AI adoption decisions against your organization's culture and commitments.
Your team will develop criteria for when AI belongs in your work and when it does not, and explore how to bring staff, leadership, and stakeholders along in a way that builds trust rather than anxiety. Values alignment is not a soft starting point. It is the most durable foundation for responsible AI adoption.
With your values as the foundation, we turn to the ethical principles that should guide AI adoption: fairness, transparency, accountability, and privacy. We ground each principle in real scenarios mission-driven organizations face every day.
From there, we examine how AI systems can reflect and amplify existing biases in ways that are difficult to detect, and give your team a structured review process for catching and correcting biased outputs before they affect the communities you serve.
AI adoption does not happen in a legal vacuum. We cover the current state of the regulatory landscape your organization needs to understand, including relevant state-level AI legislation, applicable federal guidance, and the emerging statutory and regulatory developments at both levels that are likely to affect how mission-driven organizations use AI.
We also address the data privacy questions that arise when AI tools process your information, including what happens to data shared with AI providers, how to evaluate vendor privacy policies, and how to create data handling guidelines that protect your stakeholders. Because this landscape is still shifting, we give your team a framework for monitoring changes and assessing their impact as they unfold, not just a snapshot of where things stand today.
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.
We also practice applying the policy to real tool scenarios so your team builds the skill of evaluating any new tool against your standards. 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 adopt and evaluate new tools within clear boundaries.
Governance is not a one-time exercise. It is the ongoing skill of keeping your AI use aligned with who you are. We help your team think about governance as a living practice rather than a compliance checkbox.
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 with responsibility for how AI is adopted, governed, or overseen, including those navigating the ethical, legal, and policy dimensions of responsible AI use.