A Step-by-Step Process for Building Responsible AI

Creating responsible and ethical AI tools requires ongoing attention from the earliest stages of selection through development and implementation. This work must be grounded in your institution’s unique context—your students, resources, subject matter, and capacity. Whether you work in a two-year college, four-year university, or college-access program, AI tools should be responsive to the communities you serve and aligned with your goals for student success.

This framework is a clear, seven-step process, but this is not a checklist. Responsible AI work is iterative and reflective. Each step invites you to engage with users, ask key questions, and refine your approach as you go. Here’s how it works:

Dive into the Framework

Step One

Step Two

Step Three

Step Four

Step Five

Step Six

Step Seven

Looking Ahead

AI development will not slow down. Agentic AI, for example, could further enhance a coaching chatbot’s capabilities. Combining advanced AI tools with other technology, such as augmented reality, could further provide ways to empower students and coaches. AI will also evolve in ways we can’t even predict. What we can control is our commitment to upholding principles for responsible and ethical AI development.

As you and your team move forward, we invite you to revisit this framework and its interactive steps, to share with us your feedback and lessons learned, and to suggest ways we can refine and improve it.

“As AI’s educational role expands, proactively addressing reliability and ethical concerns becomes vital, ensuring technology complements rather than replaces human relationships, and sustaining education as a fundamentally human-centered endeavor benefiting all learners.”
Let's Connect