Prompting Possibility: Using AI to Enhance Evaluation Practice

Curious about how AI can support your evaluation work? Join us for Prompting Possibility, a hands-on, one-hour online workshop for Minnesota evaluators. Bring a project, try out AI tools, and learn how prompt architecture can help you work smarter, communicate more clearly, and reflect equity in your evaluation practice. No prior experience required—just bring your curiosity and a project to explore!

This interactive, one-hour online workshop introduces Minnesota evaluators to the practical and creative use of artificial intelligence (AI) in evaluation work. Designed for participants ranging from beginners to proficient users, the session centers on active learning and hands-on experimentation with AI prompt architecture. Attendees will bring a current evaluation project and explore how AI tools can generate honed, accessible, and functional improvements to their work—from refining language and visualizing data to drafting reports and stakeholder communications.

Grounded in a commitment to equity and antiracist practice, the workshop invites participants to consider how AI can support inclusive evaluation design and communication. Together, we’ll explore how prompt architecture can scale from basic to advanced use, and how AI can be leveraged to reduce barriers, amplify underrepresented voices, and reflect diverse stakeholder needs. The session leader will collect feedback and use AI to generate two tools that summarize collective learning—demonstrating AI’s capacity to synthesize and reflect evaluator insights. AI will be both the topic and the method, offering a dynamic and participatory experience.

By the end of this session, participants will be able to:

1. Understand the basics of AI prompt architecture and its relevance to evaluation practice.

2. Apply AI tools to a current evaluation project to explore improvements in clarity, accessibility, and functionality.

3. Evaluate the effectiveness of AI-generated outputs in supporting evaluation goals, including equity-focused outcomes.

4. Collaborate in a shared learning environment to generate collective insights using AI.

5. Reflect on ethical, inclusive, and practical considerations of integrating AI into evaluation workflows.

Ruthanne Soohee Kim is Director of the Community Antiracism Education Initiative (C.A.R.E.) at St. Cloud State University and teaches Philosophy at Minneapolis College. Her work bridges feminist philosophy, environmental ethics, and decolonial studies, with a focus on equity in education and antiracist AI. A former Chancellor’s Fellow for Academic Equity Strategy, she brings lived experience and scholarly insight to inclusive teaching and evaluation practice.

If you need any accommodations to participate, please let us know at least one week prior to the event by emailing info@mneval.org. Thank you.