What participants learn
SozoRock AI Lab teaches practical use of current AI tools without requiring a technical background.
The curriculum is tool-neutral. Specific products may change as the technology changes.
Core learning areas
Understanding AI tools
Participants learn what current AI tools can and cannot do, why outputs can be incomplete or wrong, and how to decide when an AI tool is appropriate for a task.
Using AI in everyday work
Exercises may include writing, research, meeting preparation, planning, summarizing information, organizing material, and improving work participants already perform.
Checking information
Participants practice reviewing AI-generated information before relying on it, checking important claims, comparing sources, and recognizing uncertainty.
Privacy and sensitive information
Training explains what information should not be entered into public AI tools and how to think about confidential, personal, organizational, and regulated information.
Human judgment
Participants identify decisions where human responsibility should remain clear, especially when a task affects another person, involves sensitive information, or carries meaningful risk.
Building a useful process
Participants apply what they learn to an existing task and develop a practical AI-assisted process they can understand, review, and improve.
Program format
Training may be offered through community workshops, guided learning sessions, or cohort-based programs.
Each offering publishes its audience, schedule, delivery format, learning objectives, and any technology requirements before enrollment.
Participation is offered at no cost.
For community partners
Libraries, nonprofits, workforce organizations, educational institutions, local governments, and other community partners may host or help deliver training.
Organizations interested in hosting a workshop, referring participants, supporting technology access, or collaborating on evaluation can contact the Lab.