Staff Activity – AI Vendor Vetting Workshop

Teams analyze mock vendor proposals for AI tools such as tutors or grading assistants. Each group reviews privacy terms, alignment, and use cases, then evaluates the proposal using a rubric to recommend approval, revision, or rejection.

Objectives:

Identify criteria for ethical and effective vendor selection.
Apply vetting processes collaboratively.
Discuss implications for instruction, equity, and privacy.
Establish a shared decision-making language.

Simplified Rubric Summary:

Privacy & Compliance: Is it fully FERPA/COPPA compliant and secure?
Educational Alignment: Does it support curriculum and equity goals?
Transparency & Ethics: Are AI functions explainable and fair?
Usability & Support: Is it accessible with adequate training?
Sustainability & Cost: Are pricing and contract terms clear and scalable?

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