How Should Public-Sector Agencies Evaluate AI Tools?
Public-sector agencies should evaluate AI tools by looking at mission fit, data risk, privacy, transparency, staff readiness, procurement requirements, accessibility, and human review before outputs are used.
Start With the Use Case
An AI tool should be evaluated against a specific task or workflow. Agencies should ask what problem the tool is supposed to solve, who will use it, what data it will handle, and what decision or product it may influence.
Key Evaluation Questions
- What data will be entered, stored, processed, or shared?
- Does the tool fit public-sector privacy, records, procurement, and security expectations?
- Can staff explain how they used the tool and review its outputs?
- What risks could occur if the tool is wrong, biased, incomplete, or misunderstood?
- What training or policies are needed before staff use the tool?
How GS Federal Can Help
GS Federal supports AI readiness from a public-sector implementation perspective: staff training, facilitated risk conversations, use-case review, workflow planning, and practical guardrails for responsible adoption.