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Before sharing or shipping an AI-generated interface, test whether it helps people complete the intended task, works with assistive technology, presents accurate content, and handles sensitive data and security safely. The checklist below is a practical synthesis of official guidance—not a universal scoring rubric or a substitute for requirements that apply to your product and jurisdiction.
Start by testing the user’s task
Define who the interface is for, what they need to do, and what counts as success. Then complete that task using the generated UI, rather than judging it only by appearance. This task-first approach reflects NIST’s emphasis on evaluating human-AI activity in relation to human goals and outcomes; NIST’s taxonomy is not a UI-specific checklist. NIST AI Use Taxonomy
- Can a user tell what to do next from the labels and instructions?
- Are any steps missing, out of order, or needlessly complicated?
- Do controls do what their labels imply, and is it clear when an action has succeeded?
- When something goes wrong, does the error explain the problem and how to recover?
- Is information shown at the point it helps, without distracting from the task?
Test accessibility in actual use
Check the interface with a keyboard and a screen reader, not just an automated scanner. Microsoft recommends checking accessible identifiers and names, focus order, and screen-reader behavior. Its guidance also points to Accessibility Insights as an automated aid; automated checks can find some issues, but do not replace assistive-technology testing. Microsoft Learn: Security and responsible AI
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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstall- Names: Each interactive control should have a meaningful accessible name, not an unexplained icon or generic label.
- Keyboard operation: Users should be able to reach and operate controls without a pointer.
- Focus order: Focus should move in a sensible sequence that supports reading and completing the task.
- Screen-reader behavior: Check that controls, state changes, instructions, and errors are exposed understandably.
Microsoft’s AutomationProperties.AutomationId and AutomationProperties.Name recommendations apply to Windows/XAML controls. For a web interface, review the corresponding web semantics and test with tools appropriate to that platform. Use WCAG as an accessibility reference suited to the product and its conformance target. The cited WCAG 3.0 document is a draft, not a finalized conformance standard; it discusses usability testing and documenting findings and remediation.
#1 Best Overall
Fact-check interface text and website metadata
Generated text can sound confident while being inaccurate or incomplete. Check claims and instructions against reliable references, and verify names, dates, units, and other details before release. Google Search Central advises manual fact-checking of generated content and metadata. For a website, review more than the visible page copy:
- Page titles and meta descriptions
- Structured data
- Image alternative text
- Visible instructions, labels, and factual claims
Google Search Central’s guidance on generative AI content covers review of generated text and metadata; it does not make generated content accurate by default.
Rank #2
Inspect security, privacy, and authentication behavior
Review implementation details wherever the interface collects data, calls external services, or manages access. Generated code and assumptions should not be treated as authoritative: check security-sensitive APIs, dependencies, and patterns against current official documentation.
- Confirm authentication and authorization behave as intended, including what users can access.
- Check what data is collected, where it goes, and whether external calls are expected.
- Inspect error handling for accidental exposure of sensitive information or misleading success states.
- Verify dependencies, API usage, and security-critical code against current authoritative documentation.
NIST SP 800-218A supplements Secure Software Development Framework (SSDF) 1.1 with practices for generative-AI development across the software lifecycle. It is a development resource, not a ready-made UI acceptance test. NIST’s AI Risk Management Framework offers voluntary guidance for incorporating trustworthiness into AI design, development, use, and evaluation.
Rank #3
For interfaces that include authentication, NIST SP 800-63B-4 discusses usability considerations such as plain-language user instructions and error messages, legible text, and usability evaluation. Apply that guidance in the context of the standard’s authentication requirements and assurance level, rather than treating its examples as universal UI rules.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Compare alternatives consistently and retest fixes
If you are choosing between generated designs, put each through the same realistic tasks and checks. This makes the comparison more useful than an impression based on visual polish. The following comparison dimensions are a practical synthesis, not a standardized scoring system:
- Task completion and clarity
- Accessibility findings and assistive-technology behavior
- Accuracy and completeness of content
- Safe handling of data, access, external calls, and errors
Keep a review record that identifies what you tested and the conditions that matter for repeating it:
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- Tasks attempted and expected outcomes
- Environment and assistive technology used
- Observed issues and their impact on the task
- Whether each issue was fixed and retested
The W3C WCAG 3.0 draft discusses documenting review results and remediation steps. Treat the record as a practical way to make fixes verifiable, not as proof of conformance by itself. W3C WCAG 3.0 draft
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