ai-assessment-scale

The AI Assessment Scale (AIAS) is a 5-level framework used to categorize and quantify AI involvement in software development, ensuring transparency and governance across planning, implementation, testing, and reporting stages.

To measure AI involvement, apply the 5-level AIAS framework to project planning, development, testing, and documentation, then produce a structured assessment report capturing evidence of human oversight, decision points, and transparency disclosures.

Document AI usage transparency by applying the AIAS framework to capture evidence of human oversight and decision points across all development stages, generating a structured report suitable for stakeholder communications and audits.

Yes, you can assess AI risk management by applying the 5-level AIAS framework to quantify AI contributions during planning, development, testing, and documentation, justifying assigned levels with evidence of human oversight.

Yes, the AIAS framework defines a 5-level categorization ranging from no AI to full AI exploration, allowing teams to accurately map and document the spectrum of AI contributions within a software project.

You need a standardized AI transparency assessment when evaluating open-source projects, conducting audits, or communicating with stakeholders to demonstrate responsible AI engagement and justify human oversight decisions.