arckit-ai-playbook

AI Playbook compliance is determined by evaluating your system's context against the 10 core principles and 6 ethical themes. The Skill reads project artifacts like PRIN, REQ, and DPIA documents to classify risk levels and produce a detailed assessment report with mandatory documentation checklists.

A UK AI Playbook risk assessment evaluates your AI system to classify it as High, Medium, or Low risk. You need this assessment before deploying AI tools in government departments to ensure responsible AI practices and identify critical compliance gaps.

Conducting a responsible AI compliance assessment involves scanning existing project artifacts and external policies. The system evaluates the chatbot against mandatory principles, generating an action plan with risk-based guidance and mandatory documentation checklists for remediation.

Yes, you can use existing project artifacts for AI compliance evaluation. The Skill scans project context for documents including PRIN, REQ, DATA, RISK, DPIA, and external policies to analyze the system and generate a comprehensive assessment report.

The main limitation of an automated AI Playbook compliance assessment is that it relies on the availability of readable project artifacts and external documents. The generated report provides risk-based guidance and documentation checklists, but human oversight is still required to execute the remediation action plan.