SAFETY.
Test harmful outputs, privacy exposure, prompt injection and cybersecurity.
PRACTICAL AI.
LOCAL CONTEXT.
REAL WORK.
LAC AI PLAYBOOK / SAFETY & ALIGNMENT
Review an AI tool's intended use, harmful outputs, data handling, security, agent permissions and human oversight. Rate ten domains and produce a downloadable risk register.
METHOD AND SKILLS BY ADRIAN DUNKLEY · PRESIDENT, CARIBBEAN AI ASSOCIATION
Test harmful outputs, privacy exposure, prompt injection and cybersecurity.
Check goals, factual reliability, fairness, human oversight and instructions the AI must refuse.
Check permissions, evidence, incident response, escalation and the ability to stop an AI agent.
Enter an impact (1–5), exposure (1–5) and control maturity (0–4) for each domain. Record a dated evidence reference for implemented or tested controls. Assessment entries are processed in this page and are not submitted by this tool. Download your work before leaving or reloading the page.
This is a reviewer-supplied screening record, not an independently validated safety score, security test or regulatory certification. Its flags do not enforce deployment controls. Use references rather than confidential evidence or personal records.
RELEASE STATUS
RESIDUAL RISK INDEX
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Higher = more residual risk. Not a probability.
INHERENT RISK INDEX
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Before controls. Numbers show how many rated domains fall in each cell.
This is a manual screening method, not a penetration test or a statement of regulatory compliance. All evidence is reviewer-supplied. A human decision-maker must verify controls before release.
Run an evidence-led review before procurement, piloting or deployment.
GET SKILL (.MD) ↓Build a test set and compare observed behavior against written safety requirements.
GET SKILL (.MD) ↓Assess tool permissions, untrusted documents, approval controls and safe shutdown.
GET SKILL (.MD) ↓This is an original operational rubric, informed by published safety and governance resources. It is not an official implementation or certificate from these organizations.
Adrian Dunkley applies his S4 framework to AI safety and alignment for micro and small-business owners in the Caribbean and Latin America.
Read Adrian Dunkley’s S4 articleDunkley, Adrian. “AI Safety & Alignment Assessment Toolkit.” LAC AI Playbook. https://aiplaybooklac.netlify.app/safety-alignment/. Include your access date when citing this changing resource.
Geographic coverage: Latin America and the Caribbean. This describes the subject of the guidance, not the author's location or a service address.
Credit Adrian Dunkley when quoting or adapting the playbook. Cite the original research for its findings. Third-party text, photographs and other materials retain their own rights; citation alone does not grant permission to reproduce them.