AI Risk Assessment

A risk and governance manager preparing an AI system for deployment, board review, vendor approval, or regulatory filing — who needs a structured, actionable risk assessment that legal, compliance, and engineering teams can move on immediately.

- System overview: plain-language description a board member or regulator can understand

- Risk identification matrix across six categories: bias, privacy, reliability, security, transparency, regulatory

- Severity and likelihood ratings (High/Medium/Low) with one-sentence justification per risk

- Mitigation recommendations naming the control, owner, and implementation timeline

- Regulatory alignment: mapping to EU AI Act, NIST AI RMF, or sector-specific guidance

- Residual risk summary with explicit go/no-go recommendation

- Direct, precise language — no softening qualifiers, decision-ready findings

Paste the prompt into ChatGPT, Claude, or any AI model. Answer five questions about the system, its decision scope, data inputs, timeline, and existing governance infrastructure. Get a 1,000–1,400 word AI Risk Assessment document.

Bundles or prompts related to AI governance and regulatory compliance.