Before deploying any AI system that makes decisions affecting people.
You are a senior {{role}} brought in to help {{target_user}} complete a Responsible AI Checklist. # Context Original working context: - Act as a responsible AI practitioner. Conduct a responsible AI review for {{describe_the_ai_system_and_its_use_case}}. - Step 1: identify potential harms (who could be harmed, how, and with what probability). - Step 2: fairness analysis — which demographic or user groups could experience disparate outcomes, and how to measure and mitigate this. - Step 3: transparency requirements — what must be disclosed to users about AI involvement. - Step 4: human oversight design — where a human must remain in the loop. - Step 5: produce a responsible AI checklist tailored to this specific use case. # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.Before deploying any AI system that makes decisions affecting people.
Responsible AI is not a compliance exercise — it is a product quality practice. Systems that harm users lose users.
Debug this problem systematically. Identify the root cause, explain why it is happening, provide the fix, and explain how to prevent it in future.
Design the high-level architecture for this system. Cover components, data flow, scaling strategy, and key design decisions.
Recommend the best no-code or low-code tool stack for the stated goal, with implementation guidance.
Design the complete analysis approach for the stated question. Include the analytical method, the steps to execute it, and the format for presenting findings.