AI Ethics, Privacy & Risk Management

Practical checklists and governance patterns to manage AI privacy, model risk, explainability, and human oversight.

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AI Ethics & Safety Assessment Template

A pragmatic, step-by-step assessment template teams can use before building, buying, or deploying AI or automated decision tools. Includes clear sections, suggested questions, evidence to collect, a lightweight scoring rubric, sign-off criteria, and post-deployment monitoring guidance that organizations can adapt.

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Model Explainability & Rationale Template

A practical, reusable template to document a model's purpose, scope, inputs, outputs, data lineage, architecture, performance, known limitations and failure modes, observed biases, interpretability techniques, guardrails, monitoring and remediation plans, human-in-the-loop checkpoints, vendor and privacy notes, and audit history. Includes a completed example for a simple summarization model used in knowledge search.

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