LockwoodConsulting

Interactive Tools and Analytics

Ethical AI Readiness Audit

A local-browser planning prototype for structured organizational reflection.

Interactive planning prototype

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Ethical AI Readiness Audit

Use this self-assessment to organize an internal discussion. It is not a legal, regulatory, clinical, or compliance determination, and it does not create professional-association endorsement.

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Organization profile

Use these fields on the report and exports. They stay on this device unless you export them.

Privacy and governance—
Document the agreements, data flows, storage, retention, and deletion expectations relevant to this AI use. Critical item

Document the organization’s review and contractual requirements before using sensitive information with an AI system.

Review available vendor documentation on data protection and security practices. Critical item

Request current documentation and have appropriate organizational reviewers assess it in context.

Clarify whether and how organizational, client, or student data may be used to improve an AI system. Critical item

Seek written clarification and establish a documented decision about data use and opt-out options.

Bias and fairness—
Maintain a plan to review potentially biased, unsafe, or inequitable AI outputs. Critical item

Define review points, affected groups, escalation steps, and corrective actions appropriate to the use case.

Consider limitations, intended use, and fit with the populations affected by the system.

Document known limitations and engage relevant end users or stakeholders in review.

Transparency and documentation—
Provide clear notice about material AI use and consider alternatives where appropriate. Critical item

Use plain-language communications and establish a review process for notices and alternatives.

Document the AI system, version, purpose, and human review where it affects consequential work.

Adopt a proportionate documentation standard and review it with accountable professionals.

Professional oversight and accountability—
Use a meaningful human review process for consequential AI-assisted interpretations, recommendations, or decisions. Critical item

Define reviewers, decision rights, escalation paths, and accountability before use.

Define ownership, override practices, and professional competencies for AI use.

Assign accountable roles and record material overrides or concerns as appropriate.

Training and continuous improvement—
Provide role-appropriate training on AI use, privacy, limitations, and professional responsibilities.

Build training into implementation and retain evidence of completion where appropriate.

Set a cadence for review, corrective action, and reassessment when systems or contexts change.

Schedule a proportionate review cycle and track decisions and follow-up actions.

When you are ready, generate a report or save a local copy of this audit.