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AI compliance checklist

Governance and Oversight

Establish an AI governance framework.

Assign roles and responsibilities for AI oversight.

Develop policies for ethical AI usage.

Ensure compliance with local and international AI regulations.

Data Management

Conduct a data inventory for AI projects.

Ensure data quality and accuracy.

Establish data privacy protocols.

Implement data encryption and security measures.

Algorithm Transparency

Document AI algorithms and their decision-making processes.

Ensure explainability of AI models to stakeholders.

Regularly review and update algorithms for biases.

Maintain records of training data sources and methodologies.

Risk Assessment

Conduct a risk assessment for AI deployments.

Identify potential impacts on stakeholders and society.

Develop a risk mitigation strategy.

Regularly review and update risk assessments.

Training and Awareness

Provide training for employees on AI ethics and compliance.

Develop awareness programs for stakeholders on AI implications.

Encourage a culture of responsibility in AI usage.

Regularly update training materials to reflect regulatory changes.

Monitoring and Evaluation

Implement continuous monitoring of AI systems post-deployment.

Establish metrics for evaluating AI performance and compliance.

Conduct regular audits of AI systems.

Create a feedback loop for improvements based on evaluations.

Incident Response

Develop an incident response plan for AI-related issues.

Establish protocols for reporting AI failures or breaches.

Train staff on incident response procedures.

Regularly test and update the incident response plan.

Stakeholder Engagement

Engage with stakeholders to understand their concerns.

Provide channels for feedback on AI systems.

Communicate transparently about AI usage and policies.

Foster collaboration with external organizations on AI best practices.

Documentation and Reporting

Maintain comprehensive documentation of all AI projects.

Ensure traceability of AI development processes.

Prepare regular compliance reports for stakeholders.

Review and update documentation to reflect regulatory changes.

This checklist serves as a comprehensive guide for IT organizations to ensure compliance in their AI initiatives.

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