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ISO 42001 AI Data & Model Logging Checklist

1. Governance and Compliance

Establish an AI governance framework.

Assign roles and responsibilities for AI data management.

Ensure compliance with relevant regulations and standards.

Document policies and procedures for AI data and model logging.

2. Data Management

Identify all data sources used for AI model training and evaluation.

Implement data classification and categorization protocols.

Ensure data quality checks are performed on input datasets.

Maintain an inventory of data versioning and provenance.

3. Model Management

Document all AI models developed, including architecture and algorithms used.

Record model training parameters and configurations.

Log model performance metrics and evaluation results.

Establish a process for model version control and updates.

4. Logging Practices

Define logging requirements for data inputs, model outputs, and system events.

Implement automated logging mechanisms for consistency.

Ensure logs are secure, accessible, and tamper-proof.

Set retention policies for logs in accordance with compliance requirements.

5. Monitoring and Auditing

Establish procedures for continuous monitoring of AI models in production.

Conduct regular audits of data and model logging practices.

Implement alerting mechanisms for anomalies in model performance or data integrity.

Review and update logging practices based on audit findings.

6. Training and Awareness

Provide training for staff on ISO 42001 requirements and logging procedures.

Promote awareness of the importance of data and model logging.

Conduct workshops to reinforce best practices in logging and compliance.

Ensure ongoing education on updates to AI governance and compliance standards.

7. Continuous Improvement

Establish feedback mechanisms to gather insights from logging practices.

Regularly review and refine logging processes based on new learnings.

Benchmark against industry standards and best practices for AI logging.

Foster a culture of continuous improvement within the organization’s AI initiatives.

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