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AI systems inventory

1. Identification of AI Systems

Compile a list of all AI systems currently in use within the organization.

Identify the purpose and function of each AI system.

Document the departments or teams utilizing each AI system.

Note the stakeholders responsible for each AI system.

2. Data Sources and Inputs

Identify the data sources utilized by each AI system.

Document the type and volume of data processed by the AI systems.

Assess data quality and relevance for each AI system.

Ensure compliance with data privacy regulations (e.g., GDPR, CCPA).

3. Model Governance and Documentation

Document the algorithms and models used by each AI system.

Maintain records of model training processes and datasets employed.

Ensure version control for all AI models and systems.

Establish standards for model evaluation and performance metrics.

4. Compliance and Ethical Considerations

Evaluate compliance with industry regulations and standards.

Assess ethical implications of AI systems, including bias and fairness.

Document frameworks and policies for responsible AI use.

Identify any legal considerations related to AI deployment.

5. Security and Risk Management

Conduct a risk assessment for each AI system.

Identify potential vulnerabilities and threats to AI systems.

Document security measures in place to protect AI systems and data.

Establish an incident response plan for AI-related security breaches.

6. Maintenance and Monitoring

Set up regular monitoring and evaluation processes for AI systems.

Document maintenance schedules and update requirements.

Establish a feedback loop for continuous improvement of AI systems.

Identify key performance indicators (KPIs) for ongoing assessment.

7. Training and Skill Development

Assess the skill levels of employees interacting with AI systems.

Identify training needs for technical and non-technical staff.

Develop a training program to enhance AI literacy across the organization.

Promote awareness of AI capabilities and limitations among staff.

8. Future Planning and Scalability

Evaluate the scalability of existing AI systems for future needs.

Identify potential areas for AI expansion within the organization.

Document strategic goals for AI adoption and integration.

Establish a roadmap for future AI projects and initiatives.

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