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Duration 7 hours
Course Outline
Foundations of AI and Machine Learning
- Defining AI and understanding its scope.
- Machine Learning as a specific subset of AI.
- Categorizing AI types: weak, strong, generative, supervised, and unsupervised.
Practical Application of AI Across the Organization
- Identifying current AI/ML presence in various business functions.
- Roles in automation, decision support, customer service, and analytics.
- Specific use cases in HR, finance, operations, and compliance.
Addressing Common Governance Challenges
- Potential conflicts with established Data Protection Principles.
- Ensuring lawfulness, fairness, and transparency in automated decisions.
- Managing accuracy, data minimization, and retention limits.
Information and Data Management Basics
- Applying information and records management practices to AI contexts.
- The critical role of metadata and audit trails.
- Ensuring data quality and integrity for training datasets.
Strategic Information Governance Approaches
- Developing governance controls for AI/ML pipelines.
- Implementing human oversight and enhancing explainability.
- Forming cross-functional governance teams.
Executing DPIAs for AI/ML
- Understanding the legal basis and objectives of DPIAs.
- Methodologies for assessing proposed AI/ML implementations.
- Documenting risk assessments, mitigation measures, and justifications.
Governance Frameworks and Risk Strategies
- Overview of frameworks specific to AI governance.
- Perspectives from ISO, NIST, ICO, and OECD.
- Managing risk registers and policy documentation.
Culture, Integration, and Broader Frameworks
- Fostering a culture of responsible AI adoption.
- Aligning AI governance with cybersecurity, ethics, and ESG policies.
- Pursuing continuous improvement and monitoring.
Conclusion and Future Directions
Requirements
- A solid grasp of organizational information governance policies.
- Knowledge of relevant data protection and privacy regulations.
- Basic familiarity with AI or Machine Learning concepts is advantageous.
Target Audience
- Information governance specialists.
- Data protection officers and compliance managers.
- Leads in digital transformation or IT governance.
