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Course Outline
Foundations of AI and Machine Learning
- Defining AI and its core characteristics.
- Machine Learning as a component of AI.
- Classifying AI types: weak, strong, generative, supervised, and unsupervised.
AI Applications Across the Organisation
- Mapping current AI/ML presence within business functions.
- Roles in automation, decision support, customer service, and analytics.
- Specific use cases in HR, finance, operations, and compliance.
Prevalent Governance Challenges
- Potential conflicts with Data Protection Principles.
- Ensuring lawfulness, fairness, and transparency in automated decision-making.
- Managing accuracy, data minimisation, and storage limitations.
Information and Data Management Fundamentals
- Information and records management in AI-driven contexts.
- The critical role of metadata and audit trails.
- Preserving data quality and integrity for training datasets.
Addressing Information Governance Issues
- Developing governance controls for AI/ML pipelines.
- Implementing human oversight and explainability.
- Forming cross-functional governance teams.
Performing DPIAs for AI/ML
- Understanding the legal mandates and objectives of DPIAs.
- Procedures for evaluating proposed AI/ML implementations.
- Documenting risk assessments, mitigation measures, and justifications.
Governance Frameworks and Risk Management
- Surveying AI-specific governance frameworks.
- Examining ISO, NIST, ICO, and OECD methodologies.
- Maintaining risk registers and policy documentation.
Culture, Integration, and Allied Frameworks
- Cultivating a culture of responsible AI utilisation.
- Aligning AI governance with cybersecurity, ethics, and ESG policies.
- Pursuing continuous improvement and monitoring.
Conclusion and Future Directions
Requirements
- A solid understanding of organisational information governance policies.
- Familiarity with data protection or privacy regulatory landscapes.
- Basic exposure to AI or machine learning concepts is advantageous.
Target Audience
- Information governance professionals.
- Data protection officers and compliance managers.
- Digital transformation and IT governance leaders.
7 Hours
