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Course Outline
Core Concepts of AI and Machine Learning
- Defining AI and its scope.
- Machine Learning as a component of AI.
- Categories of AI: weak, strong, generative, supervised, and unsupervised.
Practical AI Applications in Business
- Current presence of AI/ML across various business functions.
- Roles in automation, decision support, customer service, and analytics.
- Specific use cases in HR, finance, operations, and compliance.
Key Governance Obstacles
- Tensions with established Data Protection Principles.
- Ensuring lawfulness, fairness, and transparency in automated decisions.
- Addressing accuracy, data minimisation, and storage constraints.
Fundamentals of Information and Data Management
- Managing information and records in AI-centric environments.
- The critical role of metadata and audit trails.
- Ensuring data quality and integrity for training datasets.
Addressing Information Governance Issues
- Establishing governance controls for AI/ML pipelines.
- Implementing human oversight and ensuring explainability.
- Forming effective cross-functional governance teams.
Performing DPIAs for AI/ML
- Legal mandates and the objective of DPIAs.
- Methodologies for assessing proposed AI/ML implementations.
- Recording risk assessments, mitigations, and justifications.
Governance Frameworks and Risk Control
- Introduction to AI-specific governance frameworks.
- Standards from ISO, NIST, ICO, and OECD.
- Maintaining risk registers and policy documentation.
Organisational Culture and Integrated Frameworks
- Fostering a culture of responsible AI utilisation.
- Aligning AI governance with cybersecurity, ethics, and ESG policies.
- Pursuing continuous improvement and ongoing monitoring.
Recap and Future Directions
Requirements
- A solid grasp of organisational information governance policies.
- Knowledge of relevant data protection or privacy regulations.
- Basic exposure to AI or machine learning concepts.
Target Audience
- Information governance specialists.
- Data Protection Officers and compliance managers.
- Leads in digital transformation or IT governance.
7 Hours
