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Course Outline
Comprehending AI and Machine Learning
- Defining AI and its core characteristics.
- Viewing Machine Learning as a component of AI.
- Categories of AI: weak, strong, generative, supervised, and unsupervised.
AI Application Across the Organization
- Current presence of AI/ML in various business functions.
- Roles in automation, decision support, customer service, and analytics.
- Practical applications in HR, finance, operations, and compliance.
Key Governance Challenges
- Potential conflicts with Data Protection Principles.
- Ensuring lawfulness, fairness, and transparency in automated decisions.
- Managing accuracy, data minimization, and storage constraints.
Foundations of Information and Data Management
- Managing information and records in AI-centric contexts.
- The critical role of metadata and audit trails.
- Preserving data quality and integrity for training datasets.
Addressing Information Governance Issues
- Designing governance controls for AI/ML pipelines.
- Implementing human oversight and ensuring explainability.
- Forming cross-functional governance teams.
Performing DPIAs for AI/ML
- The legal necessity and objective of DPIAs.
- Procedures for evaluating proposed AI/ML implementations.
- Recording risk assessments, mitigation strategies, and justifications.
Governance Frameworks and Risk Management
- An overview of AI-specific governance frameworks.
- Approaches from ISO, NIST, ICO, and OECD.
- Maintaining risk registers and policy documentation.
Culture, Integration, and Associated Frameworks
- Cultivating a culture of responsible AI usage.
- Connecting AI governance with cybersecurity, ethics, and ESG policies.
- Pursuing continuous improvement and monitoring.
Wrap-up and Future Steps
Requirements
- A solid understanding of organizational information governance policies.
- Familiarity with data protection or privacy regulatory landscapes.
- Prior exposure to AI or machine learning concepts is advantageous.
Target Audience
- Information governance specialists.
- Data protection officers and compliance managers.
- Digital transformation or IT governance leaders.
7 Hours
