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Course Outline

Grasping AI and Machine Learning Basics

  • Defining AI and its core characteristics.
  • Machine Learning as a component of AI.
  • Categories of AI: narrow, strong, generative, supervised, and unsupervised.

Practical AI Applications Across the Enterprise

  • Current presence of AI/ML in various business functions.
  • Roles in automation, decision support, customer service, and analytics.
  • Specific applications in HR, finance, operations, and compliance.

Prevalent Governance Hurdles

  • Tensions arising with Data Protection Principles.
  • Ensuring lawfulness, fairness, and transparency in automated decisions.
  • Challenges regarding accuracy, data minimization, and retention limits.

Core Elements of Information and Data Management

  • Managing information and records in AI-driven contexts.
  • The critical role of metadata and audit logs.
  • Ensuring high-quality and consistent training datasets.

Addressing Information Governance Issues

  • Creating governance controls for AI/ML workflows.
  • Integrating human oversight and model explainability.
  • Forming interdisciplinary governance teams.

Executing DPIAs for AI/ML

  • Legal mandates and objectives of DPIAs.
  • Methodologies for evaluating proposed AI/ML deployments.
  • Recording risk analyses, mitigation plans, and justifications.

Governance Frameworks and Risk Oversight

  • Survey of AI-focused governance models.
  • Perspectives from ISO, NIST, ICO, and OECD.
  • Maintaining risk registers and policy documentation.

Organizational Culture and Framework Integration

  • Fostering a culture of responsible AI utilization.
  • Aligning AI governance with cybersecurity, ethics, and ESG policies.
  • Pursuing continuous improvement and monitoring.

Recap and Future Actions

Requirements

  • A solid grasp of organizational information governance policies.
  • Proficiency with data protection or privacy regulatory standards.
  • Basic familiarity with AI or machine learning concepts is beneficial.

Target Audience

  • Information governance specialists.
  • Data protection officers and compliance managers.
  • Leaders in digital transformation or IT governance.
 7 Hours

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