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AI Strategy, Ethics and Governance

Plan AI adoption that delivers value responsibly: choosing use cases, building the business case, applying ethics, managing risk, setting governance and tracking regulation.

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Syllabus

AI Strategy Basics

  1. Why Strategy, Not Hype
  2. Finding Good Use Cases
  3. Prioritising with a Scoring Model
  4. Data and Capability Readiness

Business Case and Operating Model

  1. ROI, NPV and Payback
  2. Build, Buy or Partner
  3. Teams, Roles and Operating Model
  4. Change Management and Skills

Ethics Foundations

  1. Core Ethical Principles
  2. Stakeholders and Ethical Dilemmas
  3. Measuring Fairness
  4. Transparency and Explainability

Risk Management

  1. The AI Risk Register
  2. Risk Tiers for Use Cases
  3. Impact Assessments

Governance Framework

  1. AI Policy and Governance Roles
  2. Inventory and Lifecycle Gates
  3. Third-Party and Vendor Governance
  4. Documentation and Auditability

Regulation and Standards

  1. The Regulatory Landscape
  2. NIST AI RMF, ISO/IEC 42001 and OECD
  3. Compliance Operations

Operating and Monitoring

  1. AI Incident Management
  2. KPIs and Reporting to Leadership

Putting It Together

  1. Case Study: An Insurer's First 12 Months
  2. Revision: Cheat Sheet and Self-Check