Module 5 - Overview

This module addresses the critical ethical, legal, and risk management aspects of AI implementation. You'll learn to identify potential risks and implement frameworks for responsible AI deployment.

Lessons

Lesson 1: Understanding AI Ethics

• Core principles of ethical AI
• Fairness, accountability, and transparency
• Bias detection and mitigation
• The importance of human oversight
• Discussion: Ethical Dilemmas in AI Implementation

Lesson 2: AI Governance Frameworks

• Elements of effective AI governance
• Roles and responsibilities
• Decision-making frameworks
• Documentation and transparency requirements
• Template: AI Governance Framework

Lesson 3: Regulatory Landscape for AI

• Current and emerging regulations
• Industry-specific compliance requirements
• Global perspectives on AI regulation
• Preparing for regulatory changes
• Resource: AI Regulatory Tracker

Lesson 4: Risk Management for AI Systems

• AI-specific risk categories
• Risk assessment methodologies
• Mitigation and management strategies
• Ongoing monitoring approaches
• Exercise: AI Risk Register Development

Lesson 5: Building Trust in AI Systems

• Explainability and interpretability techniques
• Communicating about AI to stakeholders
• Managing expectations and concerns
• Building confidence in AI systems
• Case Study: Transparent AI at Progressive Insurance

Module Resources

• AI Ethics Checklist
• Risk Assessment Template for AI Projects
• AI Documentation Guide
• Stakeholder Communication Templates