FINTECH & INNOVATION
Introduction to AI Ethics and Governance
Understand how organisations approach AI ethics and governance, manage ethical and regulatory risks, and build the structures, principles, and controls needed for responsible AI adoption.
AI Risk Identification
Responsible AI Principles
AI Governance Frameworks
Regulatory Awareness
Ethical Decision-Making in AI
Course Lessons
Why AI Ethics and Governance Matter
This lesson introduces the growing role of artificial intelligence across industries and explains why ethical considerations and governance are becoming essential. It explores the risks that arise when AI systems are deployed without proper oversight and highlights the importance of building trustworthy AI systems.
Ethical Risks in AI Systems
This lesson examines the key ethical challenges associated with AI technologies. It explores issues such as algorithmic bias, lack of transparency, privacy concerns, and unintended consequences from automation, explaining why these risks can affect trust, fairness, and organisational accountability.
Principles of Responsible AI
This lesson introduces the core principles that guide responsible AI development and deployment. It covers concepts such as fairness, transparency, accountability, human oversight, safety, and responsible data usage, helping learners understand how these principles apply in real organisational contexts.
AI Governance and Regulation
This lesson explores how organisations establish governance structures to oversee AI systems and ensure responsible use. It also discusses the growing regulatory attention on AI and the role of compliance, internal controls, and governance frameworks in managing AI-related risks.

