An Introduction to AI Ethics and Governance
Artificial intelligence is being deployed at speed across financial services, healthcare, hiring, and public services. In 2024, the European Union passed the AI Act, the world’s first comprehensive legal framework regulating AI systems. Organisations that fail to govern AI responsibly now face regulatory, reputational, and operational consequences.
AI systems are only as trustworthy as the structures built around them. From algorithmic bias in credit scoring to opaque decision-making in fraud detection, the risks of deploying AI without proper oversight are real and growing.
There is a clear need for professionals across finance, technology, risk, and compliance to understand how to govern AI responsibly. What are the ethical risks? What principles should guide responsible AI? How do organisations build the controls needed to deploy AI with confidence?
This short course gives you the foundation to understand AI ethics and governance in practice. It covers key ethical risks, the principles of responsible AI, governance frameworks, and the regulatory landscape shaping responsible AI adoption.
Over 85% of AI projects are delayed or blocked due to concerns around trust, ethics, and governance.
Learn about AI Ethics and Governance in under 60 mins
With this online course, you will:
- Understand the key ethical risks associated with AI systems, including bias, transparency, and accountability
- Learn the core principles of responsible AI and how they apply in organisational contexts
- Explore how organisations govern AI through structures, policies, and oversight
- Build a practical understanding of how to support trustworthy and responsible AI adoption
The expert you’ll be learning from
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