Lesson Introduction
Artificial intelligence is increasingly embedded in financial services, influencing decision‑making, risk assessment, customer interaction, and operational efficiency. While AI offers significant benefits, it also introduces ethical risks that can affect fairness, transparency, privacy, and accountability.
When AI systems are poorly governed, they can amplify bias, obscure decision‑making, compromise privacy, and erode trust. When governed responsibly, AI can enhance fraud detection, improve inclusion, strengthen compliance, and support better customer outcomes. The ethical challenge lies not in whether AI is used, but in how it is designed, trained, deployed, and overseen.
In this module, we examine the ethics of AI with a focus on financial services. We explore what AI is and how its key subsets operate, how AI is currently used in finance, and the ethical risks associated with bias, explainability, privacy, and automation. We also examine international ethical principles, including those developed by the OECD, and how existing conduct frameworks such as Treating Customers Fairly can be applied to AI governance.
This module is designed for professionals who need a practical understanding of AI ethics and how responsible AI use supports regulatory compliance and customer trust.
Learning Outcomes
By the end of this module, you will be able to:
- Explain what AI is and how it is used in financial services Understand key AI concepts, subsets, and current applications within the financial sector.
- Identify ethical risks associated with AI systems Recognise risks relating to bias, discrimination, lack of explainability, and automated decision‑making.
- Understand privacy and data risks in AI deployment Identify how anonymisation, data linkage, and re‑identification create ethical and regulatory concerns.
- Assess the importance of transparency and explainability Understand why opaque AI systems undermine trust and regulatory accountability.
- Apply international AI ethics principles Recognise the OECD’s principles on fairness, transparency, robustness, and accountability.
- Align AI use with existing conduct frameworks Understand how Treating Customers Fairly principles apply to AI‑driven products and services.
- Evaluate responsible AI governance practices Identify governance, oversight, and control measures that support ethical AI deployment.