Module 1 — Introduction to Responsible AI and AI Ethics
- What is Responsible AI?
- Why does AI Ethics matter?
- Human-centered AI
- Balancing technological benefits with ethical responsibility
- The role of human oversight in AI-driven decisions
Module 2 — Key Ethical Risks of AI
- Bias: How can bias emerge in AI models?
- Discrimination: Potential impact of AI decisions on different customer groups
- Hallucinations: Incorrect or misleading AI-generated outputs
- Explainability: Understanding and explaining AI-driven decisions
- Transparency: The importance of transparency in AI use
- Reviewing and validating AI-generated outputs
Module 3 — Ethical AI in Banking
Responsible AI principles are explored through banking-specific scenarios:
- Bias and fairness in credit decisions
- Ethical considerations in customer segmentation
- AI-assisted pricing decisions
- Discrimination risks in campaign and offer targeting
- Transparency and human oversight in AI-powered customer service
Module 4 — Case Study: “Is the AI Decision Right?”
Participants evaluate sample AI-driven decisions from ethical, commercial and customer perspectives.
For each case, participants discuss whether the decision is fair, how it could be explained to the customer, what risks it may create, and where human intervention should be required.
The exercise helps participants develop a responsible mindset for questioning and evaluating AI outputs in their everyday work.