Data & AI · AI01
Responsible AI and Model Governance for Investment Firms
A practical introduction to AI use cases, data risk, human oversight, model governance and third-party AI controls across investment firms.
Designed for practical application.
A practical introduction to AI use cases, data risk, human oversight, model governance and third-party AI controls across investment firms.
What you will be able to do
- Identify AI opportunities and material risks in fund workflows.
- Apply proportionate governance and human oversight.
- Evaluate third-party tools, data and model limitations.
Course structure
01
AI across the investment lifecycle
02
Data, privacy and confidentiality
03
Bias, explainability and validation
04
Human oversight and accountability
05
Third-party AI due diligence
06
Monitoring, incidents and governance
Assessment and evidence
ASSESSMENT
Use-case assessment; proposed pass mark 70%.
LEARNING EVIDENCE
Completion record and certificate.
AI01
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