The AMF sets out expectations for sound and prudent management practices and sound commercial practices related to the use of artificial intelligence. With this Guideline, the AMF wishes to protect consumers while providing financial institutions with the clarity needed to innovate with confidence.
Scope
Artificial intelligence systems (AISs) rely primarily on models. The expectations presented in this guideline therefore supplement those set out in the Model Risk Management Guideline.
It is important to clarify that the expectations in this guideline apply to any use of AISs by the institution, whether such use relates or does not relate to the handling of client records.
What is an AIS
An AIS is a “machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. Different AISs vary in their levels of autonomy and adaptiveness after deployment.Organisation for Economic Co-Operation and Development, Recommendation of the Council on Artificial Intelligence, 2024.”
Overview of AMF's expectations
- Expectations related to institution-wide governance(pdf - 319 KB)
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The AMF expects the financial institution to rigorously manage material risks associated with AIS use across the institution so that it has a holistic view of such risks.
The AMF expects the financial institution to manage AISs using a risk-based classification.
The AMF expects the financial institution to establish the governance documents needed to support the expectations for each stage of an AIS’s lifecycle.
- Sound commercial practices – Expectations related to the fair treatment of clients(pdf - 319 KB)
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Implementation
The AMF reminds financial institutions that they are responsible for adopting and appropriately implementing the principles and expectations set out in the guidelines while considering the principle of proportionality (based on the nature, size and complexity of the institution’s activities and its risk profile).