• Deborah

On 7 September 2021, the International Organization of Securities Commissions (IOSCO) published its Final Report providing guidance to its members on the regulation and supervision of the use of Artificial Intelligence (AI) and Machine Learning (ML) by market intermediaries and asset managers.


The Final Report includes the feedback received by IOSCO following its Consultation Report published in June 2020, see our summary piece here.


The guidance consists of six measures that reflect expected standards of conduct by market intermediaries and asset managers using AI and ML. The guidance indicates that Regulators should require their firms to:

  • Have designated senior management responsible for the oversight of the development, testing, deployment, monitoring and controls of AI and ML. This includes a documented internal governance framework, with clear lines of accountability.

  • Adequately test and monitor the algorithms to validate the results of an AI and ML technique on a continuous basis. The testing should be conducted in an environment that is segregated from the live environment prior to deployment to ensure that AI and ML: (a) behave as expected in stressed and unstressed market conditions; and (b) operate in a way that complies with regulatory obligations.

  • Have the adequate skills, expertise and experience to develop, test, deploy, monitor and oversee the controls over the AI and ML that the firm utilises. Compliance and risk management functions should be able to understand and challenge the algorithms that are produced and conduct due diligence on any third-party provider.

  • Understand their reliance and manage their relationship with third-party providers, including monitoring their performance and conducting oversight. To ensure adequate accountability, firms should have a clear service level agreement and contract in place clarifying the scope of the outsourced functions and the responsibility of the service provider. This agreement should contain clear performance indicators and should also clearly determine rights and remedies for poor performance.

  • Disclose information regarding their use of AI and ML, including: (a) Regulators should consider requiring firms to disclose meaningful information to customers and clients around their use of AI and ML that impact client outcomes. (b) Regulators should consider what type of information they may require from firms using AI and ML to ensure they can have appropriate oversight of those firms.

  • Have appropriate controls in place to ensure that the data that the performance of the AI and ML is dependent on is of sufficient quality to prevent biases and sufficiently broad for a well-founded application of AI and ML.

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