Christopher Woolard of FCA on AI and Future of Regulation

Highlighting the results of a joint survey by FCA and BoE to assess the state of play on artificial intelligence, Mr. Woolard mentioned that the use of artificial intelligence in the firms it regulates is best described as nascent. The technology is employed largely for back-office functions, with customer-facing technology largely in the exploration stage. He also highlighted that the risks presented by artificial intelligence will be different in each of the contexts in which it is deployed. After all, the risks around algorithmic trading will be totally different from those that occur when artificial intelligence is used for credit ratings purposes or to determine the premium on an insurance product. FCA does not have one universal approach to harm across financial services because harm takes different forms in different markets and, therefore, has to be dealt with on a case-by-case basis; it will be the same with artificial intelligence too. He added, if firms are deploying artificial intelligence and machine learning, they need to ensure they have a solid understanding of the technology and the governance around it.

Next, he highlighted the growing consensus around the idea that algorithmic decision-making needs to be "explainable." For example, if a mortgage or life insurance policy is denied to a consumer, the reasons for denial need to be explained. However, the question is what should be the extent and level of explainability (to a consumer or an informed expert) and what takes precedence—the accuracy of prediction or the abilit to explain it. The challenge is that explanations are not a natural by-product of complex machine learning algorithms. It is possible to "build in" an explanation by using a more interpretable algorithm, but this may dull the predictive edge of the technology. This is why FCA has partnered with The Alan Turing Institute to explore the transparency and explainability of artificial intelligence in the financial sector, said Mr. Woolard. Through this project, FCA wants to move the debate from the high-level discussion of principles (which most now agree on) toward a better understanding of the practical challenges on the ground that machine learning presents.

With regard to collaboration, he emphasized that these innovations cannot be developed in isolation and the problems that artificial intelligence and machine learning have the potential to solve are cross-border, cross-sector, sometimes cross-agency. He also highlighted that, at an international level, FCA is leading a workstream on machine learning and artificial intelligence for IOSCO, exploring issues around trust and ethics and what a framework for financial services might look like. It is also looking inward and asking whether it can do anything differently as a regulator to ensure that it is ready for the challenges of the future. he added that, at a basic level, firms using this technology must keep one key question in mind, not just "is this legal?’"but "is this morally right?" Regulators have a range of powers and tools to tackle these issues now but, with the increasing use of technology, those tools may need to be updated for a fully digital age. "This is something we will be thinking about in our own work on the ‘Future of Regulation.'" FCA is taking a fundamental look at how it carries out conduct regulation and shapes the regulatory framework going forward, in what it calls its "Future of Regulation" project.

Related Link: Speech

Keywords: Europe, UK, Banking, Insurance, Securities, Artificial Intelligence, Machine Learning, Regtech, Future of Regulation, FCA