On October 11, the Bank of England (BoE), the Prudential Regulation Authority (PRA), and the UK Financial Conduct Authority (FCA) (together, the Supervisory Authorities) published a discussion paper (DP5/22) on the safe and responsible adoption of artificial intelligence (AI) in financial services (Discussion Paper). The Discussion Paper forms part of the Supervisory Authorities' AI-related program of works, including the AI Public Private Forum and is being considered in light of the UK government's efforts towards regulating AI. The purpose of the Discussion Paper is to provide a platform for assessing the desirability of regulating AI technology adoption in UK financial services by safeguarding each of the Supervisory Authorities' own objectives. The BoE's objectives are to maintain financial stability and support the UK government's economic policy. The PRA focuses on the promotion of safety, soundness, and competition for services provided by PRA-authorized firms and insurance firms, while the FCA's strategic objective is to ensure market integrity, effective competition, and protection of consumers in the UK financial system. The Supervisory Authorities consider it useful to distinguish what constitutes AI by either (1) providing a more precise legal definition of what AI is (and what it is not); or (2) viewing AI as part of a wider spectrum of analytical techniques with a range of characteristics for mapping out AI.

In the discussion paper, the UK financial supervisory authorities have not provided a new legal framework or their intended future approaches for regulating the use of AI and machine learning in financial services. However, they have assessed the benefits, risks and harms related to the use of AI, and the current legal framework that applies to AI in financial services. The UK financial services regulators, the Bank of England (BoE), the Prudential Regulation Authority (PRA) and the Financial Conduct Authority (FCA) (together Supervisory Authorities) jointly published a discussion paper (DP5/22) on artificial intelligence (AI) and machine learning on 11 October 2022. The purpose of the discussion paper was to facilitate a public debate on the safe and responsible adoption of AI in UK financial services. The Supervisory Authorities have also raised discussion questions for stakeholder input, with the aim of understanding whether the current regulatory framework is sufficient to address the potential risks and harms associated with AI and how any additional intervention may support the safe and responsible adoption of AI in UK financial services.

The UK financial services regulators, the Bank of England (BoE), the Prudential Regulation Authority (PRA), and the Financial Conduct Authority (FCA) – together Supervisory Authorities – jointly published a discussion paper (DP5/22) on artificial intelligence (AI) and machine learning on 11 October 2022. The purpose of the discussion paper was to facilitate a public debate on the safe and responsible adoption of AI in UK financial services. The Supervisory Authorities have also raised discussion questions for stakeholder input, with the aim of understanding whether the current regulatory framework is sufficient to address the potential risks and harms associated with AI and how any additional intervention may support the safe and responsible adoption of AI in UK financial services. The discussion paper provides a platform for the Supervisory Authorities, experts and stakeholders to collaborate and jointly assess whether the current legal framework can adequately regulate AI technology by safeguarding each of the Supervisory Authorities' objectives while at the same time promoting innovation in UK financial services. This consultation occurs in parallel to the UK government's ongoing work in developing its own cross-sector approach to the regulation of AI technology and will therefore provide a valuable contribution to this broader policy debate.

The Financial Services AI Public Private Forum brings the UK's Financial Conduct Authority (FCA) and Bank of England (BoE) together with AI experts from financial services, tech, and academia, to assess whether additional guidance or regulation is needed to support the safe adoption of AI in financial services, per the FCA. The Forum will host a series of quarterly meetings and workshops over the next year to discuss AI uses and benefits, constraints to deployment, and potential risks. The FCA and BoE opened the Forum to membership applications in October 2019, following the publication of their report on the application of AI in UK financial services. The Forum aims to tackle AI-related risks amid rising adoption within UK financial services. We think the Forum should add more fintech members to get a better understanding of AI use in the UK and establish guidelines.

Who's involved: German re/insurer Talanx and US-headquartered automation software provider, WorkFusion. What's happening: Talanx and WorkFusion have agreed a strategic partnership. In an initial step, the software from WorkFusion is being used for automated checking and processing in the claims division at Talanx's subsidiary HDI. The software will initially be used for invoices dealing with glass breakage and motor insurance. Significance of development: Talanx has described the new software as "automation 4.0" because the artificial intelligence platform can take end-to-end decisions, known as Intelligent Process Automation.

In the financial services industry, the application of machine learning (ML) methods has the potential to improve outcomes for both businesses and consumers. In recent years, improved software and hardware as well as increasing volumes of data have accelerated the pace of ML development. The UK financial sector is beginning to take advantage of this. The promise of ML is to make financial services and markets more efficient, accessible and tailored to consumer needs. At the same time, existing risks may be amplified if governance and controls do not keep pace with technological developments.

Approximately 32 percent of existing UK jobs in financial services and insurance could be automated by robotics and artificial intelligence (AI) over the next 15 years, according to a new study by PricewaterhouseCoopers. And other industries are even more at risk. For example, 56 percent of existing transportation and storage jobs could be at risk from automation by 2030, while 46 percent of current manufacturing jobs could be automated, and 44 percent of wholesale and retail jobs are headed for automation, PwC revealed in its latest UK Economic Outlook report. Conversely, the threat of automation is lower in other sectors such as education (9 percent) and health and social work (17 percent), PwC said. Overall, up to 30 percent of existing UK jobs could be automated by 2030, which is a lower proportion than those at risk in the US (38 percent) and Germany (35 percent), but more than Japan (21 percent), the study added.