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Home » The necessity for a hierarchical structure in AI for financial services
AI in Finance

The necessity for a hierarchical structure in AI for financial services

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The Urgent Need for AI Integration in UK Financial Services

Last month, British Prime Minister Sir Keir Starmer took commendable steps to invigorate the struggling UK economy by launching a government action plan aimed at spurring growth and enhancing public services.

Prioritization Lapses: Financial Services Under the Radar

While it’s promising to see vital services like the NHS and data centers in the spotlight, it is disheartening that sectors as crucial as financial services and insurance have not received the attention they deserve within this strategic framework. These sectors are among the UK’s most significant contributors to economic output, and their omission from priority discussions represents a missed opportunity.

Harnessing AI for Economic Growth

This oversight could hinder the potential of artificial intelligence (AI) to drive exponential growth in London, which ranks as the fourth largest financial services sector in OECD countries, contributing a remarkable £208.2 billion to the British economy in 2023. The recent visit by Chancellor Rachel Reeves to China, where discussions on enhancing cooperation in financial services were prioritized, further highlights this inconsistency.

The Importance of Regulation in AI Development

The government’s focus on maximizing opportunities, growth, and innovation is commendable. However, it raises concerns that “security” and regulations received insufficient emphasis in the action plan. Incorporating compliance and regulatory measures is essential for any AI initiative—particularly in financial services—where the stakes are high.

International Developments in AI Integration

The UK’s decision to abstain from signing a declaration on “inclusive and sustainable” AI at the recent Paris summit is troubling. This lack of commitment risks leaving the UK behind as other global financial centers, which are actively prioritizing AI adoption, like Singapore, advance their technological frameworks in financial services.

AI Adoption Rate in Financial Services

The action plan arrives at a pivotal moment, as the adoption of AI in the financial sector reaches critical mass. Recent data from the Bank of England reveals that 75% of financial services firms are already utilizing AI, with an additional 10% planning to implement it within the next three years. AI could serve as a crucial tool in London, addressing pressing challenges, such as rising non-financial misconduct incidents.

Empowering Compliance Through AI

Additionally, a growing wave of support for AI solutions among financial services employees indicates readiness for change. Surveys show that two-thirds of sector workers are open to using technology to identify and manage non-financial misconduct at their firms. This openness toward innovation presents an excellent opportunity, particularly as public trust in technology becomes increasingly vital for industry and economic health.

Managing Data Challenges with AI Solutions

Another challenge that AI can help tackle is the overwhelming volume of data generated by financial professionals, especially since the rise of generative AI (GenAI). Compliance teams today are inundated with data, often struggling to process the sheer volume created. Yet, AI offers solutions for managing this influx, ensuring that captured data adheres to the Financial Conduct Authority (FCA) guidelines. While some organizations have started adopting AI in compliance processes, broader recognition at a strategic level is necessary.

The Path Forward: Ethical and Strategic AI Use

With strong support for AI in the financial sector, the UK business community must emphasize the strategic, responsible, and ethical deployment of these technologies. If leveraged correctly, AI can significantly enhance the financial health of the British economy. A focus on ethical frameworks and guidelines is crucial, especially in an industry dealing with sensitive personal and financial data.

Simon Patteson is Managing Director, EMEA at Smarsh
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Wolfsberg emphasizes the need for ethical AI application in financial crime investigations.

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