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The UK鈥檚 evolving pro-innovation approach to AI regulation

Impacts on financial services firms

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The regulatory framework for financial services firms using Artificial Intelligence (AI) in the UK is evolving听鈥� with the Department for Science, Innovation and Technology (DSIT) having now published the response to their 2023 White Paper. Overall, this response reaffirms the `agile and principles-based' approach originally proposed. However, the government has pledged extra support for regulators (in the form of money and guidance) and has laid out the potential for future binding requirements on developers of the most advanced systems. Regulators have also been asked to outline their strategic approach to AI by 30 April.

Background


The UK government published its original AI Regulation White Paper in March 2023听鈥� for a full summary, see our earlier article听here. In short, this proposed that existing regulators be empowered to fold a set of five cross-cutting principles into their remits:

  1. Safety, security and robustness
  2. Appropriate transparency and explainability
  3. Fairness
  4. Accountability and governance
  5. Contestability and redress

Importantly, the White Paper emphasised a reticence to intervene with bespoke rules for AI. Instead, existing frameworks like the Consumer Duty and the Senior Manager and Certification Regime (for FS), would be used to ensure firms take ownership of the appropriate use of (and governance over) any AI models. The FCA and Bank of England (BoE) have already aligned themselves with this view, through recent听听and the tailoring of the听Model Risk Management Policy.听


White Paper Response


Following a review of stakeholder feedback, the听听to the White Paper has now been published. It emphasises the following key points:

Flexible approach with power delegated to existing regulators

  • The government has reiterated that a 鈥渇irmly pro-innovation鈥� approach will make the UK 鈥渕ore agile鈥� than competitor nations. It will also allow the framework to benefit from sector-specific expertise.
  • The UK will not rush to legislate, or risk implementing `quick-fix' rules that would soon become outdated or ineffective.
  • The government has reaffirmed its initial non-statutory approach for regulators to enforce the five AI principles. This offers adaptability, especially while the government is still establishing its approach听鈥� but this will be kept under review.

Key regulators (including the FCA and BoE) will publish plans by end-April on how they are responding to AI risks and opportunities

  • These plans must include (i) an outline of steps they are taking in line with White Paper expectations, (ii) an overview of AI-related risks in their areas, (iii) their current AI skillset, and (iv) how they plan to regulate AI over the next 12 months.
  • The FS regulators have already begun building towards this requirement听鈥� through the publication of the AI Public Private Forum听听in 2022 and their听听to DP5/22 in 2023.

New support for regulators

  • A 拢10 million package of funding has been committed to boost regulators' AI expertise and help them develop cutting-edge tools to monitor and address risks in their sectors. Regulators will also be able to work with government departments to review potential gaps in existing regulatory powers and remits.
  • The government has published听听to support the implementation of the five AI principles 鈥� with further updates planned by Summer 2024.


Acknowledgement of the likely need for future binding requirements on developers of the `most advanced general-purpose systems' once the understanding of risk has matured

  • Overall, the government will consider legislative change to introduce binding measures if existing mitigations prove inadequate and voluntary measures are not implemented effectively. These measures would build on steps already taken by existing regulators.
  • Particular emphasis has been given to highly capable general-purpose AI because it poses a challenge to the White Paper's context-based approach. As these systems can be used in a wide range of applications, any underlying risks could quickly spread across multiple sectors of the economy. In other words, the risks could not be managed through the remit of any one regulator.
  • Any new binding measures would be directed at the `up-stream' developers of in-scope systems rather than the end-user firms (including FS firms). These measures would ensure adherence to the five AI principles听鈥� e.g. could include transparency measures, accountability, corporate governance obligations or actions to address potential harms.
  • An update on these plans will be published by the end of the year.

Coordination across government and regulators through a Central Function

  • A new multidisciplinary team (within DSIT) is being recruited to conduct cross-sector risk assessment and monitoring. In particular, this team will evaluate the effectiveness of any interventions and create a `single source of truth' on AI risks听(i.e. a risk register) 鈥� which can be leveraged by regulators for their own policies.
  • Establishment of a Steering Committee as a formal coordination structure between the government and regulators and appointment of lead AI Ministers in each department.

Building on voluntary measures

  • The government will continue to rely on firms' commitment to certain voluntary measures听鈥� such as the ones agreed at the recent UK AI Safety Summit. This will bolster any specific requirements developed by regulators in their sectors.






Further commitment to the AI Safety Institute

  • The government has committed further investment in the AI Safety Institute听鈥� which was established during the recent AI Safety Summit. Although not a regulator, this Institute will act as an `early warning system' for some of the most concerning risks.
  • One of the Institute's core functions is to develop and conduct evaluations of advanced AI systems听鈥� with leading AI companies having already pledged to provide priority access to their systems.

Wider support for the AI ecosystem and international cooperation

  • The听听听application window will launch in Spring 2024. This scheme aims to provide tailored advice on regulatory issues to help businesses launch new AI products and services听鈥� the insights from which will inform the government's approach.
  • The government has committed additional funding to initiatives including the launch of nine new research hubs, building the next generation of supercomputers, and a partnership with the US.
  • Other guidance will be published throughout the year听鈥� including an AI Assurance report and advice on the use of AI within HR.
    The government will continue to act through bilateral partnerships and multilateral initiatives听鈥� including future AI Safety Summits.

What this means for FS firms


In the coming months, the government will formally establish activities to support regulator capabilities and coordination, including its Steering Committee. They will publish findings from stakeholder engagement (via a series of expert discussion papers) and conduct new targeted consultations.听Some common themes that should be addressed include intellectual property, data bias and the risk of discrimination, data protection and transparency, competition and impacts on the workforce.

UK financial services firms should continue to keep abreast of all consultations issued by the FCA, PRA and BoE, as they will be charged with the regulation of AI for this sector. Our previous听article听summarises the guidance that has been issued so far to date. In particular, the FCA and BoE have now been asked by the government to publish their future plans by the end of April. FS firms should also keep informed of any requirements from adjacent regulators that may have some remit over their operations听鈥� e.g. the Information Commissioner's Office.

In the meantime, as AI adoption continues to increase, firms should proactively begin adapting their risk management and governance frameworks听鈥� e.g, by establishing an effective suit of controls aligned to their risk appetite. Given the emphasis on Senior Managers' responsibility and the Consumer Duty, these should be prioritised. Firms could also choose to apply for the DRCF pilot scheme for support in understanding the regulatory framework.听听

The fact that the UK government will continue to review the need for future binding requirements on the developers of general-purpose AI systems may bring comfort to FS firms as they continue to consider and/or increase the use of these systems within their applications and services.听

With听听now reached on the EU AI Act (see more in our article听here), and听regulatory frameworks听developing in the US, firms with a footprint across multiple jurisdictions should consider how they will navigate any divergence.听

How 乐鱼(Leyu)体育官网 in the UK can help


Within 乐鱼(Leyu)体育官网 in the UK, we have been developing and implementing AI tech solutions internally and externally. Through our extensive technical, operational and risk experience, we can help accelerate your ambitions within the AI space. This can be done by helping you define your AI strategy, governance and use case definition听鈥� right through to working with you to build effective AI tech solutions that are designed to add value to your business, underpinned by effective security, data and technology controls.

If you would like to discuss, please get in touch.


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Kate Dawson

Wholesale Conduct & Capital Markets, EMA FS Regulatory Insight Centre

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