For example, the national data strategy, published in 2020, in-part aims to better enable businesses to use data to innovate – including by enabling greater access to data and addressing barriers to data sharing. It is also reflected in the plans the government set out recently for the future regulation of the use of AI in the UK, which differ significantly to more prescriptive new regulations proposed in the EU, under the EU AI Act. The government described its plans, set out in its AI white paper, as a new “pro-innovation framework”, and said they will “bring clarity and coherence to the AI regulatory landscape”.
There is evidence of a pro-innovation approach to data protection regulation in the UK already. The Information Commissioner’s Office (ICO) has long been regarded as a pragmatic regulator and there are examples of this in its work.
The ICO’s transfer risk assessment tool, for example, advocates a risk-based approach to assessments for transfers of personal data to third countries – an approach that is baked into the DPDI (No.2) Bill.
Other data protection authorities in the EU take a different view. The Austrian data protection authority has said that Chapter V of the GDPR – under which the international data transfer rules sit – “does not recognise a risk-based approach”, while the European Data Protection Board (EDPB) is also on record as saying that, in some cases, businesses could find that no supplementary measure can be applied to data transfer arrangements that enables them to meet the requirements of the EU GDPR for exporting that data to countries outside the European Economic Area (EEA).
The risk-based approach is also reflected in the ICO’s approach to enforcement.
Since the GDPR took effect, the number of fines imposed by the ICO has been significantly less than countries such as Spain and Germany, while the total value of the fines the ICO has imposed in that period is dwarfed by countries such as Ireland and France. In a speech last November setting out his regulatory philosophy, information commissioner John Edwards confirmed that the ICO under his watch would be “regulating for outcomes, not outputs” and said the ICO’s impact should not be measured by the number of value of fines it issues.
By establishing its regulatory sandbox, the ICO has also given businesses an opportunity to engage with the authority on how data protection law applies to innovative digital products and services. Empowering responsible innovation and sustainable economic growth is also a core objective under the ‘ICO25’ strategic plan.
The recent decision in the dispute between Experian and the ICO – though subject to appeal – also highlights the willingness of the information rights tribunal to give due recognition to business interests and the wider benefits of their data processing activities when assessing data protection compliance and how the law should be interpreted.
A balancing act for government
At the moment, the UK’s data protection regime is aligned with the EU’s and thus benefits from a so-called ‘adequacy’ decision of the European Commission. This enables the free flow of personal data between organisations in EEA and the UK – vital to cross-border trade.
Maintaining adequacy while delivering data protection law reform is a stated objective of the government, though losing that status would not be “a complete disaster”, according to acting government minister John Whittingdale.
In this context, it is unsurprising that the UK is pursuing relatively modest reforms to the UK GDPR with its DPDI (No.2) Bill. For large organisations operating across borders, the proposed changes are unlikely to alter compliance practices.
However, some of the changes the government has proposed would be genuinely beneficial for business.
We have already explained that we see potential for the changing UK approach to data protection exemptions to enable AI development. Other proposals in the Bill would, if enacted, make it easier for businesses to use technologies like AI in a way that supports automated decision making. Current constraints posed by the ‘purpose limitation’ principle and its effect on organisations’ ability to use personal data collected for other purposes to train AI and other tools to create accurate, and unbiased, outcomes are also targeted by provisions of the Bill.
Other amendments proposed place more of an emphasis on interpretation. For example, the government hopes to make the existing research exemption less restrictive by broadening the definition of ‘scientific research purposes’ to capture the processing of personal data for the purposes of any commercial research activity “that can reasonably be described as scientific” – and not just non-commercial research such as that carried out by universities.
For businesses, a new UK data protection framework that genuinely facilitates innovation and reduces administrative burdens while maintaining an EU adequacy decision would be very welcome and could, together with other reforms such as those relating to AI regulation, enhance the UK’s attractiveness as a global hub for trialling and commercialising new technologies.