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As in other fields of digital transformation, the EU Commission wants to set a standard with its draft regulations for both cryptoassets, and artificial intelligence. But is it ready for the challenge? Both technologies will bring profound changes – in finance and elsewhere. Drafting adequate provisions for questions that are genuinely new is challenging, especially when the Commission stated priority is to ensure that the EU financial services regulatory framework should be innovation-friendly and should not pose obstacles to the application of new technologies. It is difficult to strike the balance right between legal certainty and the agility needed for future adjustments in a highly dynamic field.
Our FinTech Perspectives series, will explore the content, potential, and shortcomings as well as the areas that require further clarification in this important field of European legislation on digital transformation in the financial services sector.
Within its overarching plan to Shape Europe’s Digital Future, The European Commission is determined to make the lead-up to 2030 Europe’s Digital Decade. This ambition has, aside from activities in other fields, resulted in an outpouring of legislative initiatives. The great majority of these initiatives aims to get an ever better handle on our digital reality to date. These legislative activities in more established fields of digitalization include:
For all of these, the European legislator needs to reconcile its desire to support technology and business innovation on the one side with the necessary protection for individuals and business in the EU on the other side. Getting this balance right is vital for the success of each of those initiatives. It is also a relevant foundation for additional regulations that aim to address new digital technologies that will change markets even further.
These new digital technologies are in particular, in the Commission’s view, quantum computing, distributed ledger technology (DLT) and artificial intelligence (AI). Among those, quantum computing is still distant from any relevant application in practice. Accordingly, the Commission’s Quantum Strategy focuses predominantly on research & development to promote technology advancement in this field of computing. Any legal regulation for quantum computing needs to wait until its application takes further shape. Once it materializes, it will probably require a re-write of many parts of the digital legislation as its computing power may transform current e-commerce, cyber security and blockchain systems.
DLT and AI are at a different place. They have taken off already. Among the industries affected, financial services deserve a special place. The effects of both technologies on finance are considerable. Just two examples to illustrate this point:
The EU legislator needs to be commended for having understood the profound impact cryptoassets and AI are about to make – as well as for the attempt to create a comprehensive legal framework for them. Still, more work needs to be done. A number of open issues have to be addressed and a number of assumptions still need to be revised. We will deal with these open issues and questions in future issues of FinTech Perspectives. Some of the most relevant questions shall be flagged already here.
The draft Regulation on Markets in Crypto-Assets (MiCA) of 24 September 2020, is part of the EU’s Financial Package which also includes a Regulation for a Pilot-Regime for DLT based Market Infrastructure. MiCA provides a legislative framework for all cryptoassets that are not regulated elsewhere – such as financial instruments under MiFID II or e-money under the E-Money Directive. It establishes varying levels of requirements for different cryptoassets, depending on the risk they create for the market overall and individual market participants in particular. The current version of the draft raises a number of questions, which we are going to explore in more detail, such as:
The draft Regulation on Artificial Intelligence of 21 April 2021, has an extremely broad scope of application, both geographically (all AI that has an impact in the EU) and in terms of the types of AI covered (all forms of machine learning and also any algorithms that use certain types of logic/statistic/etc. approaches). It prohibits some AI (such as for certain real time biometric recognitions or social scorings) and qualifies other as “high-risk AI” (covering a wider range of product components and applications, such as credit worthiness evaluations). The Regulation’s main focus is to regulate this high risk AI, imposing a wide range of transparency, diligence and documentary requirements. Among the questions that this draft regulation raises are:
We will pick up on those and other topics in future issues of our FinTech Perspectives.
Authored by Leopold von Gerlach and John Salmon