dc.contributor.author | Georgosouli, A | en_US |
dc.date.accessioned | 2023-05-30T10:34:53Z | |
dc.date.available | 2023-04-19 | en_US |
dc.identifier.issn | 1464-3820 | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/88513 | |
dc.description.abstract | UK financial regulators are experimenting with the conversion of rulebook content into machine-readable and executable code. A major driver of these initiatives is the belief that the use of algorithms will eliminate the need for human interpretation as a deliberative process, and that this would be a welcome development because it will improve effectiveness while cutting time and costs for regulators and the industry alike. In this article, I set out to explain why human interpretation should be preserved and further harnessed if data-driven governance is to work at all. To support my thesis, I bring attention to the limited translatability of rulebook content into code, and to the difficulties for machines to engage with the full spectrum of tasks of analogical reasoning. I further contend that it would be desirable to preserve human interpretation on procedural grounds pertaining to the legitimacy of financial regulators. I conclude with recommendations about the future design of the financial rulebooks. | |
dc.publisher | Oxford University Press | en_US |
dc.relation.ispartof | Oxford Journal of Legal Studies | en_US |
dc.rights | This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. | |
dc.title | 'Metarules, judgment and the algorithmic future of financial regulation in the UK | en_US |
dc.type | Article | |
dc.rights.holder | © The Author(s) 2023. Published by Oxford University Press. | |
pubs.notes | Not known | en_US |
pubs.publication-status | Accepted | en_US |
dcterms.dateAccepted | 2023-04-19 | en_US |