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Lui, A and Lamb, G (2018) Artificial intelligence and augmented intelligence collaboration: Regaining trust and confidence in the financial sector. Information and Communications Technology Law. ISSN 1360-0834
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Artificial intelligence and augmented intelligence collaboration Regaining trust and confidence in the financial sector.pdf - Accepted Version Download (314kB) | Preview |
Abstract
Robots and chatbots are sophisticated. Artificial intelligence (AI) is increasingly popular in the financial industry due to its ability to provide customers with cheap, efficient and personalised services. This article uses doctrinal sources and a case study to show that many banks and FinTech start-ups are investing in AI. Yet, there are a number of challenges arising from the use of AI which could undermine trust and confidence amongst consumers. This article features the issue of bias and discrimination in banking. There is evidence that algorithms discriminate against certain races and gender. Legislative gaps in the Equality Act 2010 and the General Data Protection Regime will be analysed. Ultimately, human beings are still needed to input, train and help machines to learn. Fortunately, the FCA are leading in regulating technology, from the launch of regulatory sandboxes to their co-operative collaboration with FinTech start-ups on regulatory matters. Augmented intelligence collaboration is needed to enable industry players and regulators to provide seamless regulation and financial stability. The future of AI regulation is inter-disciplinary in approach.
| Item Type: | Article |
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| Additional Information: | This is an Accepted Manuscript of an article published by Taylor & Francis in Information and Communications Technology Law on 25/6/18, available online: http://www.tandfonline.com/10.1080/13600834.2018.1488659 |
| Uncontrolled Keywords: | 0806 Information Systems, 0899 Other Information And Computing Sciences, 1801 Law |
| Subjects: | H Social Sciences > HG Finance K Law > K Law (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Law |
| Publisher: | Taylor & Francis (Routledge) |
| Date Deposited: | 18 Apr 2018 11:02 |
| Last Modified: | 04 Sep 2021 10:33 |
| DOI or ID number: | 10.1080/13600834.2018.1488659 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/8512 |
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