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Artificial intelligence and augmented intelligence collaboration: regaining trust and confidence in the financial sector

机译:人工智能和增强智能协作:重新获得对金融部门的信任和信心

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摘要

Robots and chatbots are sophisticated. Artificial intelligence (Al) 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 Al. Yet, there are a number of challenges arising from the use of Al 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 Al regulation is interdisciplinary in approach.
机译:机器人和聊天机器人非常复杂。人工智能(Al)由于能够为客户提供便宜,高效和个性化的服务,因此在金融行业越来越受欢迎。本文使用理论资料和案例研究表明,许多银行和金融科技初创企业都在Al投资。然而,铝的使用带来了许多挑战,这些挑战可能破坏消费者之间的信任和信心。本文介绍了银行业的偏见和歧视问题。有证据表明算法会歧视某些种族和性别。将分析《 2010年平等法》和《通用数据保护制度》中的法律空白。最终,仍然需要人类输入,训练和帮助机器学习。幸运的是,FCA在监管技术方面处于领先地位,从推出监管沙箱到与金融初创公司就监管事宜进行合作。需要增强的情报协作,以使行业参与者和监管机构能够提供无缝的监管和财务稳定性。 Al法规的未来在方法上是跨学科的。

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