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人工智能在交易监控中——一石二鸟

监管机构通常被认为是保守的, sometimes constraining organisations that exist to put limits on the extent to which banks can innovate and trial new solutions. 然而, 世界各地的监管机构似乎确实在迅速改变他们的做法, and banks can act swiftly to take advantage of the new outlook by using regulatory change to stay ahead of the competition.

There have been several indicators in recent months that regulators are beginning to encourage the use of innovative technology amongst financial institutions.  例如, the FCA are currently hiring for a Director of Innovation tasked with driving ‘engagement with technological innovation within the financial services industry’.  The UK regulator also provides a sandbox environment that allows businesses to test innovative propositions. Banks can use waivers and modifications to existing rules in order to quickly understand the positive benefit that technology can have on customers, 同时也得到了全球最大的博彩平台其监管适用性的即时反馈.


这个开放, collaborative approach is hugely beneficial within the industry as there are many areas within Financial 服务 which are heavily regulated but have the potential to make real use of innovative technology.  One such area is Transaction Monitoring within the world of Financial Crime: the use of AI could help to reduce operational costs whilst also increasing the accurate detection of fraud.  然而, 作为新兴市场, 大部分未经验证的技术(大规模应用于银行业), the effective and widespread use of AI is heavily contingent on regulators accepting the banks’ approaches, 在涉及金融犯罪的地方更是如此.

Transaction Monitoring costs are dramatically increasing as global non-cash transaction volumes grow year on year, which has led to a large increase in the number of suspicious transactions which need to be investigated by compliance officers.  再加上这个, Transaction Monitoring has always been an area of great scrutiny for regulators as they require clear explanations for any decisions taken.  因为对错误的容忍度很低, financial institutions have leant towards a rule-based approach which allows them to explain their decision making processes.

AI provides an opportunity to reduce the operational costs associated with Transaction Monitoring by re-designing solutions to switch from a rule-based approach to a risk-based approach. 然而, this will inevitably make decisions more difficult to explain – not only will the system begin to make decisions that deviate from hard coded, 黑白规则, 但是,即使使用相同的输入数据,结果也可能无法重现. The black box effect of artificial intelligence is hotly debated in the industry, and poses something of a challenge for regulators that want to maintain control and oversight of key banking processes, but also want banks to embrace new technologies that could make the market safer for customers.

也就是说, it seems that regulators are actively encouraging financial institutions to utilise innovative approaches to combat money laundering.  2018年12月 美国监管机构发表了联合声明 suggesting that banks and credit unions take “innovative approaches to combating money laundering, 恐怖主义融资和其他非法金融威胁.” It detailed that pilot programmes using AI “will not necessarily result in supervisory action with respect to that program.” This means that if banks were to implement an AI solution that identified suspicious activity which wouldn’t otherwise have been detected, then the regulators won’t automatically assume that the banks existing processes are deficient. It seems that the regulators realise the need for better transaction monitoring to reduce financial crime on a global scale. They believe that innovative solutions such as AI could provide the answer and are encouraging banks to investigate these possibilities.

If the desire from both sides is there, then surely there will be swift adoption?  人们会预料到这是事实, 然而, replacing transaction monitoring systems is costly and the knowledge and skillset to implement AI projects in banks is still growing.   The key to progress is collaboration between the regulator and the industry.  Collaborative efforts can ensure wider adoption and help set the standards for model management of AI based transaction monitoring solutions.   Increased guidance and support from the regulators will provide financial institutions with the safety net to invest in innovative technology.  This in turn will help them reduce operational costs and increase compliance, 一石二鸟.

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