Big data in insurance contracts - a tool for good, or bad?

IF 0.1 Q4 LAW
Michele van Eck, S. Huneberg
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Abstract

Big data is changing the way many companies conduct business on a day-to-day basis. Insurers are notorious for utilising data in the risk assessment of prospective and current policyholders. The use of such risk assessment mechanisms in insurance has resulted in some discrimination between various policyholders but this has been held to be justifiable due to the fact that it is based on actuarial science and is therefore viewed as fair. However, the advent of big data, data analytics, algorithms, and artificial intelligence is providing insurers with far more sophisticated data about potential policyholders. This may prove to be beneficial to insurers in many ways, but it also brings about additional possibilities of exclusion within the industry. This use of big data has the potential to increase social injustices within our country, which is something that needs to be avoided as much as possible. Discrimination, through the use of big data, is a reality that needs to be addressed by insurers and regulators alike. Achieving social justice as far as possible in the insurance industry is crucial and also requires considerations in the areas of morality and ethics. The reason for this is that the very nature of big data is integrally linked to the assessment of the policyholder's moral risks and hazards for the benefit of the insurer is often linked to personal circumstances and, sometimes, the financial circumstances of the policyholder, and may even speak to the policyholder's integrity. Although potentially beneficial for the insurers from a risk assessment perspective, the use of big data has ethical and moral considerations within the insurance context. After all, the insurance industry's collection, storage, and use of big data raises ethical and moral concerns and casts a shadow on the manner it is used to assess policyholders. This discussion highlights the need for regulatory oversight of big data, an aspect that is notably missing in the South African legislative framework.
保险合同中的大数据--是利器还是弊器?
大数据正在改变许多公司的日常业务方式。保险公司在对潜在和现有投保人进行风险评估时利用数据是出了名的。在保险中使用这种风险评估机制造成了不同投保人之间的一些歧视,但由于这种机制是基于精算科学,因此被认为是公平的。然而,大数据、数据分析、算法和人工智能的出现为保险公司提供了有关潜在投保人的更为复杂的数据。这可能会在很多方面为保险公司带来好处,但也会在行业内带来更多排斥的可能性。大数据的使用有可能加剧我国的社会不公,这是需要尽可能避免的。通过使用大数据进行歧视是保险公司和监管机构都需要解决的现实问题。在保险业尽可能实现社会公正至关重要,同时也需要考虑道德和伦理方面的问题。究其原因,大数据的本质与投保人的道德风险和危害评估密不可分,为了保险公司的利益,大数据往往与投保人的个人情况挂钩,有时甚至与投保人的财务状况挂钩,甚至可能涉及投保人的诚信问题。虽然从风险评估的角度来看,大数据的使用可能对保险公司有利,但在保险领域,大数据的使用也有伦理道德方面的考虑。毕竟,保险业对大数据的收集、存储和使用会引发伦理和道德问题,并对其用于评估投保人的方式投下阴影。这一讨论凸显了对大数据进行监管的必要性,而这正是南非立法框架中明显缺失的一个方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
De Jure
De Jure LAW-
自引率
0.00%
发文量
11
审稿时长
4 weeks
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