Consumer Law as a Tool to Regulate Artificial Intelligence

S. Gijrath
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Abstract

Ongoing digital transformation combined with artificial intelligence (AI) brings serious advantages to society. Transactional opportunities knock: optimal energy use, fully autonomous machines, electronic banking, medical analysis, constant access to digital platforms. Society at large is embracing the latest wave of AI applications as being one of the most transformative forces of our time. Two developments contribute to the rise of the algorithmic society: (1) the possibilities resulting from technological advances in machine learning, and (2) the availability of data analysis using algorithms. Where the aim is to promote competitive data markets, the question arises of what benefits or harm can be brought to private individuals. Some are concerned about human dignity. They believe that human dignity may be threatened by digital traders who demonstrate an insatiable hunger for data.Through algorithms the traders may predict, anticipate and regulate future private individual, specifically consumer, behaviour. Data assembly forms part of reciprocal transactions, where these data are currency. With the deployment of AI, traders can exclude uncertainty from the automated transaction processes. The equality gap in the employment of technology to automated transactions begs the question of whether the private individual’s fundamental rights are warranted adequately. Prima facie, the consumer stands weak when she is subjected to automatic processes – no matter if it concerns day-to-day transactions, like boarding
消费者法作为监管人工智能的工具
正在进行的数字化转型与人工智能(AI)相结合,给社会带来了严重的好处。交易机会敲门:最佳能源利用、全自动机器、电子银行、医疗分析、持续访问数字平台。整个社会都在拥抱最新一波人工智能应用,将其视为我们这个时代最具变革性的力量之一。两个发展有助于算法社会的兴起:(1)机器学习技术进步带来的可能性,(2)使用算法进行数据分析的可用性。如果目标是促进竞争性数据市场,那么问题就出现了,这将给个人带来什么好处或伤害。有些人关心人的尊严。他们认为,人类的尊严可能会受到数字交易员的威胁,这些交易员表现出对数据的永不满足的渴望。通过算法,交易者可以预测、预测和规范未来的个人,特别是消费者的行为。数据组装构成互惠交易的一部分,在互惠交易中,这些数据就是货币。随着人工智能的部署,交易者可以排除自动交易过程中的不确定性。技术应用于自动化交易的平等差距引出了一个问题,即个人的基本权利是否得到充分保障。从表面上看,当消费者受制于自动化流程时,无论是否涉及日常交易,比如登机,她都是弱势的
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