论文标题
所有人的基于风险的法规：针对数据驱动的检验定位的广泛采用解决方案的需求和方法
Risk-based regulation for all: The need and a method for a wide adoption solution for data-driven inspection targeting
论文作者
论文摘要
近年来，访问数据和数据处理（包括使用机器学习技术）变得更加容易和便宜。然而，科学界并未经常讨论以数据驱动方式进行市场监控和检查针对市场监测和检查目标的解决方案。本文讨论了此类解决方案的开发需求和困难，提出了一种解决法规计划的有效方法，并说明了其用于说明大多数监管机构的最重要和最常见的主题：消费者。本文希望有助于提高监管社区对对数据处理方法的需求，这些数据处理方法是客观，公正，透明，可解释的，易于实施和低计算成本，旨在实施世界上基于风险的监管。
Access to data and data processing, including the use of machine learning techniques, has become significantly easier and cheaper in recent years. Nevertheless, solutions that can be widely adopted by regulators for market monitoring and inspection targeting in a data-driven way have not been frequently discussed by the scientific community. This article discusses the need and the difficulties for the development of such solutions, presents an effective method to address regulation planning, and illustrates its use to account for the most important and common subject for the majority of regulators: the consumer. This article hopes to contribute to increase the awareness of the regulatory community to the need for data processing methods that are objective, impartial, transparent, explainable, simple to implement and with low computational cost, aiming to the implementation of risk-based regulation in the world.
