利用人工智能和区块链减少现代奴隶制

Pratap Tambe, Dr Prerna Tambay
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引用次数: 4

摘要

英国的《现代奴隶制法案》未能显著减少英国组织及其供应链中的现代奴隶制。失败的一个关键原因是,这些组织采用了以人为中心的现代奴隶制尽职调查程序,这在识别现代奴隶制罪行方面存在重大弱点。本文旨在提出现代奴隶制尽职调查流程,该流程利用自主数字身份组件、基于人工智能的现代奴隶制犯罪监控组件和现代奴隶制犯罪区块链组件,旨在帮助改进对现代奴隶制犯罪的识别,否则这些犯罪将被隐藏。由于低成本的持续监测,而不是高成本的基于样本的监测,这一过程使管理人员能够识别和采取更多的现代奴役罪行。这个提议的解决方案可以显著减少现代奴役犯罪,并产生切实的商业利益
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reducing Modern Slavery Using AI and Blockchain
The Modern Slavery Act of the UK has failed in reducing modern slavery significantly in UK organizations and their supply chains. One of the critical reasons for the failure is that these organizations utilize human-centered modern slavery due diligence processes, which have significant weaknesses in identifying modern slavery offenses. This paper aims to propose modern slavery due diligence process which leverages the self-sovereign digital identity component, an AI-based modern slavery offense monitoring component, and a modern slavery offense blockchain component designed to help improve the identification of modern slavery offenses which would otherwise remain hidden. This process enables managers to identify and act on more modern slavery offenses due to low-cost continuous monitoring instead of high-cost sample-based monitoring. This proposed solution can significantly reduce modern slavery offenses and generate tangible business benefits
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