人工智能和采掘业透明度倡议作为加拿大采掘业公司的反腐败工具

IF 1.6 4区 社会学 Q4 ENVIRONMENTAL STUDIES Journal of Energy & Natural Resources Law Pub Date : 2022-07-11 DOI:10.1080/02646811.2022.2087340
Oludolapo Makinde, Philippe Le Billon
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引用次数: 0

摘要

人工智能(AI)有望改善自然资源治理,包括解决贿赂和腐败风险。计算能力的调动需要获取大量数据,而披露工具为这一任务提供了便利。本文探讨了人工智能和采掘业透明度倡议(EITI)作为反腐败工具的基本原理和潜力,重点关注加拿大的采掘业公司。本文的结论是,尽管存在一些道德、法律和实践方面的挑战,但人工智能和EITI标准的整合有望遏制采掘行业的腐败。
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Artificial intelligence and the Extractive Industries Transparency Initiative as anti-corruption tools for Canadian extractive companies
Artificial Intelligence (AI) offers the promise of improving natural resource governance, including addressing bribery and corruption risks. The mobilisation of computing power requires access to large amounts of data, a task facilitated by disclosure instruments. This paper examines the rationale and potential of artificial intelligence and the Extractive Industries Transparency Initiative (EITI) as anti-corruption tools, with a focus on extractive companies based in Canada. The paper concludes that the integration of AI and the EITI Standard holds some promise to curtail corruption in extractive sectors, despite some ethical, legal and practical challenges.
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来源期刊
CiteScore
3.80
自引率
9.10%
发文量
32
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