{"title":"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","authors":"Oludolapo Makinde, Philippe Le Billon","doi":"10.1080/02646811.2022.2087340","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":51867,"journal":{"name":"Journal of Energy & Natural Resources Law","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2022-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence and the Extractive Industries Transparency Initiative as anti-corruption tools for Canadian extractive companies\",\"authors\":\"Oludolapo Makinde, Philippe Le Billon\",\"doi\":\"10.1080/02646811.2022.2087340\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":51867,\"journal\":{\"name\":\"Journal of Energy & Natural Resources Law\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2022-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Energy & Natural Resources Law\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1080/02646811.2022.2087340\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Energy & Natural Resources Law","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1080/02646811.2022.2087340","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
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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