西欧公司报告中关于算法决策的披露

IF 4.1 3区 管理学 Q2 BUSINESS International Journal of Accounting Information Systems Pub Date : 2023-03-01 DOI:10.1016/j.accinf.2022.100596
Enrique Bonsón , Michaela Bednárová , David Perea
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引用次数: 5

摘要

在过去的十年里,不同人工智能工具的使用有所增加。为了阐明人工智能披露的新趋势,本文的目的是分析西欧主要公司在其年度或可持续性报告中关于自动决策(ADM)披露的当前做法。本文提出了一种基于二元图的方法,能够自动提取公司披露的ADM信息。样本包括2018年和2019年发布的962份年度/可持续发展报告,涉及在13个西欧国家股市上市的337家公司。我们的研究结果表明,ADM的披露仍处于早期阶段,最早采用者大多是在金融部门运营的公司。
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Disclosures about algorithmic decision making in the corporate reports of Western European companies

Over the last decade, the use of different artificial intelligence (AI) tools has increased. To shed some light on the emerging trend of AI disclosure, the aim of this paper is to analyse the current practices of major Western European companies regarding the automated decision-making (ADM) disclosure in their annual or sustainability reports. This paper proposes a methodology based on bigrams that enables the automatic extraction of the information on ADM that companies disclose. The sample consisted of 962 annual/sustainability reports, published in 2018 and 2019, of 337 companies listed on 13 Western European countries’ stock markets. Our findings show that ADM disclosure is still at an early stage and that the first adopters are mostly companies operating in the financial sector.

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来源期刊
CiteScore
9.00
自引率
6.50%
发文量
23
期刊介绍: The International Journal of Accounting Information Systems will publish thoughtful, well developed articles that examine the rapidly evolving relationship between accounting and information technology. Articles may range from empirical to analytical, from practice-based to the development of new techniques, but must be related to problems facing the integration of accounting and information technology. The journal will address (but will not limit itself to) the following specific issues: control and auditability of information systems; management of information technology; artificial intelligence research in accounting; development issues in accounting and information systems; human factors issues related to information technology; development of theories related to information technology; methodological issues in information technology research; information systems validation; human–computer interaction research in accounting information systems. The journal welcomes and encourages articles from both practitioners and academicians.
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