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Establishing a social licence for Financial Technology: Reflections on the role of the private sector in pursuing ethical data practices

机译:建立金融技术的社会许可证:关于私营部门在追求道德数据实践方面的作用的思考

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Current attention directed at ethical dimensions of data and Artificial Intelligence have led to increasing recognition of the need to secure and maintain public support for uses (and reuses) of people’s data. This is essential to establish a “Social Licence” for current and future practices. The notion of a “Social Licence” recognises that there can be meaningful differences between what is legally permissible and what is socially acceptable. Establishing a Social Licence entails public engagement to build relationships of trust and ensure that practices align with public values. While the concept of the Social Licence is well-established in other sectors – notably in relation to extractive industries – it has only very recently begun to be discussed in relation to digital innovation and data-intensive industries. This article therefore draws on existing literature relating to the Social Licence in extractive industries to explore the potential approaches needed to establish a Social Licence for emerging data-intensive industries. Additionally, it draws on well-established literature relating to trust (from psychology and organisational science) to examine the relevance of trust, and trustworthiness, for emerging practices in data-intensive industries. In doing so the article considers the extent to which pursuing a Social Licence might complement regulation and inform codes of practice to place ethical and social considerations at the heart of industry practice. We focus on one key industry: Financial Technology. We demonstrate the importance of combining technical and social approaches to address ethical challenges in data-intensive innovation (particularly relating to Artificial Intelligence) and to establish relationships of trust to underpin a Social Licence for Financial Technology. Such approaches are needed across all areas and industries of data-intensive innovation to complement regulation and inform the development of ethical codes of practice. This is important to underpin culture change and to move beyond rhetorical commitments to develop best practice putting ethics at the heart of innovation.
机译:目前在数据和人工智能的道德维度上指导的注意力导致了越来越多地识别,需要确保和维护人们数据的使用(和Rebuses)的公共支持。这对于建立“社会许可证”对于当前和未来的做法至关重要。 “社会许可证”的概念认识到,在法律允许的情况之间存在有意义的差异,并且社会可接受的是什么。建立社会许可需要公众参与建立信托关系,并确保实践与公共值对齐。虽然社会许可的概念是在其他部门建立的概念 - 特别是与采掘行业有关 - 它最近才与数字创新和数据密集型产业有关。因此,本文借鉴了与采掘行业中的社会许可有关的现有文献,探讨建立新兴数据密集型产业的社会许可所需的潜在方法。此外,它还利用了与信任(来自心理学和组织科学)有关的既有文献,以研究数据密集型产业中的新兴实践的信任和可信度的相关性。在这样做,这篇文章认为追求社会许可的程度可以补充规定,并告知实践守则,以便在行业实践中的核心奠定道德和社会考虑因素。我们专注于一个关键行业:金融技术。我们展示了与技术和社会方法相结合的重要性,以应对数据集约创新(特别是与人工智能有关)以及建立信任关系,以支持金融技术的社会许可。在数据密集型创新的所有领域和行业都需要这些方法,以补充规定,并告知发展道德规范的惯例。这对基础文化变革很重要,并超越修辞承诺,在创新的核心中发展最佳实践。

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