可编程捐赠:探索基于托管的有条件捐赠

Chris Elsden, Ludwig Trotter, Mike Harding, N. Davies, Chris Speed, John Vines
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引用次数: 22

摘要

本文报告了一项与慈善捐赠者共同推测的访谈研究,以探索可编程、有条件和数据驱动的捐赠的未来。为了应对基于区块链和人工智能支持的金融技术的快速出现,我们专门研究了自动化第三方“托管”的潜力,在第三方“托管”中,捐赠在根据指定的规则和条件释放或返还之前被持有。为了探索这一点,我们举办了有9名参与者的试点研讨会,并进行了一项访谈研究,其中另外14名参与者被问及他们的捐款经历,并被邀请共同推测一项可编程捐赠服务。这项研究揭示了如何利用数据驱动的条件和自动化来创造新的捐赠体验,但也说明了程序化捐赠所涉及的内在紧张和挑战。通过对这些发现的反思,我们的论文对可编程援助平台的设计以及基于托管的金融服务的总体设计都有启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Programmable Donations: Exploring Escrow-Based Conditional Giving
This paper reports on a co-speculative interview study with charitable donors to explore the future of programmable, conditional and data-driven donations. Responding to the rapid emergence of blockchain-based and AI-supported financial technologies, we specifically examine the potential of automated, third-party 'escrows', where donations are held before they are released or returned based on specified rules and conditions. To explore this we conducted pilot workshops with 9 participants and an interview study in which 14 further participants were asked about their experiences of donating money, and invited to co-speculate on a service for programmable giving. The study elicited how data-driven conditionality and automation could be leveraged to create novel donor experiences, however also illustrated the inherent tensions and challenges involved in giving programmatically. Reflecting on these findings, our paper contributes implications both for the design of programmable aid platforms, and the design of escrow-based financial services in general.
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