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    Rights statement: © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems,Paper No. 379 https://dl.acm.org/citation.cfm?id=3300609

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    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

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Programmable Donations: Exploring Escrow-based Conditional Giving

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Published
Publication date4/05/2019
Host publicationACM CHI Conference on Human Factors in Computing Systems: Weaving the Threads of CHI
Place of PublicationNew York
PublisherACM
Number of pages13
ISBN (print)9781450359702
<mark>Original language</mark>English
EventACM CHI Conference on Human Factors in Computing Systems: Weaving the Threads of CHI - Scottish Event Campus , Glasgow, United Kingdom
Duration: 4/05/2019 → 9/05/2019
https://chi2019.acm.org/

Conference

ConferenceACM CHI Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2019
Country/TerritoryUnited Kingdom
CityGlasgow
Period4/05/19 → 9/05/19
Internet address

Conference

ConferenceACM CHI Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2019
Country/TerritoryUnited Kingdom
CityGlasgow
Period4/05/19 → 9/05/19
Internet address

Abstract

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.

Bibliographic note

© ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems,Paper No. 379 https://dl.acm.org/citation.cfm?id=3300609