Consequences, schmonsequences! Considering the future as part of publication and peer review in computing research

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Date
2021-05
Authors
Sturdee, Miriam
Lindley, Joseph
Linehan, Conor
Elsden, Chris
Kumar, Neha
Dillahunt, Tawanna
Mandryk, Regan
Vines, John
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Association for Computing Machinery (ACM)
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Abstract
Research in computing is becoming increasingly concerned with understanding and mitigating unintended consequences of technology developments. However, those concerns are rarely reflected in how we submit, review, and publish our own work. Specifically, in talking about how our new apps, devices, and algorithms will change the world, we focus almost exclusively on positive consequences. There have been calls to require some speculation about negative impacts as part of the peer review process. This workshop will explore how to think about and report potential negative consequences in our papers in a way thatâ s practical, inclusive, and achievable. The aim is to draw on scholarship around creative-yet-grounded speculation about technology futures and to consider how these might be applied to publication and peer review. The workshop aims to inspire the CHI conference and the computing research community to meaningfully consider and act upon the potential negative implications of their work.
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Keywords
Consequences , Futuring , Ideation , Peer review , Publication
Citation
Sturdee, M., Lindley, J., Linehan, C., Elsden, C., Kumar, N., Dillahunt, T., Mandryk, R. and Vines, J. (2021) 'Consequences, schmonsequences! Considering the future as part of publication and peer review in computing research', CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, 8-13 May, Article No. 95 (4pp). doi: 10.1145/3411763.3441330
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© 2021, the Authors. Published by the Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems https://doi.org/10.1145/3411763.3441330