Matthew Pilling
Experiencing mundane AI futures
Pilling, Matthew; Coulton, Paul; Lodge, Thomas; Crabtreeb, Andy; Chamberlain, Alan
Authors
Paul Coulton
Thomas Lodge
Professor ANDY CRABTREE ANDY.CRABTREE@NOTTINGHAM.AC.UK
Professor of Computer Science
ALAN CHAMBERLAIN alan.chamberlain@nottingham.ac.uk
Senior Research Fellow
Abstract
Whilst popular visions of Artificial Intelligence (AI) are often presented through the lens of sentient machines, our lived experience of AI is more mundane and exemplified by so-called ‘smart’ products and services. Whilst this mundane reality is often presented using design approaches that make their operation appear simple and innocuous, these smart systems, and the data they use and collect, can challenge and even disrupt ordinary expectations. Our ability to manage smart technologies effectively is key to the field of Human Data Interaction (HDI), which seeks to shape systems design and empower users by implementing core principles of legibility, agency and negotiability. However, how these principles manifest in practice is yet to be fully understood. We seek to understand key challenges confronting HDI by situating smart products and services in everyday life and creating a mundane experiential future that houses AI in a caravan for evaluation with the general public.
Citation
Pilling, M., Coulton, P., Lodge, T., Crabtreeb, A., & Chamberlain, A. (2022). Experiencing mundane AI futures. . https://doi.org/10.21606/drs.2022.283
Conference Name | DRS2022 |
---|---|
Conference Location | Bilbao, Spain |
Start Date | Jun 23, 2022 |
End Date | Jul 3, 2022 |
Acceptance Date | Jun 1, 2022 |
Online Publication Date | Jun 16, 2022 |
Publication Date | 2022 |
Deposit Date | Aug 11, 2022 |
Publicly Available Date | Aug 11, 2022 |
Publisher | Design Research Society |
Series Title | DRS biennial conference series |
DOI | https://doi.org/10.21606/drs.2022.283 |
Public URL | https://nottingham-repository.worktribe.com/output/9903294 |
Publisher URL | https://dl.designresearchsociety.org/drs-conference-papers/drs2022/researchpapers/56/ |
Files
Experiencing mundane AI futures
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Publisher Licence URL
https://creativecommons.org/licenses/by-nc/4.0/
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