The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Social Life of Algorithmic Values: Examining the Impact of Value-Based Frameworks in Everyday Life
Open accessAbstract
Value-based frameworks are widely used to guide the design of algorithms, yet their influence in mediating users’ perception and use of algorithm-driven technologies is vastly understudied. Moreover, there is a need to move research beyond a focus on human-algorithm interaction to account for how the values these frameworks promote – algorithmic values – become socialised outside the boundaries of the (human-algorithm) interaction and how they influence everyday practices that are not algorithmically mediated. This paper traces the entanglement of algorithmic values and everyday life by mapping how residents of the Salvadorian town of El Zonte perceive the top-down transition of the town into "Bitcoin Beach" through value-driven transformations to diverse aspects of their material culture and built environment. This approach advances empirical research on the impact of algorithms by acknowledging the myriad ways in which those who won’t or can’t (afford to) interact with algorithm-driven technologies are impacted by the value-based outcomes of their programming and provides novel insights for critically examining the role of algorithm-driven technologies in shaping sustainable futures.
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Research from the Global North often remains fragmented, addressing algorithmic interactions without sufficient attention to broader cultural and socioecological contexts.
“Although much of the research from the Global North focuses on human-computer relations and critical algorithm studies to promote human-computer interaction toward understandings of the co-existence of machine and human over time, these efforts often remain fragmented, addressing algorithmic interactions without sufficient attention to broader cultural and socioecological contexts [18, 58, 59].”
From Designing Responsible AI with Indigenous Communities: Towards Participatory AI with ovaHimba and San People in Namibia (2026) · cites this paper as [18]
There is a need for localised RAI approaches that align algorithmic systems with diverse lived realities and broader socio-economic and ecological contexts.
“This gap underscores the need for localised RAI approaches that align algorithmic systems with diverse lived realities, as well as broader socio-economic and ecological contexts [18].”
From Designing Responsible AI with Indigenous Communities: Towards Participatory AI with ovaHimba and San People in Namibia (2026) · cites this paper as [18]
Citations
Cites
The global landscape of AI ethics guidelines
Jobin, A., Ienca, M., & Vayena, E. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0088-2 · Cited by 6,220
The social power of algorithms
Beer, D. (2017) · Information, Communication & Society · doi:10.1080/1369118x.2016.1216147 · Cited by 945
Operationalising AI Ethics: Barriers, Enablers and next Steps
Morley, J., Kinsey, L., Elhalal, A., Garcia, F., Ziosi, M., & Floridi, L. (2023) · AI & SOCIETY · doi:10.1007/s00146-021-01308-8 · Cited by 215
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Indongo, N. N., Smith, R. C., Winschiers-Theophilus, H., Kandjengo, S., & Mbinge, U. (2026) · Proceedings of the 19th Participatory Design Conference 2026, Vol. 1: Full Papers · doi:10.1145/3796624.3796667 · Cited by 1
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Metadata
- Authors
- Garnham, I., & Smith, R.
- Affiliations
- Aarhus University (DK)
- Corresponding author
- Garnham, Ignacio
- Venue
- Linköping Electronic Conference Proceedings
- Published
- 2024-06-14
- Volume
- 208
- Pages
- 101-111
- ISSN
- 1650-3686 (ISSN-L)
- OpenAlex
- W4399676557
- Cited by
- 2
- References
- 3
- Citations by year
- 2026: 1 · 2024: 1
- FWCI
- 0.91
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- dx.doi.org
- Locations
- Linköping electronic conference proceedings (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Urban Studies › Smart Cities and Technologies
- Keywords
- value-based approach, everyday life, human-algorithm interaction, material culture, built environment, sustainable futures
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