ALGORITHMIC PRODUCTION BEYOND SILICON VALLEY

  • Dan M Kotliar Stanford University, United States of America
  • Rivka Ribak University of Haifa
  • Shazeda Ahmed UC Berkley
  • Jonathan Roberge Institut National de la Recherche Scientifique (INRS)
  • Marius Senneville Institut National de la Recherche Scientifique (INRS)
Keywords: algorithms, data, culture, space, Silicon Valley

Abstract

The last years have seen a proliferation of research on the social ramifications of algorithms (Eubanks 2018; Noble 2018) and the power of algorithms was insightfully theorized (Gillespie 2016; Bucher 2018). At the same time, scholars have begun to examine the ties between algorithms and culture (Seaver 2017), describing algorithms as products of complex socio-algorithmic assemblages (Gillespie 2016, 24), with often very local socio-technical histories (Kitchin 2017). However, the spatial trajectories through which algorithms operate, and the specific sociocultural contexts in which they arise have been largely overlooked. Accordingly, research tends to focus on American companies and on the effects their algorithms have on Euro-American users, while, in fact, algorithms are being developed in various geographical locations, and they are being used in diverse socio-cultural contexts. That is, research on algorithms tends to disregard the heterogeneous contexts from which algorithms arise and the effects various cultural settings have on the production of algorithmic systems. This panel aims to fill these gaps by offering four empirical perspectives on algorithmic production in three prominent tech centers: China, Canada, and Israel. We will ask: How do cross-cultural encounters construct notions of privacy? How is algorithmic discrimination understood and acted upon in China? What symbolical and material resources were invested in making Canada’s AI hubs? And how Israeli tech companies use their algorithms to profile their Other? Hence, this panel offers to think beyond the Silicon Valley paradigm, and to aim towards a more diverse, culturally-sensitive approach to the study algorithms.

Published
2020-10-05
How to Cite
Kotliar, D. M., Ribak, R., Ahmed, S., Roberge, J., & Senneville, M. (2020). ALGORITHMIC PRODUCTION BEYOND SILICON VALLEY. AoIR Selected Papers of Internet Research, 2020. https://doi.org/10.5210/spir.v2020i0.11134
Section
Panels