Kotliar, Dan M.; Ribak, Rivka; Ahmed, Shazeda; Roberge, Jonathan 
ORCID: https://orcid.org/0000-0001-9282-5218 et Senneville, Marius
.
Algorithmic production beyond Silicon Valley
In: The 21st Annual Conference of the Association of Internet Researchers, 27-31 octobre 2020, En ligne.
Résumé
The last decade has seen a proliferation of research on algorithms. Algorithms were shown to influence the content we see online (Gillespie 2018), our chances of getting a job or a loan (Pasquale 2013), our relationships with our friends, colleagues or bosses (Bucher 2018), and even how we express and understand ourselves (Turow and Couldry 2018). Algorithms were also shown to affect our identities (Cheney-Lippold 2017), our choices (Yeung 2017), and our autonomy (Rouvroy 2013), and to mirror, and at times exacerbate social inequalities (Noble 2018; Benjamin 2019; Buolamwini and Gebru 2018; Eubanks 2018). At the same time, scholars have begun to examine the ties between algorithms and culture (Seaver 2017; Christin 2018; Ribak 2019; Seyfert and Roberge 2016), describing algorithms as products of complex socioalgorithmic assemblages (Gillespie 2016, 24), with often very local socio-technical histories (Kitchin 2017, 16; Seaver 2017). However, while the power of algorithms is becoming unmistakable, the spatial trajectories through which algorithms operate, and the specific socio-cultural contexts in which they arise have been largely overlooked. That is, research overwhelmingly focuses on American companies (and particularly, on a handful of Silicon Valley companies) and on the effects their algorithms have on Euro-American users. But algorithms are in fact being developed in various geographical locations, and they are being used in highly diverse socio-cultural contexts. Moreover, companies, engineers, and even algorithms themselves often move from one geographic location to the next. That is, research on algorithms tends to disregard the heterogeneous contexts in which algorithms arise, the spatial aspects of algorithmic production, and the effects various cultural settings have on the production of algorithmic systems. Focusing on case studies from China, Israel, and Canada, we will ask: How do developers view information privacy at the intersection of local and global flows of ideas? How cultural identities and cross-cultural encounters construct notions of privacy? How is algorithmic bias and discrimination understood and acted upon in China? What symbolical and material resources were invested in making Canada’s AI hubs? And how do Israeli tech companies use their algorithms to overlook culture and profile their “Others”? Focusing on algorithmic production across three continents, this panel offers to think beyond the paradigm of Silicon Valley, and to aim towards a more nuanced, culturally sensitive approach to the study algorithms.
| Type de document: | Document issu d'une conférence ou d'un atelier |
|---|---|
| Mots-clés libres: | algorithme; identité culturelle; intelligence artificielle; Chine; Canada; Israel |
| Centre: | Centre Urbanisation Culture Société |
| Date de dépôt: | 02 févr. 2022 18:27 |
| Dernière modification: | 02 févr. 2022 18:27 |
| URI: | https://espace.inrs.ca/id/eprint/12185 |
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