The passage of China’s national cybersecurity law in June 2017 has been interpreted as an unprecedented impediment to the operation of foreign firms in the country, with its new requirements for data localization, network operators’ cooperation with law enforcement officials, and online content restrictions, among others. Although the law’s scope is indeed broader than that of any previous regulation, the process through which it was drafted and eventually approved bears similarities to three previous cases from the past two decades of Chinese information technology policy-making. In comparing these four cases, we argue that economic concerns have consistently overshadowed claims of national security considerations throughout laws directed at foreign enterprises.
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.
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