Ethical ambiguity and complexity: tech workers’ perceptions of big data ethics in China and the US

Abstract

Despite extensive studies on ethical data use and algorithms, little is known about the ethical perspectives of tech workers – insiders of a profession that heavily relies on data and algorithms. Nor have there been sufficient cross-national comparisons of their perspectives. Relying on interviews with 98 tech workers in China and the US, this paper is guided by two questions: (1) What are tech workers' perceptions of big data ethics, and (2) what are the cross-national similarities and differences in China and the US? The study found that there are cross-national similarities in tech workers’ cautious enthusiasm about the applications of big data in their work, as well as in their complex and ambivalent ethical perspectives on the use of big data in government digital surveillance. The main cross-national differences occur in tech workers’ perceptions of whether big data may reinforce social inequalities. US-based tech workers are concerned about the reinforcement of race and gender-based inequalities through the use of big data, whereas their colleagues in China are optimistic that the use of big data may reduce income-based inequalities across geographical regions. The study's findings have implications for how to leverage tech workers’ influence and promote the ethical use of data and algorithms.

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