The New Digital Technologies and Discrimination, Surveillance, and Fragmentation in Labor

Abstract

The purpose of this study is to analyze about new risks that new digital technologies such as big data and artificial intelligence, the Internet of Things can happen with the introduction of the labor process. Furthermore, this study suggests the public use of technology as an alternative to the new risks posed by capitalist use of technologies. The results of the analysis are as follows: First, as shown in the AI interview case, the automated decision making of the algorithm prioritizes objectivity, fairness, and transparency, but cannot be freed from criticisms that deepen social discrimination such as race, gender, and education, and strengthen confirmatory bias. Second, as a new technology device that improves work convenience, mobile devices are rapidly being introduced into the labor process, but they are also used as a new type of data monitoring that can visualize each worker’s behavior as data. Third, the new scheduling program using the big data algorithm can discover the tendency to fragment workers’ rest and part into the state bound by the algorithm. Lastly, new digital technologies used in capitalism are making the work extremely flexible, emphasizing democratic intervention in technology design as an alternative.

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