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Behind the Label: Data Labeling Labours for AI
Manage episode 374314252 series 3499066
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In this episode we discuss data labeling, the intensive work behind the scenes of AI, with Srravya Chandhiramowuli. Through Srravya's expertise, we explore the myth and realities of data labeling, focusing on the demands experienced by workers and on the many competing challenges experienced in meeting them. Our conversation continues by exploring the origins of such demands, delving into the interests of client firms and their impacts on the lives of workers.
Srravya is a PhD candidate at the Centre for Human Computer Interaction Design (HCID) Center at City, University of London. She examines the work practices of data annotation for AI, geopolitics of labour and resources to identify work centric design opportunities and policy interventions.
Resources:
Chandhiramowuli, S., & Chaudhuri, B. (accepted, 2023). “Match made by humans: A critical enquiry into human-machine configurations in data labelling.” In IEEE Proceedings of the 56th Hawaii International Conference on System Sciences (HICSS), Hawaii.
Chandhiramowuli, S., & Chaudhuri, B. (2021). “Politics of Data in & as News: A Data Justice Perspective.” AMCIS 2021 Proceedings. 13.
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