Tools for crowdworkers coding data for AI

Saiph Savage and Martha Garcia-Murillo

Chapter 5 in Handbook of Artificial Intelligence at Work, 2024, pp 76-94 from Edward Elgar Publishing

Abstract: The development of AI applications relies on a massive amount of data. However, another type of data needs to be created. This chapter focuses on the people, the so-called crowdworkers who tag, select, identify, and transcribe among many other tasks, making AI possible in wider contexts. It provides an overview of tools for improving the labor conditions of these workers. We discuss two main types of tools: tools for helping crowdwork-ers quantify their labor conditions, especially wages and unpaid labor time, and tools that guide workers on how to develop their skills and increase their wages. These tools overall seek to improve the outcomes of crowdworkers by bringing transparency and also helping workers have better outcomes, e.g., better professional development and wages.

Keywords: Business and Management; Economics and Finance; Innovations and Technology; Politics and Public Policy Sociology and Social Policy (search for similar items in EconPapers)
Date: 2024
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