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Working with Machine Learning/Artificial Intelligence systems: workers’ viewpoints and experiences

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Abstract

The recent developments of Artificial Intelligence (AI) have raised several social issues, especially about the consequences of the deployment of AI systems on work. This paper aims to discuss those issues in light of literature and an ongoing empirical study. Drawing on a qualitative method, this study explores workers’ viewpoints on and/or experiences of AI systems in different work situations. We organize our findings according to five dimensions: place and usage of Machine Learning/Artificial Intelligence (ML/AI) systems in work settings; “relationship” between ML/AI systems and workers; explainability; trust; and transformations of work. For each dimension, we examine workers’ viewpoints and experiences, in the light of recent “gray” literature and on previous ergonomics literature on automation and AI.
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hal-03211871 , version 1 (29-04-2021)

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Tamari Gamkrelidze, Moustafa Zouinar, Flore Barcellini. Working with Machine Learning/Artificial Intelligence systems: workers’ viewpoints and experiences. ECCE 2021: European Conference on Cognitive Ergonomics 2021, European Association of Cognitive Ergonomics, Apr 2021, Siena, Italy. pp.1-7, ⟨10.1145/3452853.3452876⟩. ⟨hal-03211871⟩
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