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Vollständiger Titel
SOCIOLOGIA DEL LAVORO
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Verlag
FrancoAngeli
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ISSN
0392-5048 (Gedruckte Zeitschrift)
1972-554X (Online-Zeitschrift)
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Nummer der Ausgabe
163
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Andere Beschreibung der Ausgabe
163
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Erscheinungsdatum der Ausgabe
2022
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Vollständiger Titel
Learners in the loop: hidden human skills in machine intelligence
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Von (Autor)
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Erste Seite
110
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Letzte Seite
129
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Sprache des Textes
Englisch
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Erscheinungsdatum
2022/08
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Copyright
2022 FrancoAngeli srl
Vorwort
Today's artificial intelligence, largely based on data-intensive machine learning algorithms, relies heavily on the digital labour of invisibilized and precarized humans-in-the-loop who perform multiple functions of data preparation, verification of results, and even impersonation when algorithms fail. Using original quantitative and qualitative data, the present article shows that these workers are highly educated, engage significant (sometimes advanced) skills in their activity, and earnestly learn alongside machines. However, the loop is one in which human workers are at a disadvantage as they experience systematic misrecognition of the value of their competencies and of their contributions to technology, the economy, and ultimately society. This situation hinders negotiations with companies, shifts power away from workers, and challenges the traditional balancing role of the salary institution.
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