Vedi metadata
Cite as
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Titolo completo
SOCIOLOGIA DEL LAVORO
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Editore
FrancoAngeli
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ISSN
0392-5048 (Rivista Stampata)
1972-554X (Rivista Online)
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Numero del fascicolo
163
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Designazione del fascicolo
163
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Data del fascicolo
2022
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Titolo completo
Learners in the loop: hidden human skills in machine intelligence
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Di (autore)
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Prima Pagina
110
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Ultima Pagina
129
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Lingua del testo
Inglese
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Data di publicazione
2022/08
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Copyright
2022 FrancoAngeli srl
Introduzione o prefazione
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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