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Feeding the machine: Practitioner experiences of efforts to overcome AI's data dilemma.

This paper examines the human implications of AI's 'data dilemma' in three different and contrasting sectors: pharmaceuticals, higher education, and the arts. The 'data dilemma' refers to the challenge of obtaining sufficient and suitable data to effectively train AI algorithms. The research, conduc...

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Published in:Big Data & Society Vol. 12; no. 4; pp. 1 - 16
Main Authors: Bates, Jo, Fratczak, Monika, Kennedy, Helen, Perea, Itzelle Medina, Ochu, Erinma
Format: Article
Published: Sage Publications Inc. Dec2025
Subjects:
Artificial intelligence
Data extraction
Drugs
Cultural industries
Higher education
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