This study analyzes Artificial Intelligence (AI) as a socio-technical infrastructure shaping organizational systems and Human Resource Management. Focusing on Machine Learning, it highlights both the opportunities of AI in improving efficiency and the risks related to algorithmic bias and gender inequality. The research concludes that responsible AI adoption requires the integration of technological innovation, ethical governance, and organizational accountability.
Artificiale troppo Umano. Dall'equità alla correttezza algoritmica come presupposto di una nuova forma di Machine Learning / Cosmo, Nunzia. - (2026 Apr 21).
Artificiale troppo Umano. Dall'equità alla correttezza algoritmica come presupposto di una nuova forma di Machine Learning
Nunzia CosmoWriting – Original Draft Preparation
2026-04-21
Abstract
This study analyzes Artificial Intelligence (AI) as a socio-technical infrastructure shaping organizational systems and Human Resource Management. Focusing on Machine Learning, it highlights both the opportunities of AI in improving efficiency and the risks related to algorithmic bias and gender inequality. The research concludes that responsible AI adoption requires the integration of technological innovation, ethical governance, and organizational accountability.File in questo prodotto:
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