The rapid integration of Embodied Artificial Intelligence (AI) and General-Purpose AI (GPAI) into the workplace is fundamentally disrupting the traditional employer-employee dichotomy. As AI evolves from a passive technological tool into an autonomous third element capable of exercising managerial control, executives and policymakers face unprecedented legal and operational challenges. This paper explores the future of human-centric AI through a four-pillar framework: (i) the emergence of AI as a third element in labor relations; (ii) the shift toward an AI for Good paradigm that treats technology as a reasonable accommodation rather than a mere commodity; (iii) the profound liability paradoxes triggered by algorithmic opacity under the new EU frameworks (PLD and AI Act); and (iv) the urgent need to redesign EU social insurance mechanisms and workers' compensation. To build an enduring AI strategy, organizations must move beyond experimentation and embrace collaborative governance, ensuring that AI-driven productivity does not outpace accountability and Total Worker Health.

Faioli, M., (Abstract) Liability in the Algorithmic Workplace: Embodied AI, Smart PPEs and the Third Element, <<FEDERALISMI.IT>>, 2026; 2026 (20): 134-155 [https://hdl.handle.net/10807/343036]

Liability in the Algorithmic Workplace: Embodied AI, Smart PPEs and the Third Element

Faioli, Michele
2026

Abstract

The rapid integration of Embodied Artificial Intelligence (AI) and General-Purpose AI (GPAI) into the workplace is fundamentally disrupting the traditional employer-employee dichotomy. As AI evolves from a passive technological tool into an autonomous third element capable of exercising managerial control, executives and policymakers face unprecedented legal and operational challenges. This paper explores the future of human-centric AI through a four-pillar framework: (i) the emergence of AI as a third element in labor relations; (ii) the shift toward an AI for Good paradigm that treats technology as a reasonable accommodation rather than a mere commodity; (iii) the profound liability paradoxes triggered by algorithmic opacity under the new EU frameworks (PLD and AI Act); and (iv) the urgent need to redesign EU social insurance mechanisms and workers' compensation. To build an enduring AI strategy, organizations must move beyond experimentation and embrace collaborative governance, ensuring that AI-driven productivity does not outpace accountability and Total Worker Health.
2026
Inglese
Faioli, M., (Abstract) Liability in the Algorithmic Workplace: Embodied AI, Smart PPEs and the Third Element, <<FEDERALISMI.IT>>, 2026; 2026 (20): 134-155 [https://hdl.handle.net/10807/343036]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/343036
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact