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Almeida, F., Junça Silva, A., Lopes, S. L. & Ricardo, S. (2025). Artificial Intelligence (AI), Labor Relations and Human Resource Management. In Challenges and Opportunities in the Artificial Intelligence Era. (pp. 43-60).: Springer.

F. M. Almeida et al.,  "Artificial Intelligence (AI), Labor Relations and Human Resource Management", in Challenges and Opportunities in the Artificial Intelligence Era, Springer, 2025, pp. 43-60

@incollection{almeida2025_1764921088222,
	author = "Almeida, F. and Junça Silva, A. and Lopes, S. L. and Ricardo, S.",
	title = "Artificial Intelligence (AI), Labor Relations and Human Resource Management",
	chapter = "",
	booktitle = "Challenges and Opportunities in the Artificial Intelligence Era",
	year = "2025",
	volume = "",
	series = "",
	edition = "",
	pages = "43-43",
	publisher = "Springer",
	address = "",
	url = "https://link.springer.com/book/10.1007/978-3-031-85272-5"
}

TY  - CHAP
TI  - Artificial Intelligence (AI), Labor Relations and Human Resource Management
T2  - Challenges and Opportunities in the Artificial Intelligence Era
AU  - Almeida, F.
AU  - Junça Silva, A.
AU  - Lopes, S. L.
AU  - Ricardo, S.
PY  - 2025
SP  - 43-60
DO  - 10.1007/978-3-031-85272-5
UR  - https://link.springer.com/book/10.1007/978-3-031-85272-5
AB  - This chapter explores the evolution of human resource management
(HRM), highlighting the shift from an administrative function to a strategic role
driven by technology, culminating in algorithmic management. Algorithmic management, which uses algorithms and artificial intelligence (AI) for workforce-related
decisions, offers advantages such as increased efficiency and data-driven decisions,
but also presents significant challenges, including lack of transparency and dehumanization. The chapter addresses the ethical and legal issues associated with this
practice, including algorithmic biases, privacy concerns, job security, and the impact
on workplace relationships. Ultimately, algorithmic management has the potential
to positively transform labor relations, provided it is implemented responsibly, with
attention to equity, transparency, and respect for workers’ rights.
ER  -