The growing use of algorithmic systems by digital labor platforms has transformed employment relations, introducing opaque and automated decision-making in areas such as task allocation, pay, and termination. In response, legal frameworks—particularly in the European Union—have begun to address these challenges through rights to algorithmic transparency and data portability. This paper argues that these two legal instruments, while often treated separately, can function as complementary and mutually reinforcing tools to reduce algorithmic harms in platform-based work. Drawing on the EU Platform Work Directive, the GDPR, the Data Act, and emerging practices such as algorithmic audits and worker data cooperatives, the paper develops a regulatory-technological framework for operationalizing these rights. It shows how the deliberate interplay of legal mandates and technical implementationscanenhanceaccountability, enablec ollective action, and reduce power asymmetries between workers and platforms. The paper concludes with policy recommendations to strengthen enforcement, standardization, and worker participation in algorithmic governance.

Bridging Law and Code in Algorithmic Management: Empowering Worker Rights Through Transparency and Portability

giorgio pedrazzi
2025-01-01

Abstract

The growing use of algorithmic systems by digital labor platforms has transformed employment relations, introducing opaque and automated decision-making in areas such as task allocation, pay, and termination. In response, legal frameworks—particularly in the European Union—have begun to address these challenges through rights to algorithmic transparency and data portability. This paper argues that these two legal instruments, while often treated separately, can function as complementary and mutually reinforcing tools to reduce algorithmic harms in platform-based work. Drawing on the EU Platform Work Directive, the GDPR, the Data Act, and emerging practices such as algorithmic audits and worker data cooperatives, the paper develops a regulatory-technological framework for operationalizing these rights. It shows how the deliberate interplay of legal mandates and technical implementationscanenhanceaccountability, enablec ollective action, and reduce power asymmetries between workers and platforms. The paper concludes with policy recommendations to strengthen enforcement, standardization, and worker participation in algorithmic governance.
2025
HHAI-WS 2025 Proceedings of HHAI 2025 Workshops
Altra università italiana
Davide Dell'Anna, Gizem Gezici, Giulio Rossetti
SH2_11 Social studies of science and technology, science, technology and innovation policies
Inglese
AILS 2025: The First Workshop on AI, Labour and Society
June 9-10, 2025
Pisa (Italy)
Internazionale
ELETTRONICO
4074
33
55
23
CEUR-WS.org
algorithmic management, transparency, data portability, platform work, GDPR, AI regulation, gig economy, worker rights, law and technology
https://ceur-ws.org/Vol-4074/paper2-1.pdf
no
Goal 10: Reduced inequalities
Goal 16: Peace, justice and strong institutions
Goal 9: Industry, Innovation, and Infrastructure
open
Pedrazzi, Giorgio
273
info:eu-repo/semantics/conferenceObject
1
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/638410
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