Intelligenza artificiale, oligopoli e rappresentatività: la compromessa eguaglianza costituzionale nell’epoca della digital economy

Authors

  • Carlo Piparo Scuola Superiore dell'Esecuzione Penale - Roma, Casa Circondariale di Ascoli Piceno,Scuola Di Formazione E Aggiornamento Personale Polizia Penitenziaria - Sulmona https://orcid.org/0009-0009-7965-0770

DOI:

https://doi.org/10.54103/2612-6672/31452

Keywords:

artificial intelligence, algorithm, democracy, representation, minorities, equality, oligopolies, digital revolution

Abstract

Artificial Intelligence, Oligopolies, and Representativeness: Compromised Constitutional Equality in the Age of the Digital Economy

The digital economy has ushered in a new era of transformation, reshaping both economic dynamics and the structural fabric of society. Today, Artificial Intelligence emerges as a genuine political force, capable of influencing democratic representation, the distribution of power, and the very quality of social equality. This paper explores the intersection between the rise of digital oligopolies, the predictive logic of algorithms, and the growing crisis of political and social representation, highlighting how AI, rather than mitigating inequalities, risks amplifying and crystallizing them. Through an analysis of dataset biases, informational concentration, decision-making opacity, and the legitimacy deficit of dominant private actors, the paper offers a critical reading of current algorithmic governance. While denouncing the regulatory vacuum surrounding AI, it also emphasizes the active role that civil society, public institutions, and the scientific community can play in reshaping decision-making processes and restoring voice, visibility, and agency to citizens.

Published

2026-05-20

How to Cite

Piparo, C. (2026). Intelligenza artificiale, oligopoli e rappresentatività: la compromessa eguaglianza costituzionale nell’epoca della digital economy. Nuovi Autoritarismi E Democrazie: Diritto, Istituzioni, Società (NAD-DIS), 8(1). https://doi.org/10.54103/2612-6672/31452

Issue

Section

Papers

Categories