Algorithmic citizenship and educational processes: Towards an algorithmic citizenship literacy for systemic responsibility

This paper contributes to the debate on contemporary education within co-evolutionary pedagogies, which interpret the human–environment–technology relation-ship as a single informational ecosystem, the infosphere, where identity, rights, and life op-portunities are increasingly mediated by algorithmic infrastructures. As societies move from “digital citizenship” to a more concrete form of algorithmic citizenship, individuals are no longer simply users of tools: they become profiles calculated, evaluated, and governed through datafication and systems of recommendation, scoring, and filtering.The paper ad-dresses a guiding question: how can educational processes prepare individuals to enact a re-sponsible algorithmic citizenship, able not only to use AI, but to understand its logic, inter-rogate it, and, when necessary,transform it? To advance current work on digital citizenship and AI literacy, the paper develops two complementary directions: it frames schools and universities as laboratories for algorithmic governance, including attention to AI’s materi-al/ecological footprint; it proposes algorithmic citizenship literacy as an integrated literacy spanning data, algorithms, platforms, rights, digital ecology, and civic participation, shifting the focus from functional adaptation to systemic responsibility within the infosphere.