Monica Di Domenico, Giuseppina Rita Mangione, Elsa Maria Bruni


This work dissects how the ascendant role of artificial intelligence (AI) and algorithms in adjudicating rights and citizenship status is leading to the burgeoning complexity of contemporary citizenship’s concept. Consequently, a new kind of citizenship is shaped by digital interactions mediated by algorithms: the "Algorithmic Citizenship". The analysis delves into the threat of algorithmic discrimination, a phenomenon where biased or incomplete training data within algorithms exacerbates historical inequalities and injustices. Furthermore, the risk of "algorithmic historical revisionism" is introduced, underscoring how algorithms can distort our common understanding of the past by presenting skewed historical information. The work emphasizes the importance of transparency and explainability in algorithms to enable users to comprehend the rationale behind algorithmic decisions and the data used in their formulation. It examines the intricate challenges posed by the opacity of certain AI algorithms, often referred to as "black boxes," pointing out the need for transparent decision-making processes, especially in domains demanding clear explanations.


Algorithmic Citizenship, Artificial Intelligence, Bias, Education, Critical Thinking

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Italian Journal of Health Education, Sports and Inclusive Didactics 
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