Processes of Algorithmic Semiosis and Artificial Intelligence. Instruments to Guide Policies on Digital Competences from a Gender Perspective.
The research explores the intersection of algorithmic semiosis, artificial intelligence (AI), and gender perspectives in the context of digitalization processes and the dissemination of skills at the regional level.
It seeks to delve into the production of meanings within algorithmic systems, investigating how AI encodes and decodes information and texts. Simultaneously, it analyzes the contexts of digital skills dissemination, particularly in relation to Big Data and AI themes, with the aim of highlighting the ways in which gender stereotypes persist in digital environments.
One of the main outcomes of the research is the development of instruments and interpretation keys that facilitate a gender-sensitive approach in formulating policies in the field of digital skills. In its first year of implementation, the research project, co-funded by ART-ER S. con. p.a., has indeed been embedded into a valorization and scientific framing action for "Integrated Actions for the Dissemination of Digital Skills in Emilia Romagna," as per resolution no. 1608/2022.
Another focus of the research aims to understand, from a semiotic perspective, how AI systems generate and interpret meanings and values. This also involves reference to the theoretical apparatus of differential heterogenesis (Sarti, Citti, Piotrowski, 2022), capable of formalizing the relationship between the content plane and the expression plane, as well as exemplifying the mediation steps among modes of existence, as described by the theory of impersonal and evenemential enunciation (Paolucci, 2020).
The methodology adopts a multidisciplinary approach, encompassing semiotics, philosophy of information, social research, and gender studies. Data collection includes the analysis of large-scale datasets, algorithmic profiling, and the impact assessment of interventions aimed at the dissemination of digital skills.