Call for Paper and Submission. Year 5 No. 1/April, 2025
Human-centric approach to Artificial Intelligence
The Call Human-centric approach to Artificial Intelligence aims to bring together studies and reflections on the potential and risks of Artificial Intelligence (AI) developments. Artificial Intelligence (AI) is a very generic and broad concept encompassing various specific technologies, such as machine learning, neural networks and deep learning, applied to different fields of research, experimentation and scientific activities (from medicine to education, engineering to finance, etc.).
Recent discussions on the possibility of somewhat unexpected or 'emergent' outcomes associated with AI have to do mainly with generative AI, with deep learning in neural networks (inspired by the structure of the human brain), as these refer to generic structures that do not incorporate predetermined rules or decision trees (or other tools such as genetic algorithms) but have to be trained on consistent data sets to eventually produce appropriate results (Higuera 2023).
The likelihood that incomplete and distorted information, fake news, and misinformation can backfire, producing a “magnification” effect through generative AI, can be unpredictable. Some, such as historian Yuval Noah Harari, believe that AI poses a danger because, by appropriating language and the ability to create stories, it could “hack” human civilisation and lead to its destruction (Harari 2023).
The public and institutional discourse on these issues poses important questions to national and supranational legislation by reigniting the debate between preventive security needs, privacy rights, and risks of mass public surveillance. The growing expectations on artificial intelligence go hand in hand with a reduction of trust in human rationality, judged to be prey to emotions or 'weak thinking'- a 'limited rationality' incapable of dealing with complex situations (Ardigò 1988).
Starting from these premises, the Call Human-centric approach to Artificial Intelligence intends to stimulate a reflection on the challenges and risks in the developments of artificial intelligence, starting from a central question that guides the reasoning on these issues: what are the limits for its ecological and human sustainability? Therefore, the academic community is invited to submit contributions aimed at investigating, from an inter-, multi- and trans-disciplinary perspective, the ethical, social, cultural and economic implications for human security related to AI developments and applications, as well as the transformations and impacts on society, in particular on educational institutions, to safeguard the freedom and well-being of individuals and communities.
