This research study analyzes the behavior of Gen-Alpha and Gen-Z regarding the use of AI, two generations in which technology becomes an integral part of life and a tool capable of promoting a sustainable future. The core objective of the authors’ study is to analyze the human–AI interaction era, specifically how AI as a decision-making agent influences work and daily life across these generations and particularly whether there are significant intergenerational changes. By examining these generations' understanding of AI, the research study provides a comprehensive understanding of AI as an important companion in both practical and intellectual human activities. Moreover, the study explores how AI's role is primarily focused on reducing the gap not between generations but between those who are technologically proficient and those who are less technologically savvy. The study employs a qualitative methodology involving semi-structured interviews across diverse Italian regions with participants aged 12–25, aiming to capture a granular understanding of generational perceptions and usage of AI. This approach which includes a geographically diverse and gender-balanced sample ensures an unbiased analysis, revealing how younger individuals perceive and interact with AI technologies. In doing so, the study seeks to offer insights into current engagement with AI among younger individuals and propose ways to optimize AI systems for broader adoption and effectiveness. Finally, the chapter not only contributes to academic discussions on future digital experiences but also sheds lights on the concept of technological democratization, underscoring how Generative Artificial Intelligence (GenAI) addresses the critical need for inclusive technologies that cater to the diverse needs of all societal segments.

From Zeta to Alpha: How AI Is Transforming Generational Interactions

Giuseppe Lanfranchi
;
Antonio Crupi
In corso di stampa

Abstract

This research study analyzes the behavior of Gen-Alpha and Gen-Z regarding the use of AI, two generations in which technology becomes an integral part of life and a tool capable of promoting a sustainable future. The core objective of the authors’ study is to analyze the human–AI interaction era, specifically how AI as a decision-making agent influences work and daily life across these generations and particularly whether there are significant intergenerational changes. By examining these generations' understanding of AI, the research study provides a comprehensive understanding of AI as an important companion in both practical and intellectual human activities. Moreover, the study explores how AI's role is primarily focused on reducing the gap not between generations but between those who are technologically proficient and those who are less technologically savvy. The study employs a qualitative methodology involving semi-structured interviews across diverse Italian regions with participants aged 12–25, aiming to capture a granular understanding of generational perceptions and usage of AI. This approach which includes a geographically diverse and gender-balanced sample ensures an unbiased analysis, revealing how younger individuals perceive and interact with AI technologies. In doing so, the study seeks to offer insights into current engagement with AI among younger individuals and propose ways to optimize AI systems for broader adoption and effectiveness. Finally, the chapter not only contributes to academic discussions on future digital experiences but also sheds lights on the concept of technological democratization, underscoring how Generative Artificial Intelligence (GenAI) addresses the critical need for inclusive technologies that cater to the diverse needs of all societal segments.
In corso di stampa
978-1-83549-106-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3336014
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