Vai al contenuto principale Vai in fondo alla pagina

AIS

2025/28

Indice

AIS - 2025/28

Participant observation and evaluative thinking: the case of an Italian software house

The application of Artificial Intelligence (AI) to an ever-increasing number of sectors lays the foundation for evaluating the social implications of AI systems. This article presents research within an Italian software house developing an AI system that combines the ethnographic approach with evaluative thinking. This work aims to understand the practices implemented by developers and their willingness to co-design a framework for evaluating the AI system. The research was conducted through both on-site and remote participation in software house activities to collaboratively develop a shared understanding of AI systems. The research findings underscored the benefits of the ethnographic approach to achieving effective continuous interaction and orienting the co-design of the evaluation framework. 

Keywords: Ethnography, Evaluative thinking, Artificial Intelligence, Participant observation

DOI: 10.82031/2281-2652-202528-3

Pagine 49-72

L'ACCESSO A QUESTO CONTENUTO E' RISERVATO AGLI UTENTI ABBONATI

Sei abbonato? Esegui l'accesso oppure abbonati.