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If AI creates it, who signs it? Exploring Human-AI Collaborations and Perceptions of Ownership
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Orientador(es)
Resumo(s)
Artificial Intelligence is increasingly part of our lives, and with the growing use of technologies
such as Generative AI, it is especially important to understand and study human-AI
interactions. While past studies have analyzed the broader impact of Generative AI in different
areas, few have explored how people’s emotional responses to AI-generated work shape their
perception on who created it and who owns it. The purpose of this study is to analyze the
relationship between the utility of Generative AI (utilitarian or meaningful) with the user sense
of ownership over the AI-generated work, through the emotional attachment a user forms
with that content. An experimental study was conducted through an online questionnaire
using two initial conditions, one condition being a utilitarian Generative AI utility (cake recipe),
and the other being meaningful Generative AI utility (personal letter). These conditions were
made to assess whether the two different types of utility lead to different emotional
attachments with the Generative AI outputs and if consequently that affects the user’s sense
of ownership. The results obtained evidence that emotional connection can be a significant
predictor of the sense of ownership, meaning that users that felt more emotionally connected
with the resulted work, felt a stronger sense of ownership over it. However, the findings
support that the emotional connection does not mediate the relationship between Generative
AI utility and the user sense of ownership over the resulted work. Finally, this research
contributes to highlighting the importance of studies on human-AI interactions, as they serve
as a foundation for advancing most different technologies across various fields. Understanding
this type of interactions it’s an important piece for creating AI systems that are effective, safe,
and designed with user’s needs in mind.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Marketing Intelligence
Palavras-chave
AI Generative AI Ownership AI Utility Human-AI Interaction SDG 9 - Industry, innovation and infrastructure SDG 17 - Partnerships for the goals