The Intercepted Self: How Generative AI Challenges the Dynamics of the Relational Self

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Schiller, Sandrine R., Signorelli, Camilo Miguel, Stamatiou, Filippos
Formato: Preprint
Publicado: 2025
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866909791695142912
author Schiller, Sandrine R.
Signorelli, Camilo Miguel
Stamatiou, Filippos
author_facet Schiller, Sandrine R.
Signorelli, Camilo Miguel
Stamatiou, Filippos
contents Generative AI is changing our way of interacting with technology, others, and ourselves. Systems such as Microsoft copilot, Gemini and the expected Apple intelligence still awaits our prompt for action. Yet, it is likely that AI assistant systems will only become better at predicting our behaviour and acting on our behalf. Imagine new generations of generative and predictive AI deciding what you might like best at a new restaurant, picking an outfit that increases your chances on your date with a partner also chosen by the same or a similar system. Far from a science fiction scenario, the goal of several research programs is to build systems capable of assisting us in exactly this manner. The prospect urges us to rethink human-technology relations, but it also invites us to question how such systems might change the way we relate to ourselves. Building on our conception of the relational self, we question the possible effects of generative AI with respect to what we call the sphere of externalised output, the contextual sphere and the sphere of self-relating. In this paper, we attempt to deepen the existential considerations accompanying the AI revolution by outlining how generative AI enables the fulfilment of tasks and also increasingly anticipates, i.e. intercepts, our initiatives in these different spheres.
format Preprint
id arxiv_https___arxiv_org_abs_2509_13391
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The Intercepted Self: How Generative AI Challenges the Dynamics of the Relational Self
Schiller, Sandrine R.
Signorelli, Camilo Miguel
Stamatiou, Filippos
Computers and Society
Artificial Intelligence
Generative AI is changing our way of interacting with technology, others, and ourselves. Systems such as Microsoft copilot, Gemini and the expected Apple intelligence still awaits our prompt for action. Yet, it is likely that AI assistant systems will only become better at predicting our behaviour and acting on our behalf. Imagine new generations of generative and predictive AI deciding what you might like best at a new restaurant, picking an outfit that increases your chances on your date with a partner also chosen by the same or a similar system. Far from a science fiction scenario, the goal of several research programs is to build systems capable of assisting us in exactly this manner. The prospect urges us to rethink human-technology relations, but it also invites us to question how such systems might change the way we relate to ourselves. Building on our conception of the relational self, we question the possible effects of generative AI with respect to what we call the sphere of externalised output, the contextual sphere and the sphere of self-relating. In this paper, we attempt to deepen the existential considerations accompanying the AI revolution by outlining how generative AI enables the fulfilment of tasks and also increasingly anticipates, i.e. intercepts, our initiatives in these different spheres.
title The Intercepted Self: How Generative AI Challenges the Dynamics of the Relational Self
topic Computers and Society
Artificial Intelligence
url https://arxiv.org/abs/2509.13391