Toward a social theory of Human-AI Co-creation: Bringing techno-social reproduction and situated cognition together with the following seven premises

Abstract

This article synthesizes the current theoretical attempts to understand human-machine interactions and introduces seven premises to understand our emerging dynamics with increasingly competent, pervasive, and instantly accessible algorithms. The hope that these seven premises can build toward a social theory of human-AI cocreation. The focus on human-AI cocreation is intended to emphasize two factors. First, is the fact that our machine learning systems are socialized. Second, is the coevolving nature of human mind and AI systems as smart devices form an indispensable part of our cognitive scaffolds, thus, shaping how we perceive the world and ourselves. The seven premises include: primacy of social structures; human’s desire for freedom and autonomy; AI systems will form inseparable parts of our cognitive/affective scaffolds and can change our self-understanding; philosophy and humanistic foundations on human flourishing as a guide to human-AI interaction; mindsponge information-filtering process; acculturative process of how values change and emerge from human-AI interaction; overlapping Venn diagram of the human-human, human-nature, and human-machine interactions. This article concludes with a discussion on human agency in our entanglements with socialized machines and the illusoriness of the Cartesian agent view of the mind.

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References found in this work

Mindsponge Theory.Quan-Hoang Vuong - 2023 - Warsaw, Poland: Walter de Gruyter GmbH.
The extended mind.Andy Clark & David J. Chalmers - 1998 - Analysis 58 (1):7-19.
A theory of human motivation.A. H. Maslow - 1943 - Psychological Review 50 (4):370-396.
Interoceptive inference, emotion, and the embodied self.Anil K. Seth - 2013 - Trends in Cognitive Sciences 17 (11):565-573.
A taxonomy of cognitive artifacts: Function, information, and categories.Richard Heersmink - 2013 - Review of Philosophy and Psychology 4 (3):465-481.

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