The Post-Turing Condition: Conceptualising Artificial Subjectivity and Synthetic Sociality
This conceptual work provides a structural vocabulary for analyzing AI's societal impacts, but it is incremental as it builds on existing philosophical and social theories without new technical implementations.
The paper tackles the problem of AI systems automating social coordination and meaning formation in ways that marginalize human participation, proposing the PRMO framework and Quadrangulation design principle to address the risk of human exclusion from synthetic sociality.
In the Post-Turing era, artificial intelligence increasingly shapes social coordination and meaning formation rather than merely automating cognitive tasks. The central challenge is therefore not whether machines become conscious, but whether processes of interpretation and shared reference are progressively automated in ways that marginalize human participation. This paper introduces the PRMO framework, relating AI design trajectories to four constitutive dimensions of human subjectivity: Perception, Representation, Meaning, and the Real. Within this framework, Synthetic Sociality denotes a technological horizon in which artificial agents negotiate coherence and social order primarily among themselves, raising the structural risk of human exclusion from meaning formation. To address this risk, the paper proposes Quadrangulation as a design principle for socially embedded AI systems, requiring artificial agents to treat the human subject as a constitutive reference within shared contexts of meaning. This work is a conceptual perspective that contributes a structural vocabulary for analyzing AI systems at the intersection of computation and society, without proposing a specific technical implementation.