The Limits of Artificial Intelligence: Society, Fluidity, and the Question of Human Nature
The Limits of Artificial Intelligence: Society, Fluidity, and the Question of Human Nature
Publish Date: 2025-12-31 01:23:00
Source Domain: countercurrents.org
- The Special Intensive Revision (SIR) of electoral rolls in West Bengal highlights significant socio-legal consequences due to logical discrepancies in voter enumeration that clash with the complexity of society.
- The reliance on AI for managing social complexities is misplaced; human society is fluid, reflexive, and historically situated, which sets limits on its computational model.
- AI’s fixation on stability and identifiable units runs into trouble as human identities and meanings change through various social dynamics.
- The mismatch between AI and the multiplicity of social contexts (such as India’s diverse documentation, relational addresses, and collective identities) reveals a conceptual gap between AI’s computational logic and social ontology.
- AI’s reliance on time snapshots contrasts with the dynamic nature of social life, often translating temporary changes into errors of exclusion.
- Language and meaning are inherently polysemous and socially produced; hence, AI’s statistical associations cannot fully grasp human communication’s complexities.
- AI lacks the ethical framework to navigate social inequalities and may exacerbate existing disparities, while human societies respond and adapt to being monitored.
- The relationship between AI and society is one of productive tension, with AI unable to fully capture the irreducible fluidity and capacity for continuous transformation in human social life.
