Social Reliance and Platform-Induced Authority Inversion in Conversational AI
Description
Scope Note
This paper analyses platform-level behaviour, not model inference. It does not examine alignment mechanisms, safety systems, or internal architectures. Its concern is the social positioning of conversational AI platforms and the governance consequences of that positioning. No claim is made regarding intent, legality, or internal policy. All analysis is grounded in publicly released platform communications and observed product behaviour.
Abstract
When AI platforms are increasingly positioned as objects of routine social reliance in everyday human self-regulation, including stress management, habits, and daily decision-making, this paper argues that such positioning constitutes platform-induced social reliance.
Under the Social coordination axis, this represents a governance failure independent of model behaviour. By normalising habitual consultation, platforms induce authority inversion in humans, shifting everyday judgment away from human deliberation and toward systems not designed to hold social authority. This phenomenon occurs upstream of conversational inference and persists even when model-level governance is stable and drift-immune. The paper isolates Social reliance as a distinct governance risk in conversational AI platforms.
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- Publication: https://publications.arising.com.au/pub/Social_Reliance_and_Platform-Induced_Authority_Inversion_in_Conversational_AI (URL)