Engineering Trust, Creating Vulnerability: A Socio-Technical Analysis of AI Interface Design
Ben Kereopa-Yorke

TL;DR
This paper explores how AI interface design fosters new interdisciplinary cultures and vulnerabilities by merging technical, psychological, and social elements, revealing four key vectors of cognitive security risks.
Contribution
It introduces the IMCS framework to analyze how AI interfaces act as boundary objects that generate new research cultures and vulnerability vectors across disciplines.
Findings
Identification of four vulnerability vectors: Reflection Simulation, Authority Modulation, Cognitive Load Exploitation, Market-Security Tension.
Demonstration of interfaces as sites of epistemological collision and methodological pressure.
Empirical analysis across multiple domains showing how interdisciplinary integration occurs culturally, not just methodologically.
Abstract
This paper examines how distinct cultures of AI interdisciplinarity emerge through interface design, revealing the formation of new disciplinary cultures at these intersections. Through the Interface-Mediated Cognitive Security (IMCS) framework, I demonstrate how the collision of cybersecurity engineering, cognitive psychology, critical technology studies, and human-computer interaction generates research cultures that transcend traditional disciplinary boundaries. AI interfaces function as transformative boundary objects that necessitate methodological fusion rather than mere collaboration, simultaneously embodying technical architectures, psychological design patterns, and social interaction models. Through systematic visual analysis of generative AI platforms and case studies across public sector, medical, and educational domains, I identify four vulnerability vectors, Reflection…
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