Cognitive Privacy and the Architecture of AI-Driven Surveillance

Artificial intelligence has changed surveillance from observation to inference, with systems able to decode emotions, intentions, and beliefs based on behavioral and biometric measurements. The article proposes the concept of cognitive privacy as the right to mental autonomy and to avoid algorithmic manipulation. It explores the inability of current constitutional and statutory structures that were developed in an analog world to deal with inferential harm. It finds legal and normative loopholes in data collection, inference, and governance through the analysis of AI-driven surveillance architecture. To overcome these shortcomings, this paper suggests a four-layered cognitive-privacy protection model that includes sensor boundaries, inference control, interface transparency, and institutional oversight. It concludes that the only way to protect cognitive liberty is to redefine privacy as a control over inference as opposed to secrecy of information that is an indispensable measure towards the maintenance of democratic agency in the era of intelligent surveillance.

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Publication Details

Journal
Global Sociological Review
Published
2025-11-11
DOI
https://doi.org/10.31703/gsr.2025(x-iii).13
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

Cognitive Privacy and the Architecture of AI-Driven Surveillance

Shahzad Khalid, Ahmed Raza, Ali Nawaz Khan
Global Sociological Review
Ethics and Social Impacts of AI
article

Cognitive Privacy and the Architecture of AI-Driven Surveillance

Shahzad Khalid, Ahmed Raza, Ali Nawaz Khan
article en

Abstract

Artificial intelligence has changed surveillance from observation to inference, with systems able to decode emotions, intentions, and beliefs based on behavioral and biometric measurements. The article proposes the concept of cognitive privacy as the right to mental autonomy and to avoid algorithmic manipulation. It explores the inability of current constitutional and statutory structures that were developed in an analog world to deal with inferential harm. It finds legal and normative loopholes in data collection, inference, and governance through the analysis of AI-driven surveillance architecture. To overcome these shortcomings, this paper suggests a four-layered cognitive-privacy protection model that includes sensor boundaries, inference control, interface transparency, and institutional oversight. It concludes that the only way to protect cognitive liberty is to redefine privacy as a control over inference as opposed to secrecy of information that is an indispensable measure towards the maintenance of democratic agency in the era of intelligent surveillance.

Global Sociological ReviewVol. X(III)
University of the Punjab (PK)
Openalex Percentile: Top 66%
Ethics and Social Impacts of AI
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