Trevor Paglen Warns AI Images Erode Shared Reality in New 1-Book Critique
Updated
Updated · Gizmodo · Jun 28
Trevor Paglen Warns AI Images Erode Shared Reality in New 1-Book Critique
3 articles · Updated · Gizmodo · Jun 28
Summary
Trevor Paglen’s new book argues AI-generated images and chatbot interactions are reshaping perception by replacing human-made representation with systems optimized to capture attention and harvest data.
Paglen says those systems are not neutral: training data carries human bias, while every click, prompt and view feeds algorithms more information about users’ preferences, emotions and vulnerabilities.
Drawing on Cold War psyops, stage magic and recent “AI psychosis” cases, he argues modern AI reflects users’ beliefs back at them at personalized scale, making subtle manipulation widely accessible.
Microsoft, Google and Apple are embedding AI ever more deeply into daily devices and services, which Paglen says makes privacy a deliberate act of resistance rather than a default condition.
The book frames the broader risk as the commercialization and securitization of nearly every moment of life, urging people to understand machine vision before it defines reality for them.
Is AI an engine for human progress or is it becoming the ultimate machine for mind control?
Beyond personal 'opting out,' what systemic changes can break AI's cycle of surveillance and commodification?
As AI amplifies psychosis and personal delusions, how can society prevent a widespread mental health crisis?
The Indexical Flip and the Slop Era: Navigating AI’s Impact on Image Trust, Legal Evidence, and Social Cohesion (2026)
Overview
Trevor Paglen’s 2026 book, How to See Like a Machine: Images After AI, warns that AI-generated images have caused a major shift in how we trust visual media. He introduces the 'indexical flip,' showing that people no longer see photographs as direct evidence of reality. Instead, audiences now approach images with skepticism, demanding proof of authenticity. This change is driven by the rise of powerful AI tools that make it easy to create convincing fake images. As a result, the burden of proof has shifted—images are now presumed false until proven true, deeply affecting public trust and our shared sense of reality.