The Smart Glasses See Everything. The Workers in Kenya Do Too.

· Source: Data Science on Medium · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy · Depth: Novice, long

Summary

A 2026 Swedish investigation, published by "Svenska Dagbladet" and "Göteborgs-Posten", exposed systemic digital surveillance through Meta Ray-Ban smart glasses, revealing that Kenyan contractors from Sama in Mombasa Road reviewed intimate user footage, including undressing, private moments, and financial details, to train AI. Despite "opt-out" settings, all device interactions routed through Meta's European servers. Meta subsequently terminated its Sama contract, firing over 1,100 workers. The article further details how companies like Oracle, through its Acxiom division, compiled profiles on over 3 billion people, settling a class-action lawsuit for \$115 million in November 2024. Google also faced multiple lawsuits, settling for \$400 million in 2022 and \$425 million in 2025, for tracking users in "Incognito" mode and after disabled location features. This pervasive data collection, the article argues, now extends beyond advertising to training Large Language Models, effectively harvesting user consciousness to build synthetic intelligence.

Key takeaway

For individuals concerned about digital privacy and data autonomy, recognize that pervasive surveillance extends beyond advertising to training advanced AI models. Your digital footprint is actively harvested to build synthetic intelligence, making "opt-out" increasingly difficult. You should proactively implement graduated resistance strategies, starting with browser extensions like uBlock Origin and switching to encrypted services like Signal and ProtonMail, to reclaim agency over your personal data.

Key insights

Digital surveillance by Big Tech is systemic, pervasive, and evolving from ad targeting to AI training, making privacy functionally impossible.

Principles

Method

Graduated resistance involves reducing exposure with browser extensions and encrypted services, hardening defenses with VPNs and secure OS, and exiting walled gardens.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Ethicist, Legal Professional, General Interest

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Editorial summary, takeaway, and curation by AIssential. Original article published by Data Science on Medium.