The hidden cost of Google’s AI defaults and the illusion of choice
Summary
Ars Technica analyzes how Google's Gemini AI is embedded across the Google ecosystem with privacy controls that are confusing and hard to opt out of. The piece highlights how data can be used for training despite assurances, and how dark patterns and default settings push users toward data sharing. The broader context includes regulatory scrutiny and ongoing debates about AI ethics and consumer privacy.