AI Policy & Safety
The rules and risks shaping AI: regulation, governance, safety, and the drama around them. Concept-first guides so you can see what is really at stake under the noise.
How AI Watermarks Work: Gemini, Claude, and Can You Remove Them?
Invisible watermarks are now baked into the AI content you create every day. Here is how the technology actually works inside Gemini and Claude, what regulators are demanding, and what the honest limits of the system are.
US AI Export Controls: What They Mean for Your AI Stack
The US government has spent the past few years turning export controls into one of the most consequential policy levers in AI. Whether you build with frontier models or run GPU-heavy workloads, understanding how these rules work, and where they are headed, is no longer optional.
The AI Trust Paradox: Usage Surged While Skepticism Grew
More people are using AI than ever before, yet global surveys consistently show trust in the technology is declining. Understanding why these two trends move in opposite directions is one of the most important questions in AI policy today.
What Is AI Regulatory Capture? A Plain-Language Guide
Regulatory capture is an old problem in a new setting: the people writing AI rules increasingly depend on the AI industry to understand what they are regulating. Here is what that means, why it matters, and how to think about what comes next.