Section
Bias, privacy, safety and trust.
5 stories
Everything you type into an AI assistant is data someone else stores, at least for a while. This guide explains what chatbots typically keep, how training opt-outs and temporary chats work, what never to paste in, how US privacy law applies, and a five-minute settings checkup for the tools you already use.
AI can now fake a face, a voice or a video convincingly enough to fool most people at a glance. Visual tells help less every year, so this guide focuses on what still works: checking context and sources, verifying through a second channel, family code words, and knowing where to report fakes in the US.
AI is turning up in American schools as tutoring apps, writing feedback tools, teacher planning aids and chatbots students use at home. This parent's guide explains how it is typically used, what federal privacy laws cover, where the real risks are, and the questions worth asking your child's school.
Résumé screeners, chatbot recruiters, one-way video interviews and online assessments increasingly sit between you and a human hiring manager. Here is how these systems typically work, what US anti-discrimination law and a handful of state and city rules say about them, and what you can do as a candidate.
AI systems can treat people unequally even when nobody intends it. This explainer covers where bias enters, from skewed data to flawed goals, real US examples in facial recognition, hiring and healthcare, why 'fair' has several competing definitions, and what organizations and individuals can actually do about it.
