<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>AI Affect</title><link>https://rtad.app/aiaffect</link><description>Artificial intelligence. Human consequences.</description><language>en</language><item><title>Will AI replace your job? Start with tasks, not titles</title><link>https://rtad.app/aiaffect/will-ai-replace-jobs-tasks-not-titles/</link><guid>https://rtad.app/aiaffect/will-ai-replace-jobs-tasks-not-titles/</guid><description>A practical way to assess AI exposure at work, understand the evidence, and identify useful skills without relying on job-loss predictions.</description><pubDate>Mon, 26 Oct 2026 09:00:00 GMT</pubDate></item><item><title>Who benefits from AI productivity gains?</title><link>https://rtad.app/aiaffect/who-benefits-from-ai-productivity/</link><guid>https://rtad.app/aiaffect/who-benefits-from-ai-productivity/</guid><description>Faster work does not automatically mean higher pay. Understand how AI gains can reach workers, customers, business owners and technology suppliers.</description><pubDate>Mon, 26 Oct 2026 09:00:00 GMT</pubDate></item><item><title>What skills should you learn in the AI age?</title><link>https://rtad.app/aiaffect/skills-to-learn-in-the-ai-age/</link><guid>https://rtad.app/aiaffect/skills-to-learn-in-the-ai-age/</guid><description>A practical learning approach built around subject knowledge, evidence checking, problem framing and using AI without outsourcing understanding.</description><pubDate>Mon, 26 Oct 2026 09:00:00 GMT</pubDate></item><item><title>Deepfakes and trust: verify the claim, not just the pixels</title><link>https://rtad.app/aiaffect/deepfakes-and-trust/</link><guid>https://rtad.app/aiaffect/deepfakes-and-trust/</guid><description>A practical guide to checking synthetic media, voice impersonation and misleading context without treating an AI detector as a verdict.</description><pubDate>Mon, 26 Oct 2026 09:00:00 GMT</pubDate></item><item><title>What is AGI, and what would count as evidence?</title><link>https://rtad.app/aiaffect/what-is-agi/</link><guid>https://rtad.app/aiaffect/what-is-agi/</guid><description>Understand artificial general intelligence by separating capability, breadth, reliability and autonomy—and keeping predictions distinct from demonstrations.</description><pubDate>Mon, 26 Oct 2026 09:00:00 GMT</pubDate></item><item><title>AI chatbot privacy: what to check before you share</title><link>https://rtad.app/aiaffect/ai-chatbot-privacy/</link><guid>https://rtad.app/aiaffect/ai-chatbot-privacy/</guid><description>A practical framework for deciding what information an AI service needs, which account controls to check, and when to use an approved alternative.</description><pubDate>Mon, 26 Oct 2026 09:00:00 GMT</pubDate></item><item><title>How to check AI answers before you rely on them</title><link>https://rtad.app/aiaffect/how-to-check-ai-answers/</link><guid>https://rtad.app/aiaffect/how-to-check-ai-answers/</guid><description>A practical workflow for checking AI-generated claims, citations and calculations, with a worked example and a reusable verification record.</description><pubDate>Mon, 26 Oct 2026 09:00:00 GMT</pubDate></item><item><title>How to use AI for studying without skipping the learning</title><link>https://rtad.app/aiaffect/how-to-use-ai-for-studying/</link><guid>https://rtad.app/aiaffect/how-to-use-ai-for-studying/</guid><description>Build an AI study session around your own attempts, targeted hints and an independent check of what you can explain without assistance.</description><pubDate>Mon, 26 Oct 2026 09:00:00 GMT</pubDate></item><item><title>Will AI change your work? Start with a task audit</title><link>https://rtad.app/aiaffect/ai-work-task-audit/</link><guid>https://rtad.app/aiaffect/ai-work-task-audit/</guid><description>Map a normal working week, identify where AI might help, and compare total time and quality in a small, permitted trial.</description><pubDate>Mon, 26 Oct 2026 09:00:00 GMT</pubDate></item></channel></rss>