Original Summary

I shared Rouge Atlas here a little while ago, and since then the project has changed quite a lot. The biggest change is the interface, but also the way the product itself is structured. Rouge Atlas is now built around an evidence workspace for AI incidents , rather than a map-first experience. The goal is to make it easier to separate actual published incidents from early signals, vulnerability advisories and unverified reports. What changed The new overview is now an Evidence Board showing: published AI incidents signals currently under review vulnerability advisories source health activity over time records by category recent AI incident reporting I also split the workflow into clearer sections: Live signals Automatically collected reports and potential incidents that still need editorial review. Published incidents Records that have been reviewed and linked to source material. Data sources A view of the feeds and sources currently being monitored. Methodology Documentation explaining how signals are collected, reviewed and classified. One thing I wanted to improve was transparency. A signal appearing in Rouge Atlas does not automatically mean it is a confirmed AI incident. Signals, advisories and published incidents are deliberately kept separate, and relevance/confidence indicators are meant to describe the available evidence rather than make dramatic claims about an event. UI redesign The interface has also been rebuilt around a much denser research/workspace layout: persistent navigation global record search dataset counters activity charts category breakdowns recent incident reporting source/backend health indicators CSV export for published records clearer status labels throughout the product The idea is for Rouge Atlas to feel less like a visual experiment and more like a small AI incident intelligence database that you could actually use to investigate what is happening. It’s still early and the dataset is obviously small, but the structure is much closer to what I originally wanted the project to become. I’d particularly like feedback on the new UI: Does it make the distinction between signals, advisories and published incidents clear enough? And more generally: What would you expect from an AI incident intelligence platform like this? https://www.rougeatlas.com   submitted by   /u/Dramatic-Project-340 [link]   [comments]

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/6 16:01:20