[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-a-multi-agent-watchdog-aims-to-police-llm-training-in-real-time":10,"sections":40},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":30,"tags":31,"sources":35,"feedback":39,"feedback_at":22,"cost_usd":39,"total_tokens":39},8921,"a-multi-agent-watchdog-aims-to-police-llm-training-in-real-time","A Multi-Agent Watchdog Aims to Police LLM Training in Real Time","MASCRDM, a new multi-agent system, monitors LLM training in real time for bias and discrimination risk instead of filtering outputs after the fact.","Researchers have built a system of AI agents that watches large language models while they are being trained, not just after.\n\nThe system, called MASCRDM (Multi-Agent System for Compliance Risk Detection and Mitigation), comes from a team describing the approach in a paper posted to arXiv. The researchers first wrote compliance rules drawn from existing AI laws, then built a dedicated compliance-specific LLM, guided by legal experts, to apply those rules. They broke the model under training into components and used a compliance knowledge graph to flag which parts carry the most risk. Multiple agents then monitor those points throughout training, sending alerts and suggestions to developers as problems emerge, rather than waiting for a finished model to misbehave.\n\nThat timing is the real point. Most compliance tooling today checks a model's inputs and outputs after training wraps, a fix that catches symptoms without touching what is happening inside the model. MASCRDM instead treats bias and discrimination as something to watch for continuously while the model is still being shaped, a meaningfully different approach for an industry that mostly treats compliance as a release-day checklist.\n\nThe researchers report better scores on discrimination and bias benchmarks without a meaningful hit to language performance, though a paper's own benchmark numbers are always the easiest ones to improve.","[\"ai\",\"ai-safety\",\"llm-training\",\"compliance\"]","2026-10-01T04:00:00.000Z","2026-10-01T10:55:02.344Z","2026-10-01T10:55:09.060Z","published",null,[24],{"id":25,"reviewer":26,"round":27,"reason":28,"status":29},"editor-r1","editor",1,"Define what the MASCRDM acronym stands for (Multi-Agent System for Compliance Risk Detection and Mitigation) before using it, since the draft cites the name without ever expanding it.","resolved","ai",[30,32,33,34],"ai-safety","llm-training","compliance",[36],{"name":37,"url":38},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.39107",0,{"sections":41},[42,45,50,55,60,65,70,75,80,84,89,94,99,104],{"name":43,"slug":30,"count":44,"latest_published_at":18},"AI",5351,{"name":46,"slug":47,"count":48,"latest_published_at":49},"Security","security",801,"2026-09-30T22:18:23.000Z",{"name":51,"slug":52,"count":53,"latest_published_at":54},"Policy","policy",429,"2026-10-01T02:26:17.000Z",{"name":56,"slug":57,"count":58,"latest_published_at":59},"Deals","deals",298,"2026-09-30T21:00:26.000Z",{"name":61,"slug":62,"count":63,"latest_published_at":64},"Hardware","hardware",196,"2026-09-30T13:00:00.000Z",{"name":66,"slug":67,"count":68,"latest_published_at":69},"Science","science",157,"2026-09-30T15:00:56.000Z",{"name":71,"slug":72,"count":73,"latest_published_at":74},"Consumer Tech","consumer-tech",149,"2026-09-30T22:57:11.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":79},"Dev Tools","dev-tools",93,"2026-10-01T02:30:48.000Z",{"name":81,"slug":82,"count":78,"latest_published_at":83},"Software","software","2026-09-30T21:41:11.000Z",{"name":85,"slug":86,"count":87,"latest_published_at":88},"Startups","startups",84,"2026-09-30T20:39:09.000Z",{"name":90,"slug":91,"count":92,"latest_published_at":93},"Gaming","gaming",51,"2026-09-30T16:24:30.000Z",{"name":95,"slug":96,"count":97,"latest_published_at":98},"General","general",50,"2026-09-30T21:37:54.000Z",{"name":100,"slug":101,"count":102,"latest_published_at":103},"Reviews","reviews",31,"2026-09-28T14:31:34.000Z",{"name":105,"slug":106,"count":107,"latest_published_at":108},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]