[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-study-finds-more-detail-makes-ai-judges-reject-good-work":10,"sections":35},{"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":24,"tags":25,"sources":30,"feedback":34,"feedback_at":22,"cost_usd":34,"total_tokens":34},6604,"study-finds-more-detail-makes-ai-judges-reject-good-work","Study Finds More Detail Makes AI Judges Reject Good Work","A study of five AI overseers finds detailed procedural traces don't make them easier to fool - they make them more likely to wrongly reject correct work.","More detail in an AI system's work log doesn't make an AI overseer easier to fool - it makes it more likely to reject work that's actually fine.\n\nResearchers tested five large language models acting as overseers - AI systems that check another AI's compliance work - across 19 tasks and more than 4,500 judgments. They used signal detection theory, a framework that separates two things: how well a judge tells right from wrong, and where it sets its threshold for saying \"reject.\" When evidence contradicting a claim was always visible, the overseers still caught it almost every time - accuracy held near the ceiling. But adding more detailed procedural traces, the step-by-step records of claimed work, pushed several overseers to reject more good-faith work outright, even when nothing was wrong with it. Stripping away labels that marked which evidence matched which claim made things worse: about 60% of wrongful rejections traced to overseers saying they couldn't connect evidence to the right option. Adding the labels back mostly fixed that specific complaint, but some overseers kept over-rejecting anyway, and did so more as traces got longer.\n\nThis flips a common assumption in AI safety work - that more documentation makes oversight systems easier to manipulate with plausible-looking detail. The real risk runs the other way: extra paperwork makes some AI auditors trigger-happy, flagging clean work as fraudulent. For any company running an AI system to audit compliance, expense reports, or code, false rejections - not false approvals - may be the bigger operational cost.\n\nWhich is a good argument for auditing the auditors before trusting them with everyone else's audits.","[\"ai oversight\",\"llm judges\",\"ai safety\",\"arxiv research\"]","2026-09-17T04:00:00.000Z","2026-09-18T02:13:20.080Z","2026-09-18T02:13:31.976Z","published",null,[],"ai",[26,27,28,29],"ai oversight","llm judges","ai safety","arxiv research",[31],{"name":32,"url":33},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.18204",0,{"sections":36},[37,41,45,50,55,59,63,68,73,77,82,87,92,97],{"name":38,"slug":24,"count":39,"latest_published_at":40},"AI",3853,"2026-09-17T08:27:09.000Z",{"name":42,"slug":43,"count":44,"latest_published_at":18},"Security","security",648,{"name":46,"slug":47,"count":48,"latest_published_at":49},"Policy","policy",338,"2026-09-11T04:00:00.000Z",{"name":51,"slug":52,"count":53,"latest_published_at":54},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":56,"slug":57,"count":58,"latest_published_at":18},"Hardware","hardware",154,{"name":60,"slug":61,"count":62,"latest_published_at":18},"Science","science",114,{"name":64,"slug":65,"count":66,"latest_published_at":67},"Consumer Tech","consumer-tech",99,"2026-09-09T17:27:33.000Z",{"name":69,"slug":70,"count":71,"latest_published_at":72},"Software","software",75,"2026-09-10T20:41:21.000Z",{"name":74,"slug":75,"count":76,"latest_published_at":18},"Dev Tools","dev-tools",73,{"name":78,"slug":79,"count":80,"latest_published_at":81},"Startups","startups",55,"2026-09-09T23:14:29.000Z",{"name":83,"slug":84,"count":85,"latest_published_at":86},"Gaming","gaming",43,"2026-09-10T12:18:06.000Z",{"name":88,"slug":89,"count":90,"latest_published_at":91},"General","general",41,"2026-09-08T01:57:23.000Z",{"name":93,"slug":94,"count":95,"latest_published_at":96},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":98,"slug":99,"count":100,"latest_published_at":101},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]