[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-ai-ethics-answers-change-with-how-you-ask-the-question":10,"sections":34},{"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":29,"feedback":33,"feedback_at":22,"cost_usd":33,"total_tokens":33},4517,"ai-ethics-answers-change-with-how-you-ask-the-question","AI Ethics Answers Change With How You Ask the Question","A new audit of 16 language models finds their moral stances flip dramatically depending on whether a question is framed as a prescription or a prohibition.","Ask an AI whether someone *should* do something ethically fraught, then ask whether they *should not* — and you may get two opposite answers.\n\nResearchers audited 16 language models across 14 ethical dilemmas by pairing each question as both a prescription (\"They should X\") and a prohibition (\"They should not X\"). A model with a coherent moral stance should give the same underlying judgment either way. Many don't. Small open-weight models in the 1-4 billion parameter range endorsed a proposed action only 24% of the time under affirmative framing, but up to 100% of the time when the same action was framed as a prohibition — a swing of as much as 76 percentage points. Larger commercial models held up better but still shifted: cross-model agreement fell from 73% on straightforward affirmative questions to 59% once simple negation was introduced. Human coders confirmed the instability is real, though they also found that binary agree\u002Fdisagree scoring overstates it.\n\nThe finding matters because AI systems are increasingly consulted on decisions with real consequences — medical triage, legal guidance, content moderation — and a model whose moral output depends on sentence construction rather than the underlying situation is not expressing a stable position at all. The paper proposes a new metric, the Negation Sensitivity Index, to measure stance stability directly, arguing that single-phrasing audits can misreport what a model actually \"believes\" about an ethical question.\n\nThe irony is that using another AI to judge the results doesn't help: the study found LLM-based evaluators silently collapse ambiguous responses and reproduce the same forced-choice bias being measured, which means the tools most commonly used to scale AI evaluation may be hiding exactly the problem this research is trying to expose.","[\"ai\",\"language-models\",\"research\",\"ethics\"]","2026-07-09T04:00:00.000Z","2026-07-09T06:22:46.315Z","2026-07-09T06:22:49.302Z","published",null,[],"ai",[24,26,27,28],"language-models","research","ethics",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2601.21433",0,{"sections":35},[36,40,45,50,55,60,65,70,75,80,84,88,93,98],{"name":37,"slug":24,"count":38,"latest_published_at":39},"AI",2590,"2026-07-16T04:00:00.000Z",{"name":41,"slug":42,"count":43,"latest_published_at":44},"Security","security",294,"2026-07-15T19:59:48.000Z",{"name":46,"slug":47,"count":48,"latest_published_at":49},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":51,"slug":52,"count":53,"latest_published_at":54},"Policy","policy",158,"2026-07-16T00:02:48.000Z",{"name":56,"slug":57,"count":58,"latest_published_at":59},"Hardware","hardware",122,"2026-07-14T19:46:26.000Z",{"name":61,"slug":62,"count":63,"latest_published_at":64},"Consumer Tech","consumer-tech",93,"2026-07-13T13:20:48.000Z",{"name":66,"slug":67,"count":68,"latest_published_at":69},"Software","software",70,"2026-07-13T19:52:25.000Z",{"name":71,"slug":72,"count":73,"latest_published_at":74},"Science","science",66,"2026-07-10T10:29:37.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":79},"Dev Tools","dev-tools",59,"2026-07-07T04:00:00.000Z",{"name":81,"slug":82,"count":83,"latest_published_at":18},"Gaming","gaming",41,{"name":85,"slug":86,"count":83,"latest_published_at":87},"Startups","startups","2026-06-29T20:55:50.000Z",{"name":89,"slug":90,"count":91,"latest_published_at":92},"General","general",29,"2026-07-10T22:28:58.000Z",{"name":94,"slug":95,"count":96,"latest_published_at":97},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":99,"slug":100,"count":101,"latest_published_at":102},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]