{"data":{"id":"c25cb25a-91b2-4120-a348-8f348164b138","title":"CoVal: Learning values-aware rubrics from the crowd","summary":"OpenAI researchers released CoVal, an experimental dataset of crowd-written, prompt-specific rubrics that show why people prefer one model response over another, in addition to which response they chose. CoVal-full keeps the raw, sometimes conflicting criteria, while CoVal-core keeps 4 highly rated, mutually compatible criteria per prompt. The authors state that the rubrics reflect surveyed participants' views, not OpenAI's, and do not represent what all people want from AI.","solution":"N/A -- no mitigation discussed in source.","labels":["research","safety"],"sourceUrl":"https://alignment.openai.com/coval/","publishedAt":"2026-01-14T19:00:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":["OpenAI"],"affectedVendorsRaw":["GPT-5-family models"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-01-14T19:00:00.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":null,"llmSpecific":true,"classifierConfidence":0.85,"researchCategory":"industry","atlasIds":null}}