{"data":{"id":"4aae12d4-d268-4bec-9e18-8c06d296d9ff","title":"Name-Bias in Large Language Models","summary":"Researchers evaluated name-based bias in 6 local large language models from multiple providers and parameter scales. Using a fill-in-the-blank task with balanced first-name pairs from U.S. Social Security Administration data and a race classification dataset by Rosenman et al., they ran 300,000 responses and found consistent bias: models preferred names that are less stereotypically male, older, popular, and white. Gender was the strongest effect, followed by age, name popularity, and race.","solution":"N/A -- no mitigation discussed in source.","labels":["research","safety"],"sourceUrl":"https://arxiv.org/abs/2610.22053v1","publishedAt":"2026-10-15T15:19:55.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":[],"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":"2026-10-15T15:19:55.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["safety"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.9,"researchCategory":"preprint","atlasIds":null}}