{
  "id": 9611,
  "url": "https://doi.org/10.1038/s41586-024-07856-5",
  "title": "AI generates covertly racist decisions about people based on their dialect",
  "summary": "Abstract Hundreds of millions of people now interact with language models, with uses ranging from help with writing 1,2 to informing hiring decisions 3 . However, these language models are known to perpetuate systematic racial prejudices, making their judgements biased in problematic ways about groups such as African Americans 4–7 . Although previous research has focused on overt racism in language models, social scientists have argued that racism with a more subtle character has developed over ",
  "authors": "Valentin Hofmann, Pratyusha Kalluri, Dan Jurafsky, Sharese King",
  "category": "research",
  "topics": "bias-fairness",
  "orgs": null,
  "regions": "us,africa",
  "published_at": "2024-08-28T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:57.580Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9611",
  "original_url": "https://doi.org/10.1038/s41586-024-07856-5",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}