{
  "id": 9517,
  "url": "https://doi.org/10.1093/pnasnexus/pgae191",
  "title": "The impact of generative artificial intelligence on socioeconomic inequalities and policy making",
  "summary": "Abstract Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of the potential impacts of generative AI on (mis)information and three information-intensive domains: work, education, and healthcare. Our goal is to highlight how generative AI could worsen existing inequalities while illuminating how AI may help mitigate pervasive social problems. In ",
  "authors": "Valerio Capraro, Austin Lentsch, Daron Acemoğlu, Selin Akgün, Aisel Akhmedova, Ennio Bilancini",
  "category": "research",
  "topics": "regulation,healthcare,children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2024-05-31T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:57.576Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9517",
  "original_url": "https://doi.org/10.1093/pnasnexus/pgae191",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}