{
  "id": 9044,
  "url": "https://doi.org/10.1093/geront/gnab167",
  "title": "Digital Ageism: Challenges and Opportunities in Artificial Intelligence for Older Adults",
  "summary": "Artificial intelligence (AI) and machine learning are changing our world through their impact on sectors including health care, education, employment, finance, and law. AI systems are developed using data that reflect the implicit and explicit biases of society, and there are significant concerns about how the predictive models in AI systems amplify inequity, privilege, and power in society. The widespread applications of AI have led to mainstream discourse about how AI systems are perpetuating ",
  "authors": "Charlene H. Chu, Rune Nyrup, Kathleen Leslie, Jiamin Shi, Andria Bianchi, Alexandra Lyn",
  "category": "research",
  "topics": "regulation,jobs-economy,healthcare,children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2021-11-15T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:47.102Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9044",
  "original_url": "https://doi.org/10.1093/geront/gnab167",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}