{
  "id": 8033,
  "url": "https://doi.org/10.1073/pnas.1618211113",
  "title": "The dangers of faulty, biased, or malicious algorithms requires independent oversight",
  "summary": "Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans the biological, physical, and social sciences.",
  "authors": "Ben Shneiderman",
  "category": "research",
  "topics": "bias-fairness,biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2016-11-23T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:30.804Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/8033",
  "original_url": "https://doi.org/10.1073/pnas.1618211113",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}