{
  "id": 8362,
  "url": "https://doi.org/10.1145/3173574.3174230",
  "title": "A Qualitative Exploration of Perceptions of Algorithmic Fairness",
  "summary": "Algorithmic systems increasingly shape information people are exposed to as well as influence decisions about employment, finances, and other opportunities. In some cases, algorithmic systems may be more or less favorable to certain groups or individuals, sparking substantial discussion of algorithmic fairness in public policy circles, academia, and the press. We broaden this discussion by exploring how members of potentially affected communities feel about algorithmic fairness. We conducted wor",
  "authors": "Allison Woodruff, Sarah Fox, Steven Rousso-Schindler, Jeffrey Warshaw",
  "category": "research",
  "topics": "bias-fairness,regulation,jobs-economy",
  "orgs": null,
  "regions": null,
  "published_at": "2018-04-20T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:37.180Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/8362",
  "original_url": "https://doi.org/10.1145/3173574.3174230",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}