{
  "id": 1996,
  "url": "https://link.springer.com/article/10.1007/s00146-026-03205-4",
  "title": "Revising research practices for singing data collection",
  "summary": "As AI voice synthesis enables increasingly sophisticated vocal deepfakes and non-consensual voice cloning, the governance, licensing and access of singing datasets has become an urgent concern for data-contributors, who face significant harms from downstream and non-consensual usage of their singing data. Singing datasets are foundational to the development of high fidelity voice AI synthesis, yet current data collection practices pose challenges: data-contributors have an event-centric contribu",
  "authors": null,
  "category": "research",
  "topics": "regulation,misinformation,copyright-ip",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-12T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:11:46.979Z",
  "source_slug": "x-ai-society",
  "source_name": "AI & Society",
  "source_homepage": "https://link.springer.com/journal/146",
  "ethics_ai_record_url": "https://ethics.ai/record/1996",
  "original_url": "https://link.springer.com/article/10.1007/s00146-026-03205-4",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}