{
  "id": 2196,
  "url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1801235",
  "title": "The collaboration code: how humans and AI work together across millions of conversations on job tasks",
  "summary": "As generative AI transforms work across all fields, understanding human–AI collaboration is critically important to the future of work. This study analyzed behavioral data from millions of Claude AI conversations mapped to occupational tasks via the O*NET taxonomy to examine whether human–AI collaboration patterns are consistent with expectations derived from traditional technology adoption frameworks. Utilizing Technology Acceptance Model, Protection Motivation Theory, Social Exchange Theory, a",
  "authors": "Patrick D. Lynch",
  "category": "research",
  "topics": "jobs-economy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-14T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:11:46.979Z",
  "source_slug": "x-frontiers-in-artificial-intelligence",
  "source_name": "Frontiers in Artificial Intelligence",
  "source_homepage": "https://www.frontiersin.org/journals/artificial-intelligence",
  "ethics_ai_record_url": "https://ethics.ai/record/2196",
  "original_url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1801235",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}