{
  "id": 1998,
  "url": "https://link.springer.com/article/10.1007/s00146-026-03206-3",
  "title": "Perceived and actual AI literacy in military organizations: a self-efficacy framework for training design",
  "summary": "This study examines the underlying causes of the gap between perceived artificial intelligence (AI) literacy and the actual competencies of defense personnel, and explores structured training initiatives that can support reliable and responsible decision-making in AI-mediated operational environments. Grounded in self-efficacy theory and the cognitive psychology of competence assessment, the study advances the theoretically motivated proposition that the routine use of intelligent systems may co",
  "authors": null,
  "category": "research",
  "topics": "military-security,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-06T00:00:00.000Z",
  "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/1998",
  "original_url": "https://link.springer.com/article/10.1007/s00146-026-03206-3",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}