{
  "id": 1280,
  "url": "https://arxiv.org/abs/2606.08806v1",
  "title": "Governance Controls for AI-Generated Test Artifacts in Autonomous Software Testing",
  "summary": "Artificial Intelligence (AI) and Large Language Models (LLMs) are increasingly used in autonomous software testing; however, AI-generated test artifacts often suffer from hallucinations, compliance violations, security risks, and limited explainability. To enhance the reliability, transparency, and trustworthiness of AI-generated testing artifacts, this research introduces the concept of Governance-Aware Autonomous Testing Framework (GATF). The framework extends the autonomous testing lifecycle ",
  "authors": "Dimple Bajaj, Deepak Khetan",
  "category": "research",
  "topics": "regulation,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-07T19:53:19.000Z",
  "fetched_at": "2026-07-14T14:15:07.847Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1280",
  "original_url": "https://arxiv.org/abs/2606.08806v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}