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Evidence record 1280 · automatically gathered

Governance Controls for AI-Generated Test Artifacts in Autonomous Software Testing

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

Record details

Published: 7 June 2026
Source: arXiv
Category: Research
Topics: Regulation · Transparency
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (7 June 2026), “Governance Controls for AI-Generated Test Artifacts in Autonomous Software Testing,” evidence record 1280, https://ethics.ai/record/1280 (originally published by arXiv).

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