Values-based governance of artificial intelligence in Jordanian media institutions
The rapid adoption of artificial intelligence (AI) in journalism has outpaced the development of institution-level safeguards in many Arab media environments. This study examines values-based AI governance in Jordanian media institutions through a secondary qualitative analysis of eleven expert interviews originally collected in 2024 for a broader doctoral study. Rather than conducting a de novo line-by-line recoding of every transcript, the present analysis re-examined governance-relevant coded segments across all eleven participants together with their surrounding transcript passages and analytical memos. Five empirical themes emerged: credibility and verification; human responsibility and institutional accountability; justice, representation and non-bias; privacy and data protection; and local adaptation with continuous institutional learning. These themes were then interpreted through Islamic ethical principles and established AI-governance scholarship. The resulting framework does not claim to invent new governance principles; it contextually integrates existing governance ideas with Jordanian expert evidence and Islamic ethical reasoning. It links normative values to professional safeguards, organisational structures, and legal-societal alignment across the AI lifecycle.