Generative Artificial Intelligence and the Transformation of Media Work: An Analytical Study of Professional and Ethical Challenges and Governance Mechanisms

Abstract

This article examines how generative artificial intelligence reshapes media production and the tension between efficiency gains and editorial credibility. It adopts a documentary analytical approach and a selective thematic review of academic literature, institutional reports, and professional guidance; it does not claim original survey or interview data. The analysis addresses professional applications, risks of inaccuracy, bias, privacy breaches and intellectual property disputes, and organizational governance. It argues that the value and risks of generative tools depend on task sensitivity, while editorial accountability must remain human and demonstrable. A risk-tiered governance framework is proposed, including documented verification, proportionate disclosure, staff training, and escalation procedures. The framework is intended for contextual adaptation, including by Libyan media organizations, and has not been empirically validated.