This study investigates the ethical, professional, and institutional implications of integrating artificial intelligence (AI) into journalistic production, focusing on the paradigm of augmented journalism, defined as the use of AI to support rather than replace human editorial judgment. Drawing on a comprehensive review of academic literature, industry reports, and professional newsroom practices, the analysis examines how AI technologies are transforming newsroom structures and workflows. While AI enhances operational efficiency, accelerates news coverage, and enables advanced audience personalization, it also introduces significant ethical challenges, including algorithmic opacity, the propagation of misinformation, embedded social biases, and concerns related to accountability, privacy, and intellectual property. The study argues that these risks are not solely technical but are deeply embedded in institutional contexts, thereby requiring structured governance responses. It proposes a multi-level framework incorporating human-in-the-loop systems, transparent data governance, ethical literacy, and multi-stakeholder collaboration to promote responsible AI integration. The study concludes that the sustainable adoption of AI in journalism depends on balancing technological innovation with ethical safeguards while preserving human responsibility as the foundation of editorial credibility.
Rania Abdelazim Mohamed (Sat,) studied this question.