AI in media was the central theme at the 10th International Conference of the Saudi Association for Media and Communication, held on April 7, 2026, where scholars examined how artificial intelligence is reshaping the foundations of communication theory.
Media expert Dr. Hamza Bayt Al-Mal presented a paper titled “Corrective Crisis or Scientific Revolution: The Epistemological Model of Communication and Media in the Age of Artificial Intelligence.” He argued that what media is experiencing today goes beyond a simple adjustment to new tools.
A Scientific Revolution, Not a Corrective Crisis
Dr. Bayt Al-Mal said the current shift represents a full scientific revolution that has reshaped the communication model itself. This transformation, he stated, has redefined the core elements of the communication process, including the receiver, the message, and the source, as algorithms now dominate and the center of influence moves from the medium to the network.
He drew on the theory of scientific revolutions to explain the transition from a dominant model to an epistemological break, which produces a new model built on different tools and methods. The shift, he noted, goes beyond media outlets to dismantle traditional knowledge structures entirely.
The Decline of the Gatekeeper Role
The paper highlighted the declining role of the traditional “gatekeeper” in social media and journalism, as independent content creators rise to fill that space. Reception patterns have also changed, becoming a continuous state driven by digital technologies rather than a discrete act of consuming media.
Dr. Bayt Al-Mal identified several contemporary challenges facing the field. These include deepfakes, the blurring of truth, the anonymity of content sources, and the growing control that technology companies hold over the broader communication system.
AI in Media Studies: A Call for Interdisciplinary Knowledge
Looking ahead, Dr. Bayt Al-Mal said the future of media studies requires knowledge integration across media, computer science, and artificial intelligence. He described the new model as one built on algorithmic dominance, media convergence, and asymmetric communication governed by complex digital systems.
He stressed that keeping pace with these shifts requires rebuilding communication knowledge according to the realities of the digital age. The conference, organized by the Saudi Association for Media and Communication, serves as a platform for academic and professional dialogue on the evolving role of media in the region.
Conference Background and Regional Significance
The 10th International Conference brought together media scholars and practitioners to address the structural changes that AI in media is producing across journalism, communication theory, and media education. The discussions reflect a broader regional conversation about how Saudi Arabia and the wider Arab world are responding to the digital transformation of public communication.
“What media is experiencing today is not a corrective crisis or an adaptation to new tools, but a full scientific revolution that has reshaped the communication model and redefined the elements of the communication process.”
Dr. Hamza Bayt Al-Mal, Media Expert
The paper’s conclusions point to a need for academic institutions to update curricula and research frameworks to account for algorithmic influence, platform governance, and the shifting boundaries between human and machine-generated content.
