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Artificial intelligence is transforming journalism at an unprecedented pace, fundamentally changing newsroom operations, content production and international information flows. However, human judgment, ethical standards and rigorous fact-checking remain indispensable to maintaining public trust, Professor Li Zhang of Tsinghua University's School of Journalism and Communication said during a lecture in Beijing on July 31.
Speaking on "AI and International Communication" at Renmin University of China, Professor Zhang examined both the opportunities and challenges presented by generative AI for international media organizations.
Citing research by the Reuters Institute for the Study of Journalism, Professor Zhang said more than half of the global public now believes news stories are routinely produced using artificial intelligence. This perception, he noted, presents a growing challenge for journalists, whose work continues to depend on field reporting, interviews, fact-checking and editorial judgment.
"Artificial intelligence can rapidly process information and draft content, but it cannot replace human editorial judgment, ethical decision-making or contextual understanding," he said.
Professor Zhang explained that advances in AI models and declining computing costs have made technologies such as automated translation, data journalism and content analysis more accessible to media organizations worldwide.
Despite these advances, he warned that significant structural imbalances remain.
He noted that the development of major AI foundation models, training datasets and digital platforms continues to be concentrated largely in developed countries, raising concerns that international information flows may increasingly reflect limited cultural and political perspectives.
He also highlighted continuing disparities in digital infrastructure, internet connectivity and technical expertise, which leave many media organizations in developing countries dependent on externally developed AI systems rather than locally adapted technologies.
To strengthen editorial independence, Professor Zhang encouraged media organizations to develop AI systems trained on their own verified archives and editorial standards instead of relying solely on general-purpose commercial models.
He cited examples of international media organizations that are adapting AI using proprietary news databases to ensure automated content remains consistent with their institutional values and regional perspectives.
Professor Zhang also emphasized that verification has become one of journalism's greatest competitive advantages as synthetic content, deepfakes and AI-generated misinformation become increasingly widespread.
He noted that some international broadcasters have established dedicated verification teams specializing in image authentication, metadata analysis, geolocation and deepfake detection to maintain the credibility of their reporting.
Looking ahead, Professor Zhang said the role of AI in journalism is evolving through three stages: automation of repetitive tasks, augmentation of newsroom analysis, and the emergence of AI agents capable of conducting complex research and workflow functions under human supervision.
He stressed, however, that technology alone cannot guarantee credible journalism.
Professor Zhang said sustainable adoption of artificial intelligence requires continued investment in journalist training, technical expertise and strong ethical safeguards. He also encouraged media organizations, particularly in developing countries, to participate actively in shaping international AI governance, develop locally adapted AI systems and continue prioritizing verification and editorial integrity.
"In an age of abundant synthetic information," he concluded, "human expertise, ethical responsibility and verified truth remain journalism's greatest strengths."
KPL
