Dr. Carolyne Lunga
The rapid ascent of generative AI has sparked a global debate about the future of the newsroom, amid growing concerns over privacy and ethical compliance. Since the introduction of ChatGPT in November in 2022 and the rapid rise of GenAI technologies, the discourse has been dominated by fears of professional displacement. In this new era, the cornerstones of journalism, contextualized truth, the amplification of lived experiences, and humanity have never been more critical. While Generative AI tools such as ChatGPT, ElevenLabs, Descript, Claude among other are augmenting journalistic processes by improving speed and efficiency in analysing complex documents, generating voice from text and voice cloning, they cannot replicate journalism that is rooted in lived experience, human subjectivity, and contextual understanding.
The automation of routine and time consuming task such as transcription, data processing, and content generation has been welcomed, as it frees journalists to focus on complex reporting, in depth analysis and accountability/investigative journalism. While this argument positions AI as a productivity enhancing tool rather than a replacement for journalists, it often narrows the discussion to what the tool does to and for journalists and journalism, while overlooking more fundamental concerns about how journalists produce meaning, subjective truths, and lived realities of those they reported about. In other words, a techno focused approach sidelines the ethical role and agency of journalists in narrating human experience-core to investigative, climate, environmental, and other types of long form journalism. More recently, the integration of AI agents represents a paradigm shift in journalism, disrupting the traditional gatekeeping function as agents act as intermediaries between journalists and citizens.
There are many examples of mainstream media organisations whose work represents the highest standard of public interest journalism, producing exclusive investigations that hold power to account through leaks, forensic analysis, and undercover reporting. Al Jazeera’s Investigative Unit exemplifies how contextualised truth and human presence remain indispensable to journalism in the age of AI. Its investigations rely not merely on data or pattern recognition, but on lived experiences, public interest, verification and taking risks. In the Gold Mafia investigation, Al Jazeera journalists went undercover, built trust within criminal networks, and navigated dangerous, morally complex environments to expose how gold smuggling and money laundering generate vast illicit wealth. These revelations emerged through human interaction, situational awareness, and courage, qualities no algorithm can simulate. The journalists’ ability to read context, respond to unfolding realities, and place themselves in harm’s way underscores a fundamental truth: journalism is not just about processing information, but about bearing witness. While generative AI may support efficiency, it cannot replace journalists who operate within real-world power structures and local communities, confront wrongdoing face to face, and use their humanity to uncover truths that would otherwise remain hidden.
Similarly, during humanitarian crises such as in war-torn Ukraine, Gaza, Iran and South Sudan, drought-stricken Somalia and Mozambique, journalists, including freelancers, place themselves in the midst of extreme danger to document human suffering, loss, and survival. Reporting from the frontline, navigating trauma, and witnessing death first-hand, journalists deliver context and empathy grounded in lived experiences of the affected, qualities that cannot be generated from a distance or automated by AI. These journalists do more than transmit information; they interpret reality through human experience, bearing witness to events as they unfold and giving voice to the affected. In doing so, they reinforce the role of human journalists as truth tellers and arbiters of meaning, professionals whose credibility stems from presence, accountability, and ethical responsibility. Generative AI, detached from lived experience and risk, cannot substitute this form of truth-telling, which is grounded in humanity, context, and the courage to report from the frontline. The New York Times, and Reuters have played a significant role in conducting long term, on the ground investigations into war crimes in Ukraine and Iran, providing audiences with accurate and verified reports of eye-witnesses, military personnel and conflicting parties.
In landmark global investigations led by the International Consortium for Investigative Journalists (ICIJ), AI tools were used in Panama Papers and subsequent investigations to analyse and visualise large volumes of data and reveal connections between them which would have been impossible to do without AI. Other global collaborative networks such as the Centre for Collaborative Investigative Journalism (CCIJ) have employed AI assisted methods—including Optical Character Recognition (OCR), keyword searches, and GPT based text analysis—to examine over 4,600 High Court records from Eswatini, structuring cases of gender based violence at scale. Crucially, AI functioned as an investigative aid, while journalists retained responsibility for verification, context, and storytelling, underscoring AI’s role as an enabler rather than a substitute for journalism. In Beyond the Blade, an award winning Guardian data driven investigation into knife crime in the United Kingdom, journalists Gary Younge and Damien Gayle created an original dataset to interrogate patterns that had remained obscured within existing official records.
By assembling and interpreting this data themselves, the journalists produced exclusive stories that revealed dimensions of violence overlooked by experts and policymakers. This project demonstrates that while data tools can assist analysis, it is journalistic curiosity, editorial judgment, and contextual understanding that transform data into meaningful public interest reporting. Hyper local newsrooms produce hard news stories with journalists providing context and ensuring that the stories are free from bias, misrepresentation, and the reinforcement of dominant narratives. One of the leading English dailies in Qatar, The Peninsula, the journalist plays a key cultural intermediary and specialized knowledge broker, who translates complex news locally and from around the globe into accurate, accessible and objective narratives for a diverse audience. Journalists navigate multicultural environments serving as a bridge for Arabic and English speakers for citizens and residents and wider regional and global audiences.
Additionally, sacrifice and vulnerability lies at the core of journalism in conflict zones. As documented by Al Jazeera’s record of journalists killed while reporting from Gaza, truth telling in war is an embodied and dangerous act, not a remote or automated process. The journalists, in the article, were targeted as they bore witness to civilian suffering and exposing realities powerful actors sought to obscure. The deaths of more than 270 journalists including Al Jazeera’s Anas al-Sharif and Mohammed Qreiqeh underscore that journalism’s authority is rooted in human presence, moral commitment, and risk, qualities that generative AI, operating without vulnerability or accountability, cannot replicate.
Nevertheless, Gen AI has a key role to play in journalism particularly in other types of journalism that are anchored on analysing statistics, reports and data-driven stories where human capacities are limited. The AI and the Future of News 2026 Conference by the Reuters Institute for the Study of Journalism (RISJ) in the United Kingdom (UK) revealed that newsrooms were using AI in research and editing articles, translation, making charts, data analysis including satellite images, presenting the news among other uses. In sports journalism, for example, AI systems are routinely used to generate match reports, player statistics, and performance summaries immediately after games, drawing on structured data such as scores, possession metrics, and historical records. Similarly, in business, automation aids the generation of earnings summaries and stock market updates, within seconds of data release, enabling news organisations to meet the demands of real time reporting as done by the Financial Times in the UK.
While generative AI is transforming newsroom workflows, the journalist is an indispensable part of journalism. Journalism’s authority is grounded in contextualised truth, human judgment, ethical compliance, and, at times, personal risk and sacrifice to amplify stories of human suffering. AI may assist with analysis and efficiency, but it cannot bear witness, confront power, or assume moral accountability. Its value therefore lies in augmenting not substituting the journalist’s commitment to truth telling.
— Dr. Carolyne Lunga is an Associate Professor in Digital Communication and Media Production (DCMP) at the University of Doha for Science and Technology (UDST)
Dr. Carolyne Lunga is an Associate Professor in Digital Communication and Media Production (DCMP) at the University of Doha for Science and Technology (UDST)
