Markel Arias
As Pavlik (2023) argues, AI is reshaping journalism by transforming how information is produced, distributed, and consumed. However, this transformation still depends heavily on human oversight. Diakopoulos (2019) emphasizes the need for transparency, editorial control, and accountability when integrating algorithmic processes into journalistic workflows.
Organizations like UNESCO (2021) and the Reuters Institute (2022) also warn against the risks of bias, misinformation, and ethical blind spots when using AI, particularly in sensitive topics such as identity, immigration, and education, exactly the themes I addressed in my article.
When I tried to use AI to create visual content, I realized it connects with the current discussion about how trustworthy AI really is, especially in journalism that works with data. In my case, the AI couldn’t make useful graphics, which shows that the concerns experts have written about are real.
During the week dedicated to AI, I produced a journalistic article titled “Dutch First in Dutch Education”, which explores the Netherlands’ recent decision to reduce the number of English-taught university programs in favor of Dutch.
The goal of this project was to create a piece that was both informative and innovative, integrating AI tools not only in the writing process but also in an experimental attempt to generate data visualizations. I used AI to assist with research, writing structure, and data base collection. In addition, I created several databases and tested different AI tools, such as Flourish and MyMap.AI, to automatically generate graphs to accompany the article.
However, after numerous attempts, I found that the results were either visually unsatisfactory or factually inaccurate. This led me to conclude that AI is still not ready to produce reliable, high-quality journalistic visuals without significant human correction.
This project represents journalistic innovation in two key ways:
This project is not only innovative in form but also in method, as it involved a hands-on evaluation of AI’s capabilities and limits within journalistic practices.
This project allowed me not only to use AI tools but to critically test them in a real journalistic scenario. While I found AI helpful in enhancing language, organization, and clarity, its limitations became very clear when attempting to generate data visualizations. The tools provided inaccurate or misleading content and lacked visual coherence, which made them unusable for professional publication.
Rather than being a failure, this outcome was a valuable learning moment. It demonstrated that innovation in journalism isn’t just about adopting new tools, it’s about using them wisely. Understanding where AI works and where it falls short is essential to maintaining journalistic standards.
This experience strengthened my belief that the future journalist must be both digitally skilled and critically aware. AI can be a powerful tool, but its use must always be paired with human judgment, ethical consideration, and editorial responsibility.
Here you can see the final result of the graphic:
REFERENCES
Pavlik, J. V. (2023). Journalism in the Age of Artificial Intelligence. Columbia University Press.
Diakopoulos, N. (2019). Automating the News: How Algorithms Are Rewriting the Media. Harvard University Press.
UNESCO. (2021). Ethical challenges of AI in journalism. United Nations Educational, Scientific and Cultural Organization.
Newman, N. (2022). Journalism, media, and technology trends and predictions 2022. Reuters Institute for the Study of Journalism. https://reutersinstitute.politics.ox.ac.uk/