Newsrooms in Latin America are formalizing AI policies. Editors are setting clear rules, training staff, and building oversight to manage AI’s role in reporting. Recent incidents highlight the risks of unclear guidelines.
As generative AI tools become more common in newsrooms, legacy publishers in Latin America are moving to formalize how these technologies are used in editorial workflows. Editors at Listín Diario, El Comercio, and El Cronista are developing internal policies, training programs, and oversight mechanisms to address both the opportunities and risks of AI in journalism.
Listín Diario, one of the Dominican Republic’s oldest newspapers, began noticing shifts in reporters’ writing styles more than two years ago. Editors suspected that some journalists were quietly using generative AI to edit stories, but the practice was rarely discussed openly. In January 2026, the newsroom announced new AI guidelines to its readers, following an internal survey that revealed widespread, informal use of AI tools among staff. Drawing on policies from The New York Times, the Financial Times, and The Washington Post, Listín Diario’s editors set out to create their own framework. Their approach focused on managing, not banning, AI use-emphasizing that no article could be fully generated by AI and that all editorial decisions must remain under human control.
Other Latin American news organizations are taking similar steps. El Comercio in Lima introduced a nearly 10-page AI guide in early 2026, defining AI as a multidisciplinary tool and establishing clear principles of accountability. The policy requires transparency, including labeling AI-generated content and disclosing when AI is used in any part of the process. Editors at El Comercio stress that journalists-not AI-are responsible for every published word, fact, and image. The guidelines also prohibit feeding confidential or sensitive information into AI tools without proper agreements, aiming to protect intellectual property and newsroom data.
El Comercio’s Media Lab has become an internal hub for AI experimentation, where representatives from different departments test new tools and evaluate their fit for editorial workflows. This structured approach enabled the newsroom to develop interactive projects for Peru’s presidential and congressional elections, using AI and automation to enhance coverage while maintaining editorial standards.
In Argentina, a May 2026 report from SiPreBA, the Buenos Aires Press Union, found that 70% of journalists using AI at work felt their organizations lacked clear policies. The report also highlighted a strong demand for specialized AI training, with 90% of surveyed press workers citing a training gap. El Cronista, a Buenos Aires-based business newspaper, responded by assessing how its teams used AI and launching targeted training sessions with external consultants. While El Cronista does not have a formal AI manual, management has issued directives for ethical use, with team leaders responsible for implementation. Editors there report that moving from informal experimentation to structured training has improved productivity and allowed journalists to focus on higher-value editorial tasks.
Recent incidents have underscored the risks of operating without clear AI policies. In November 2025, El Espectador in Bogotá issued a public apology after discovering that an intern had used AI to fabricate quotes and invent sources over several months. The newspaper removed the affected content and acknowledged failures in editorial oversight, highlighting the need for robust verification protocols and transparent AI governance.
Strategic partnerships are also playing a role in newsroom adaptation. El Comercio has worked with technology companies like Perplexity and Google to provide staff training on generative AI tools. The Google News Initiative has extended similar training to more than 20 newsrooms in the region, including Listín Diario. Editors say that clear policies and ongoing training have helped journalists feel more confident about using AI responsibly and transparently in their work.
As newsrooms formalize their approach to AI, the focus remains on maintaining editorial rigor, transparency, and accountability. These efforts echo broader trends in media, where publishers are seeking to balance innovation with trust. For example, a recent feature on agentic advertising explored how workflow automation is reshaping editorial operations and the importance of clear internal guidelines.
