Artificial Intelligence

How AI Is Creeping Into The New York Times

How AI Is Creeping Into The New York Times

Artificial intelligence (AI) has increasingly found its way into various sectors, including journalism. A recent incident involving The New York Times has raised questions about the extent to which AI is being utilized in media outlets without proper disclosure. This article explores the implications of AI’s infiltration into prestigious publications and the ongoing discussions surrounding it.

The Incident: A Column Under Scrutiny

On March 25, 2026, writer Becky Tuch shared an excerpt from a New York Times “Modern Love” column that caught her attention. Tuch expressed her concerns on social media, stating, “I don’t want to falsely accuse writers of using AI, but this reads EXACTLY like AI slop.” The excerpt, which described a mother’s feelings about losing custody of her son, prompted a wave of reactions online.

AI Detection Tools in Action

Among the responses to Tuch’s post was one from AI researcher Tuhin Chakrabarty, who had analyzed the text using an AI-detection tool from Pangram Labs. The tool flagged the column as likely AI-generated, estimating that over 60 percent of it was produced by AI. Tuch’s concerns were echoed by other users who ran the text through various AI detection tools, with results ranging from 30 percent to no AI detection at all.

Author’s Explanation

Kate Gilgan, the author of the column, responded to the controversy by stating that while she did not copy and paste AI-generated language, she did use AI as a tool for inspiration and guidance. She clarified that she utilized AI to help her stay on topic and maintain thematic consistency in her writing. Gilgan emphasized that her use of AI was more about collaboration than generation.

The New York Times’ Stance on AI

A spokesperson for The New York Times stated that the paper requires freelancers to adhere to its ethical-journalism handbook, which mandates transparency regarding AI use. The spokesperson noted that substantial use of generative AI must be disclosed to readers. However, they did not clarify whether Gilgan’s use of AI warranted disclosure, reinforcing the idea that journalism remains a fundamentally human endeavor.

Wider Implications of AI in Journalism

The incident involving The New York Times is not an isolated case. Reports indicate that AI has infiltrated other prestigious media outlets as well. For instance, Hachette made headlines when it canceled the publication of a novel, “Shy Girl,” due to concerns about AI-generated text. Additionally, the Chicago Sun-Times and The Philadelphia Inquirer faced backlash for publishing a summer-reading guide that included nonexistent novels created using AI.

Concerns about AI Detection

One significant challenge in addressing AI’s presence in journalism is the reliability of AI detection tools. These tools are still evolving, and their accuracy can vary. False positives and missed detections are common issues. Max Spero, CEO of Pangram, acknowledged these challenges and noted that estimating the percentage of AI material in a text is complex.

Research Findings on AI Use in Media

To better understand the prevalence of AI in journalism, Jenna Russell, a doctoral candidate at the University of Maryland, and her colleagues conducted research using Pangram on thousands of articles. Their findings indicated that AI use was flagged across various U.S. publications, including The New York Times, The Wall Street Journal, and The Washington Post. The results suggested that writers may be using AI more frequently than readers realize.

Transparency and Authenticity in Journalism

In light of these findings, major newspapers have begun to address their AI policies. While some permit the use of AI, they emphasize the importance of transparency. A spokesperson for The Washington Post stated that their editing process includes efforts to establish the authenticity of published content. However, the definition of authenticity remains somewhat ambiguous, especially given the Post’s use of AI-generated podcasts.

The Future of AI in Journalism

As AI continues to evolve, the debate surrounding its role in journalism will likely intensify. The presence of AI-generated content in trusted publications raises ethical questions about authorship, authenticity, and the potential impact on public trust in media. While AI can serve as a valuable tool for writers, the need for transparency and adherence to journalistic standards remains paramount.

Conclusion

The infiltration of AI into esteemed media outlets like The New York Times highlights a growing trend that warrants careful consideration. As AI technology advances, the journalism industry must navigate the complexities of integrating these tools while maintaining ethical standards and transparency. The ongoing discussions surrounding AI’s role in media will shape the future of journalism, influencing how stories are told and perceived by the public.

Note: This article reflects the evolving landscape of AI in journalism and the importance of transparency and ethical practices in media.

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