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AI use in newsrooms rises sharply amid growing ethical concerns

 JournalismPakistan.com |  Published 1 hour ago |  JP Global Monitoring Desk

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AI use in newsrooms rises sharply amid growing ethical concerns
A wave of recent research shows that more journalists worldwide are relying on AI tools for reporting, editing, and multimedia work, even as a majority raise concerns about impacts on trust, accuracy, and creativity in journalism.

BRUSSELS  — Recent data from major journalism‑industry surveys indicates that use of artificial intelligence tools among journalists has surged in 2025. According to the latest report from Digital Content Next, 22 percent of surveyed journalists now use AI for story research at least once a month, 16 percent for idea generation or headline drafting, 12 percent for fact‑checking or source work, and 10 percent for first drafts of articles. 

Parallel findings appear in research from the Reuters Institute for the Study of Journalism (RISJ), showing that 56 percent of UK journalists report professional weekly use of AI, with 27 percent saying they use it daily. Only 16 percent said they had never employed AI tools in their work.

AI moves from experiment to editorial routine

Adoption patterns vary significantly across beats, age groups, and formats. Younger journalists are more likely to use AI regularly, under‑30 respondents report weekly AI use at 42 percent, compared with 29 percent among those aged 50 and older. Business and data‑driven beats show higher AI usage than lifestyle or feature reporting, and journalists working across multiple media formats (text, video, graphics, audio) report AI use far more frequently.

AI tools are being used for a broad array of tasks beyond writing text. In surveyed newsrooms globally, journalists report using AI for drafting and editing content, transcription, translation, research, fact‑checking, and multimedia production — spanning text, audio, and visuals.

Deep concern over trust, accuracy, and originality

Despite growing integration, journalists remain deeply concerned about the consequences. In the Digital Content Next survey 60 percent say they are extremely worried about AI’s effect on public trust in journalism, 57 percent flag potential accuracy problems, and 54 percent fear loss of originality in reporting. In addition, a recent academic study of journalists in the Basque region found nearly 90 percent believe AI will significantly increase the risk of disinformation and make spotting false content harder. 

Risk of uneven implementation and lack of oversight

Another challenge lies in the lack of formal guidance within many news organisations. According to a global study by the Thomson Reuters Foundation, more than 80 percent of surveyed journalists use AI tools. Yet only 13 percent reported that their employer has an official AI policy in place. Nearly eight in ten said their workplaces have no clear rules governing AI use. This gap raises concerns about consistency, transparency, and accountability of AI‑driven reporting.

As newsrooms evolve, there is a growing call for formal training, clearer editorial standards, and transparent disclosure of AI involvement in content creation. Advocacy groups and journalists warn that without structured guidance, the rush to embrace AI could undermine public confidence and the quality of journalism.

KEY POINTS:

  • 22 percent of journalists now use AI monthly for story research; 16 percent for idea generation or headlines; 12 percent for fact checking
  • 56 percent of UK journalists report weekly professional AI use; 27 percent use it daily; only 16 percent have never used it
  • Younger journalists, business and data‑beat reporters, and those working across multiple media formats are likelier to adopt AI
  • Journalists voice strong concern: 60 percent worry about impact on public trust, 57 percent about accuracy, 54 percent about originality
  • Only 13 percent of news outlets surveyed globally have a formal AI policy guiding its use, leaving most adoption unregulated 

ATTRIBUTION: Based on surveys and reports from Digital Content Next, Reuters Institute for the Study of Journalism, Thomson Reuters Foundation, and related academic research.

 

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