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‘We need to set the terms or we’re all screwed’: how newsrooms are tackling AI’s uncertainties and opportunities

Mar 22, 2025 - theguardian.com
In early March, Gannett advertised for an “AI-assisted sports reporter,” highlighting the growing integration of AI in journalism. While AI offers opportunities for efficiency and expanded coverage, it also poses challenges, such as potential inaccuracies and ethical concerns. Some media outlets have faced backlash for AI-generated content that misrepresented sensitive topics, like the Ku Klux Klan. Despite these issues, many publishers are experimenting with AI to suggest headlines, summarize stories, and analyze large datasets, freeing journalists to focus on in-depth reporting. However, there is skepticism about whether the time saved will truly enhance original journalism.

Media companies are also exploring AI for audience engagement, such as transforming text into video or audio formats. Yet, there is a looming fear that personal AI chatbots could replace traditional media, prompting some organizations to sign licensing deals with AI model owners to protect their content. The industry remains divided on the best path forward, with some advocating for government intervention to prevent tech giants from monopolizing content distribution. Despite the challenges, there is hope that the media can adapt to these technological changes and maintain its relevance.

Key takeaways:

  • AI is being integrated into journalism, with roles like AI-assisted sports reporters, but it raises concerns about the quality and nature of reporting.
  • Media companies are using AI for tasks like headline suggestions, story summaries, and repurposing content, but there are concerns about accuracy and the potential for AI to replace human journalists.
  • AI is being used inside newsrooms for data analysis, transcription, translation, and social listening, providing new ways to engage with audiences and uncover stories.
  • There is a fear that AI could disrupt the media industry by inserting itself between media companies and users, leading to calls for government intervention and licensing deals with AI model owners.
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