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New GPT-3 AI projects for local newsrooms

GPT-3 AI projects for local newsrooms

With all recent focus on how to use artificial intelligence, news agency Associated Press announced five AI projects “stretching from Michigan to Puerto Rico” to help local newsrooms to integrate automation and AI technology. Many of them will include using GPT-3 that uses deep learning technology to produce human-like texts.

The projects, which range from automated summaries of public meetings to the translation of news alerts, are aimed at expanding the application of AI in support of long-term business sustainability, writes Lauren Easton, director of media relations in a blog post.

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They include:

  • Automated writing of public safety incidents into the content management system of Minnesota newspaper Brainerd Dispatch.
  • Publication of Spanish-language news alerts using National Weather Service data in English by the newspaper El Vocero de Puerto Rico.
  • Automated transcription of recorded videos and summarizing the transcripts to create an article’s initial framework at San Antonio, Texas, television station KSAT-TV.
  • Sorting of news tips and coverage pitches from the public and automatically populating them into the coverage planner of Allentown, Pennsylvania, television station WFMZ-TV.
  • Expanding the Minutes application, which creates transcripts of city council meetings, to include summarization, keyword identification and reporter alerts, for staff at Michigan Radio’s WUOM-FM at the University of Michigan.
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