Introducing 5 AI solutions for local news

The AI-powered products, which are available for any newsroom to leverage, demonstrate specific ways AI can be useful for local news organizations, including:

• Automated writing of public safety incidents into the content management system of Minnesota newspaper Brainerd Dispatch. (Read the case study | Access the source code)
• Publication of Spanish-language news alerts using National Weather Service data in English by the newspaper El Vocero de Puerto Rico. (Read the case study | Access the source code)
• Automated transcription of recorded videos and summarization of the transcripts to create an article’s initial framework at San Antonio, Texas, television station KSAT-TV. (Read the case study | Access the source code)
• 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 keyword identification and reporter alerts, for staff at Michigan Radio’s WUOM-FM at the University of Michigan. (Read the case study)

Four of the case studies are now available, with the final case study to be published in the coming weeks at ai.ap.org. Source code for three of the five projects is available on AP’s Github.