The Realities of Applying AI in Newsrooms, with Joe Amditis

Yes, we know generative AI is bad for writing articles whole-cloth. But what IS it good for when you want to apply AI in a newsroom? In this week's episode of The Media Copilot podcast, host Pete Pachal explores that question Joe Amditis, Associate Director of Operations at the Center for Cooperative Media. As part of his role, Joe researches how journalists can apply generative AI, both at the individual and organization levels, and has written guides on publicly available tools, including the how to create custom GPTs for reporting use cases. Joe's advice to those new to using AI for journalism? Experiment. Journalists need to use AI to understand its capabilities and limitations, and should focus on low-stakes tasks initially. Once they're comfortable, some of the most useful applications he's found are: Documentation and transcription Brainstorming ideas on why people should care about a story Filtering through data and documents to surface potential leads Generating stock images and graphics to accompany articles The key takeaway: Use AI tools pragmatically to gain efficiency in workflows, but do not lose sight of the human element and relationships at the core of journalism. As long as journalists don't lose sight of creating quality, valuable content for their communities, they'll be able to find ways AI can help move faster toward that goal. The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news. ⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to the newsletter.⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠Follow on X.⁠⁠⁠⁠⁠⁠⁠⁠ Subscribe to the podcast on: ⁠⁠⁠⁠⁠⁠⁠⁠Apple⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠ Music: ⁠⁠⁠⁠⁠⁠⁠⁠Favorite⁠⁠⁠⁠⁠⁠⁠⁠ by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License © AnyWho Media 2024