Draft:Artificial Intelligence Journalism Integration Model
Evidence-first AI workflow for journalism
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Artificial Intelligence Journalism Integration Model (AIJIM) is a conceptual workflow for integrating real-time AI into environmental journalism. It was introduced by Torsten Tiltack in a peer-reviewed chapter published in the Proceedings of the Future Technologies Conference (FTC) 2025 (Lecture Notes in Networks and Systems, volume 1676).[1]
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Overview
AIJIM proposes a six-stage workflow for AI-assisted reporting: (1) data ingestion, (2) automated detection, (3) draft report generation, (4) human-in-the-loop review, (5) quality assurance and explainability, and (6) publish and audit with an evidence chain linking inputs, findings and reviews.[1]