Draft:Artificial Intelligence Journalism Integration Model

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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]

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]

References

^ ^a ^b Tiltack, Torsten (2026) [16 October 2025]. "AIJIM: A Scalable Model for Real-Time AI in Environmental Journalism". In Arai, Kohei (ed.). Proceedings of the Future Technologies Conference (FTC) 2025, Volume 2. Lecture Notes in Networks and Systems. Vol. 1676. Springer, Cham. pp. 398–416. doi:10.1007/978-3-032-07989-3_26. ISBN 978-3-032-07988-6.

[springer-1] Tiltack, Torsten (2026) [16 October 2025]. "AIJIM: A Scalable Model for Real-Time AI in Environmental Journalism". In Arai, Kohei (ed.). Proceedings of the Future Technologies Conference (FTC) 2025, Volume 2. Lecture Notes in Networks and Systems. Vol. 1676. Springer, Cham. pp. 398–416. doi:10.1007/978-3-032-07989-3_26. ISBN 978-3-032-07988-6.

[1]

Overview

See also

References