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Research with open questions.

Published work, original sources and questions I am still working on.

My research

When claims change.

In my PhD at UTS, I study how scientific claims change in human and AI-mediated communication: what evidence still supports them, and what do earlier assessments and approvals still cover? AIJIM and the experimental editor SHARK are part of this research. NamicGreen is a separate, independent environmental project outside my PhD.

My work spans an AI model for environmental journalism, an Evidence-First architecture for organisational decision support, and a machine-checkable specification of publication conditions. Two published conference chapters and a preprint that has not been peer reviewed document this research trajectory.

The papers examine different objects: findings from the early environmental study do not establish the performance of the later reference model or protocol.

01

Research approach

AIJIM Protocol

Making sources, claims and accountability traceable

Research & specification development

AIJIM explores how sources, changes and human decisions can remain connected to a published claim. Public papers and versioned research artifacts document its development.

Explore papers and sources
02

Experiment

AIJIM SHARK

My experimental editor environment

Experimental

In SHARK, I explore ways of representing sources, changes and human decisions when writing with AI. Which approaches help, and where they add effort, remain open questions.

Explore SHARK
03

Environment & fieldwork

NamicGreen

An independent environmental project

Active project

What remains of an environmental photograph when someone else takes over the case? NamicGreen aims to keep observations, evidence, decisions and the next inspection together. Originating in Mallorca, it is being developed for Mallorca and New South Wales, Australia. An old finding does not establish today's conditions.

Explore NamicGreen

Sources & publications

For anyone who wants to dig deeper.

The original sources for the conference chapters, preprint and versioned research artifacts.

Conference chapter

AIJIM: A Scalable Model for Real-Time AI in Environmental Journalism

Published

Authors: Torsten Tiltack

Online since 16 October 2025
SourceSpringer · FTC 2025 · DOI 10.1007/978-3-032-07989-3_26Read the originalOpen research record
Context
Early AIJIM research in environmental journalism. Its results concern the approach described there and do not establish the effectiveness of today’s SHARK.

Conference chapter

An Evidence-First Reference Model for Trustworthy AI in Business Information Systems

Published

Authors: Torsten Olivi Tiltack, Yifei Dong, Kun Yu, Fang Chen

Online since 21 May 2026
SourceSpringer · BIS 2026 · DOI 10.1007/978-3-032-26363-6_7Read the originalOpen research record
Context
A reference model for traceable work with AI. Its conceptual contribution is distinct from later practical validation.

AIJIM specification paper

Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records

Preprint · not peer reviewed

Authors: Torsten Olivi Tiltack, Yifei Dong, Kun Yu, Xu Wang, Wei Liu, Jianlong Zhou, Ren Ping Liu, Fang Chen

v1 · submitted 15 September 2026
SourceTiltack et al. · arXiv:2609.17631v1Read the originalOpen research record
Context
How can AI-assisted claims stay connected to their evidence, human authorization and later corrections? This paper proposes and examines a protocol for that purpose. Its results apply to the formal models and tests studied; they establish neither a claim’s truth nor effectiveness in field use.

Software & research artifacts

AIJIM Publication Authority — Specification and Reproducibility Artifacts

Self-archived · not peer reviewed
Versions 0.1.0 / 0.2.0
SourceZenodo · one collection, two versions
Context
Versioned specification and reproducibility artifacts. Version 0.2.0 adds a research addendum on corrections. These are not two separate publications and do not establish journal acceptance or general effectiveness.

Looking ahead · in development

What I am working on

Scientific Claims in Transit

A systematic review in development: how do scientific claims change as they travel through human and AI-mediated communication? No results are reported here yet.

Publication dynamics

What can dated sources establish about how scientific work handles new evidence? I am also interested in how publication delays affect our view of that process. Ongoing manuscript work, not a published study.

Taking a closer look

One measurement is not a general claim.

A fictional example: a single water measurement becomes the sentence ‘The water is safe everywhere’. What would need checking before publication?

  1. 01 · Claim

    What is the claim?

    ‘Safe everywhere’ covers every location. The original claim concerned one sampling point on one day.

  2. 02 · Evidence

    What supports it?

    The evidence is still the same single measurement. The new wording adds no further data.

  3. 03 · Limit

    What remains open?

    There is no evidence here for other places and times. The measurement alone does not support the generalisation.

  4. 04 · Decision

    What follows from it?

    In this example, a person limits the sentence to the sampling point and decides again. This illustrates the question, not a validated system.

Context & transparency

  • My own research, observations and editorial interpretation are identified as such.
  • AI assistance is disclosed where it materially shapes a contribution.
  • The profile portrait is my own photograph, colour-corrected, subtly retouched and isolated with an AI-assisted mask. The person was not generated.
  • UTS is my personal academic affiliation. TechJournal is an independent personal channel.