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 Two published conference chapters and a preprint that has not been peer reviewed document this research trajectory.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.
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.
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.
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
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
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?
01 · Claim
What is the claim?
‘Safe everywhere’ covers every location. The original claim concerned one sampling point on one day.
02 · Evidence
What supports it?
The evidence is still the same single measurement. The new wording adds no further data.
03 · Limit
What remains open?
There is no evidence here for other places and times. The measurement alone does not support the generalisation.
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.