Conversation-style article
When a Child's Story Becomes a Film
Why the real significance of AI-assisted storytelling lies not in technical spectacle, but in attention, care and recognition.
Read the public articleOne project, three levels
The finished work is only the surface.
These six articles examine the same unfolding practice from different distances.
Each enquiry has two forms: a research paper that establishes the academic argument and a Conversation-style article that opens it to a broader public audience. Read one pair, follow the whole sequence, or switch between formats to see how the same evidence changes when the audience changes.
Choose your depth
01
Look closer at the story.
A handwritten story becomes image, sound, film and a shared moment. The important question is not what the technology can make, but whether the original voice remains present.
Academic position paper
From Page to Presence
Storybook as multimodal story transformation, recognition and shared meaning-making across authorship, place, music and memory.
Read the research paper
02
Look closer at the making.
The output did not arrive in one prompt. It emerged through a recursive loop in which each artefact became something new to inspect, judge, revise and think with.
Conversation-style article
AI Did Not Replace the Creative Team
A clearer public account of what changed: not the need for human judgement, but the speed at which judgement could act on visible work.
Read the public articleAcademic case study
Recursive Acceleration
A practice-led account of AI plus intelligence amplification, where productivity comes from compressing the loop between making, seeing and remaking.
Read the research paper
03
Look closer at the thinking.
In higher education, a polished final product can no longer tell us enough. Responsible AI use requires evidence of the route: the sources, choices, checks, revisions and ownership behind the work.
01SourceWhat human material, problem or evidence began the work?
02GenerateWhere and why was AI used within the process?
03JudgeWhat was selected, rejected or redirected?
04VerifyWhich claims, sources and outputs were checked?
05OwnWho takes responsibility for the final submission?
Conversation-style article
Stop Asking Only Whether Students Used AI
A public case for moving beyond detection and asking whether students can explain what they did, checked, changed and learned.
Read the public articleEvidence-supported paper
AI Literacy Is Not Prompt Engineering
An evidence-led argument that universities must teach and assess documented judgement, verification and responsibility in AI-assisted work.
Read the research paperThe argument beneath the collection
AI is a tool. The method remains human.
The six articles move from creative meaning, through productive practice, to educational responsibility. Together, they make the process visible.
Purpose begins the work. Evidence anchors it. AI expands the field of possibility. Human judgement decides what deserves to remain.