aceNavigating codified, tacit and novel rules: Mapping the human-AI creativity frontier
This paper examines the boundary between human and machine creativity by analysing 593 tasks across 126 occupations in the cultural and creative industries. Theoretically, we propose an evolutionary conceptualisation of creativity, structured around three rule types corresponding to retention (codified), adoption (tacit), and origination (novel) phases. Empirically, using GPT-4, we generate synthetic annotations of the semantic content of task descriptions in the Australian Skills Classification. We derive indic…
AI autonomy feasibility increases when defined cognitive rules combine with novel rule creation, supporting a predominantly hybrid human-AI configuration across creative tasks.
Tacit rules are negatively associated with AI autonomy feasibility, constraining full replacement to 2.7% of tasks and leaving 11.0% AI immune in cultural and creative occupations.
Findings rely on synthetic annotations generated by GPT-4 and a simulated classification of tasks rather than observed workplace deployment, limiting generalizability beyond the Australian Skills Classification task descriptions.
Evidence
- Peer-reviewedTechnovation2026-08-02
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Truvace Impact Record TRV-2026-0693, v1: “Navigating codified, tacit and novel rules: Mapping the human-AI creativity frontier.” Truvace, 2026-08-08. /record/TRV-2026-0693 (accessed at citation time). sha256 fc8d2102cba39bc9…
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