Lifecycle coverage
Design, development, and operation questionnaires benchmark progress against Trustworthy AI principles.
The Trustworthy AI Maturity Model (TAIMM) translates EU AI Act obligations into clear lifecycle questionnaires so research teams, public bodies, and industry can evidence their governance supporting international AI management system standards such as ISO/IEC 42001.
Sample readiness snapshot
Developing · Evidence collected across 3 stages
Scores use the 0-4 maturity scale anchored to EU AI Act obligations and informed by ISO/IEC 42001 lifecycle controls.
Developed by researchers at the ADAPT Centre, University of Galway.
Design, development, and operation questionnaires benchmark progress against Trustworthy AI principles.
Each response includes a short comment box to document rationale, references, or links to artefacts.
Results summarise overall maturity, stage-level scores, and action notes for governance follow-up.
TAIMM translates EU AI Act obligations and the Commission's Trustworthy AI principles into structured questionnaires for Design, Development, and Operation. Participants capture evidence inline, lock scoring when complete, and export printable governance packs.
The TAIMM study examines how organisations operationalise the Trustworthy AI principles across the AI lifecycle. It is conducted by Louise McCormack as part of doctoral research through the ADAPT Centre at the University of Galway.
The instrument aligns each question with EU AI Act recitals and the Commission’s seven Trustworthy AI requirements. Findings support evidence-led governance frameworks for public and private sector deployments.
Contact [email protected] for research enquiries.
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