What question did this study set out to answer?

The aim is to conceptualize AI tools that support teachers and enhance their capabilities in educational settings.

February 11, 2026Open Access

Ethical AI Taxonomy and Initial Guidelines for Teacher-AI Complementarity

QZQi ZhouUniversity College London WSWannapon SuraworachetUniversity College London KMKasia MüldnerCarleton University

Key Points

The aim is to conceptualize AI tools that support teachers and enhance their capabilities in educational settings.
Analysis of current teacher-facing AI tools
Mapping design and development features of these tools
Proposing visionary scenarios for ethical AI
Identification of key design features for teacher-AI complementarity
Recommendations for improving teacher competence through AI
Visionary scenarios that prioritize human-centered AI

Abstract

Deliverable 3.1 (D3.1) of the TAICo (Teacher-AI Complementarity) project forms part of Work Package 3 (WP3), which focuses on understanding the technical aspects of AI systems, with a particular attention to the design and development features that support teacher complementarity. This deliverable aims to conceptualise the current landscape of teacher-facing AI tools used in education, map their design and development features to implications for teacher competence, and propose visionary scenarios of human-centred and ethical AI to support teacher-AI complementarity.

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