Ethical AI Taxonomy and Initial Guidelines for Teacher-AI Complementarity

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.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-29
DOI
https://doi.org/10.5281/zenodo.18412280
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ethical AI Taxonomy and Initial Guidelines for Teacher-AI Complementarity

Qi Zhou, Sahan Bulathwela, Wannapon Suraworachet
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Ethical AI Taxonomy and Initial Guidelines for Teacher-AI Complementarity

Qi Zhou, Sahan Bulathwela, Wannapon Suraworachet
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
University College London (GB)
Quality Education
Openalex Percentile: Top 64%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.