Computer-Aided Tagging on Wikimedia Commons: Designing for Human-AI Collaboration in Open Knowledge Work

2026-05-28

AI Summary

This study investigates the design of human-AI collaborative image annotation tools for Wikimedia Commons—a multilingual, multicultural, volunteer-driven open knowledge platform—with the aim of enhancing content discoverability, searchability, accessibility, and multilingual support. Drawing on 595 community comments and 16 in-depth interviews, and grounded in HCI and CSCW theoretical frameworks, the research identifies seven key factors underlying the low adoption and eventual discontinuation of existing computer-assisted tagging (CAT) tools. Challenging conventional paradigms that are English-centric, text-dominated, and corporate-driven, this work proposes co-design principles tailored to open collaboration ecosystems and offers concrete, community-informed recommendations for improving human-AI interaction in such settings.

Abstract

This study investigates Wikimedia Commons contributors' lived experiences with the Computer-Aided Tagging (CAT) tool, an AI-assisted image tagging system designed to improve Commons' discoverability, searchability, accessibility, and multilingual support. Using a qualitative analysis of 595 CAT-related community comments from 11 wiki pages and 16 in-depth interviews, we identify seven key issues that contributed to CAT's mixed reception and eventual deactivation. We also offer community-informed suggestions for improving the tool. We reflect on the implications for designing human-AI collaboration on Commons and for developing AI-assisted tools that support open knowledge work. This work contributes to HCI and CSCW research by extending the understanding of human-AI collaboration beyond Anglophone, text-centric, corporate platforms.

Problem

• Human-AI collaboration
• Open knowledge work
• AI-assisted tagging
• Wikimedia Commons
• Computer-Aided Tagging

Innovation

• human-AI collaboration
• open knowledge work
• AI-assisted tagging
• Wikimedia Commons
• community-centered design