Culturally-Aware AI for Cross-Boundary Community Learning: Undergraduate Innovation at the Intersection of Computation and Design
arXiv:2606.09041v1 Announce Type: cross Abstract: Research on artificial intelligence in education (AIED) is rapidly expanding, yet technical progress often lacks human-centered grounding and adequate attention to cultural context. Community-Based Learning, a pedagogy rooted in social work, remains underrepresented in AIED research, particularly within Asia-Pacific contexts. This paper reports on cross-boundary Community-Based Learning where undergraduate students develop AI-enabled solutions for cultural heritage preservation and sustainable development. We examine how community-engaged compu
The rapid expansion of AIED necessitates addressing human-centered and cultural considerations, which are often overlooked in technical advancements. The increasing integration of AI into diverse societal contexts is pushing for more culturally sensitive applications.
This research highlights the critical need for culturally-aware AI development, particularly for applications in education and heritage preservation in underrepresented regions like Asia-Pacific. Ignoring cultural context can lead to ineffective or harmful AI solutions, hindering adoption and impact.
The focus shifts towards integrating community-based learning and cultural context into AI development processes, moving beyond purely technical metrics. Undergraduate programs are beginning to emphasize ethical and socially responsible AI innovation.
- · Indigenous communities
- · Social scientists
- · AI ethics researchers
- · Asia-Pacific educational institutions
- · Purely technical AI development paradigms
- · AI projects lacking cultural sensitivity
- · Developers ignoring human-centered design
Increased development of AI models tailored to specific cultural norms and values.
Greater demand for interdisciplinary AI education combining technical skills with humanities and social sciences.
Emergence of new AI-driven cultural preservation methods and educational tools tailored for diverse global contexts.
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Read at arXiv cs.AI