SOURCE-LINKED INTELLIGENCE
Reciprocal Collaboration: how lessons from convergence in GLAMs can enhance interdisciplinary AI research
The need for collaboration between diverse fields of research is increasingly recognised as important by research funding agencies. A significant driver of this need is the current revolution in artificial intelligence (AI) and related technologies. There is a growing interest in the potential impact of AI in different fields including the methodologies they use and the resulting advances in new knowledge, new access and enhanced productivity. However, there is also a corresponding increase in concern about the fundamentals of AI technologies and the way in which trans and/or interdisciplinary
Read original source ↗ Open in workspace
- recordType
- paper
- region
- Global
Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-22T11:27:18.000Z
First collected: 2026-09-23T04:11:12.117Z. This is not the publication date.