On the importance of AI research beyond disciplines

TL;DR

This paper emphasizes the importance of interdisciplinary AI research for societal impact, advocating for diverse, inclusive frameworks that transcend traditional academic boundaries to address complex societal issues.

Contribution

It proposes guiding principles for interdisciplinary AI research to foster diversity, inclusivity, and societal relevance, highlighting the need for recognition and evaluation of such work.

Findings

Interdisciplinary AI research enhances societal understanding.

Current academic systems often overlook interdisciplinary contributions.

Guiding principles can promote inclusive and impactful AI research.

Abstract

As the impact of AI on various scientific fields is increasing, it is crucial to embrace interdisciplinary knowledge to understand the impact of technology on society. The goal is to foster a research environment beyond disciplines that values diversity and creates, critiques and develops new conceptual and theoretical frameworks. Even though research beyond disciplines is essential for understanding complex societal issues and creating positive impact it is notoriously difficult to evaluate and is often not recognized by current academic career progression. The motivation for this paper is to engage in broad discussion across disciplines and identify guiding principles fir AI research beyond disciplines in a structured and inclusive way, revealing new perspectives and contributing to societal and human wellbeing and sustainability.