AI-Empowered Human Research Integrating Brain Science and Social Sciences Insights

TL;DR

This paper advocates for integrating AI into human research in brain and social sciences, proposing new paradigms and collaboration models to foster innovative interdisciplinary research.

Contribution

It introduces two novel human-AI joint research paradigms and three collaboration models, advancing the methodology for interdisciplinary AI-human research.

Findings

Proposes AI-Brain Science and AI-Social Sciences research paradigms

Defines three AI-human collaboration models: ART, ARA, ARP

Outlines methods for conducting human-AI joint research

Abstract

This paper explores the transformative role of artificial intelligence (AI) in enhancing scientific research, particularly in the fields of brain science and social sciences. We analyze the fundamental aspects of human research and argue that it is high time for researchers to transition to human-AI joint research. Building upon this foundation, we propose two innovative research paradigms of human-AI joint research: "AI-Brain Science Research Paradigm" and "AI-Social Sciences Research Paradigm". In these paradigms, we introduce three human-AI collaboration models: AI as a research tool (ART), AI as a research assistant (ARA), and AI as a research participant (ARP). Furthermore, we outline the methods for conducting human-AI joint research. This paper seeks to redefine the collaborative interactions between human researchers and AI system, setting the stage for future research directions and sparking innovation in this interdisciplinary field.