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

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.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/ieir62538.2024.10960181
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.36

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article

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

Wai Yie Leong, Xinguo Yu, Feng Xiong
3 citations
Artificial Intelligence in Healthcare and Education
0.36
article

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

Wai Yie Leong, Xinguo Yu, Feng Xiong
article en
3 citations

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.

National University of Singapore (SG), Central China Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 34%
Artificial Intelligence in Healthcare and Education
0.36
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