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

Feng Xiong, Xinguo Yu, Hon Wai Leong

TL;DR

The collaborative interactions between human researchers and AI system are redefined, setting the stage for future research directions and sparking innovation in this interdisciplinary field.

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.

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

TL;DR

The collaborative interactions between human researchers and AI system are redefined, setting the stage for future research directions and sparking innovation in this interdisciplinary field.

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.

Paper Structure

This paper contains 18 sections, 3 figures.

Table of Contents

  1. Introduction
  2. Related Work
  3. Preliminary Application of AI in Scientific Research
  4. Challenges of Integrating AI with Traditional Disciplines
  5. Emergence of New Research Paradigms
  6. Ethical Considerations in Human-AI Joint Research
  7. Fundamentals of Human Research
  8. Cognition and Emotion in Human Research
  9. Fundamentals of Human Collaborative Learning
  10. From Human Research to Human-AI Joint Research
  11. New Research Paradigms of Human-AI Joint Research
  12. AI as Research Tool Empowers Human Research
  13. AI as Research Assistant Empowers Human Research
  14. AI as Research Participant Empowers Human Research
  15. Research Methods of Human-AI Joint Research
  16. ...and 3 more sections

Figures (3)

  • Figure 1: From human-human social interaction to human-AI social interaction. The left part describes the fundamentals of human collaboration. The right part represents the inclusion of AI in human interactions forms a new paradigm, where human and AI actively collaborate. Insights from brain science and social sciences will drive advancements in human-AI joint research.
  • Figure 2: Human-AI collaboration models and new research paradigms of human-AI joint research. (a) Three human-AI collaboration models in research process: AI as a research tool (ART), AI as a research assistant (ARA), and AI as a research participant (ARP). (b) New research paradigms emerging from AI's integration into brain science and social sciences: AI-Brain Science Research Paradigm and AI-Social Science Research Paradigm.
  • Figure 3: Research methods for conducting human-AI joint research.