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AI as an accelerator for defining new problems that transcends boundaries.

Tayo Obafemi-Ajayi1, Steven F Jennings2, Yu Zhang3

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Summary

Artificial intelligence (AI) enhances interdisciplinary research by synthesizing diverse knowledge, enabling better problem definition. AI-powered tools help define complex challenges by accessing more information than human teams can alone.

Keywords:
Artificial intelligenceConvergenceInterdisciplinary scienceNo-Boundary thinkingProblem definitionTeam science

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Area of Science:

  • Knowledge Synthesis
  • Problem Definition
  • Interdisciplinary Research

Background:

  • Methodology and technology-agnostic approaches like interdisciplinary, transdisciplinary, and No-Boundary Thinking (NBT) focus on problem definition using diverse knowledge sources.
  • Historically, accessing all relevant knowledge and perspectives was a significant challenge for comprehensive problem-solving.

Discussion:

  • Recent advancements in Artificial Intelligence (AI) offer a transformative potential for problem definition in research.
  • AI's capacity to synthesize information from numerous domains surpasses individual or team capabilities, facilitating a broader understanding of complex issues.

Key Insights:

  • AI enables a quantum leap in defining new problems by leveraging its ability to synthesize knowledge across multiple domains.
  • AI tools can propose multiple candidate problem definitions by drawing upon a vast array of knowledge sources.
  • The synergy between AI and human intelligence is crucial for defining superior problems to tackle complex scholarly and societal challenges.

Outlook:

  • Future research can explore AI-driven methodologies for enhanced problem formulation.
  • The integration of AI in research promises to accelerate solutions for multifaceted global issues.
  • Continued development in AI will likely expand the scope and efficacy of No-Boundary Thinking (NBT) and related research paradigms.