Using ChatGPT to navigate ambivalent and contradictory research findings on artificial intelligence

Area of Science:

• Artificial Intelligence
• Computer Science
• Information Science

Background:

• The rapid advancement and integration of artificial intelligence (AI) across diverse fields necessitate a clear understanding of its research landscape.
• Existing AI research presents a vast, diverse, and often contradictory body of knowledge, posing challenges for comprehension and synthesis.
• Policymakers, researchers, and practitioners face difficulties in grasping the full scope and implications of AI developments.

Purpose of the Study:

• To discuss the ambivalent and contradictory findings within the artificial intelligence (AI) research literature.
• To explore the potential utility of ChatGPT as a tool for navigating and synthesizing complex AI research.
• To provide insights into managing the challenges posed by the vast and diverse AI research landscape.

Main Methods:

• This perspective paper reviews existing literature on artificial intelligence (AI) research findings.
• It analyzes the nature of contradictory and ambivalent results in the AI domain.
• The study evaluates the applicability of ChatGPT in summarizing and making sense of AI research.

Main Results:

• AI research literature is characterized by significant diversity and frequent contradictions.
• Preliminary exploration suggests ChatGPT may offer a viable method for synthesizing AI research.
• The tool's effectiveness in navigating complex and ambivalent findings requires further investigation.

Conclusions:

• Synthesizing AI research is a critical but challenging task due to inherent complexities and contradictions.
• ChatGPT shows promise as an assistive tool for researchers and practitioners dealing with extensive AI literature.
• Further research is needed to validate and refine the use of AI tools like ChatGPT for literature review and knowledge synthesis in artificial intelligence.