Nurse Researchers' Experiences and Perceptions of Generative AI: Qualitative Semistructured Interview Study.

Area of Science:

• Nursing Research
• Artificial Intelligence
• Qualitative Research

Background:

• Generative artificial intelligence (AI) tools, such as ChatGPT, are gaining traction among nurse researchers.
• While AI's impact is studied in other fields, nurse researchers' experiences remain underexplored.
• This study addresses the gap by investigating nurse researchers' perceptions of generative AI.

Purpose of the Study:

• To describe Chinese nurse researchers' experiences and perceptions of generative AI.
• To provide insights for future applications of generative AI in nursing research.
• To explore the evolving human-machine relationship in scientific inquiry.

Main Methods:

• Qualitative study employing semistructured interviews with 27 nurse researchers.
• Participants included nursing faculty, graduate students, and clinical nurses.
• Data analyzed using inductive content analysis to identify key themes.

Main Results:

• Five major themes emerged: human-machine symbiosis, usage experience factors, research paradigm shifts, AI application risks (limitations, ethics), and technology-literacy co-improvement.
• Researchers noted AI's potential for assistance and substitution, but also raised concerns about academic integrity.
• A need for enhanced AI literacy and AI-generated content detection tools was identified.

Conclusions:

• The interaction between nurse researchers and generative AI is a complex "symbiotic journey."
• Findings offer a foundation for harmonious coexistence and responsible integration of AI in nursing.
• Recommendations provided for nurse researchers, policymakers, and developers to advance AI in nursing research.