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Artificial Intelligence as a Research Extender, Not a Shortcut.

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Summary

This summary is machine-generated.

Responsible artificial intelligence (AI) integration in scholarship presents an opportunity, not a threat, to scientific rigor. Defining best practices for AI use is a collective scientific responsibility.

Keywords:

artificial intelligence ethics research scholarly publishing systematic reviews

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Published on: September 26, 2025

Area of Science:

Scholarship and scientific research

Background:

The increasing prevalence of artificial intelligence (AI) tools in academic settings necessitates a discussion on their impact on scientific integrity.
Existing frameworks may not adequately address the nuances of AI application in research.

Purpose of the Study:

To explore the role of artificial intelligence (AI) in scholarly pursuits.
To evaluate whether AI integration poses a risk or offers an opportunity for scientific rigor.
To emphasize the need for community-driven best practices in AI utilization.

Main Methods:

Literature review of current AI applications in research.
Analysis of potential impacts of AI on scientific methodology and outcomes.
Synthesis of expert opinions on ethical AI implementation in academia.

Main Results:

AI integration in scholarship is not inherently detrimental to scientific rigor.
AI presents significant opportunities to enhance research processes and outcomes.
The scientific community's active role in establishing guidelines is crucial.

Conclusions:

Responsible AI adoption can bolster, rather than undermine, scientific rigor.
Establishing clear best practices for AI in scholarship is an immediate and collective imperative.