Improving accessibility of scientific research by artificial intelligence-An example for lay abstract generation

Area of Science:

• Scientific Communication
• Artificial Intelligence

Background:

• Communicating complex scientific research to the public is challenging.
• Lay abstracts simplify scientific findings for broader understanding.
• Ensuring accuracy and clarity in scientific communication is crucial.

Purpose of the Study:

• To evaluate the potential of artificial intelligence (AI) language models in generating lay abstracts.
• To assess the linguistic quality and accuracy of AI-generated lay abstracts.
• To explore the benefits of lay abstracts in enhancing scientific research visibility and impact.

Main Methods:

• Generated lay abstracts using various AI language tools for recently published scientific articles.
• Assessed the linguistic quality of the AI-generated abstracts.
• Validated the accuracy of the AI-generated abstracts against the original research findings.

Main Results:

• AI-generated lay abstracts demonstrated high linguistic quality.
• The abstracts accurately represented the core findings of the original scientific articles.
• AI tools show promise in producing consistent and clear summaries.

Conclusions:

• AI language models can effectively produce lay abstracts, improving scientific transparency and impact.
• Lay abstracts increase research visibility and public engagement.
• Further validation of AI model coherence and accuracy is necessary for unrestricted application.