Generative AI: Opportunities, Risks, and Responsibilities for Oral Sciences

Area of Science:

• Dental research
• Oral health
• Craniofacial science

Background:

• Generative artificial intelligence (AI) is increasingly impacting scientific research, including dental and oral studies.
• AI offers capabilities to analyze data, enhance workflows, and accelerate discovery.

Purpose of the Study:

• To explore the potential benefits and challenges of integrating generative AI in dental and oral research.
• To highlight ethical, societal, and scientific concerns associated with AI in research.
• To provide recommendations for responsible AI implementation in the field.

Main Methods:

• Review of AI capabilities in data analysis, summarization, and content generation.
• Analysis of ethical considerations including bias, fraud, and reproducibility.
• Examination of current guidelines and recommendations for AI use in science.

Main Results:

• Generative AI can significantly improve documentation, communication, and discovery in dental research.
• Key challenges include data bias, automation bias, AI hallucinations, plagiarism, and fraud.
• Growing risk of AI-exploiting paper mills producing fabricated research.

Conclusions:

• Responsible AI integration requires transparency, robust verification, ethical compliance, and clear documentation.
• Proactive measures and collaborative action are essential to combat AI-driven scientific misconduct.
• Adaptive guidelines are needed to ensure AI advances, rather than undermines, the integrity of dental and oral science.