Ethics in the World of Artificial Intelligence

Area of Science:

• Biomedical ethics
• Artificial intelligence in healthcare
• Dental technology

Background:

• Traditional biomedical ethics principles (autonomy, beneficence, nonmaleficence, justice) are foundational for new health technologies.
• These principles require adaptation and expansion to effectively guide the development and implementation of artificial intelligence (AI).

Purpose of the Study:

• To expand upon core biomedical ethics principles for the responsible development of AI in healthcare.
• To identify practical challenges and opportunities for AI integration in dentistry.
• To ensure AI development optimizes patient accessibility, provider usability, and clinical outcomes.

Main Methods:

• Review and adaptation of established biomedical ethics principles.
• Analysis of practical challenges identified in AI implementation across healthcare.
• Integration of experiences from medical and dental specialties.

Main Results:

• Vague ethical principles necessitate expanded guidelines for AI development.
• Practical challenges must be incorporated to optimize AI's impact on patient accessibility, provider use, and outcomes.
• AI holds significant potential for positive outcomes in dentistry when guided by ethical considerations and practical insights.

Conclusions:

• Expanded ethical guidelines and practical considerations are crucial for advancing AI in dentistry.
• AI development in dentistry requires a multidisciplinary approach, drawing from both medical and dental expertise.
• Strategic guidance is essential to harness AI's potential for improved patient care and provider efficiency.