Ethics of Artificial Intelligence in Breast Imaging

Area of Science:

• Medical Imaging
• Artificial Intelligence
• Bioethics

Background:

• Growing interest in AI for medical imaging, particularly breast imaging.
• Need for ethical frameworks to address AI's potential for harm and scale of application.
• Existing bioethical principles (autonomy, beneficence, non-maleficence, justice) provide a foundation.

Approach:

• Incorporating a fifth principle: explicability, crucial for AI considerations.
• Reviewing definitions of each bioethical principle.
• Providing practical examples of principle application to breast imaging.

Key Points:

• AI in breast imaging necessitates ethical evaluation.
• Established bioethical principles are adaptable to AI.
• Explicability is a vital addition for AI ethics.
• Practical application examples aid responsible implementation.

Conclusions:

• Ethical frameworks are essential for AI in breast imaging.
• A five-principle framework (including explicability) offers comprehensive guidance.
• Responsible AI integration requires careful consideration of ethical implications.