National Institutes of Health (NIH): Ethical Guidelines for AI in Healthcare
The National Institutes of Health (NIH) has developed ethical guidelines to address the complexities and challenges posed by AI technologies in healthcare research. These guidelines focus on promoting responsible data management, algorithmic transparency, and patient privacy.
Ethical Concerns
- Informed Consent:
- The NIH stresses the importance of obtaining informed consent from patients when using their data for AI applications. Patients should be fully aware of how their health information will be used, ensuring that they have the opportunity to make informed decisions regarding their participation(CDC)(EY US).
- Data Privacy:
- Algorithmic Bias:
Recommendations for Responsible AI Use
The NIH’s guidelines recommend:
- Robust Data Governance:
- Transparency and Accountability:
The NIH’s ethical guidelines serve as a framework for researchers and developers working with AI in healthcare. By prioritizing ethical considerations, the NIH aims to ensure that AI technologies enhance patient care while safeguarding individual rights. For more insights into the NIH’s ethical guidelines, visit their website here.