AI’s Potential and Risks
The WHO has released guidelines to help governments regulate AI in healthcare. While AI holds promise for improving diagnostics and treatment, it also presents risks like unethical data collection and cybersecurity threats, according to WHO Director-General Tedros Adhanom Ghebreyesus.
Key Recommendations
WHO recommends stronger regulation in several areas:
- Transparency: Document the AI’s life cycle and development.
- Risk Management: Address issues like cybersecurity, human intervention, and continuous learning.
- Data Quality: Ensure rigorous analysis to avoid bias in AI systems.
- Privacy Protection: Safeguard sensitive health data.
- Collaboration: Foster cooperation between authorities, healthcare professionals, and industry.
Focus on Data Representation
WHO highlights the need for diverse, representative data in training AI to avoid biases, especially related to sex and ethnicity, to ensure accurate outcomes in healthcare.
