Across
- 2. Bias rooted in the software's code.
- 7. Fairness in treatment outcomes for everyone.
- 8. Universal rules for AI safety.
- 9. Safeguarding patient health information.
- 10. Testing AI in clinical settings.
- 12. Unfair differences in healthcare access.
- 13. Legal responsibility for AI errors.
- 14. When AI creates false medical info.
- 15. Legal term for failing to provide proper care when using tech.
- 16. A patient's right to choose their own path.
Down
- 1. A system with hidden internal logic.
- 3. Inclusion of all groups in medical data.
- 4. The "human touch" missing from code.
- 5. Variety in the training data populations.
- 6. Permission to use data for AI training.
- 11. Constant monitoring via medical sensors.