Knowledge Check: Data Quality

Test your understanding of WHO data quality considerations for AI in health.

Passing score: 70%

1. Before releasing an AI system, WHO recommends developers consider:

2. WHO highlights data labelling quality factors including: (Select all that apply)

Select all that apply

3. Bias and missing data concerns are unique to AI and do not appear in conventional healthcare data.