Machine Learning Transparency

Tania emphasizes the importance of explainability in machine learning models for transparency and traceability. She stresses the need for bias testing to mitigate biases early on in the data pipeline. GDPR regulations in Europe require compliance for data transparency and deletion upon customer request, highlighting the significance of understanding data sources for system assurance.