In this episode, Roland Brown discusses the importance of explainability in AI systems, emphasizing that it begins in the architecture. He highlights the significance of metadata as the architecture of meaning and lineage as a key factor in establishing trust and responsibility in AI systems.

Takeaways

• Explainability begins in the architecture
• Metadata is the architecture of meaning
• Lineage is about responsibility

🎧 Listen to The Data Journey wherever you get your podcasts, or visit thedatajourney.com