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Hi Moose,
Thank you for circling back on this, and you were absolutely right from the start.
The original wording, “The AI model provides a detailed breakdown of how it arrives at its recommendations” really does point to Explainability, not Transparency. This has already been fixed, and the updated version is now live on the portal.
Here’s what we changed: instead of just swapping the answer, we reworded the scenario so it genuinely tests Transparency: “The company openly shares information about the AI system’s overall functioning, data sources, and development process.” We also cleaned up the explanation, which previously described Transparency using explainability language (which is exactly what made it confusing).
The simple way to keep them apart:
– Explainability — why did the model make this specific decision?
– Transparency — openness about how the whole system works, its data, and how it was built.
Thank you again for pushing on this. Feedback like yours genuinely makes our material better, and we appreciate you taking the time.
Warm regards,
Irene @ Tutorials Dojo
