Module 5: Evaluation, uncertainty, and error analysis

Module 5: Evaluation, uncertainty, and error analysis#

AINS6001 — Foundations of Artificial Intelligence

Essential Question#

How do we know whether an AI system is useful, robust, and honest?

Core Moves#

  • Define the problem boundary

  • Identify evidence and assumptions

  • Build or evaluate the artifact

  • Communicate limits and next actions

Lab & Assignment#

Build an evaluation table with accuracy, error slices, and uncertainty notes.

Use the assignment notebook to turn lab evidence into a defensible recommendation.