Why is error analysis especially useful when the machine learning task is something people can already do reliably?

When people can perform a task reliably, their performance can be used as a reference point for analyzing model errors.

Human-Solvable Tasks and Better _____

Match each task situation to the error-analysis implication it supports.

Using Human Performance as a Benchmark for Error Analysis

What should a team expect when its system solves a problem that experienced people cannot judge reliably?

Error Analysis Always Works the Same Way for Every Task

If an ML system depends on abilities that _____ cannot reliably perform, some standard error-analysis techniques stop being useful.

Match each machine learning scenario to its consequence for error analysis tools.

Order the reasoning steps showing how human-performable tasks support better project prioritization.

Using human performance as a reference in machine learning work

When Human Benchmarks Are Unavailable

Why some error analysis methods need a human baseline