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If more than one human reference point is available, it is usually best to take the strongest realistic human or human-team result as the stand-in for near-optimal performance. For example, if a group of physicians makes 2% errors on an imaging task, that 2% rate is a sensible benchmark for the target error rate. A looser target such as 5% or 10% would be too weak, because the human team already does better.

Use the Strongest Practical Human Benchmark as a Proxy

Which human benchmark should define the proxy for optimal error in a satellite-damage inspection task?

The best available human benchmark is about _____ error.

Match each clinical baseline to its observed error rate.

Order the steps for choosing a human-performance reference point.

Question:
In a concise analytical response, explain why a 2% miss rate from the specialist review panel is a better basis than 5% or 10% when estimating the human benchmark and setting a target level.

Sample answer:
The panel's 2% miss rate is the strongest human result in the comparison set, so it is the most trustworthy estimate of what people can currently achieve. The 5% and 10% figures are not suitable benchmarks because a better human team has already reached 2%. For that reason, 2% is a sensible stand-in for both the estimated benchmark and the desired target. The actual ideal could still be lower than 2%, but it cannot be higher if the panel has already shown 2% performance.

Key points:
- 2% is the best demonstrated human result.
- 5% and 10% are weaker than the available human baseline.
- 2% can serve as both the benchmark estimate and the target.
- The true ideal may be below 2%, but not above it.

Rubric:


Selecting the Human Benchmark for a Performance Target

Scenario:
A plant-quality team is building a system to detect faulty circuit boards. Four human reference points are available: 18% error for a new trainee, 11% for a line operator with moderate experience, 7% for a senior inspector, and 3% for a two-person review team that examines each board together. Management suggests that 7% should be the goal.

Question:
Identify the problem with the proposed goal and state the human-level proxy and target error rate that the evidence supports.

Sample answer:
The 7% goal is based on the senior individual inspector, but the strongest available human comparison is the two-person review team at 3% error. That means 7% is too loose if the team can already do better. The project should use 3% as the human-level proxy and as the practical target for the system, while recognizing that the true achievable minimum could be even lower.

Key points:
- The review team performs better than the best single inspector.
- A 7% target is worse than an already demonstrated 3% result.
- Use 3% as the human-level proxy and working performance target.
- The true optimal error rate may be below 3%.

Rubric:
The response should reject 7% by citing the two-person team, recommend 3% for both the proxy and the desired target, and avoid claiming that 3% must equal the true minimum error.

Set the performance target using the strongest human benchmark, not a weaker individual baseline.

Question:
Answer in one to three sentences using the performance of the inspection committee.

Sample answer:
Because the inspection committee has already shown that it can reach a 2% error rate, any benchmark based on human performance must be at least that strong. So the best possible error rate cannot be greater than 2%, even though a lower value is still possible.

Key points:
- A 2% error rate has been achieved in practice.
- Observed performance sets an upper limit on the best achievable error.
- The true optimum may still be below 2%.

Rubric:
The answer must explain that a demonstrated 2% error rate means the optimal error rate cannot exceed 2% and could be lower.

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