Reviewed and updated October 8, 2026.
The original infographic has been withdrawn while its methodology and supporting evidence are reviewed.
Human judgment and AI-assisted analysis have different strengths. A useful comparison starts with a defined decision, the information available to each participant, the decision criteria, and the risks of a wrong answer.
Document the decision owner, available evidence, time constraints, affected stakeholders, and approval requirements. State which parts require judgment and which parts can be evaluated against a measurable rule.
Give human participants and the AI system the same scenario, inputs, constraints, and success criteria. Record missing information and any assumptions introduced during the exercise.
Review observable actions, the evidence cited, the submitted output, exceptions identified and escalation behavior. Do not treat a model's generated explanation as a record of its internal reasoning. A confidence label is not a calibrated probability unless that has been demonstrated. A fast answer is not useful if it overlooks material context or cannot be checked by the accountable reviewer.
AI can help organize information, compare options, and surface patterns. People remain responsible for goals, policy, tradeoffs, accountability, and decisions where context or consequences cannot be reduced to a rule.
Record the model, data sources, test conditions, evaluation method, and known limitations. Do not present findings as a general benchmark unless the study design and underlying evidence support that conclusion.
| Record | What to retain |
|---|---|
| Shared task | Decision, source packet, allowed tools and resource limits |
| Observed behavior | Output, citations, tool actions, corrections and escalation |
| Review | Pre-agreed rubric, independent reviewer decisions and unresolved disagreements |
| Scope | Participants, model and system versions, repetitions and limits on interpretation |
The scenario comparison worksheet lays out an illustrative protocol for a future exercise. It reports no completed simulation or human-versus-AI result. The grading field report shows why a scoring method itself needs review.
For a scoped system evaluation, see custom AI development. Request a project review with the decision and comparison conditions you need to test.
