HUMAN JUDGMENT IN THE AI ERA

Think with AI. Keep the judgment human.

Critical Thinking, Decision-Making & AI Literacy

A PRACTICAL JUDGMENT FRAMEWORK

Decide what deserves belief—and what should follow.

Separate claims from conclusions, investigate sources, evaluate evidence, test alternatives and make uncertainty visible before acting. AI can help explore this process; it cannot own the result.

QUESTION → VERIFY → ANALYZE → CHALLENGE → DECIDE → REVIEW.

01 / Understand

What does good judgment require?

Follow the claim through its source, evidence, assumptions, alternatives and uncertainty before deciding what it supports.

Explainer

What Is Critical Thinking?

Understand critical thinking as disciplined evaluation of claims, evidence, assumptions, alternatives and uncertainty before reaching a judgment.

2 min read

02 / Question

What problem are we actually trying to solve?

Follow the claim through its source, evidence, assumptions, alternatives and uncertainty before deciding what it supports.

Existing OpenSkool field note

Better work begins with better questions

Separate the request from the problem, make assumptions visible and finish with an answerable next question.

Reused without duplication

03 / Verify

What evidence supports the claim, and how good is the source?

Follow the claim through its source, evidence, assumptions, alternatives and uncertainty before deciding what it supports.

Practical guide

How to Evaluate Evidence

Evaluate whether evidence is relevant, credible, sufficient, current, methodologically sound and consistent with the wider body of knowledge.

2 min read

Practical guide

How to Evaluate Sources

Assess source expertise, proximity, incentives, transparency, citations, independence, recency and corroboration without relying on appearance alone.

2 min read

Practical guide

How to Verify AI-Generated Information

A practical process for checking AI-generated claims, citations, dates and numbers, with a worked example and a reusable evidence record.

3 min read

04 / Analyze

What does the information show—and what does it not show?

Follow the claim through its source, evidence, assumptions, alternatives and uncertainty before deciding what it supports.

Comparison

Correlation vs Causation

Understand why variables moving together do not by themselves show that one produced the other, and test alternative causal explanations.

2 min read

Practical guide

How to Recognize Misleading Statistics

Interpret percentages, averages, samples, denominators and charts with enough context to avoid both blind trust and blanket distrust of data.

2 min read

Explainer

When Data Is Not Enough

Recognize when incomplete data, new situations, competing objectives, qualitative evidence and values require explicit judgment.

2 min read

05 / Challenge

Which assumptions and alternative explanations deserve attention?

Follow the claim through its source, evidence, assumptions, alternatives and uncertainty before deciding what it supports.

Practical guide

How Cognitive Biases Affect Decisions

Recognize selected judgment biases by the decisions they distort, then use practical checks without assuming awareness eliminates bias.

2 min read

Practical guide

How to Compare Conflicting Claims

Compare competing claims by aligning definitions, context, evidence and uncertainty without assuming every side has equal support.

2 min read

06 / Decide

How should we act while uncertainty remains?

Follow the claim through its source, evidence, assumptions, alternatives and uncertainty before deciding what it supports.

Practical guide

Decision-Making Under Uncertainty

Act without false certainty by comparing scenarios, consequences, reversibility, timing and the value of obtaining more information.

2 min read

Practical guide

Building a Personal Decision Framework

Use a repeatable process to define a decision, inspect evidence and assumptions, compare options, manage risk and review the outcome.

2 min read

07 / AI & Human Judgment

How can AI expand our thinking without becoming the authority?

Follow the claim through its source, evidence, assumptions, alternatives and uncertainty before deciding what it supports.

Question

Why Does AI Hallucinate?

Why AI can produce plausible but false answers, what grounding can and cannot fix, and how to respond when the evidence is missing.

2 min read

08 / Perspectives

What becomes more important when convincing answers are easy to produce?

Follow the claim through its source, evidence, assumptions, alternatives and uncertainty before deciding what it supports.

Perspective

Critical Thinking in the Age of AI

OpenSkool's argument for an education that values the ability to question, verify and defend a judgement as AI makes finished answers easier to obtain.

4 min read

Keep a decision trail.

Record the claim, evidence, assumptions, alternatives, uncertainty, decision and review trigger. A good outcome does not automatically prove the decision process was sound—and a bad outcome can occur after a well-reasoned choice.

Examine the data ↗ · Evaluate deceptive claims safely ↗