Critical Thinking with AI: Verify, Challenge and Decide

This course contains the use of Artificial Intelligence (AI).

Critical Thinking with AI: Verify, Challenge and Decide

Generative AI can produce polished answers in seconds. It can summarize reports, compare options, recommend next steps, generate scenarios, and organize information with remarkable speed.

The problem is that fluent output can still be incomplete, biased, unsupported, outdated, or simply wrong.

Critical thinking with AI is not about distrusting technology. It is about knowing how to use it without giving up your own judgment.

This course teaches you how to question AI-generated claims, verify evidence, identify hidden assumptions, recognize missing context, challenge recommendations, and decide what deserves your confidence.

You will learn a practical method for using Generative AI as a thinking partner without allowing it to become the decision-maker.

Learn to Think Critically About AI-Generated Answers

AI often sounds confident even when the evidence is weak.

You will learn how to distinguish between a polished answer and a well-supported answer.

The course explores common AI failure patterns such as hallucinations, missing context, outdated information, overgeneralization, inconsistent reasoning, and unsupported conclusions.

You will also learn when AI is most useful for drafting, summarizing, brainstorming, organizing information, identifying patterns, and exploring possibilities—and when stronger human review is required.

Define the Decision Before You Ask AI for Answers

More information does not always create more clarity.

Before asking Generative AI for analysis or recommendations, you need to know what decision you are actually trying to make.

You will learn how to define the choice, timeline, desired impact, and assumptions behind a decision so AI-generated information remains relevant rather than creating more noise.

This helps prevent a common mistake: allowing available data, dashboards, or AI output to define the problem instead of supporting the decision.

Challenge Assumptions and Ask Better Questions

Strong critical thinking begins with better questions.

You will learn how to identify assumptions that may be shaping a conclusion, test whether those assumptions are reasonable, and look for important information that may have been overlooked.

Instead of asking only whether an AI answer sounds correct, you will learn to ask:

What is the claim?

What evidence supports it?

What assumptions are hidden?

What might be missing?

What would change the conclusion?

What requires independent verification?

These questions help turn AI from an answer machine into a tool for deeper reasoning.

Recognize Bias in Both Human and AI-Assisted Thinking

Bias does not begin or end with artificial intelligence.

Human cognitive biases such as confirmation bias, anchoring, availability, groupthink, status quo bias, and overconfidence can influence what we ask AI, what we notice in its response, and what we choose to accept.

You will also learn how to recognize bias, weak evidence, unsupported conclusions, and hidden assumptions inside AI-generated output.

Understanding both sides of the interaction helps you become a more disciplined reviewer.

Fact-Check AI Claims Before You Use Them

Generative AI can produce convincing explanations, summaries, statistics, comparisons, and even sources that require verification.

You will learn how to review AI-generated work before using it in a report, recommendation, presentation, customer communication, analysis, or business decision.

The course includes a visible fact-checking exercise that helps you separate claims from evidence, identify missing context, and determine what needs independent confirmation.

You will practice applying the course framework to realistic AI-generated information rather than relying on confidence or writing quality alone.

Use AI to Challenge Your Own Thinking

Critical thinking with AI is not only about catching errors.

Used well, Generative AI can help you expand your thinking.

You will learn how to use AI to explore alternative explanations, generate counterarguments, compare tradeoffs, test assumptions, and examine different scenarios.

This can help you move beyond your first idea and consider perspectives you might otherwise overlook.

The goal is not to ask AI to make the decision for you.

The goal is to use it to make your own thinking more complete.

Keep Human Judgment in Control

Placing a human somewhere in an AI-supported process does not automatically mean meaningful human judgment exists.

You will learn how to evaluate whether people can genuinely question, correct, override, and challenge an AI-supported result.

As the possible consequences increase, the need for human review should increase as well.

This is especially important when AI contributes to decisions involving money, employment, safety, access, reputation, customers, or other significant outcomes.

Apply a Repeatable Critical Thinking With AI Framework

Throughout the course, you will use the practical method:

CLAIM → EVIDENCE → ASSUMPTIONS → MISSING → CHALLENGE → VERIFY → DECIDE

Use it to evaluate AI-generated summaries, recommendations, analyses, comparisons, and decision-support output.

The framework gives you a repeatable way to slow down confident AI output and determine what actually deserves trust.

Use the Critical Thinking With AI Toolkit

You will receive a practical toolkit designed to help you apply the course immediately.

The toolkit supports:

• AI claim and evidence review

• assumption testing

• missing-context questions

• human bias and AI-output bias checks

• source and verification review

• counterarguments and alternative explanations

• tradeoff and scenario analysis

• human judgment checks

• higher-consequence AI review

Written application lectures inside the curriculum will direct you back to the relevant tools so the toolkit becomes part of the learning process rather than simply another download.

Practice in an Interactive Role Play

Knowing what critical thinking looks like is different from using it when an AI recommendation sounds reasonable.

In the interactive Role Play, you will evaluate an AI-supported recommendation that contains useful information but also incomplete evidence, hidden assumptions, and missing context.

You will need to question the recommendation, identify what requires verification, consider alternatives, and decide what action should come next.

The goal is not automatic acceptance or automatic rejection.

It is disciplined human judgment.

Who This Course Is For

This course is designed for professionals who use Generative AI for research, summaries, recommendations, brainstorming, planning, comparisons, decision support, analysis, or written work.

It is especially useful for managers, team leaders, project leaders, business professionals, analysts, consultants, educators, administrators, and aspiring leaders who want AI to improve their work without replacing their reasoning.

No coding, programming, data science, or machine learning background is required.

Why This Course Matters Now

Generative AI is becoming easier to use.

That does not make it easier to judge.

The more fluent AI becomes, the more important it is to know when an answer deserves confidence, when it needs verification, and when human judgment must take priority.

The competitive advantage is not simply knowing how to get an answer from AI.

It is knowing how to verify it, challenge it, and decide what to do with it.

Join me in Critical Thinking with AI: Verify, Challenge and Decide and build the judgment skills needed to use Generative AI with greater confidence, discipline, and independence.