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Understanding ChatGPT – What It Is and How It Works

Lesson 4: The Four-Tier Verification Framework – Applied

Lesson Objectives

By the end of this lesson, students should be able to:

  • Apply the four-tier verification framework to a diverse range of real-world situations
  • Use the consequential decision test to determine the appropriate tier
  • Recognize the fluency trap in practice
  • Identify the five non-negotiable professional review categories

Lesson Content

Quick review: the four tiers.

  • Tier 1 – Low stakes: Plausibility check. Easy to correct if wrong. (Brainstorming, casual learning, organizing your thoughts)
  • Tier 2 – Medium stakes: Spot-check important claims. (Client-facing outputs, information you will share publicly, decisions with meaningful cost)
  • Tier 3 – High stakes: Verify all material claims. (Financial analysis, leadership presentations, professional documents)
  • Tier 4 – Non-negotiable: Licensed professional review required regardless of output quality. (Medical, legal, financial investment, safety-critical)

The consequential decision test.

Before using any ChatGPT output: *"If this is wrong, what is the worst realistic outcome?"*

  • Outcome: easily fixed, low cost – Tier 1
  • Outcome: embarrassment, wasted time, meaningful cost – Tier 2
  • Outcome: significant professional, financial, or reputational harm – Tier 3
  • Outcome: health, legal liability, irreversible financial harm – Tier 4

Applying the test across common situations.

| Situation | Worst Case if Wrong | Tier | |———–|——————–|—-| | Brainstorming idea names for a project | Weak ideas – easy to discard | 1 | | Drafting an internal team email | Minor miscommunication | 1-2 | | Summary of a report for a client presentation | Client receives incorrect information | 2-3 | | Statistics cited in a document to leadership | Leadership makes a decision on bad data | 3 | | Legal contract language | Legal liability, contract disputes | 4 | | Medical dosage or treatment information | Patient harm | 4 |

The five non-negotiable professional review categories.

These five categories are always Tier 4 – no exceptions, regardless of ChatGPT's output quality:

  1. Legal decisions: Contract terms, regulatory compliance, legal strategy – licensed attorney
  2. Medical decisions: Diagnosis, treatment, medication – licensed physician or appropriate provider
  3. Financial investment advice: Investment strategy, tax planning, retirement – licensed financial advisor or CPA
  4. HR and employment decisions: Termination, accommodation, classification – HR expertise + legal counsel
  5. Safety-critical engineering: Structural designs, safety systems – licensed engineer

The fluency trap in practice.

Recognizing it: ChatGPT produces a response with a precise-sounding statistic, a confident recommendation, or a detailed explanation. It is well-written, well-organized, and reads authoritatively. Without independent verification, the quality of the writing creates an impression of accuracy.

Defending against it: Ask "how would I verify this?" before acting on any specific factual claim. If you cannot describe how to verify it, that is your signal to find out how before acting.

Jamie Practice Lab

Before moving to the quiz, complete this short applied exercise:

  1. Write one realistic ChatGPT prompt that applies the main idea from The Four-Tier Verification Framework – Applied to your own work, learning, or daily life.
  2. Add one safety or verification step you would take before acting on ChatGPT's response.
  3. Revise the prompt once to include clearer context, constraints, or success criteria.

Instructor check: A strong answer should show practical use, human review, and awareness that ChatGPT output is assistance – not automatic truth or professional advice.

Added Quiz Enhancement

question_id: auto-enhancement-the-four-tier-verification-framework-applied-qjamie001 question_type: short_answer difficulty: applied question: Write one prompt you could use after this lesson, then name one verification or human-review step you would apply before relying on the result. correct_answer: Answers will vary; a strong answer includes a clear task, relevant context, at least one constraint or desired format, and a realistic verification or human-review step based on the stakes of the task. answer_explanation: This applied question checks whether the student can transfer the lesson into real use while maintaining responsible AI habits.

Lesson Quiz

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