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AI Literacy · AI-202

Evaluating AI-Generated Content

Verify claims, evaluate sources, identify hallucinations, and document responsible decisions about AI output.

LEVELIntermediate
LESSON TIMEAbout 5 hours
FORMAT6 self-paced lessons
PATHWAYCDAP required

Practice and the final project time is additional to the lesson estimate.

Check if it fits youSee the full syllabus

IS THIS COURSE FOR YOU?

What to expect from Evaluating AI-Generated Content

Anyone who reviews, shares, or relies on AI-generated information.

What you will learn

  • Detect unsupported or misleading claims
  • Evaluate source quality
  • Record an evidence-based verification decision

LESSON OUTLINE SAMPLE

Recognize hallucinations and false confidence

Recognize hallucinations and false confidence is more than a term to remember: it is a practical skill that requires you to understand the situation, select an appropriate method, complete the work carefully, and verify the result. Use this study guide to connect the underlying ideas to the decisions you will make in the lesson activity.

This sample shows the lesson goals and selected takeaways. Enroll to access the complete lesson notes, activities, and assignments.

What this lesson covers

  • Explain the essential ideas in Recognize hallucinations and false confidence.
  • Apply the skill to a realistic AI-supported task.
  • Document the evidence, safety checks, and human judgment used.

Selected takeaways

  • AI-generated content should be treated as an unverified draft. Strong evaluation separates claims from evidence, checks primary or authoritative sources, looks for missing context and bias, and records what was verified, corrected, rejected, or still remains uncertain.
  • Identify hallucinations, unsupported claims, false precision, and missing context.
  • Human review and documented verification are required before important AI output is used.

COMPLETE SYLLABUS

3 modules · 6 lessons

6 follow-up assignments · 3 assessments
01
Recognize unreliable AI outputIdentify hallucinations, unsupported claims, false precision, and missing context.
2 lessons
  1. 1.1Recognize hallucinations and false confidence
  2. 1.2Separate claims, opinions, and evidence
02
Verify with reliable evidenceUse lateral reading, authoritative sources, and direct comparison to check important claims.
2 lessons
  1. 2.1Evaluate source authority and relevance
  2. 2.2Fact-check claims with lateral reading
03
Document a responsible decisionRecord corrections, uncertainty, citations, and the reasoning behind accepting or rejecting output.
2 lessons
  1. 3.1Record verification and corrections
  2. 3.2Decide when content is safe to use

FINAL COURSE PROJECT

AI Output Verification Case File

Submit an annotated case file with claim checks, authoritative sources, bias analysis, corrections and a publication decision, supporting evidence of your process, and a concise reflection. Do not include passwords, private records or confidential information.

Approximately 4 hours · Instructor reviewed

How success is evaluated

  • The project responds directly to the stated audience, purpose and scenario.
  • The submitted artifact demonstrates skills from multiple modules rather than one isolated lesson.
  • The learner provides evidence of testing, verification and revision.
  • The work addresses evidence quality, factual accuracy, relevance, bias and transparent corrections.
  • The explanation is original, clear, well organized and suitable for instructor review.

GRADING AND CERTIFICATE POLICY

Progress by demonstrating mastery

This course is completed through verified evidence of learning—not by averaging every activity into a traditional grade. You can use feedback, revise your work, and resubmit when an instructor requests changes.

  1. Complete the lessonsFinish the required lessons and applied practice in the published course release.
  2. Pass knowledge checksMeet each assessment’s published passing score. Attempt limits and retry guidance are shown before starting.
  3. Demonstrate practical skillsSubmit required assignments using safe, non-confidential evidence and receive instructor approval.
  4. Pass the final projectComplete the course-specific project and satisfy its published marking rubric. Revise and resubmit when requested.
  5. Unlock the certificateThe certificate becomes eligible only after every required lesson, assessment, assignment approval, and final-project requirement is verified.
How grading decisions are made
  • Courses use mastery-based completion rather than an averaged GPA or assignment-category percentage.
  • Practice activities help learners improve and do not reduce a course grade.
  • The rubric displayed with the active assignment in My Learning is authoritative.
  • Accuracy, safety, privacy, accessibility, or ethical failures may require revision even when other work is strong.
  • Instructor feedback and earlier submissions remain visible when work is revised and resubmitted.

Published assessment requirements: Recognize unreliable AI output knowledge check: 75% passing score, up to 3 attempts · Verify with reliable evidence knowledge check: 75% passing score, up to 3 attempts · Document a responsible decision knowledge check: 75% passing score, up to 3 attempts

Ready to begin?

Study at your pace and keep access to your learning record and feedback.

Evaluating AI-Generated Content