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AI Literacy · AI-103

Responsible AI

Use AI safely and ethically while checking for bias, misinformation, privacy risks, and errors.

LEVELBeginner to intermediate
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 Responsible AI

Learners and professionals who make or support decisions involving AI.

What you will learn

  • Identify bias, privacy, and reliability risks
  • Apply responsible-use principles
  • Document human oversight and accountability

LESSON OUTLINE SAMPLE

Who is responsible for AI decisions

Who is responsible for AI decisions 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 purpose and everyday value of Responsible AI.
  • Recognize the core skills and safe practices introduced in this course.
  • Apply the introductory concepts to a realistic activity.

Selected takeaways

  • Responsible AI requires privacy, fairness, transparency, accuracy, accessibility, and human accountability. AI output may reflect bias in its training data or omit important context. People remain responsible for checking evidence, protecting affected individuals, documenting decisions, and knowing when AI should not be used.
  • Responsible use foundations: Understand accountability, transparency, and human oversight.
  • For Getting started with Responsible AI, practice with sample information, verify the result, and record the safe process you followed.

COMPLETE SYLLABUS

3 modules · 6 lessons

6 follow-up assignments · 3 assessments
01
Responsible use foundationsUnderstand accountability, transparency, and human oversight.
2 lessons
  1. 1.1Who is responsible for AI decisions
  2. 1.2Protect privacy when using AI
02
Bias and reliabilityIdentify unfair patterns, misinformation, and unsupported claims.
2 lessons
  1. 2.1Recognize bias in AI outputs
  2. 2.2Verify facts and sources
03
Safe decisions with AIApply responsible practices at school, work, and home.
2 lessons
  1. 3.1Choose when not to use AI
  2. 3.2Create a responsible AI checklist

FINAL COURSE PROJECT

Responsible AI Review

Submit a responsible-AI assessment with stakeholder analysis, risk register, safeguards and approval recommendation, 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 fairness, privacy, explainability, accessibility and accountable human decisions.
  • 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: Responsible use foundations knowledge check: 75% passing score, up to 3 attempts · Bias and reliability knowledge check: 75% passing score, up to 3 attempts · Safe decisions with AI 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.

Responsible AI