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Course

Responsible AI, Bias, Security, and Social Impact

Course focus:
AI Foundations

Course overview

Course Learning Outcomes

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

  • Spot common AI risk categories in everyday work.
  • Explain bias as an outcome problem, not only a data problem.
  • Create a privacy and security checklist for student or business workflows.
  • Write a responsible use note that includes human review and escalation.

After enrolling, students can complete lesson quizzes as they move through the course.

The course final assessment unlocks after all required lessons and lesson quizzes are complete.

Course Details

Duration
4 hours
Difficulty
Intermediate
Freshness
Created September 7, 2026 as original daBongo material after reviewing generic responsible AI, introductory AI, student AI literacy, and AI social-impact PDFs. Written as provider-neutral training with original examples and no copied source passages.
Prerequisites

Completion of an AI work basics or AI literacy course.

Tools / Plan Requirements

A text editor, sample scenarios, and a simple risk register.

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