Learn practical safeguards for privacy and responsible generative AI use.
An introductory course on using generative AI with care for people and information. Its four open-license selections move from practical privacy considerations to ethics, responsible-AI foundations, and research integrity. Original study activities help learners assess what may be shared, who could be affected, and when human review or a safer alternative is needed.
Identify personal or confidential information that should not be entered without authorization and safeguards. Recognize privacy, bias, accountability, and human oversight as connected responsible-use concerns. Create a basic review plan that documents purpose, affected people, safeguards, and escalation.
No AI or legal background required. Use fictional or public examples only; this course is educational and not legal advice.
Beginners who want a clear, guided introduction without unnecessary jargon
People who learn best through examples, guided lessons, and hands-on practice
Professionals, creators, and independent builders looking for a repeatable workflow
Lesson 1 is free
4 lessons · Beginner · Full course.
This course uses CC BY licensed material attributed to its content provider or uploader. Lesson playback is available only through authenticated access after publication and licensing checks pass.