Higher education certificate
A college and university student certificate on permission, authorship, research, source verification, disclosure, privacy, skill development, and responsibility for AI-assisted work.
Who it is for
This logged certificate course is designed for undergraduate and graduate students navigating course, research, internship, and professional expectations.
Progress and the final credential are saved. Institutional and assignment-level AI rules always come first.
Course map
One professor may allow AI brainstorming. Another may require an AI-free first draft. A programming course may permit debugging assistance but require you to explain every line. A research lab may prohibit placing unpublished data into external tools. A journal or internship may have its own disclosure rules. There is no single permission level that automati
AI can generate ideas, select evidence, structure an argument, write prose, produce code, choose examples, interpret results, or make decisions. You may type the final words and still have outsourced the intellectual work the assignment expected you to perform.
AI can generate keywords, suggest databases, explain unfamiliar terminology, propose related concepts, or identify possible authors and sources. That makes it useful for discovery. Discovery is not the same as evidence.
Generative AI can invent sources, combine real and false details, fabricate quotations, misstate legal cases, create incorrect statistics, or summarize a real article inaccurately. Fluency is not evidence of truth.
A citation answers where source material came from. A disclosure explains how AI affected your process. Depending on the assignment, you may need one, both, or neither. Follow the professor, institution, discipline, journal, or professional standard that applies.
Responsible academic AI use often means limiting what the tool is allowed to do. A prompt can be designed to make you think rather than make the tool produce more.
Graduate students may work with unpublished scholarship, proprietary data, human-subject information, confidential manuscripts, grant materials, professional records, or lab data. The rules for a class assignment may be much less restrictive than the rules for research or professional practice.
Do not assume that a one-to-one conversation means the information stays on your device. Protect passwords, financial information, health information, academic records, confidential work, private messages, unpublished research, and other people's information.
What learners receive
Ready when you are