HEART SPARK INTERNSHIP WEBINARS
An AI Literacy Framework for Internship Programs

Brief answer: AI literacy for interns combines privacy-aware prompting, source verification, bias and error review, transparent attribution, documented human judgment, and escalation whenever a decision requires authorized professional oversight.
Teach the limits with the uses
Interns can use AI to explore questions, organize information, compare options, and revise communication. They should also understand hallucination, outdated knowledge, bias, context loss, and confidentiality risk.
Require a verification method
Important claims should be checked against current authoritative sources. The record should distinguish source evidence, AI assistance, human revisions, and the final decision.
Define decisions AI cannot make
Programs should identify decisions requiring a qualified supervisor, licensed professional, data owner, or organizational authority. A visible escalation route turns caution into practice.
How to put this guide into practice
Begin with teach the limits with the uses. Continue through require a verification method, then use define decisions ai cannot make to turn the principle into a visible action or record. Name the responsible person, the completion point, and the date for review so the learning can carry forward.
Frequently asked question
An AI Literacy Framework for Internship Programs?
AI literacy for interns combines privacy-aware prompting, source verification, bias and error review, transparent attribution, documented human judgment, and escalation whenever a decision requires authorized professional oversight.
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