How to Write a Responsible AI Policy for Interns

Define approved uses in context

Name the tools participants may use and the activities those tools may support, such as question development, outlining, comparison, explanation, and revision. Connect every use to the governing requirements of the project and the information the intern may access.

Protect information before the prompt

Prohibit patient information, personal identifiers, passwords, confidential business records, private links, protected research data, and information the participant lacks permission to share. Provide an authorized route for questions that require sensitive context.

Require verification and human judgment

Important claims should be checked against current authoritative sources. The intern should review for error, bias, missing context, unsupported certainty, and professional implications. Authorized people retain responsibility for medical, legal, financial, research, operational, and reputational decisions.

Preserve a useful reasoning record

When the program requests a record, capture the question, relevant exchange, sources consulted, human revisions, final conclusion, and privacy confirmation. State when AI assistance should be disclosed and how concerns or uncertain outputs should be escalated.

How to put this guide into practice

Begin with define approved uses in context. Continue through protect information before the prompt, then use require verification and human judgment 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

How do you Write a Responsible AI Policy for Interns?

A responsible AI policy for interns should define approved tools and uses, prohibited information, verification standards, attribution expectations, human decision responsibility, recordkeeping, and escalation for consequential work.