Ai Best Practices

Best Practices for Using Generative AI at Barry University

Sensitive Data Guidelines

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    Data Privacy & Protection

    • Golden Rule: Avoid inputting data about others you wouldn't want shared about yourself.
    • Strict Prohibition: Never input any University Data (esp. PHI, PII, FERPA) into any AI tool without explicit ISO authorization.
    • Public Models: Using public/unvetted AI models with University Data is strictly prohibited.
    • Opt-Out: Where possible, opt out of allowing AI tools to use your inputs for model training.
    • User Consent: If using AI to interact with users, obtain their informed consent regarding data use and provide opt-out/deletion options.
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    Authorization & Approved Tools

    • Mandatory ISO Vetting & Approval: MUST get prior ISO authorization before using any AI tool with any University Data. Only ISO-vetted/approved tools are permitted.
    • Purpose Limitation: Only use approved AI tools for purposes authorized by ISO and University policy.
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    Academic & Professional Integrity

    • Transparency & Citation: Cite AI use where required/permitted by academic or professional standards.
    • Assist, Don't Replace: Use AI to assist, not replace critical thinking or original work.

    • Verification: Always critically evaluate and verify AI-generated facts or critical information.

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    Security & Compliance

    • Adhere to Policies: Strictly comply with ACUP, WISP, Password Policy, etc.
    • No Personal Devices/Storage: Do not use personal devices or personal cloud storage for University Data. Use only approved University systems (e.g., Barry OneDrive).
    • Report Concerns: Immediately report suspected misuse, breaches, or policy violations to the Information Security Office (ISO) at iso@barry.edu.
    • Mandatory Training: Stay current with required Information Security Awareness Training.
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    Ethical Considerations & Transparency

    • University Principles: Align AI use with Barry's principles: Human-Centric, Transparent, Fair, Secure, Accountable.
    • Promote Discussion: Engage in conversations about ethical AI use, limitations, and benefits.
    • Awareness of Bias: Critically assess AI outputs for potential bias stemming from training data.

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