Guidelines

Code of Practice

At AI Campus Lab, we believe in using AI responsibly and building with integrity. These guidelines ensure everyone in our community maintains high standards.

Responsible AI Use

AI tools are powerful multipliers, but they require responsible use.

  • AI as assistant, not author

    Use AI to accelerate your learning and work, but understand what it produces.

  • Verify before trusting

    AI can make mistakes. Always verify important information and code.

  • Disclose AI assistance when appropriate

    Be transparent about AI use in professional contexts when relevant.

  • No harmful purposes

    Never use AI to create deceptive content or bypass security measures.

Privacy & Data

Handle data with care. Protecting privacy is everyone's responsibility.

  • Never share sensitive personal data

    Don't input passwords, API keys, or personal information into AI tools.

  • Be mindful of proprietary information

    Don't share proprietary code or client data with AI services.

  • Understand data retention

    Be aware that AI services may retain inputs. Use privacy modes when available.

  • Respect others' privacy

    Don't share others' personal information without consent.

Security Practices

Good security habits protect you and your users.

  • Use environment variables for secrets

    Never hardcode API keys or passwords. Always use .env files.

  • Keep .gitignore updated

    Ensure sensitive files are properly ignored in your repositories.

  • Review before committing

    Always check for accidentally included secrets or sensitive data.

  • Use HTTPS and secure connections

    Always use HTTPS when deploying. Never transmit data insecurely.

Verification

Trust but verify. Verification habits are essential for professional work.

  • Test your work

    Don't assume code works because it looks right. Test functionality and edge cases.

  • Verify AI suggestions

    Understand and test every piece of AI-generated code before using it.

  • Check before deploying

    Use preview deployments and verify everything works before production.

  • Get feedback

    Have others review your work. Fresh eyes catch issues you might miss.

Our Commitment

By participating in AI Campus Lab programs, workshops, or mentoring, you agree to follow these guidelines. They exist to create a safe, productive learning environment and to prepare you for professional work.