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AI Tools and Data Privacy: What Students and Staff Should Know

Posted in: News

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TL:DR: AI tools can be helpful–but don’t share sensitive data, don’t trust outputs blindly, and follow campus guidance. When in doubt, don’t paste it.

Artificial intelligence (AI) tools are becoming part of everyday learning and work on campus. To use them responsibly, it helps to focus on three big questions:

  • What should I watch for?
  • How should I use AI responsibly?
  • Why does the university care?

What to Watch Out For

Data privacy risk

Anything you paste into an AI tool may be stored or reused by the vendor.

  • Student records, grades, and HR information may be protected by law or contract.
  • Free consumer tools often lack strong privacy guarantees.

Security risks

AI tools and add-ons can expand the attack surface.

  • Fake or malicious AI tools may be used for phishing.
  • Browser extensions can expose accounts or data.

Bias and errors

AI can sound confident and still be wrong.

  • Outputs may reflect bias or miss context.
  • Facts, sources, and calculations should always be verified

Tip: If the data is sensitive or the outcome is high-stakes, pause before using AI.

How to Use AI Responsibly

AI works best as a support too, not as a decision-maker.

Good uses include:

  • Brainstorming ideas or outlines
  • Drafting content you will review and edit
  • Summarizing public or non-sensitive information
  • Studying concepts or improving clarity and tone

Remember:

  • Follow course, department, and university guidance on AI use
  • Don’t submit AI-generated work as your own
  • Be transparent about AI use
  • Apply human judgement before sharing an AI output

Tip: AI can help you think but shouldn’t think for you.

Why the University Cares

Trust and reputation

Irresponsible AI use can damage trust with students, employees, partners, and the public.

Strategic value

Without coordination, it’s hard to know whether AI tools are improving learning, operations or just adding risk.

The goal isn’t to block innovation, but to ensure AI supports teaching, learning, and work without compromising privacy, security, or integrity.

Want to Know More?

Forbes | The Value Of AI For Higher Education: Turning Tension Into Transformation

Inside Higher Ed | Data Shows AI ‘Disconnect’ in Higher Ed Workforce

GovTech | AI on Campus: Rethinking the Core Goals of Higher Education

Insider Higher Ed | 5 Predictions on How AI Will Shape Higher Ed in 2026