Frequently Asked Questions
Artificial intelligence (AI) is increasingly shaping how we work, teach, learn, and conduct research across the university. This page offers clear, practical guidance to help you understand AI, use it effectively, and navigate important considerations. Explore the frequently asked questions below to find answers, build your confidence, and make informed decisions about using AI in your work.
What is the University of Illinois System AI Guidance Framework?
The AI Guidance Framework provides systemwide principles and best practices for the responsible, ethical, and effective use of artificial intelligence. It is designed to support innovation while managing risks related to privacy, security, fairness, and accountability. The framework serves as a baseline that campuses can adapt to their unique needs and missions.
Who should follow this guidance?
This guidance is intended for anyone using AI within the University of Illinois System, including faculty, staff, students, researchers, healthcare professionals, and administrators.
Can I use ChatGPT or other public AI tools for university work?
Yes, but only with appropriate safeguards. Public AI tools may be used with publicly available information, general questions, or non-sensitive drafts. Sensitive, confidential, regulated, or proprietary university data should never be entered into public AI tools
What information should never be entered into public AI tools?
Do not enter student records, patient information, Social Security numbers, financial account data, research data containing personally identifiable information (PII), export-controlled information, or confidential university data into public AI systems.
Are AI-generated responses always accurate?
No. Many AI systems are probabilistic and can generate errors, fabricate information, or produce inconsistent results. Users are responsible for reviewing and verifying all AI-generated content before relying on or sharing it.
When should I disclose my use of AI?
AI use should be disclosed when it meaningfully contributes to academic, research, clinical, or administrative work. Appropriate disclosure helps maintain trust, transparency, and academic integrity.
Can AI make decisions on my behalf?
AI should support human decision-making, not replace it. Human oversight is required for consequential decisions, particularly in academic, healthcare, research, and administrative contexts. Individuals remain accountable for decisions and outcomes.
How can I determine whether an AI tool is approved for university data?
Before using AI with non-public data, verify that the tool has been reviewed and approved by your university, that the specific data type is allowed, and that you understand any restrictions associated with its use. Refer to “Using University-Approved Private AI Tools” for more information.
What are the risks of bias in AI systems?
AI systems can reflect biases present in their training data. Users should critically evaluate outputs, especially when decisions affect people, and take steps to identify, mitigate, and avoid discriminatory outcomes.
Where can I get help with AI questions or concerns?
Users should consult campus-specific AI resources, IT security, privacy offices, research administration, clinical informatics teams, or the Digital Risk Office. For systemwide collaboration and guidance, users can also engage with the U of I System AI Exchange. For university specific AI resources please refer to Chicago, Springfield , and Urbana .