AI BASICS
What does the Ethical Use of GenAI Mean for Faculty and Students?
By the end of this unit, you will be able to explain why ethical use of GenAI tools matters in academic and professional settings, identify key risks and responsibilities, and apply practical strategies to use GenAI tools responsibly, transparently, and in alignment with institutional expectations.
Key Takeaways
- Ethical use of GenAI means transparency, accountability, and privacy.
- Institutional policies come first—know your boundaries.
- GenAI should enhance—not replace—your own thinking and communication.
Why Ethics Matter
Generative AI tools are powerful, but they are not neutral. They can help you brainstorm, summarize, and draft content—but they can also produce biased, fabricated, or misleading outputs. Using them without transparency, attribution, or awareness of institutional guidelines can lead to academic integrity violations or misuse of sensitive data.
Ethical GenAI use means understanding what the tool can and cannot do, respecting privacy boundaries, and taking ownership of your work—even when AI helps.
Common Ethical Risks When Using GenAI
Plagiarsim
Submitting AI-generated work as your own original thinking without acknowledgment.
Fabrication
Using AI-generated statistics, citations, or quotes that are inaccurate or do not exist.
Harmful Assumptions
Accepting AI outputs that reinforce harmful stereotypes without scrutiny.
Privacy Breaches
Entering confidential or identifiable student or institutional data into public GenAI platforms, which may store, reuse, or leak submitted data, entering student or institutional information. This can violate privacy laws like FERPA and expose sensitive records to unauthorized access.
Guidelines for Ethical Use
Examples: Applying Ethical Use in Practice
Students
Scenario | Ethical? | Why / Why Not |
You use GenAI to brainstorm ideas and then write your own draft, following guidelines in the syllabus that allow AI use. | ✅ Yes | AI supported idea generation, but the work is yours. |
You paste an AI-generated output into your submission without citation or revision. | ❌ No | This misrepresents authorship and may violate academic integrity policies. |
You ask GenAI to quiz you on a reading, then double-check the questions with the source text. | ✅ Yes | This supports active learning and critical thinking. |
You enter a classmate’s work into ChatGPT to “get a better version.” | ❌ No | This breaches trust, privacy, and collaboration ethics. |
Faculty
Scenario | Ethical? | Why / Why Not |
You use GenAI to generate quiz questions and then edit them before publishing. | ✅ Yes | You reviewed and contextualized AI output before use. |
You enter the student’s submission with their name into ChatGPT for feedback suggestions. | ❌ No | Public tools may store the data, violating FERPA. |
You paste a student’s draft into CUNY Copilot, use it to generate feedback suggestions, then review and personalize the comments before sharing. | ✅ Yes | You are using an institutionally approved tool responsibly, with human oversight to ensure relevance and accuracy. |
You copy a student’s essay into CUNY Copilot and paste the AI-generated feedback into the grade box without reviewing or editing. | ❌ No | This bypasses professional judgment and may result in inaccurate or inappropriate feedback, even if the tool is FERPA-compliant. |
You use GenAI to draft a rubric, then revise it for your course. | ✅ Yes | You are using AI as a creative assistant, not a decision-maker. |
You copy a full AI-generated assignment prompt from a public chatbot with no edits or review. | ❌ No | It risks misalignment with learning objectives and ignores quality control. |
Quiz – Ethical Use of AI
Choose the best answer. You will earn a badge if you answer all questions correctly.
References
Association of American Colleges and Universities. (n.d.). Student guide to artificial intelligence.
Harvard. (2023, August). AI Guidance & Faqs. Harvard Office of Undergraduate Education.
Microsoft. Empowering responsible AI practices.
Poorvu Center for Teaching and Learning. (n.d.). AI Guidance. Yale University.
Zachariah, I. (2024). EDUCAUSE ’24: A Summary of Federal Guidance on AI. Government Technology.