Faculty Facing Guidance on Student Generative AI-Use

Purpose and Instructor Responsibility

As an EP faculty member, you are responsible for defining and communicating acceptable student use of Generative Artificial Intelligence (GenAI) in your course. Clear guidance helps students understand expectations, supports academic integrity, and reduces ambiguity around appropriate GenAI use.

The guidance below is intended to help you establish an acceptable approach to GenAI use that aligns with course learning outcomes, disciplinary norms, and expectations.

Definitions and Terminology Disclaimer:

Generative Artificial Intelligence (GenAI) refers to technologies and tools that can generate, modify, or amend content, such as text, images, code, data, or multimedia, based on training data and user input (for example, HopGPT). Until Johns Hopkins University (JHU) establishes formal terminology, Engineering for Professionals (EP) will use “Generative AI” and “GenAI” as working terms.

Recommended Platform: Use HopGPT in your courses: chat.ai.jh.edu/login

• Provides secure access to multiple Large Language Models (LLMs)
• Ensures equitable access for all students
• Complies with university data-privacy standards

Refer to the JHU “Getting Started” page for help with using HopGPT.

Generative AI Use Categories

You may assign one of the following GenAI-use categories to your course or course components, based on learning objectives and assessment goals. You may use instructional, procedural, or technical methods to support academic integrity.

Red: GenAI use is not permitted

• GenAI may not be used in any form.
• Students must complete all work independently without GenAI assistance, including drafting, editing, or revision.
• Use of GenAI in this category constitutes a violation of academic integrity.

Yellow: Moderate GenAI use is permitted, with restrictions

• GenAI may be used in limited ways to support learning based on course policy.
• All GenAI use must be disclosed according to course expectations.

Green: Liberal GenAI use is permitted, with expectations for transparency and accountability

• GenAI may be used throughout the workflow.
• Disclosure of GenAI use may be required, depending on course or assignment guidelines.
• Students remain fully responsible for verifying accuracy, identifying bias, and ensuring the quality of final submissions.

Generative AI Use Designations

Every EP course must have a course-level color. Yellow-designated courses must also include assignment-level labels (i.e., colors) for all assessments and activities. Red- and green-designated courses need not apply categories at the assignment level. The GenAI use designation should be clearly stated in the syllabus and reinforced throughout the course.

Generative AI Use Disclosure

In your course policy or at the assignment level, you must explain what level of Generative AI use you expect to be submitted. Consider that there are different levels of disclosure of use, such as full transcripts of chats/chat history, citations of a specific model/website used for questions, a short description of how it was used, or a single citation per assignment citing each model/website. Refer to the GenAI Use Disclosure chart for guidance on determining disclosure options and language to include in your syllabus/assignments.

Next Steps for Instructors

To implement GenAI guidance effectively in your course:

1. Determine whether and how GenAI use would benefit student learning in your course. Familiarity with the use of GenAI in field-specific contexts will support students’ professional preparation.
2. Consult with your Program Chair to ensure alignment with any program-specific guidance.
3. Establish and communicate GenAI-use designations in your syllabus and course materials.
4. Select appropriate disclosure expectations using the GenAI Use Disclosure Chart.
5. Refer to the JHU “Getting Started” page found at hopgpt.it.jh.edu/getting-started for help with using HopGPT.
6. Contact the Center for Teaching and Learning Design (CTLD) for assistance with assignment design, disclosure language, or implementation strategies, if needed.

Additional Notes

• EP faculty will be required to implement GenAI-use guidance in course syllabi and within their courses beginning Fall 2026. You may begin to use this guidance immediately and for Summer 2026.
• We recommend clearly communicating the rationale for your GenAI-use approach to students through the syllabus, course information modules, assignment instructions, and welcome announcements.
• Suspected violations of the Graduate Academic Misconduct Policy, including misuse of Generative AI, should be reported to the EP Academic Integrity Officer, Heather Stewart (heather.stewart@jhu.edu). Faculty should not independently resolve potential misconduct cases.

GenAI Use Disclosure Chart

The disclosure chart provides examples of how to communicate disclosure expectations clearly to students and implement them consistently across assignments. Example language illustrates both:

• Instructor policy statements (syllabus, course information, assignments), and
• Student submission statements demonstrating compliance.

Disclosure Type	Description	Instructor Policy Language (Examples)	Example Student Implementation	When to Use
No GenAI Use Allowed	Students confirm that no GenAI tools were used in any part of the work.	Syllabus / Course: “GenAI use is not permitted in this course. Violations of this standard may constitute a breach of academic integrity.” Assignment: “GenAI is not permitted for this assignment. Please include the following statement at the end of your submission.”	“GenAI was not used in any way to complete this assignment, and I confirm that the work is my own.”	Exams, individual writing or design tasks, or assessments emphasizing independent reasoning.
Basic Acknowledgment	A single citation noting any GenAI tool used.	Assignment: “Limited GenAI use is permitted. If GenAI is used, include a citation identifying the tool used.”	“I used HopGPT to brainstorm initial ideas for this assignment.”	Low-stakes or exploratory GenAI use where minimal transparency is sufficient.
Brief Description of Use	A short statement (1–2 sentences) explaining how GenAI assisted.	Assignment: “Limited GenAI use is permitted. If GenAI is used, include 1–2 sentences describing how it supported your work (e.g., brainstorming, outlining, code debugging).”	“I used HopGPT to outline my initial approach and to refine clarity in the final draft.”	When insight into GenAI’s role is helpful, but full records are unnecessary.
Model and Task Citation	Identification of the specific model and its general purpose.	Assignment: “If GenAI is used, identify the model and describe what it was used for.”	“I used ChatGPT-4 via HopGPT to help generate alternative solution approaches for Problem 2.”	When tool/version awareness matters for transparency or ethics.
Highlighted or Color-Coded AI-Generated Content	AI-generated content is visually identified within the submission.	Assignment: “If GenAI-generated text is included, it must be clearly identified (e.g., highlighted or color-coded) with a brief legend explaining the markings.”	AI-generated text highlighted or color-coded within the submission, accompanied by a note such as: “Highlighted text indicates GenAI-generated content.”	Writing-, design-, or process-focused assignments where distinguishing AI vs. student work is important.
Transcript Excerpt or Summary	Students submit excerpts or summaries of key GenAI interactions.	Assignment: “Provide relevant excerpts or a concise summary of GenAI interactions that informed your work.”	Screenshot or short summary describing prompts used and how responses influenced the work.	Assignments emphasizing process transparency or critical evaluation.
Use/Reflection Report	A reflective account of how GenAI was used and evaluated.	Assignment: “Include a brief reflection describing how GenAI was used, what outputs were accepted or rejected, and how it influenced your thinking.”	Short reflection explaining prompts used, evaluation of responses, and revisions made.	Courses emphasizing metacognition, ethics, or professional judgment.
Full Transcript Submission	Submission of complete GenAI interaction history.	Assignment: “Attach the full transcript of all GenAI interactions used for this assignment.”	Full chat log included as an appendix or file upload.	High-stakes assignments or when detailed verification is required.