AI tools can support drafting, summarizing, coding, teaching, research, and everyday productivity. They can also produce inaccurate, incomplete, biased, or misleading output, so they should be used with care.
Use this article to find Johns Hopkins and Whiting School of Engineering guidance on responsible AI use, approved resources, teaching, research, application development, and support.
Before You Use AI
Before entering content into an AI tool, consider:
- Are you using a Johns Hopkins-provided or approved tool that is appropriate for the type of information involved?
- Does the work involve sensitive, private, confidential, proprietary, or Restricted data, such as student, health, personnel, or research data?
- Who needs to review the output before it is used, shared, published, or assigned?
- Do students, colleagues, collaborators, or other audiences need to know AI was used?
- Will other people use, access, or depend on what you are building?
You are responsible for reviewing AI-generated content before using or sharing it. Do not assume that institutional access permits every category of University data.
AI work may require additional review when it becomes a shared application, integration, or automated workflow—especially if it handles Restricted data, is open to the internet, or will be used by multiple people. Review JHU's Risk Management Standards and contact WSE IT for guidance before proceeding.
If you are unsure whether a tool, type of information, or use case is appropriate, do not enter the information yet. Review the guidance below or contact CMTS.
Choose the Right AI Resource
Choose the least complex approved resource that meets your needs. As AI work becomes shared, automated, integrated with other systems, or relied upon by others, it may require additional technical support and oversight.
Responsible Use and University Guidance
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JHU IT: Guidelines for Responsible Use of AI
Start here for university guidance on approved tools, protecting confidential data, reviewing AI output, and following existing Johns Hopkins policies. -
GenAI at JHU
Find university AI information organized for students, faculty, researchers, and staff.
WSE AI Tools and Access
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WSE IT: Generative AI & LLMs
Compare AI tools and access options available to the WSE community. -
CMTS: AI Tools
Find WSE-focused AI guidance, support information, and related Knowledge Base articles.
Teaching and Course Use
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WSE CTLD: AI Ethics & Privacy
Review WSE teaching considerations, including privacy, course policies, equitable access, bias, and alternatives for students. -
Teaching @ JHU: Generative AI Tool Guidance
Find university guidance on FERPA, HIPAA, student use, assessment design, syllabus language, and AI-detection tools.
HopGPT Help
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HopGPT Support: Getting Started
Learn how to use HopGPT, write prompts, change models, and evaluate responses. -
HopGPT Models
Compare available models for different types of tasks.
Research Use
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Research IT: Artificial Intelligence
Explore research-focused AI resources and related data and security considerations.
Need Help?
Contact CMTS if you need help choosing or using an AI resource for teaching, research, application development, or other WSE work.
Include the tool you are considering, what you want to accomplish, the type of information involved, and whether other people will use or depend on the solution. CMTS can help identify additional Johns Hopkins guidance or connect you with the appropriate team.