ChatGPT Terms of Use

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Overview

ChatGPT is provided to current Drexel students, faculty, and staff under a license from OpenAI (the “Service”). By using the Service, you agree to these Terms. If you don’t agree, you may not use the Service. Violations may result in loss of access and possible disciplinary action under University policies.

Terms of Use for ChatGPT (OpenAI)

  1. Policies apply. Drexel’s Acceptable Use Policy and other applicable University IT policies apply to the Service on any device or network. You must also follow OpenAI’s Terms and related policies. Drexel and OpenAI’s terms may change at any time without notice. You are responsible for complying with the current Terms.
  2. Use it for Drexel work. The Service is intended for teaching, learning, research, and University business. We encourage appropriate experimentation. For example, you might use generative artificial intelligence for brainstorming, assistance with drafting emails or documents, summarizing research articles, generating study materials, analyzing data, debugging code, or exploring new ideas for your coursework or projects. Limited incidental personal use is acceptable, but the Service should primarily support your University activities. The Service should never be used to create content that violates Drexel policies or federal, state, or local laws and regulations.
  3. Keep sensitive information out. You may not enter sensitive information, meaning information Drexel University must protect by law, contract, or policy, or that you would not share broadly within the University or with people outside Drexel. Sensitive information includes, for example (not an exhaustive list):
  • Financial information such as credit card, routing numbers, and bank account numbers;
  • Attorney-client privileged information;
  • Personally identifiable information (PII) beyond basic directory information—this means no phone numbers, home addresses, dates of birth, social security numbers, student ID numbers, or other details that identify someone;
  • Confidential human resources information such as performance reviews;
  • Confidential third-party contracts or contract terms as well as material received by Drexel from a third party where Drexel has an obligation of confidentiality;
  • Highly confidential institutional strategies, negotiations, and executive-level deliberations such as, for example, nonpublic enrollment or pricing strategy, potential mergers or reorganizations, high-level budget planning, or other internal deliberations restricted to senior leadership;
  • Protected health information (PHI) such as medical records, whose input is expressly forbidden by our contract with the Service; and
  • Export-controlled or similarly restricted military-related data.

When in doubt, assume the information is sensitive and do not enter it. Seek guidance through the appropriate University channels for handling that sort of information before using it in the tool. For example, if you're unsure whether enrollment statistics or institutional data can be entered into the Service, check with Institutional Research or your department first. 

  • Student education records. When using generative AI for academic or University‑related work, you may input directory information—such as student names and Drexel email addresses—for students whose directory information is not marked as confidential on the roster. For guidance on using student work, such as assignments, in generative AI tools, please refer to the DRAFT Policy on Faculty Usage of GAI Tools in Course Design and Teaching.
  1. Respect rights and rules. Be aware that there are circumstances where inputting information into the Service may violate laws or the legal rights of others. Particular areas to be sensitive to include copyright law, privacy law, and contractual obligations. You are responsible for what you input into the Service. Only share material you own or have clear permission to use. Your submissions must respect others’ creative work, legal protections, privacy expectations, and any limits placed on confidential or restricted data.
  2. Use good judgment with outputs. Treat results like a draft: verify facts and citations, check for errors or bias, and apply human judgment and context before relying on or distributing them.
  3. Access. Access is tied to your Drexel affiliation and ends when your Drexel affiliation ends, consistent with other Drexel systems and applicable policies.
  4. Monitoring. While monitoring is not routine, Drexel may review usage and related data as needed for compliance, legal obligations, security, and contractual requirements.

 

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