Rensselaer Polytechnic Institute has defined AI policies across 12 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI tools are generally permitted in coursework, subject to instructor guidelines. Students are required to disclose and attribute AI-generated content in their academic work. The university employs detection and enforcement mechanisms for unauthorized AI use. Research-related AI policies address manuscript preparation, data analysis, research ethics. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.
The use of Generative AI tools in coursework must comply with the Rensselaer Academic Integrity Policy and any additional guidelines or restrictions set by the course instructor.
Course instructors are responsible for clearly communicating their expectations regarding the use of Generative AI tools in their courses, including whether and how such tools may be used for assignments, projects, and other coursework.
Students are responsible for understanding and adhering to the course instructor’s expectations regarding the use of Generative AI tools and for ensuring that their work complies with the Rensselaer Academic Integrity Policy.
Course instructors are responsible for clearly communicating their expectations regarding the use of Generative AI tools in their courses, including whether and how such tools may be used for assignments, projects, and other coursework.
The use of Generative AI tools in coursework must comply with the Rensselaer Academic Integrity Policy and any additional guidelines or restrictions set by the course instructor.
Rensselaer recognizes the potential benefits of Generative AI tools in enhancing teaching, learning, research, and administrative processes.
Students are responsible for understanding and adhering to the course instructor’s expectations regarding the use of Generative AI tools and for ensuring that their work complies with the Rensselaer Academic Integrity Policy.
The use of Generative AI tools in coursework must comply with the Rensselaer Academic Integrity Policy and any additional guidelines or restrictions set by the course instructor.
Course instructors are responsible for clearly communicating their expectations regarding the use of Generative AI tools in their courses, including whether and how such tools may be used for assignments, projects, and other coursework.
Rensselaer recognizes the potential benefits of Generative AI tools in enhancing teaching, learning, research, and administrative processes.
The use of Generative AI tools at Rensselaer must be consistent with existing Institute policies, including but not limited to the Rensselaer Academic Integrity Policy, the Rensselaer Cybersecurity Policy, and the Rensselaer Information Classification Policy.
The use of Generative AI tools at Rensselaer must be consistent with existing Institute policies, including but not limited to the Rensselaer Academic Integrity Policy, the Rensselaer Cybersecurity Policy, and the Rensselaer Information Classification Policy.
The use of Generative AI tools at Rensselaer must be consistent with existing Institute policies, including but not limited to the Rensselaer Academic Integrity Policy, the Rensselaer Cybersecurity Policy, and the Rensselaer Information Classification Policy.
Course instructors are responsible for clearly communicating their expectations regarding the use of Generative AI tools in their courses, including whether and how such tools may be used for assignments, projects, and other coursework.
Students are responsible for understanding and adhering to the course instructor’s expectations regarding the use of Generative AI tools and for ensuring that their work complies with the Rensselaer Academic Integrity Policy.
The use of Generative AI tools in coursework must comply with the Rensselaer Academic Integrity Policy and any additional guidelines or restrictions set by the course instructor.
The use of Generative AI tools at Rensselaer must be consistent with existing Institute policies, including but not limited to the Rensselaer Academic Integrity Policy, the Rensselaer Cybersecurity Policy, and the Rensselaer Information Classification Policy.
Course instructors are responsible for clearly communicating their expectations regarding the use of Generative AI tools in their courses, including whether and how such tools may be used for assignments, projects, and other coursework.
The use of Generative AI tools at Rensselaer must be consistent with existing Institute policies, including but not limited to the Rensselaer Academic Integrity Policy, the Rensselaer Cybersecurity Policy, and the Rensselaer Information Classification Policy.
Rensselaer recognizes the potential benefits of Generative AI tools in enhancing teaching, learning, research, and administrative processes.
The use of Generative AI tools at Rensselaer must be consistent with existing Institute policies, including but not limited to the Rensselaer Academic Integrity Policy, the Rensselaer Cybersecurity Policy, and the Rensselaer Information Classification Policy.
Course instructors are responsible for clearly communicating their expectations regarding the use of Generative AI tools in their courses, including whether and how such tools may be used for assignments, projects, and other coursework.
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
Rensselaer Polytechnic Institute has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
RPI requires that expectations for generative AI use (including any disclosure/citation expectations) be defined by the course instructor, and students must follow those requirements while also complying with academic integrity policy. The provided sources do not specify a single institute-wide AI citation format, but explicitly require adherence to instructor guidelines and academic integrity standards.
RPI enforces AI-related misconduct through its existing academic integrity processes, with AI use required to comply with the academic integrity policy and instructor restrictions. The provided sources do not define a specific AI detection tool requirement in the cited pages, but establish that violations are handled under academic integrity enforcement mechanisms.
RPI requires that generative AI use comply with institutional cybersecurity and information classification policies, and provides IT security guidance on data classification considerations for using ChatGPT and AI tools. The institutional position is that use of AI tools must follow RPI’s information classification rules and related security requirements for institutional data.
Disclaimer:* All university AI policy information presented on this platform is compiled from publicly available information, official university websites, and related academic sources. This data reflects information available at the time of last verification as on 27th February 2026. University and institution names referenced on this platform are the property and trademarks of their respective institutions. Their inclusion does not imply any affiliation with, endorsement by, or partnership with those institutions. Policy coverage scores and categorical indicators are automated assessments derived from available documentation and are provided for informational and comparative purposes only. They do not constitute legal, academic, or compliance advice. Users are advised to exercise their own judgement and independently verify all policy information directly with the respective university before making any academic or institutional decisions. For any queries or corrections, please contact us at support@trinka.ai