South Dakota School of Mines and Technology has defined AI policies across 11 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. The university prohibits the use of AI tools in coursework unless explicitly permitted by instructors. 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.
Ethical Use. The utilization of GenAI shall be done in accordance with all existing policies, guidelines, standards, and norms.
Transparency. Proper citation and disclosure are required when GenAI has been utilized.
The Faculty Member for each course is responsible for setting and clarifying the academic integrity standards for that course within the course syllabus.
Ethical Use. The utilization of GenAI shall be done in accordance with all existing policies, guidelines, standards, and norms.
The Faculty Member for each course is responsible for setting and clarifying the academic integrity standards for that course within the course syllabus.
South Dakota Mines seeks to harness the power of and embrace the ethical and responsible use of GenAI across the institution.
Providing a quality and relevant STEM curriculum that educates students about how to critically engage with GenAI.
Innovation. GenAI tools may be appropriate to assist, augment, inspire, and support innovation; they shall not be utilized autonomously.
Accountability. GenAI tools are not infallible. Users of GenAI tools understand their responsibility to comply with all laws, policies, standards, and norms; ensure the accuracy of any GenAI-assisted works; understand the limitations of GenAI; and that they shall be held accountable for their actions.
Transparency. Proper citation and disclosure are required when GenAI has been utilized.
Accountability. GenAI tools are not infallible. Users of GenAI tools understand their responsibility to comply with all laws, policies, standards, and norms; ensure the accuracy of any GenAI-assisted works; understand the limitations of GenAI; and that they shall be held accountable for their actions.
Innovation. GenAI tools may be appropriate to assist, augment, inspire, and support innovation; they shall not be utilized autonomously.
Ethical Use. The utilization of GenAI shall be done in accordance with all existing policies, guidelines, standards, and norms.
Accountability. GenAI tools are not infallible. Users of GenAI tools understand their responsibility to comply with all laws, policies, standards, and norms; ensure the accuracy of any GenAI-assisted works; understand the limitations of GenAI; and that they shall be held accountable for their actions.
Innovation. GenAI tools may be appropriate to assist, augment, inspire, and support innovation; they shall not be utilized autonomously.
All South Dakota Mines students and personnel who receive support or who cost share wages as part of an externally funded research project are required to receive RCR training through CITI.
It is the responsibility of the institutional principal investigator (PI) to ensure that RCR training and oversight occur for faculty, staff and students involved on their project(s).
Ethical Use. The utilization of GenAI shall be done in accordance with all existing policies, guidelines, standards, and norms.
Transparency. Proper citation and disclosure are required when GenAI has been utilized.
Accountability. GenAI tools are not infallible. Users of GenAI tools understand their responsibility to comply with all laws, policies, standards, and norms; ensure the accuracy of any GenAI-assisted works; understand the limitations of GenAI; and that they shall be held accountable for their actions.
Transparency. Proper citation and disclosure are required when GenAI has been utilized.
If a Faculty Member has a reason to believe you might have cheated or plagiarized work in their course, they will reach out to you to set up a meeting.
This information may be used when determining academic consequences (such as issuing a failing grade in the course).
By signing the form, you waive the right to appeal both the fact that you engaged in the Academic Misconduct and the academic consequence. This form is then sent to the Community Standards Office by the Faculty Member. After reviewing the form, a Student Conduct Officer will assess appropriate conduct sanctions to you via a letter to your student email.
The success of all faculty by providing the resources and support to develop faculty skill and knowledge about how to teach utilizing GenAI.
Reducing employee burden and workload while maximizing productivity and efficiency by providing all employees with access to and training on GenAI.
Ethical Use. The utilization of GenAI shall be done in accordance with all existing policies, guidelines, standards, and norms.
Accountability. GenAI tools are not infallible. Users of GenAI tools understand their responsibility to comply with all laws, policies, standards, and norms; ensure the accuracy of any GenAI-assisted works; understand the limitations of GenAI; and that they shall be held accountable for their actions.
Innovation. GenAI tools may be appropriate to assist, augment, inspire, and support innovation; they shall not be utilized autonomously.
Ethical Use. The utilization of GenAI shall be done in accordance with all existing policies, guidelines, standards, and norms.
Information Technology Services (ITS) provides computing, networking, and other technology enhanced services to the South Dakota Mines community. ITS endeavors to balance freedom of access with a safe and secure environment for our constituents. Director of ITS will maintain compliance with rules, regulations and procedures mandated by the federal and state governments, Board of Regents and Mines by regularly monitoring the usage of computing, networking and other resources and services.
All computing and networked systems controlled or managed by Mines ITS and all Mines personnel (faculty, staff, students, and other approved users).
South Dakota Mines seeks to harness the power of and embrace the ethical and responsible use of GenAI across the institution.
Specifically, the institution is committed to:
- Providing a quality and relevant STEM curriculum that educates students about how to critically engage with GenAI.
- The success of all faculty by providing the resources and support to develop faculty skill and knowledge about how to teach utilizing GenAI.
- Reducing employee burden and workload while maximizing productivity and efficiency by providing all employees with access to and training on GenAI.
The following principles outline the standards we expect all members of the South Dakota Mines community to adhere to.
Equitable Access. Adoption of GenAI tools shall be done in such a way as to ensure that all members of the South Dakota Mines community benefit from equal access to the same quality tools. Further, all members of the South Dakota Mines shall be supported in their training, knowledge acquisition, and skill development regarding the appropriate use of GenAI tools.
Monitoring and Improvement. Given the rapidly evolving nature of GenAI, the use of GenAI tools shall be regularly monitored and assessed, and these Guiding Principles updated accordingly.
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.
South Dakota School of Mines and Technology has defined AI policies in 11 of 12 categories, with an overall coverage score of 92%.
The university requires disclosure and citation whenever generative AI is used. This is stated as a general institutional requirement and is not limited in the provided sources to any one type of academic or research submission.
The provided sources do not mention AI detection tools. For enforcement, suspected cheating or plagiarism is handled through the academic misconduct process, and faculty may seek academic consequences while the Community Standards Office may impose conduct sanctions.
The provided sources do not name approved AI platforms or define data-classification rules for AI inputs. They do state that AI use must comply with existing policies and that ITS regularly monitors use of computing, networking, and other resources to maintain compliance with applicable rules and procedures.
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