Notre Dame of Maryland University AI Policy

The use of AI software to complete assignments or take exams is considered cheating and is a violation of the Academic Policy unless there is expressed permission from the instructor.

In order to participate as a student at Notre Dame of Maryland University, a student is required to, and agrees to, maintain academic integrity. The University’s Honor Code requires academic honesty, and it is expected that all work submitted by a student is the student’s own.

Any form of academic dishonesty, including cheating, plagiarism, and misrepresentation of work, is a violation of academic integrity.

The use of AI software to complete assignments or take exams is considered cheating and is a violation of the Academic Policy unless there is expressed permission from the instructor.

Cheating is taking credit for work which has been completed by another person, or assisting others in the misrepresentation of their academic work. Examples include, but are not limited to, the following:

giving or using prohibited written and/or oral information during tests, quizzes, or examinations;

Students are responsible for understanding and avoiding academic dishonesty as relates to the use of AI to complete coursework.

Refer to the Guidelines for AI Use at NDMU SOP for academic honesty when using AI.

EDU-638: Foundations in AI in Education

EDU-640: Ethical Leadership, Research, and Policy in AI-Driven Education

Plagiarism is defined as the appropriation of ideas, facts, phrases, or additional materials (such as maps, charts, artwork, or computer programs) from any source without giving proper credit or offering appropriate documentation.

The use of AI software to complete assignments or take exams is considered cheating and is a violation of the Academic Policy unless there is expressed permission from the instructor.

Each student shall adhere to ethical principles in all of their academic endeavors in class, in clinic, in internships, in research, and in the presentation of class assignments, tests, and all written work.

Students are responsible for understanding and avoiding academic dishonesty as relates to the use of AI to complete coursework.

Fabrication and/or falsifying laboratory and clinical experiences, internship records, attendance records, research data, survey results, research methods, research results, research conclusions, or any other information and/or process used in the collection and presentation of academic, scientific, or professional materials.

Pilot studies do not require IRB submission or approval provided they meet all the following criteria:

• there are 10 or fewer subjects included,

• that data from those subjects are not used as research data, and

• that data from those subjects are not disseminated in any manner.

Projects using public, de-identified, secondary data sets do not require IRB submission or approval.

All NDMU faculty and students must submit an IRB proposal for any research they participate in, including

It’s all online! Submit your research proposal and supporting documents electronically via the online submission system at bit.ly/ndmuirbapplication. (This is a SurveyMonkey site).

The IRB must assess whether research activities violate privacy by examining how investigators access subjects or their information and considering the subjects' privacy expectations.

Investigators need proper authorization to access subjects or their information.

Confidentiality: Members must keep all materials confidential.

The exact language of another person (whether a single distinctive word, phrase, sentence, or paragraph) must be identified as a direct quotation and must be provided with a specific acknowledgment of the source of the quoted matter.

Paraphrases and summaries of the language and ideas of another person must be clearly restated in the author’s own words, not those of the original source, and must be provided with a specific acknowledgment of the source of the paraphrased or summarized matter.

Sources must be acknowledged using the systematic documentation method required by the instructor for specific assignments and courses.

Refer to the Guidelines for AI Use at NDMU SOP for academic honesty when using AI.

Students suspecting someone of violating this policy should report it to their faculty member or the Academic Department Chair or Program Director. All charges of academic dishonesty will be investigated and resolved by the faculty and/or Academic Department Chair or Program Director through the procedures outlined in the university’s Academic Integrity Policy

A faculty member who, based on personal observations or information provided by others, suspects that a violation has occurred will speak to the suspected student about the situation and, if the violation involves work submitted by the student, shall keep an original copy of the work, if available.

If a faculty member has reasonable proof of a violation, the faculty member shall meet with the student and learn the facts. In consultation with the Department Chair, the faculty member will judge the offense and impose the appropriate sanction(s) from any of the following:

an oral reprimand

a written reprimand

an assignment to repeat the work, to be graded on its merits, for full or partial credit

a lower grade or 0 grade on the test, project, or assignment

a lower grade in the course

a failing grade in the course

the successful completion of the academic integrity course/workshop

For instances of repeated academic integrity violations or an egregious academic integrity violation, the student may be considered for additional sanction beyond those imposed by the faculty member. In such instances, the Office of Community Standards may refer the case to the Honor Board to consider additional sanctions, such as 1) placement on disciplinary probation, 2) suspension from the University, or 3) expulsion from the University.

EDU-638: Foundations in AI in Education

EDU-640: Ethical Leadership, Research, and Policy in AI-Driven Education

(Note: These are graduate course descriptions, not operational faculty/staff AI use policies.)

The IRB must assess whether research activities violate privacy by examining how investigators access subjects or their information and considering the subjects' privacy expectations.

Investigators need proper authorization to access subjects or their information.

Confidentiality: Members must keep all materials confidential.

Access & Security of IRB Records

• Physical records are stored in locked cabinets/rooms.

• Digital records are secured on password-protected hardware.

• Access is limited to the IRB Chair, members, institutional officials, and regulatory agencies.

Subject: Artificial Intelligence (AI) in Courses Policy

The purpose of this policy is to affirm the School of Integrative Health’s commitment to academic integrity and to describe violations of academic integrity as related to students’ use of artificial intelligence (AI) to complete coursework. This policy supplements the university’s Academic Integrity Policy (https://catalog.ndm.edu/academic-and-behavioral-standards-and-policies).

EDU-638: Foundations in AI in Education

EDU-640: -Ethical Leadership, Research, and Policy in AI-Driven Education