Teaching & Learning
- The university does not define AI-specific rules for coursework or assignments
- Its general academic integrity rules prohibit students from receiving unauthorized assistance, submitting work written by another person, and presenting outside material as their own without citation
Academic dishonesty refers to forms of cheating which result in students giving or receiving unauthorized assistance in an academic exercise or receiving credit for work which is not their own.
(1) Cheating is using, attempting or including any information that does not belong to the student in any academic exercise. Examples of cheating are: copying homework from another student, copying another student’s test or using an unauthorized “cheat sheet”.
(2) Plagiarism is the representation of the words and ideas of another as one’s own in any academic exercise. Plagiarism includes failing to provide in-text and works cited citation(s) for any outside sources. Plagiarism also includes using the original or similar language of a source without quotations. Modifications and rephrasing do not reduce the requirement for providing a citation. Any source material must be phrased in a student’s own language or it must be quoted. This also applies to information obtained electronically from the internet as well as print sources.
1. Submitting a paper written by (either wholly in part) or obtained from another person.
- Internet use during exams is included among unauthorized sources of assistance
- The university does not define AI-specific exam rules, but it expressly prohibits external assistance during examinations unless the instructor expressly permits it
Unless expressly permitted by the instructor, use of external assistance during an examination shall be considered academically dishonest.
Inappropriate examination behavior includes but is not limited to:
1. Communicating with another student in any way during an examination,
2. Copying material from another student’s examination,
3. Allowing a student to copy from one’s examination,
4. Using unauthorized notes, calculators, the Internet or other sources of unauthorized assistance.
Research
- The university does not define AI-specific rules for research writing or manuscript preparation
- Its general academic integrity rules require citation of outside sources, prohibit plagiarism in research papers, and treat submitting work written by another person as academic dishonesty
ii. Fabrication involves but is not limited to: (1) inventing or altering data for a laboratory experiment or field project, (2) padding a bibliography of a term paper or research paper with sources one did not utilize, (3) resubmitting returned and corrected academic work under the pretense of grader evaluation error when, in fact, the work has been altered from its original form.
i. Plagiarism is the representation of the words and ideas of another as one’s own in any academic exercise. Plagiarism includes failing to provide in-text and works cited citation(s) for any outside sources. Plagiarism also includes using the original or similar language of a source without quotations. Modifications and rephrasing do not reduce the requirement for providing a citation. Any source material must be phrased in a student’s own language or it must be quoted. This also applies to information obtained electronically from the internet as well as print sources.
1. Submitting a paper written by (either wholly in part) or obtained from another person.
- The university does not define AI-specific rules for research data or analysis
- Its academic integrity rules prohibit inventing or altering data for laboratory experiments or field projects and treat falsification or false citation in academic work as academic dishonesty
b. Fabrication i. Any intentional falsification, invention of data, or false citation in an academic exercise will be considered to be academic dishonesty.
ii. Fabrication involves but is not limited to: (1) inventing or altering data for a laboratory experiment or field project, (2) padding a bibliography of a term paper or research paper with sources one did not utilize, (3) resubmitting returned and corrected academic work under the pretense of grader evaluation error when, in fact, the work has been altered from its original form.
- The university does not define AI-specific rules for grant proposals, IRB applications, or research ethics declarations
- It does state general academic integrity standards covering falsification, invention of data, false citation, and plagiarism in academic work
b. Fabrication i. Any intentional falsification, invention of data, or false citation in an academic exercise will be considered to be academic dishonesty.
i. Plagiarism is the representation of the words and ideas of another as one’s own in any academic exercise. Plagiarism includes failing to provide in-text and works cited citation(s) for any outside sources. Plagiarism also includes using the original or similar language of a source without quotations. Modifications and rephrasing do not reduce the requirement for providing a citation. Any source material must be phrased in a student’s own language or it must be quoted. This also applies to information obtained electronically from the internet as well as print sources.
Academic Integrity
- The university does not define AI-specific disclosure requirements
- It does require attribution for outside sources through in-text and works-cited citations, and source material must either be written in the student's own language or quoted
i. Plagiarism is the representation of the words and ideas of another as one’s own in any academic exercise. Plagiarism includes failing to provide in-text and works cited citation(s) for any outside sources. Plagiarism also includes using the original or similar language of a source without quotations. Modifications and rephrasing do not reduce the requirement for providing a citation. Any source material must be phrased in a student’s own language or it must be quoted. This also applies to information obtained electronically from the internet as well as print sources.
- The university does not define any AI-detection-tool policy
- It does state that dishonesty in quizzes, laboratory work, papers, and examinations is a serious offense that may lead to failure in the course, academic probation, suspension, or expulsion from the university, and the catalog also states faculty may impose course-related sanctions
Dishonesty in work, whether on quizzes, laboratory work, papers, examinations, etc., and regardless of the learning environment or modality of instruction, is regarded as a serious offense and may result in failure in the course, academic probation as well as suspension or expulsion from the University.
Anyone who willfully assists another in the breach of integrity is held equally responsible and subject to the same penalty.
Sanctions
Faculty members have the right and responsibility to impose course-related sanctions for violations of
Institutional & Administrative
DocuMark: Responsible AI Use for Academic Integrity
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.
Common Questions About American Jewish University's AI Policies
American Jewish University has defined AI policies in 7 of 12 categories, with an overall coverage score of 58%.
The university does not define AI-specific disclosure requirements. It does require attribution for outside sources through in-text and works-cited citations, and source material must either be written in the student's own language or quoted.
The university does not define any AI-detection-tool policy. It does state that dishonesty in quizzes, laboratory work, papers, and examinations is a serious offense that may lead to failure in the course, academic probation, suspension, or expulsion from the university, and the catalog also states faculty may impose course-related sanctions.
No explicit data protection or approved AI platform policy is currently defined in the available policy sources.