Scripps College has defined AI policies across 8 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.
7. Use of AI technology in any course assignment when not expressly allowed in the course.
Papers must be the original work of the author(s) and may not include any AI-generated content. The use of generative AI tools will be considered a form of plagiarism and is therefore disallowed. Please note that an AI detector program may be used to detect AI-driven work.
1. Any use of external assistance during an examination unless expressly permitted by the
instructor.
This statement on research integrity represents a code of ethics that Scripps College expects all active members of our academic community, faculty members and students alike, to uphold in their research and scholarship.
1. One must not present another’s work as one’s own.
2. Substantive contributions of collaborators and students must be recognized.
3. Unpublished work of other researchers and scholars may be cited only with due acknowledgement and with permission according to the accepted practices of the discipline.
1. Scholarly and scientific rigor and integrity must be observed in obtaining, recording and analyzing data and in reporting and publishing results.
This statement on research integrity represents a code of ethics that Scripps College expects all active members of our academic community, faculty members and students alike, to uphold in their research and scholarship.
1. All research involving human participants must be approved by the Institutional Review Board at Scripps College before the beginning of the project. (Consult the Faculty Handbook for policy.)
This policy applies to all individuals at the College engaged in any research, whether or not such research is supported by external funding. This policy applies to any person employed by, contracted by, or affiliated with the College, such as faculty, staff, students, guest faculty or other academic visitors hosted by the College.
Research misconduct means fabrication, falsification, plagiarism, or other serious deviation from accepted practices within the relevant scholarly community for proposing, conducting, or reporting research. It does not include honest error or honest differences in interpretations or judgments of data.
The Dean will appoint the Research Integrity Officer (“RIO”) who will have primary responsibility for implementation of the procedures set forth in this document.
Plagiarism is the academic use of “someone else’s language, ideas, or other original (not common-knowledge) material without acknowledging its source. This definition applies to texts published in print or online, to manuscripts, and to the work of other student writers” (CWPA website).
1. Quoting the exact words of one’s source without putting them in quotation marks and naming the source in the text or in an endnote or footnote, or, when paraphrasing a source, failing to acknowledge one’s source. The exception is for ordinary factual information that is regarded as common property.
2. Substantive contributions of collaborators and students must be recognized.
3. Unpublished work of other researchers and scholars may be cited only with due acknowledgement and with permission according to the accepted practices of the discipline.
Papers must be the original work of the author(s) and may not include any AI-generated content. The use of generative AI tools will be considered a form of plagiarism and is therefore disallowed. Please note that an AI detector program may be used to detect AI-driven work.
Scripps College expects each student to uphold the highest principles of academic honesty and integrity. Academic dishonesty of any kind destroys our trust in one another, devalues the Scripps community, and damages intellectual and personal development. It is not tolerated at Scripps and may result in one or more penalties, including suspension or expulsion; a full discussion of such penalties as well as related academic policies and procedures can be found in the Catalog.
Whether or not such an informal discussion takes place, as soon as a faculty member suspects that a student has committed an act of academic dishonesty, the faculty member has an obligation to so inform the dean of students of the suspected infraction by phone call or in person; no written record of the initial conversation will be kept.
This statement on research integrity represents a code of ethics that Scripps College expects all active members of our academic community, faculty members and students alike, to uphold in their research and scholarship.
This policy applies to all individuals at the College engaged in any research, whether or not such research is supported by external funding. This policy applies to any person employed by, contracted by, or affiliated with the College, such as faculty, staff, students, guest faculty or other academic visitors hosted by the College.
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.
Scripps College has defined AI policies in 8 of 12 categories, with an overall coverage score of 67%.
Scripps requires acknowledgment of sources to avoid plagiarism and requires recognition of collaborators' substantive contributions in research. The provided sources do not give a specific AI citation or disclosure format; instead, the college frames unapproved AI use in assignments and some program papers as plagiarism or prohibited content.
For the European Union Center program, Scripps states that an AI detector program may be used to detect AI-driven work. More broadly, the college says academic dishonesty is not tolerated and may lead to penalties including suspension or expulsion, with faculty required to report suspected dishonesty to the dean of students and formal procedures available for adjudication.
No explicit data protection or approved AI platform policy is currently defined in the available policy sources.
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