Le Moyne College AI Policy

Faculty define the role of AI in their specific courses. In the absence of explicit permission in a syllabus or assignment instructions, the use of AI to complete academic work is considered a violation of the Student Code of Conduct. It is the student’s responsibility to clarify AI expectations with their instructor before submission.

To provide clarity and ensure the Equity and Access of all students, each syllabus must categorize AI use under one of the following levels. If use is permitted, students should be directed to use Le Moyne’s Protected Institutional Environment.

• AI Prohibited: AI tools may not be used for any portion of assignments or exams. All work must be the student’s original intellectual product.

• AI Limited: AI is permitted only for specific, defined tasks (e.g., brainstorming, grammar support, or refining research questions) or assignments. Students must disclose the nature of AI assistance upon submission.

• AI Integrated: AI use is permitted or required as a core part of the learning process.

• AI Prohibited: AI tools may not be used for any portion of assignments or exams. All work must be the student’s original intellectual product.

• Authentic Assessment: Faculty are encouraged to utilize "authentic assessment" methods—such as oral exams, in-class writing, or iterative project stages—that prioritize the learning process over the final output.

• Verification Authority: While AI detection software is inconsistent, faculty reserve the right to question students on their work and process to ensure human-centered responsibility. However, AI-detection scores (e.g., Turnitin AI percentages) or unverified hunches may not be used as the sole basis for an academic penalty or a failing grade. Any disciplinary action must follow the standard outlined in the Academic Standards Policies within the Student Handbook.

• AI Limited: AI is permitted only for specific, defined tasks (e.g., brainstorming, grammar support, or refining research questions) or assignments. Students must disclose the nature of AI assistance upon submission.

• AI Integrated: AI use is permitted or required as a core part of the learning process.

Students may use AI for drafting, analyzing, or creating output while maintaining human oversight.

Human accountability is the non-negotiable standard for all professional, administrative, and scholarly output at Le Moyne College.

• Authorship Eligibility: AI systems lack legal and ethical standing and therefore cannot be listed as authors or co-authors on any college-affiliated research, publications, or formal reports.

• Citation and Disclosure Standards: All AI assistance must be transparently cited according to discipline-specific standards (e.g., APA, MLA, or Chicago). This includes identifying the tool name, the version (e.g., Gemini (Enterprise Version)), and the specific nature of its contribution to the work.

• Human Review Standard: Users must treat all AI-generated output as a draft that requires rigorous human review.

• Professional Verification: AI may only supplement—not replace—traditional methods of peer review or faculty evaluation and must be independently verified to ensure accuracy, fairness, and the integrity of the scholarly process.

• Business & Research Requirement: All official College business, administrative tasks, and research involving non-public data must be conducted within these licensed environments to mitigate institutional risk and ensure data sovereignty.

• Human Review Standard: Users must treat all AI-generated output as a draft that requires rigorous human review. AI models are known to produce "hallucinations"—plausible-sounding but factually incorrect information, including fabricated citations and data.

• Defining Misconduct: Submitting AI-generated content as one’s own original work, or using AI to fabricate research data, citations, or case studies, constitutes academic/professional misconduct.

• AI use in externally funded research must strictly comply with sponsor requirements, export control laws, and Institutional Review Board (IRB) standards. Researchers are responsible for verifying that AI tool usage does not violate sponsor data-use agreements.

Human accountability is the non-negotiable standard for all professional, administrative, and scholarly output at Le Moyne College.

• Defining Misconduct: Submitting AI-generated content as one’s own original work, or using AI to fabricate research data, citations, or case studies, constitutes academic/professional misconduct.

• AI use in externally funded research must strictly comply with sponsor requirements, export control laws, and Institutional Review Board (IRB) standards. Researchers are responsible for verifying that AI tool usage does not violate sponsor data-use agreements. For research involving human subjects, AI-assisted data analysis must be explicitly disclosed in IRB submissions.

7. Contextual Transparency: Disclosure of AI assistance is required for substantive academic, scholarly, or public-facing institutional work (e.g., grant proposals, accreditation reports, public statements). It is not required for routine administrative productivity tasks (e.g., drafting internal emails, creating meeting agendas, or formatting spreadsheets).

• AI Limited: AI is permitted only for specific, defined tasks (e.g., brainstorming, grammar support, or refining research questions) or assignments. Students must disclose the nature of AI assistance upon submission.

• Citation and Disclosure Standards: All AI assistance must be transparently cited according to discipline-specific standards (e.g., APA, MLA, or Chicago). This includes identifying the tool name, the version (e.g., Gemini (Enterprise Version)), and the specific nature of its contribution to the work.

• Academic Integrity Requests: IT will not fulfill ad-hoc requests from faculty to search a student’s AI prompt history to investigate suspected academic dishonesty. Faculty must rely on the holistic academic judgment and assessment standards outlined in Section 5 of this policy.

• Verification Authority: While AI detection software is inconsistent, faculty reserve the right to question students on their work and process to ensure human-centered responsibility. However, AI-detection scores (e.g., Turnitin AI percentages) or unverified hunches may not be used as the sole basis for an academic penalty or a failing grade. Any disciplinary action must follow the standard outlined in the Academic Standards Policies within the Student Handbook.

• Detection and Judgement: The College does not rely solely on AI detection software, which can produce false positives and negatives. Instead, Le Moyne relies on holistic academic judgment—evaluating the consistency, depth, and unique voice of the student's or staff member's work over time.

Pedagogical use of AI is decentralized; faculty maintain primary authority over their classroom environment and the integration of AI tools into their curricula.

To provide clarity and ensure the Equity and Access of all students, each syllabus must categorize AI use under one of the following levels.

• Administrative Accountability: For staff and administrators, the use of AI to generate official college correspondence or records must still meet the standard of Human-in-the-Loop verification to ensure institutional accuracy and brand alignment.

• Ethical Impact Assessment: Before adopting AI tools that significantly automate staff responsibilities, departments must complete a formal AI Impact Assessment as outlined in the IT Procedure: AI Implementation & Incident Response.

• Designated Tools: Google Gemini and Google NotebookLM are established as the official AI tools for Le Moyne-affiliated work.

• Secure Access Requirement: Community members must access AI tools exclusively through their Le Moyne-issued accounts whenever they are performing Le Moyne work, handling institutional data, or utilizing a College-owned device.

• Business & Research Requirement: All official College business, administrative tasks, and research involving non-public data must be conducted within these licensed environments to mitigate institutional risk and ensure data sovereignty.

Users are strictly prohibited from inputting the following data tiers into publicly available or consumer-tier AI tools (e.g., personal ChatGPT, Claude, or non-Le Moyne Gemini accounts). These data types must stay within Le Moyne’s Enterprise environment or, in the case of Restricted data, remain out of AI systems entirely:

• Restricted (Level 4) Data – NEVER PERMITTED:

• Private (Level 3) Data – ENTERPRISE ONLY + AIIA REQUIRED:

• Internal (Level 2) Data – ENTERPRISE STRONGLY PREFERRED:

This policy applies to all members of the Le Moyne community, including faculty, staff, students, and affiliates. It governs the use of AI technologies—including generative, traditional, and agentic AI—for all college-affiliated business, instruction, and research, whether conducted on or off campus.

Le Moyne College embraces Artificial Intelligence as a tool to amplify human potential, anchored by our Jesuit values and a commitment to "Greatness meets Goodness." Our adoption of AI is guided by seven core pillars:

• Evolving Toolkit: As AI technologies continue to develop, the CIO—working with academic, administrative, and governance partners—may approve additional enterprise-grade AI tools that uphold Le Moyne’s commitments to data sovereignty, accessibility, equity, and responsible innovation. Newly approved tools will be added to the Official Le Moyne Toolkit without requiring a formal policy rewrite.

• Ethical Impact Assessment: Before adopting AI tools that significantly automate staff responsibilities, departments must complete a formal AI Impact Assessment as outlined in the IT Procedure: AI Implementation & Incident Response.