Teaching & Learning
- Babson states that use of generative AI in coursework is determined by the instructor
- The library guidance also says AI-generated writing should not be submitted as a student's own work and that citation is required when AI content is used
- Students are responsible for reading each course syllabus and asking faculty when expectations are unclear; unauthorized use can be treated as academic misconduct
1. “When faculty have concerns about misuse of GenAI, they should report students with whom they have concerns for violations of Academic Integrity.”
2. “Students need to read syllabi for instructions on course-specific GenAI expectations and ask faculty if they are unclear on those expectations.”
3. “Students should not submit AI-generated writing to instructors and pass it off as one’s own work. Cite any use of a GenAI source in the assignment using the citation format requested by the course instructor.”
- Babson does not provide a separate university-wide AI rule specifically for exams in the provided sources
- Instead, expectations are course-specific and students are directed to follow syllabus instructions and faculty guidance; misuse may be reported under academic integrity procedures
1. “Students need to read syllabi for instructions on course-specific GenAI expectations and ask faculty if they are unclear on those expectations.”
2. “When faculty have concerns about misuse of GenAI, they should report students with whom they have concerns for violations of Academic Integrity.”
- Babson encourages AI literacy and provides guidance for using generative AI as a learning support tool
- The library materials recommend using AI for brainstorming, research support, summarizing and understanding concepts, while also warning users to verify outputs and consult instructors about assignment expectations
1. “Use AI tools to brainstorm and refine your topic/research question.”
2. “Use AI tools to locate and summarize sources. Verify that the information generated by AI is accurate and use the actual sources in your research.”
3. “Use AI tools to understand concepts or identify additional information that is needed.”
4. “Students need to read syllabi for instructions on course-specific GenAI expectations and ask faculty if they are unclear on those expectations.”
- Babson provides an institutionally supported AI coding platform and allows access to code-completion functionality through it
- At the same time, student use for coursework remains subject to course-specific instructor expectations, and users are instructed not to input restricted institutional data into AI systems
1. “Code Completion: Available through Cursor Composer or via Cursor Tab (all models enabled for $20/month plan users).”
2. “Students need to read syllabi for instructions on course-specific GenAI expectations and ask faculty if they are unclear on those expectations.”
3. “Do not use GenAI with confidential, proprietary, or restricted data (e.g. passwords, student records, employee evaluations, intellectual property, financial information, social security numbers, etc.).”
Research
- Babson does not set a dedicated university-wide rule for AI use in research manuscripts in the provided sources
- The library guidance permits AI assistance for brainstorming, summarizing, and drafting support only with caution, requiring verification of AI outputs and warning against presenting AI-generated writing as one's own
1. “Use AI tools to brainstorm and refine your topic/research question.”
2. “Use AI tools to locate and summarize sources. Verify that the information generated by AI is accurate and use the actual sources in your research.”
3. “Use AI tools to get feedback on your own writing/revise your own writing. Do not input your writing to the extent that the AI is doing the actual writing.”
4. “Students should not submit AI-generated writing to instructors and pass it off as one’s own work.”
- Babson's provided sources do not define a specific research-data AI policy for analysis methods or synthetic data
- However, institutional guidance prohibits use of generative AI with confidential, proprietary, or restricted data, which limits what data may be entered into AI tools
“Do not use GenAI with confidential, proprietary, or restricted data (e.g. passwords, student records, employee evaluations, intellectual property, financial information, social security numbers, etc.).”
Academic Integrity
- Babson requires transparency when AI is used in academic work
- Students must cite generative AI use in the format required by the instructor, and the AI Console also directs faculty to tell students when disclosure and citation are expected for AI-enabled assignment submissions
1. “Cite any use of a GenAI source in the assignment using the citation format requested by the course instructor.”
2. “Disclosure Expectations: State whether students must disclose or cite AI use in assignments”
- Babson's provided sources emphasize reporting suspected misuse through academic integrity channels rather than describing a university AI-detection regime
- Faculty are told to report suspected misuse of generative AI as academic integrity violations, and the student conduct code treats acts involving false identification or false information in the academic process as misconduct
1. “When faculty have concerns about misuse of GenAI, they should report students with whom they have concerns for violations of Academic Integrity.”
2. “Forgery, alteration, fabrication, or misuse of official forms, records, or documents, including false identification, false information, or misuse of official academic information, papers, and records”
Institutional & Administrative
- Babson provides faculty guidance for using generative AI in teaching and course administration
- Faculty are told to state course AI expectations in the syllabus, clarify whether disclosure or citation is required, determine whether AI can support writing, research, or coding assignments, and report suspected misuse through academic integrity procedures
1. “To support faculty in integrating GenAI thoughtfully and responsibly into their teaching, here are recommended areas to address in your course syllabus or assignment prompts:”
2. “Permitted Use by Assignment Type: Specify whether GenAI may be used for writing, research, coding, image creation, brainstorming, or not at all”
3. “Disclosure Expectations: State whether students must disclose or cite AI use in assignments”
4. “When faculty have concerns about misuse of GenAI, they should report students with whom they have concerns for violations of Academic Integrity.”
- Babson has an approved institutional AI environment and directs community members to use it for enterprise access
- The college prohibits entering confidential, proprietary, or restricted data into generative AI tools, and its acceptable use policy requires users to avoid exposing confidential information and to safeguard institutional data
1. “Babson's AI platform is available at ai.babson.edu, offering secure, integrated access to leading AI models for teaching, learning, research, and administrative work.”
2. “AI Console is currently available to all Babson faculty, staff, and students with a Babson email address (@babson.edu)”
3. “Do not use GenAI with confidential, proprietary, or restricted data (e.g. passwords, student records, employee evaluations, intellectual property, financial information, social security numbers, etc.).”
4. “Users are prohibited from using College resources in a way that intentionally or recklessly exposes the College or its users to malicious software, compromises the security or functionality of College systems, or results in unauthorized access, damage, or disruption.”
5. “Users must take reasonable precautions to protect confidential or sensitive information accessed through Babson systems.”
- Babson has an institutional AI initiative centered on AI Console and framed around responsible use in teaching, learning, research, and administrative work
- The college also supports AI literacy through library and teaching resources and positions AI adoption within broader guidance for faculty and the campus community rather than a single standalone governance policy in the provided sources
1. “Babson's AI platform is available at ai.babson.edu, offering secure, integrated access to leading AI models for teaching, learning, research, and administrative work.”
2. “Through this portal, users can explore AI responsibly, access approved tools, and stay informed through college-provided guidance and resources.”
3. “The purpose of this guide is to support the Babson College community as they explore and integrate GenAI into their work and studies.”
4. “Welcome to Babson AI Literacy! This guide helps faculty, students, and staff understand and use artificial intelligence (AI) tools effectively, ethically, and safely.”
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 Babson College's AI Policies
Babson College has defined AI policies in 11 of 12 categories, with an overall coverage score of 92%.
Babson requires transparency when AI is used in academic work. Students must cite generative AI use in the format required by the instructor, and the AI Console also directs faculty to tell students when disclosure and citation are expected for AI-enabled assignment submissions.
Babson's provided sources emphasize reporting suspected misuse through academic integrity channels rather than describing a university AI-detection regime. Faculty are told to report suspected misuse of generative AI as academic integrity violations, and the student conduct code treats acts involving false identification or false information in the academic process as misconduct.
Babson has an approved institutional AI environment and directs community members to use it for enterprise access. The college prohibits entering confidential, proprietary, or restricted data into generative AI tools, and its acceptable use policy requires users to avoid exposing confidential information and to safeguard institutional data.