Teaching & Learning
Research
- The library research and publishing guidance permits limited AI use in manuscript preparation for language editing and formatting, but not as a listed author
- It requires researchers to verify AI outputs for bias, accuracy, and completeness, disclose AI use according to publisher requirements, and not upload private or sensitive information into generative AI tools
Scholarly publishers generally permit the use of AI-powered tools for language editing and grammar correction, but they usually prohibit AI-generated content as a listed author.
Publishers that do allow AI-generated content often require:
• verification that the content generated is free from bias and is accurate and complete;
• a statement disclosing the use of AI in the manuscript; and/or
• an acknowledgement describing the role of AI tools.
Do not upload private, confidential, or sensitive information to a generative AI tool.
- The only directly relevant institutional statement is a prohibition on uploading private, confidential, or sensitive information to generative AI tools
- The university source reviewed does not set a specific policy for using AI in research data collection, analysis, statistics, synthetic data generation, or interpretation of results
Do not upload private, confidential, or sensitive information to a generative AI tool.
- Research-related AI use is addressed through publication-integrity guidance rather than a broad AI research ethics policy
- The guidance requires verification of AI-generated content for bias, accuracy, and completeness, expects disclosure or acknowledgement when publishers require it, and states that AI-generated content cannot be listed as an author where publishers prohibit that practice
Scholarly publishers generally permit the use of AI-powered tools for language editing and grammar correction, but they usually prohibit AI-generated content as a listed author.
Publishers that do allow AI-generated content often require:
• verification that the content generated is free from bias and is accurate and complete;
• a statement disclosing the use of AI in the manuscript; and/or
• an acknowledgement describing the role of AI tools.
Academic Integrity
- For research manuscripts, disclosure of AI use may be required depending on publisher rules, and acknowledgement of the AI tool's role may also be required
- In student academic integrity materials, submitted work must represent the student's own effort and sources must be properly attributed, but the reviewed sources do not provide AI-specific citation instructions for coursework
Publishers that do allow AI-generated content often require:
• verification that the content generated is free from bias and is accurate and complete;
• a statement disclosing the use of AI in the manuscript; and/or
• an acknowledgement describing the role of AI tools.
All students are expected to maintain high standards of integrity and honesty in all scholastic work. The abuse of scholastic work or materials with intent to deceive, including plagiarism and cheating, is never acceptable. Honest scholastic conduct includes proper acknowledgment of all sources of information and correct citation. Furthermore, it is expected that all work submitted in fulfillment of course requirements or other responsibilities is the original work of the student.
- Student work must be original, plagiarism and cheating are prohibited, and violations are handled through established procedures and sanctions
- Albany Medical Center enforces academic misconduct through student disciplinary processes for plagiarism and cheating, but the reviewed sources do not mention AI-detection tools
All students are expected to maintain high standards of integrity and honesty in all scholastic work. The abuse of scholastic work or materials with intent to deceive, including plagiarism and cheating, is never acceptable.
Academic dishonesty or misconduct may be observed by either faculty or staff and should be reported to the Associate Dean of Student Affairs (or designee). The Associate Dean of Student Affairs (or designee) and the student(s) involved shall meet to discuss the matter. If, after the discussion, it is believed that misconduct is probable, then the student(s) involved and the Associate Dean of Student Affairs (or designee) shall discuss what sanctions, if any, are to be imposed.
Violations of this policy can lead to severe consequences up to and including dismissal from the College.
Institutional & Administrative
- The reviewed source explicitly prohibits entering private, confidential, or sensitive information into generative AI tools
- No institutionally approved AI platform list or broader AI data-classification framework was identified in the provided materials
Do not upload private, confidential, or sensitive information to a generative AI tool.
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 Albany Medical Center's AI Policies
Albany Medical Center has defined AI policies in 6 of 12 categories, with an overall coverage score of 50%.
For research manuscripts, disclosure of AI use may be required depending on publisher rules, and acknowledgement of the AI tool's role may also be required. In student academic integrity materials, submitted work must represent the student's own effort and sources must be properly attributed, but the reviewed sources do not provide AI-specific citation instructions for coursework.
Albany Medical Center enforces academic misconduct through student disciplinary processes for plagiarism and cheating, but the reviewed sources do not mention AI-detection tools. Student work must be original, plagiarism and cheating are prohibited, and violations are handled through established procedures and sanctions.
The reviewed source explicitly prohibits entering private, confidential, or sensitive information into generative AI tools. No institutionally approved AI platform list or broader AI data-classification framework was identified in the provided materials.