Albany College of Pharmacy has defined AI policies across 10 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI use in coursework is addressed on a case-by-case basis, with policies set at the instructor level. 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, data protection and approved AI tools, AI governance strategy.
Academic integrity is violated by any dishonest act which is committed in an academic context.
Examples of violations of academic integrity include, but are not limited to, the following:
• Using unauthorized materials or devices to complete an assignment or assessment.
• Claiming credit for the ideas, words, or work of another person or source, including artificial intelligence, in whole or in part, without proper attribution.
Academic integrity is violated by any dishonest act which is committed in an academic context.
Examples of violations of academic integrity include, but are not limited to, the following:
• Using unauthorized materials or devices to complete an assignment or assessment.
Each year, the Research Compliance Office shall coordinate a seminar series led by faculty members covering Responsible Conduct of Research (RCR) topics. Training seminar topics shall include:
* Responsible authorship and publication
Each year, the Research Compliance Office shall coordinate a seminar series led by faculty members covering Responsible Conduct of Research (RCR) topics. Training seminar topics shall include:
* Data acquisition and laboratory tools; management, sharing and ownership
The Research Compliance Office at Albany College of Pharmacy and Health Sciences provides access to a variety of resources and training programs to ensure all individuals engaged in research at the College adhere to the highest standards for responsible and ethical conduct.
Comments, concerns, requests, and reports regarding suspected compliance issues, including research misconduct, may be made by contacting the Research Compliance Office at (518) 694-7238.
At Albany College of Pharmacy and Health Sciences, all human subject research (regardless of whether funded) must be reviewed and approved by the IRB before initiation.
Examples of violations of academic integrity include... Claiming credit for the ideas, words, or work of another person or source, including artificial intelligence, in whole or in part, without proper attribution. ... The information below includes sample citations for ChatGPT, but you can adapt these examples for other generative AI tools. These examples are based on the guidance currently available on the APA, MLA, and Chicago style websites.... APA Style Example: OpenAI. (2023). ChatGPT (Mar 14 version) [Large language model]. https://chat.openai.com/chat
Examples of violations of academic integrity include, but are not limited to, the following:
• Claiming credit for the ideas, words, or work of another person or source, including artificial intelligence, in whole or in part, without proper attribution.
Sanctions may be imposed upon any student found to have violated the Academic Integrity Policy. These sanctions may include, but are not limited to the following:
Academic Integrity Warning: an official warning indicating a first offense is on record
Re-assignment: The Accused Student can be required to complete the same or a similar assignment
Reduction of Grade: The Student’s grade for the particular assignment(s) can be lowered
Assignment Failure: The Student is assigned a grade of “F” on the assignment
Course Failure: The Student is assigned a grade of “F” for the course
Discretionary Sanction: Any additional sanction(s) at the discretion of the AIC Committee
Suspension: The Student may be suspended from the College for a designated period of time
Expulsion: The Student may be permanently expelled from the College
Update Your Syllabus: Let your students know what your policy is for using generative AI in your course. It's a good idea to state your policy clearly in your syllabus and to discuss it with your students in class. Your policy can be anything from 'no use of generative AI is permitted' to 'the use of generative AI is permitted for any assignment.' ... Need an activity for your class? We have collected some ideas for how to incorporate generative AI as part of a class assignment or activity.
Data Privacy: Information that you enter into a generative AI tool may not be private. It may be used to train the model and could be part of a future response to another user. Do NOT enter any personal, private, or proprietary information into a generative AI tool.
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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.
Albany College of Pharmacy has defined AI policies in 10 of 12 categories, with an overall coverage score of 83%.
The university requires proper attribution for any use of artificial intelligence in academic work. The library provides specific citation guidance and examples for multiple formats, including APA, MLA, and Chicago, for citing generative AI tools like ChatGPT.
Undisclosed or improper AI use can be treated as an academic integrity violation, and the college has formal sanctions for violations. The provided sources do not state a policy on AI detection tools, but they do establish enforcement through the academic integrity process and a range of disciplinary penalties.
The university library advises all users to avoid entering personal, private, or proprietary information into generative AI tools. It warns that such information may not be private and could be used to train the AI model or be included in responses to other users.
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