Albany Law School AI Policy

New YorkPrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeTeaching & Learning
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Policy Coverage
42%5 of 12
Prohibited
Coursework
This university prohibits AI tool usage for coursework and assignments unless explicitly authorized by the instructor.
Not Defined
Disclosure
No specific AI disclosure or attribution requirements have been published.
Active
Detection
The university has mechanisms in place to detect unauthorized AI use.
Active
Governance
The university has established AI governance at the institutional level.
POLICY OVERVIEW

AI Policy Summary

Albany Law School has defined AI policies across 5 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Teaching & Learning. The university prohibits the use of AI tools in coursework unless explicitly permitted by instructors. There are no specific AI disclosure requirements currently defined. The university employs detection and enforcement mechanisms for unauthorized AI use. At the institutional level, the university has established guidelines for AI governance strategy.

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Teaching & Learning

U1Coursework & Assignments
AI ProhibitedAttribution Required
  • Academic AI policies are determined by individual faculty for each class and course
  • Students are prohibited from using AI for class-related assignments unless they receive explicit permission from the faculty member

The law school’s academic policies regarding AI are determined by individual faculty for each individual class and course. It is imperative that students do not use AI for any class related assignment unless they are given explicit permission by the faculty member.

U2Examinations & Assessments
AI Prohibited in Exams
  • AI use is prohibited for examinations and assessments unless the faculty member gives explicit permission, because the school bars AI use for any class-related assignment without permission

It is imperative that students do not use AI for any class related assignment unless they are given explicit permission by the faculty member.

U3Learning & Study Assistance
AI Encouraged for Study
  • They are encouraged to consult the Career and Professional Development Center for best practices
  • Students may use AI as a tool in their job search, but should do so using their own discretion and judgment

While AI may be a tool you choose to use in your job search, you should do so with your own discretion and judgment... Please consult with the Career and Professional Development Center staff for suggested best practices if you choose to use AI in your job search.

U4Code Generation & Programming
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No policy defined yet
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Research

U5Research Writing & Manuscript Preparation
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No policy defined yet
U6Research Data & Analysis
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No policy defined yet
U7Research Ethics & Integrity
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No policy defined yet
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Academic Integrity

U8Disclosure & Attribution Requirements
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No policy defined yet
U9Detection & Enforcement
Integrity Process
  • Unauthorized use of AI for a class-related assignment constitutes a violation of the Student Honor Code

It is imperative that students do not use AI for any class related assignment unless they are given explicit permission by the faculty member. Failure to do so would constitute a violation of the Student Honor Code.

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Institutional & Administrative

U10Faculty & Staff Use
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No policy defined yet
U11Institutional Data Protection & Approved AI Platforms
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No policy defined yet
U12University AI Governance & Strategy
Governance Addressed
  • The law school delegates academic AI policy decisions to individual faculty members, who determine the rules for their specific classes and courses

The law school’s academic policies regarding AI are determined by individual faculty for each individual class and course.

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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