Arkansas Tech University has defined AI policies across 11 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. The university prohibits the use of AI tools in coursework unless explicitly permitted by instructors. 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.
(i) Open Use Guidelines: Embrace and encourage AI use in assignments, with the requirement that students disclose any AI assistance.
AI Policy: Permitted in this Course with Attribution
In this course, students are encouraged to use Generative AI Tools like ChatGPT to support their work. To maintain academic integrity, students must disclose any AI-generated material they use and properly attribute it, including in-text citations, quotations, and references.
(ii) Moderate Use Guidelines: Encourage AI use in specific assignments, but not all. Students must disclose any AI assistance.
AI Policy: Permitted when Assigned in this Course with Attribution
In this course, students are permitted to use Generative AI Tools such as ChatGPT for specific assignments, as designated by the instructor. To maintain academic integrity, students must disclose any use of AI-generated material. As always, students must properly use attributions, including in-text citations, quotations, and references.
(iii) Strict Use Guidelines: Discourage AI use in this particular course.
AI Policy: Not Permitted in this Course
In this course, it is expected that all submitted work is produced by the students themselves, whether individually or collaboratively. Students must not seek the assistance of Generative AI Tools like ChatGPT. Impermissible use of a Generative AI Tool to complete constitutes academic dishonesty.
• impermissible use of generative AI to create coursework
Cheating on an examination, quiz, report, or assignment involves any of several categories of dishonest activity. Examples of cheating include, but are not limited to:
• copying from the examination or quiz of another student;
• using classroom notes, messages, or crib sheets in any format (paper or electronic) which gives the student extra help on the exam or quiz, and which were not approved by the instructor of the class;
• obtaining advanced copies of exams or quizzes;
• ATU will define the operations and areas that AI is permitted to support, and those it is prohibited from supporting. Uses outside the approved scope require explicit justification and authorization.
• AI will not be the final decision-maker for admissions, financial aid, grading, discipline, employment actions, promotion/tenure, access to services, or other consequential outcomes.
AI tools are defined as software or services that perform automated analysis, prediction, content generation, transcription, tutoring, grading, advising, monitoring, or decision support. This includes generative AI systems and AI-powered administrative or instructional tools.
AI tools used for instruction, administration, assessment, or processing university data require review and approval under this process, including free or trial-based services.
ATU will set clear boundaries for what university activities AI is allowed to support and what it is not allowed to support. AI may be used only within that approved scope.
In this course, students are encouraged to use Generative AI Tools like ChatGPT to support their work.
AI use at ATU must be transparent, governed, and open to review. Everyone at ATU has an ethical responsibility to disclose the use of AI if presenting, publishing, or submitting work as their own.
• Individual ATU employees will disclose their use of AI assistance in any professional publication, presentation, or product created at ATU or using ATU-licensed materials.
When AI is used to generate, summarize, or interpret information for teaching, learning, research, advising, operations, or public communication, users must verify key facts, check sources, and apply basic information literacy. This includes distinguishing primary from secondary sources, confirming quotations and citations, and recognizing when the AI is guessing. If something matters, it must be checked.
When AI is used to generate, summarize, or interpret information for teaching, learning, research, advising, operations, or public communication, users must verify key facts, check sources, and apply basic information literacy. This includes distinguishing primary from secondary sources, confirming quotations and citations, and recognizing when the AI is guessing. If something matters, it must be checked.
• Sensitive or non-public ATU data will not be entered, uploaded to, or exposed to unapproved AI tools or systems. ATU will define sensitive data categories and maintain an approved tools list.
AI tools used for instruction, administration, assessment, or processing university data require review and approval under this process, including free or trial-based services.
• Software used for teaching, testing, advising, assessment, or research support
ATU must uphold fairness, non-discrimination, accessibility, academic integrity, and respect for intellectual property when using AI. The same policies that govern traditional work apply here. AI must not be used to deceive, manipulate, exploit power differences, or hide authorship or work.
AI use at ATU must be transparent, governed, and open to review. Everyone at ATU has an ethical responsibility to disclose the use of AI if presenting, publishing, or submitting work as their own.
• AI-generated citations and quotations may be used only when verified against the original source, and material errors must be corrected promptly when discovered.
To maintain academic integrity, students must disclose any AI-generated material they use and properly attribute it, including in-text citations, quotations, and references.
A student should include the following statement in assignments to indicate use of a Generative AI Tool: “The author(s) would like to acknowledge the use of [Generative AI Tool Name], a language model developed by [Generative AI Tool Provider], in the preparation of this assignment. The [Generative AI Tool Name] was used in the following way(s) in this assignment [e.g., brainstorming, grammatical correction, citation, which portion of the assignment].”
To maintain academic integrity, students must disclose any use of AI-generated material. As always, students must properly use attributions, including in-text citations, quotations, and references.
AI use at ATU must be transparent, governed, and open to review. Everyone at ATU has an ethical responsibility to disclose the use of AI if presenting, publishing, or submitting work as their own.
A violation of academic integrity refers to various categories of inappropriate academic behavior with respect to a course. Students must refrain from cheating, plagiarism, fabrication, impersonation, forgery, collusion and/or other dishonest practices.
• impermissible use of generative AI to create coursework
AI Policy: Not Permitted in this Course
In this course, it is expected that all submitted work is produced by the students themselves, whether individually or collaboratively. Students must not seek the assistance of Generative AI Tools like ChatGPT. Impermissible use of a Generative AI Tool to complete constitutes academic dishonesty.
ATU will set clear boundaries for what university activities AI is allowed to support and what it is not allowed to support. AI may be used only within that approved scope. ATU will not require employees to use generative AI to perform their duties, and any required student use of AI must be clearly disclosed and include a reasonable alternative when appropriate.
• Individual ATU employees will disclose their use of AI assistance in any professional publication, presentation, or product created at ATU or using ATU-licensed materials.
If AI helps produce an output, the person using it is accountable for what it says and how it is used.
In accordance with Arkansas Act 848 of 2025, any AI or automated decision tool used by the university must support a policy that ensures a human employee or authorized designee makes any final decision, regardless of AI recommendations.
AI tools used for instruction, administration, assessment, or processing university data require review and approval under this process, including free or trial-based services. Sensitive Data must not be entered into unapproved, publicly available, or consumer AI systems.
Requests involving AI tools must disclose the type of data processed, including any student, employee, or institutional data. Requests must state whether data is stored, retained, or used to train vendor systems. Requests must describe how humans review outputs prior to use and identify any integration with university systems or authentication services.
• Sensitive or non-public ATU data will not be entered, uploaded to, or exposed to unapproved AI tools or systems. ATU will define sensitive data categories and maintain an approved tools list.
ATU credentials are not to be shared with third party services, and any approved integration must use OIS approved authentication and access controls.
This document lays out Arkansas Tech University’s guiding principles for AI across teaching, learning, research, and operations.
University-wide coordination runs through the ATU AI Ethics, Governance, and Implementation Committee, and the governance expectations that follow are meant to make this practical. Because AI will keep changing, our guidance and review must keep up.
Part II: Governance and Standards
This section captures implementation requirements that support the guiding principles above. These items describe governance structures, operational standards, and compliance requirements.
• ATU will maintain clear ownership, clear standards, and documented decisions for AI governance, including decision rationales where appropriate. For each approved AI system or workflow, ATU will document the purpose, data sources, known limitations, validation/monitoring approach, and the person or office responsible for ongoing review.
• ATU will maintain an inventory of AI uses, review them regularly, monitor high-impact uses, and suspend or retire systems that no longer meet ATU standards for security, privacy, governance, or institutional norms.
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.
Arkansas Tech University has defined AI policies in 11 of 12 categories, with an overall coverage score of 92%.
Disclosure and attribution are required wherever instructors permit AI in coursework, and ATU's broader AI principles impose an ethical responsibility to disclose AI use when presenting, publishing, or submitting work as one's own. The recommended syllabus language also provides a model acknowledgment statement and requires proper in-text citations, quotations, and references.
ATU identifies impermissible use of generative AI to create coursework as an academic integrity violation, and its code places enforcement within the existing academic misconduct framework. The provided sources do not define a university stance on AI detection tools such as Turnitin or GPTZero.
ATU requires review and approval for AI tools used for instruction, administration, assessment, or university data, including free and trial services. Sensitive or non-public ATU data may not be entered into unapproved or consumer AI systems, requests must describe data handling and vendor training/retention practices, and approved integrations must use OIS-approved authentication and access controls.
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