Teaching & Learning
- UCLA also states that class assignments are expected to be original work submitted by individual students (or by teams if directed by the instructor)
- UCLA provides campus guidance emphasizing academic integrity in the use of generative AI, but does not state a single campus-wide rule that AI is permitted or prohibited for all coursework and assignments
- Separately, UCLA provides instructor-facing sample syllabus language indicating that instructors may prohibit generative AI use for completing any aspect of assignments and treat it as plagiarism within a specific course
UCLA DTS is committed to advancing the use of generative AI to enhance academic, research, and operational excellence while upholding integrity, ethical conduct, and responsible use
UCLA DTS emphasizes the following principles:
Academic Integrity
All assignments should be fully prepared by the student. Developing strong competencies in the skills associated with this course, from student-based brainstorming to project development, will prepare you for success in your degree pathway and, ultimately, a competitive career. Therefore, the use of generative AI tools to complete any aspect of assignments for this course is not permitted and will be treated as plagiarism.
Plagiarism in any form is a violation of the UCLA Student Conduct Code. All class assignments are expected to be original work submitted by individual students; or, if directed by the instructor, by students working in a team.
- UCLA's provided sources do not define a specific generative AI policy for student use during examinations or assessments
- UCLA does note that university regulations regarding examinations and grading exist in the Manual of the Los Angeles Division of the Academic Senate, but the provided source text does not specify AI-related rules for exams
The Manual of the Los Angeles Division of the Academic Senate includes a number of regulations regarding examinations and grading.
- The provided teaching guidance emphasizes preparing students to thoughtfully engage with generative AI, but does not set permissions or prohibitions for study use
- UCLA provides general guidance supporting responsible, transparent, ethical, and risk-informed use of generative AI tools in education, but does not define a specific campus-wide policy stating whether students may use AI tools for non-graded learning or study assistance
UCLA DTS supports the responsible, transparent, ethical, and risk-informing use of generative AI tools in education, research, and administration
Prepare students to thoughtfully engage, co-create, be curious, and know how to interact with other technological developments as they occur.
- UCLA's sources describe generative AI as capable of producing code and provide general guidance supporting responsible use, but they do not define specific rules for student use of AI code generation tools on programming assignments
- A provided sample syllabus policy states that generative AI tools may be prohibited for completing any aspect of assignments in a given course (which could include programming assignments if the instructor applies it that way), but it is presented as course-level language rather than a universal rule
Generative AI refers to advanced algorithms capable of creating content—be it text, images, music, or even code—from existing data patterns.
All assignments should be fully prepared by the student. Developing strong competencies in the skills associated with this course, from student-based brainstorming to project development, will prepare you for success in your degree pathway and, ultimately, a competitive career. Therefore, the use of generative AI tools to complete any aspect of assignments for this course is not permitted and will be treated as plagiarism.
Research
- No explicit disclosure, permission, or prohibition language for manuscript preparation is defined in the provided research-related sources
- UCLA states that it supports responsible, transparent, ethical, and risk-informed use of generative AI tools in research, but the provided sources do not define specific rules for using AI to draft or edit research papers, theses, dissertations, or manuscripts
UCLA DTS supports the responsible, transparent, ethical, and risk-informing use of generative AI tools in education, research, and administration
- The provided sources do not define detailed rules about using AI for research data analysis methods beyond these data-protection constraints
- UCLA also notes that prompts entered into consumer AI models can help train the model and can be used for marketing purposes, and advises that sensitive information should not be provided
- UCLA provides restrictions and recommendations focused on protecting sensitive data when using AI tools, including a prohibition on inputting certain protected data into AI tools unless explicitly approved in a secure environment
Users may not input the following into AI tools unless explicitly approved in a secure environment:
(any questions regarding the below, please use grc@ucla.edu as the intake email for your questions)
FERPA-protected student information (IDs, grades, coursework, etc) – UCLA Registrar FERPA Policy
HIPPA-protected health data – UCLA Health HIPAA Notice
First, understand that the prompts you type using consumer AI models such as ChatGPT, Gemini and CoPilot help train the model and can be used for marketing purposes. Sensitive information such as proprietary, business-discreet, or employee-sensitive information should not be provided.
- The provided sources do not define specific requirements for AI-generated content in grant proposals, IRB applications, or formal research ethics declarations
- UCLA frames its generative AI guidance around responsible and ethical use, including transparency and awareness of limitations and risks, and lists ethical considerations such as evaluating systems for bias and fairness and ensuring transparency in decisions affecting personal information
UCLA DTS supports the responsible, transparent, ethical, and risk-informing use of generative AI tools in education, research, and administration
UCLA DTS emphasizes the following principles:
Academic Integrity
Data Privacy and Security
Ethical Considerations
Awareness of Limitations and Risks
Transparency
Ethical and Equitable
GenAI systems should be regularly evaluated for bias and fairness to ensure that they do not perpetuate discrimination or harm.
There should be transparency in how GenAI systems make decisions, especially if these decisions affect personal information.
Academic Integrity
- The provided sources do not define a campus-wide standard disclosure statement or a required method for citing AI tools across all courses and academic work
- UCLA provides sample syllabus language stating that the policy applies to uncited or improperly cited use of content, including work created in collaboration with generative AI, indicating an expectation for proper citation
This policy applies to all uncited or improperly cited use of content, whether that work is created by human beings alone or in collaboration with a generative AI.
- UCLA states that the Office of Student Conduct reviews and adjudicates suspected violations when accusations of academic dishonesty occur
- The provided sources do not define an institutional stance on AI-detection tools (e.g., Turnitin AI detection) in the source text provided
- UCLA also indicates that instructors have access to a misconduct resource developed in collaboration with the Office of Student Conduct to guide instructors with concerns about possible student misuse of generative AI in courses
Accordingly, when accusations of academic dishonesty occur, The Office of Student Conduct is charged with reviewing and adjudicating suspected violations.
Developed in collaboration with UCLA Office of Student Conduct, this document guides instructors who have concerns about possible student misuse of generative AI in their courses.
Institutional & Administrative
- UCLA states that it supports responsible use of generative AI in administration and provides employees access instructions for Microsoft Copilot using UCLA credentials
- The provided sources do not define specific rules for faculty/staff use of AI for grading, feedback, lesson planning, recommendation letters, or other sensitive academic personnel workflows; the explicit restrictions in the sources focus primarily on data protection
UCLA DTS supports the responsible, transparent, ethical, and risk-informing use of generative AI tools in education, research, and administration
As a campus employee, browse to Microsoft's Copilot page, and use your UCLA logon credentials to authenticate (or your school / department provided logon credentials for your Office 365 environment).
- UCLA states that P1-P3 data are allowed in UCLA accounts for listed tools, and that P4 data are allowed only with Unit Head and CISO approval
- UCLA states that it provides generative AI tools that meet campus security and privacy standards and lists approved tools for faculty, staff, and students with approved data classification levels
- UCLA also states users may not input certain protected data (including FERPA-protected student information and HIPAA-protected health data) into AI tools unless explicitly approved in a secure environment, and warns that prompts entered into consumer AI models can help train the model and may be used for marketing purposes
UCLA is committed to provide GenAI tools that follow commercial safety and privacy practices to the campus community.
Approved Data Classification LevelP1-P3 allowed in UCLA account; P4 data allowed with Unit Head and CISO approval.
Users may not input the following into AI tools unless explicitly approved in a secure environment:
(any questions regarding the below, please use grc@ucla.edu as the intake email for your questions)
FERPA-protected student information (IDs, grades, coursework, etc) – UCLA Registrar FERPA Policy
HIPPA-protected health data – UCLA Health HIPAA Notice
First, understand that the prompts you type using consumer AI models such as ChatGPT, Gemini and CoPilot help train the model and can be used for marketing purposes. Sensitive information such as proprietary, business-discreet, or employee-sensitive information should not be provided.
- UCLA states a vision to position UCLA as a thought leader in AI and references guiding principles for responsible use and available AI tools that meet campus security and privacy standards
- UCLA describes a campus-wide AI Innovation Initiative to build AI fluency, foster innovation, and drive responsible AI adoption, including partnerships with organizations such as OpenAI and Google
- The provided sources do not define a single comprehensive governance policy document in the text captured, but they do state that DTS supports responsible AI use aligned with UC principles and UCLA policies
The AI Innovation Initiative is a campus-wide effort to build AI fluency, foster innovation, and drive responsible AI adoption. Through strategic partnerships with leaders like OpenAI and Google, we’re empowering faculty, staff, and students to explore high-impact use cases, prototype solutions, and apply AI ethically across research, teaching, and operations.
Our vision is to position UCLA as a thought leader in AI, cultivating a collaborative culture that values experimentation, transparency, and equitable innovation.
UCLA DTS supports the responsible, transparent, ethical, and risk-informing use of generative AI tools in education, research, and administration
All AI aligns with:
UC Responsible AI Principles
UC Electronic Communications Policy
UC IS-3 Information Security Policy
UCLA’s IT security, academic integrity, and data governance policies
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 University of California, Los Angeles's AI Policies
University of California, Los Angeles has defined AI policies in 12 of 12 categories, with an overall coverage score of 100%.
UCLA provides sample syllabus language stating that the policy applies to uncited or improperly cited use of content, including work created in collaboration with generative AI, indicating an expectation for proper citation. The provided sources do not define a campus-wide standard disclosure statement or a required method for citing AI tools across all courses and academic work.
UCLA states that the Office of Student Conduct reviews and adjudicates suspected violations when accusations of academic dishonesty occur. UCLA also indicates that instructors have access to a misconduct resource developed in collaboration with the Office of Student Conduct to guide instructors with concerns about possible student misuse of generative AI in courses. The provided sources do not define an institutional stance on AI-detection tools (e.g., Turnitin AI detection) in the source text provided.
UCLA states that it provides generative AI tools that meet campus security and privacy standards and lists approved tools for faculty, staff, and students with approved data classification levels. UCLA states that P1-P3 data are allowed in UCLA accounts for listed tools, and that P4 data are allowed only with Unit Head and CISO approval. UCLA also states users may not input certain protected data (including FERPA-protected student information and HIPAA-protected health data) into AI tools unless explicitly approved in a secure environment, and warns that prompts entered into consumer AI models can help train the model and may be used for marketing purposes.