American University of Paris AI Policy

Note on Artificial Intelligence: The increasing availability and capabilities of tools that employ AI is changing methods of learning and working, in some cases making it less obvious what constitutes academic misconduct. Some types of AI use may constitute academic misconduct in one context, while being acceptable or encouraged in another context. Students should refer to the course syllabus for guidelines as to what uses of AI are permitted, and what uses are forbidden, for each particular course.

In this course, you are asked to develop your skills in [name those skills – eg. research, careful analytic and synthetic reading, and written expression]. While use of generative AI may produce artefacts that appear to demonstrate those skills, it will impede your own development as a thinker, researcher, and writer. For this reason, any use of generative AI is forbidden for all exercises in this course.

I expect you to use generative AI [name specific tools] in this class, and to learn how to use AI tools responsibly and ethically. Some assignments will require it, and guidance about the use of tools will be provided in the course materials and in class.

Students must demonstrate their knowledge and comprehension through a wide range of academic exercises, which may include written assignments, research, in-class essays, graphical and computer modeling, examinations or oral presentations.

Note on Artificial Intelligence: The increasing availability and capabilities of tools that employ AI is changing methods of learning and working, in some cases making it less obvious what constitutes academic misconduct. Some types of AI use may constitute academic misconduct in one context, while being acceptable or encouraged in another context. Students should refer to the course syllabus for guidelines as to what uses of AI are permitted, and what uses are forbidden, for each particular course.

In all cases, however, students are bound by this Academic Integrity Policy and its core principles: that students demonstrate their own comprehension of ideas, and in ways permitting faculty to assess this comprehension.

There is a large and growing number of resources available on the web for AI in higher education. The list below has been curated for relevance to AUP and its context of an international liberal arts education.

Offices and departments listed on this page are making the following kinds of genAI-related resources and support available in some way to the AUP community (faculty, staff, and/or students as explained below) in the context of teaching and learning:

Note on Artificial Intelligence. Currently, the American University has no general policy on the use of AI (including generative AI tools such as ChatGPT, Sudowrite, Claude, etc) by students in their work.

Students should refer to the course syllabus for guidelines as to what uses of AI are permitted, and what uses are forbidden, for each particular course.

Coordinating a shared, campus-wide response to generative AI in teaching, scholarship and work at The American University of Paris. The AI@AUP initiative is supported by the AUP President and Provost.

Through convenings with specific stakeholder groups, and with validation by AUP leadership, co-develop broad principles, and policies and guidelines where appropriate, for

The use of AI in contexts relating directly to academics (teaching, learning, and scholarship)

Coordinating a shared, campus-wide response to generative AI in teaching, scholarship and work at The American University of Paris. The AI@AUP initiative is supported by the AUP President and Provost.

AI@AUP is a faculty-led initiative that aims to study, assess and reflect upon the use and potential of AI tools across the campus but, most particularly, in the classroom. We will work together to evaluate the ethical concerns raised by AI tools, such as academic integrity, data privacy, bias, and AI’s potential to exacerbate inequities.

Through convenings with specific stakeholder groups, and with validation by AUP leadership, co-develop broad principles, and policies and guidelines where appropriate, for

The use of AI in contexts relating directly to academics (teaching, learning, and scholarship)

You might want to require students to include declarations about their use of AI use as part of work they submit (including oral presentations). This example comes from Betsy Barre at Wake Forest University, and has generously been made available for re-use and modification without acknowledgement:

For every assignment, you will be asked to sign an ‘Artificial Intelligence Disclosure’.

However, many ways of using these tools are clearly in breach of the existing AUP Academic integrity pledge, signed by students, which states that ‘all academic work submitted at AUP must be the product of the student’s own reflection, study and research’, and prohibits ‘the use of any ideas, words, or data … without properly attributing their source(s)’.

Adversarial conversations about use of generative AI are unlikely to be successful (it will be difficult to prove that a student who denies unauthorized AI use is lying). We may have to spend more time talking with students about their processes and their understanding than we did in the past, about how they produced their work. We may have to be explicit about how we want students to document their process.

You should expect, as part of the process of reflecting on your learning, that I will regularly ask you to speak or to write about how you built your essays, and you should keep notes and drafts as evidence of that process.

If I believe that you have inadvertently or carelessly included material produced by AI as part of submitted work I will ask you to rewrite and resubmit the assignment.

If I believe you have used AI deceitfully, you will fail the assignment or the course, and a report will be filed with the Academic Integrity Office.

AI@AUP is therefore launching a pilot program to enable access to paid tiers on three of the most capable generative AI tools currently available, in order to encourage experimentation and knowledge-sharing around generative AI in teaching and learning.

Some AUP faculty may be seeking to more actively incorporate AI use into coursework and perhaps into their own workflows for course planning. If that’s your case, you might be interested in getting some substantial training, which tends not to be free. With support from the Provost’s Office, AI@AUP is therefore offering financial support for such training to a limited number of faculty, as follows.

Raise visibility of existing work done by stakeholder groups on guidance for AI use on administrative work (e.g. within Communications) for benefit of other groups Publish on microsite for AI@AUP initiative (on AUP website), publicly:

- Links to any existing guidance for AUP units on operational use of AI in work

AI@AUP is therefore launching a pilot program to enable access to paid tiers on three of the most capable generative AI tools currently available, in order to encourage experimentation and knowledge-sharing around generative AI in teaching and learning.

Although these tools will have no connections with AUP’s University Information Systems (Microsoft 365, CAMS, Blackboard, etc.), pilot participants:

* must not input or otherwise feed these tools with sensitive data (e.g. student information)

* must respect AUP’s data-related policies:

* Information Technology Resources Rights, Privileges, & Acceptable Use

* Information Security

* Data Resources, Access, Classification, and Usage

The provisioning of AI-powered resources to AUP students, faculty and staff, in particular where they directly relate to learning, teaching and scholarship

- Guidelines for the provisioning of AI-powered resources for AUP users

Coordinating a shared, campus-wide response to generative AI in teaching, scholarship and work at The American University of Paris. The AI@AUP initiative is supported by the AUP President and Provost.

AI@AUP is a faculty-led initiative that aims to study, assess and reflect upon the use and potential of AI tools across the campus but, most particularly, in the classroom. We will work together to evaluate the ethical concerns raised by AI tools, such as academic integrity, data privacy, bias, and AI’s potential to exacerbate inequities.

Through convenings with specific stakeholder groups, and with validation by AUP leadership, co-develop broad principles, and policies and guidelines where appropriate, for

The use of AI in contexts relating directly to academics (teaching, learning, and scholarship)

The provisioning of AI-powered resources to AUP students, faculty and staff, in particular where they directly relate to learning, teaching and scholarship

- Guiding principles for use of AI at AUP (distilled from stakeholders conversations & validated by AUP leadership)

- Guidelines for syllabus statements on use of generative AI

- Revised Academic Integrity guidelines regarding use of generative AI

- Guidelines for the provisioning of AI-powered resources for AUP users

- Links to any existing guidance for AUP units on operational use of AI in work

- Schedule of training and workshops

- Mechanism for communicating questions/needs

Monthly training and workshops (internally and externally sourced)

Integrate AI literacy into the core curriculum