Lewis & Clark College AI Policy

Generative AI may be incorporated in courses to varying degrees or not at all, at the instructor’s discretion. Students are also expected to follow any instructor policies for the use of assistive technologies, like generative AI, provided in course syllabi. If a policy is not provided by the instructor, then students are expected to use assistive technologies responsibly, such as cite when appropriate and never claim AI-generated work as their own.

All assignments should be your own original work. Learning to use AI is an emerging skill so you may use AI programs (e.g. ChatGPT, Gemini) to help generate ideas and brainstorm.

You may not submit any work generated by an AI program as your own.

Learning to use AI is an emerging skill so you may use AI programs (e.g. ChatGPT, Gemini) to help generate ideas and brainstorm. However, you should note that the material generated by these programs may be inaccurate, incomplete, or otherwise problematic. Beware that use may also stifle your own independent thinking and creativity.

Generative AI may be incorporated in courses to varying degrees or not at all, at the instructor’s discretion. Students are also expected to follow any instructor policies for the use of assistive technologies, like generative AI, provided in course syllabi. If a policy is not provided by the instructor, then students are expected to use assistive technologies responsibly, such as cite when appropriate and never claim AI-generated work as their own.

Those considering the use of GenAI in their work should consider what data they are using and whether or not such data must be protected due to laws and regulations, such as federal research data requirements, FERPA, or college policy. Entering data into a GenAI tool or service is like posting that data on a public website. GenAI tools collect and store data from users as part of their learning process.

Any data you enter into a GenAI tool may become part of its training data, which it may then share with other users. Because of that, personally identifiable, confidential, privileged or other protected or sensitive data or information shall not be entered into GenAI tools.

All of these factors indicate the output should not be fully trusted and should be reviewed before being used or shared.

Only publicly available information that has no legal or other requirement for confidentiality, or falls outside of FERPA or research data requirements, may be used in GenAI tools and services.

Proprietary research data

Unpublished research findings

Intellectual property not yet protected by patents

Confidential project proposals and reports

Those considering the use of GenAI in their work should consider what data they are using and whether or not such data must be protected due to laws and regulations, such as federal research data requirements, FERPA, or college policy.

Any data you enter into a GenAI tool may become part of its training data, which it may then share with other users. Because of that, personally identifiable, confidential, privileged or other protected or sensitive data or information shall not be entered into GenAI tools.

All of these factors indicate the output should not be fully trusted and should be reviewed before being used or shared.

Proprietary research data

Unpublished research findings

Intellectual property not yet protected by patents

Confidential project proposals and reports

If a policy is not provided by the instructor, then students are expected to use assistive technologies responsibly, such as cite when appropriate and never claim AI-generated work as their own.

If you include material generated by an AI program, it should be cited like any other reference material (with due consideration for the quality of the reference).

The following are prohibited forms of conduct under the Academic Integrity Policy. Any attempted or completed action outlined below is subject to disciplinary action:

1. Cheating - Using unauthorized materials or accessing information not explicitly permitted as part of an academic exercise.

2. Falsification - Falsification of any information, data, or citation as part of an academic exercise.

3. Plagiarism - Reproduction of ideas, words, or statements of another without due acknowledgement.

6. Exploitation of Academic Assistance - Unfairly benefiting from the assistance provided by another in the process of completing an academic exercise.

7. Facilitating Academic Dishonesty - Knowingly helping another to violate the Academic Integrity Policy.

You may not submit any work generated by an AI program as your own.

If a policy is not provided by the instructor, then students are expected to use assistive technologies responsibly, such as cite when appropriate and never claim AI-generated work as their own.

This committee is charged with fostering the grassroots exploration, adoption, and innovation of generative AI tools across the college. The committee will empower staff, faculty and students to experiment with AI in their roles, identify effective use cases, and share successes with the wider community, creating a bottom-up model of innovation.

Therefore, employees may not enter college data that could be considered for only internal purposes, sensitive, or restricted into any GenAI tool or service.

All of these factors indicate the output should not be fully trusted and should be reviewed before being used or shared.

Entering data into a GenAI tool or service is like posting that data on a public website. GenAI tools collect and store data from users as part of their learning process.

Any data you enter into a GenAI tool may become part of its training data, which it may then share with other users. Because of that, personally identifiable, confidential, privileged or other protected or sensitive data or information shall not be entered into GenAI tools.

Lewis & Clark does not have enterprise contracts or agreements with any GenAI tool or service provider. No GenAI tool has been identified that meets the college’s security, privacy, and compliance standards for handling anything besides public data. Therefore, employees may not enter college data that could be considered for only internal purposes, sensitive, or restricted into any GenAI tool or service.

Only publicly available information that has no legal or other requirement for confidentiality, or falls outside of FERPA or research data requirements, may be used in GenAI tools and services.

We should assume that any data put into a GenAI model becomes public.

GenAI Advisory Committee

This committee is charged with fostering the grassroots exploration, adoption, and innovation of generative AI tools across the college. The committee will empower staff, faculty and students to experiment with AI in their roles, identify effective use cases, and share successes with the wider community, creating a bottom-up model of innovation. IT will provide guidance and enterprise-level support when transformative use cases emerge.

Our Vision: By harnessing the creativity and expertise of our community, the GenAI Advisory Committee will position the college as a leader in ethical and effective use of generative AI in higher education. This grassroots approach will ensure that AI tools are integrated thoughtfully, enhancing both individual workflows and institutional goals.

The President’s Office Community Dialogues initiative is working with the L&C AI Advisory Group to understand our community’s perspectives and direction when it comes to the future of AI on our campus.

In partnership with the L&C AI Working Group, our campus-wide spring AI dialogue series was a resounding success. Faculty, staff, and students gathered across multiple sessions to explore ethical, pedagogical, and cultural perspectives on AI. The rich insights gathered from these discussions have already informed campus strategic efforts and the ongoing conversation about the role of AI at Lewis & Clark.