Generative AI Recommendations

To promote transparency, faculty are encouraged to document the use of generative AI in course development and grading, ensuring students understand its role. Introducing prerequisite assessments and designing assignments requiring critical thinking will ensure that students have a strong foundational understanding before leveraging AI tools.

Create accessible content for students with disabilities, such as, but not limited to, generating alternative text for images, creating transcripts for video lectures, or converting written content into audio. Support Universal Design for Learning by offering content in multiple formats to accommodate diverse learning preferences, with course designers ensuring accuracy and effectiveness.

Faculty are encouraged to have students critically evaluate the AI tools they use in projects and assignments by analyzing accuracy, biases, and limitations. This will ensure thoughtful and informed use of AI in student work.

Faculty are encouraged to redesign assessments that emphasize critical thinking and creativity, making them less reliant on GenAI and to enhance assessment practices in general. All AI-assisted evaluations should include human oversight to ensure accuracy, and transparent rubrics will help clarify how AI-generated content will be assessed. Additionally, student reflection components can help measure deeper comprehension by requiring students to explain their decision- making process and the role of AI in their work.