2024-25 Guidance for Artificial Intelligence Tools and Other Services

Generative AI tools must be used ethically, responsibly, and intentionally to support student learning, not to bypass it. Accordingly, the AP African American Studies Individual Student Project must be the student’s own work. While students are permitted to use generative AI tools consistent with this policy, their use is optional and not mandatory. 

Students can use generative AI tools as optional aids for exploration of potential topics of inquiry, initial searches for sources of information, confirming their understanding of a complex text, or checking their writing for grammar and tone. However, students must read primary and secondary sources directly, perform their own analysis and synthesis of evidence, and make their own choices on how to communicate effectively in their presentations. It remains the student’s responsibility to engage deeply with credible, valid sources and integrate diverse perspectives when working on the project. 

The use of artificial intelligence tools by AP Art and Design students is categorically prohibited at any stage of the creative process. 

Generative AI tools must be used ethically, responsibly, and intentionally to support student learning, not to bypass it. Accordingly, all performance tasks submitted in AP Seminar and AP Research must be the student’s own work. While students are permitted to use generative AI tools consistent with this policy, their use is optional and not mandatory. 

Students can use generative AI tools as optional aids for exploration of potential topics of inquiry, initial searches for sources of information, confirming their understanding of a complex text, or checking their writing for grammar and tone. However, students must read primary and secondary sources directly, perform their own analysis and synthesis of evidence, and make their own choices on how to communicate effectively both in their writing and presentations. It remains the student’s responsibility to engage deeply with credible, valid sources and integrate diverse perspectives when working on the performance tasks. Students must complete interim “checkpoints” with their teacher to demonstrate genuine engagement with the tasks.   

Required Checkpoints and Affirmations for AP Capstone

To ensure students are not using generative AI to bypass work, students must complete interim checkpoints with their teacher to demonstrate genuine engagement with the tasks. AP Seminar and AP Research students will need to complete the relevant checkpoints successfully to receive a score for their performance tasks. Teachers must affirm, to the best of their knowledge, that students completed the checkpoints authentically. Failure to complete the checkpoints will result in a score of 0 on the associated task.  

• In AP Seminar, teachers assess the authenticity of student work based on checkpoints that take the form of short conversations with students during which students make their thinking and decision-making visible (similar to an oral defense). These checkpoints should occur during the sources and research phase (IRR and IWA), and argument outline phase (IWA only).
• In AP Research, students must complete checkpoints in the form of in-progress meetings and work in the Process and Reflection Portfolio (PREP). 

AP Seminar and AP Research teachers are also required to affirm, to the best of their knowledge, that the student’s final submission is authentic student work.

College Board reserves the right to investigate submissions where there is evidence of the inappropriate use of generative AI as an academic integrity violation and request from students copies of their interim work for review. 

AP Computer Science Principles students are permitted to utilize generative AI tools as supplementary resources for understanding coding principles, assisting in code development, and debugging. This responsible use aligns with current guidelines for peer collaboration on developing code.    

Students should be aware that generative AI tools can produce incomplete code, code that creates or introduces biases, code with errors, inefficiencies in how the code executes, or code complexities that make it difficult to understand and therefore explain the code. It is the student’s responsibility to review and understand any code co-written with AI tools, ensuring its functionality. Additionally, students must be prepared to explain their code in detail, as required on the end-of-course exam.