CS 274: Academic Integrity

Policy for Individual Assignments:

• All submitted student work, including solutions and code, must be the work of the individual student receiving credit. Students are allowed to verbally discuss assignments with other students in the course but are not allowed to view or share any written information with other students (such as written notes, notes on a whiteboard, solutions typed up by other students, etc).
• Policy on use of GenAI for individual assignments (adapted from Prof Alane Suhr's NLP course at UC Berkeley):
  We recognize GenAI tools are ubiquitous and can help you learn, but your submissions must be your own original work. In this course, GenAI is a consulting tool, not an author.
  • ALLOWED (WITH CITATION):
    • Asking for conceptual explanations (e.g., How do Lagrange multipliers for optimization work?, or How are Bayesian priors and regularization related?).
    • For writing code, asking for clarification of error messages or unfamiliar library behavior.
    • If you use GenAI in any of ways listed above to assist you in doing an assignment, you need to include an Acknowledgement at the start of the solution to any problem where you used GenAI, stating clearly (i) what tool you used and (ii) for what purpose.
  • NOT ALLOWED:
    • Pasting any assignment text directly into GenAI.
    • Requesting (from an AI tool) solutions, proofs, derivations, or code for assignment parts.
    • Vibe coding. Do not blindly paste output or rely on agents to implement your assignments.
  • If in doubt, please reach out to the professor or a TA by posting a question on Ed

Academic dishonesty includes Cheating, Dishonest Conduct, Plagiarism, and Collusion. University regulations require that violations of academic integrity must be referred to the OAISC. Please familiarize yourself with the UCI Policy on Academic Integrity and speak to the instructor if you have any questions about what is and is not allowed in this course

Failure to follow any of the policies listed or referred to on this page could result in getting a 0 for the submission or getting an F for the course overall.