# Large Language Models in Computer Science Classrooms: Ethical Challenges and Strategic Solutions
## 4 Suggested Guidelines for Ensuring the Ethical Use of LLMs in Academia
### Institutional Frameworks for AI Tool Integration: A Cross-University Study
Instead, the study advocated for a broader understanding of originality that embraces human-AI collaboration, reflecting the evolving nature of knowledge production. This re-conceptualization fosters meaningful engagement with technology while preserving academic integrity--a perspective that complements the emphasis placed by [PERSON] et al. on ethical and balanced AI integration in education. Further broadening the scope, [PERSON] et al. [6] provided a global perspective through a survey of the academic guidelines of 80 universities across six continents. Examining official university protocols and national guidelines, the study analyzed the pedagogical, ethical, and legal frameworks developed to regulate the use of AI tools in academic contexts. The methodology included a detailed text-mining analysis to identify themes and patterns in the guidelines, such as responsibility, privacy, academic integrity, and accessibility, with a focus on understanding both the positive educational impacts and potential ethical challenges posed by LLMs and GenAI. The research underscored the varied global responses to the rapid adoption of AI, ranging from positive reception emphasizing personalized learning and administrative efficiencies to critical concerns about fairness, biases, and data privacy. Through this analysis, they highlighted a dual imperative for universities: leveraging GenAI and LLMs to enhance learning experiences, while also implementing ethical and responsible guidelines. Some universities allow for the controlled use of AI tools to support learning activities such as brainstorming and content revision, while others impose stricter limitations, particularly to preserve academic integrity in assessments. Their findings revealed that most institutions lack comprehensive policies specifically tailored to GenAI and LLM use, pointing to an urgent need for clear frameworks that balance technological innovation with academic ethics. The study concluded with recommendations for universities to adopt frameworks that encourage responsible AI use, including transparency,human oversight, and equity in access, ultimately aiming to foster the ethically sound and effective integration of AI tools in education. [PERSON] et al. [44] provided a thorough analysis of the policies and guidelines regarding the use of LLMs in U.S. universities, particularly in the wake of ChatGPT's release in 2022. Their study reviewed the approaches of 116 high-research activity universities, revealing that 63% endorsed the use of GenAI in educational settings, complete with detailed guidelines for classroom integration. About half of these institutions offer sample GenAI curricula and provide ethical guidelines that stress the importance of Diversity, Equity, and Inclusion (DEI), while there is significant support for the educational benefits of GenAI, the study also underscored the mixed responses regarding its implementation, noting that most of the guidance was geared towards writing activities, with STEM-related applications receiving less clear and less frequent mention. The authors cautioned against the overly enthusiastic adoption of GenAI, suggesting that it might compel faculty to undertake extensive revisions of teaching methods and address numerous ethical considerations. Unlike other fields, computer science requires a nuanced approach that reflects its specific pedagogical demands. A detailed policy framework tailored to this field is essential, whether through the crafting of course-level policies or establishing a general framework differentiated by course types. We propose general policy principles that can be adapted to align with the specific goals and learning methods of individual courses. Our research focuses on strategies for integrating LLMs into programming exercises in a way that enhances learning while fostering the development of essential problem-solving skills.