# Large Language Models in Computer Science Classrooms: Ethical Challenges and Strategic Solutions
## 5 Tools and Strategies for Ensuring Academic Integrity
### Plagiarism Detection Methods
#### 5.3.2 Automated Detection Software
\begin{table}
\begin{tabular}{l c c c c} \hline \hline
**Tool Name** & **True AI** & **True Human** & **Error** & **Accuracy** \\ \hline SEO.ai ([[https://seo.ai/detector](https://seo.ai/detector)]([https://seo.ai/detector](https://seo.ai/detector)) accessed on 29 December 2024) & 2/10 & 9/10 & - & 55\% \\ \hline Copyeleaks ([[https://copyleaks.com/features/ai-content-detector](https://copyleaks.com/features/ai-content-detector)]([https://copyleaks.com/features/ai-content-detector](https://copyleaks.com/features/ai-content-detector)) accessed on 29 December 2024) & 10/10 & 5/10 & - & 75\% \\ \hline GPTZero ([[https://gptzero.me/](https://gptzero.me/)]([https://gptzero.me/](https://gptzero.me/)) accessed on 29 December 2024) & 6/10 & 4/10 & - & 50\% \\ \hline GPT-2 Output Detector ([[https://openai-openai-detector.hf.space](https://openai-openai-detector.hf.space)]([https://openai-openai-detector.hf.space](https://openai-openai-detector.hf.space)) accessed on 29 December 2024) & 5/10 & 2/10 & - & 35\% \\ \hline Corrector ([[https://corrector.app/ai-content-detector/](https://corrector.app/ai-content-detector/)]([https://corrector.app/ai-content-detector/](https://corrector.app/ai-content-detector/)) accessed on 29 December 2024) & 1/10 & 9/10 & 6/20 & 50\% \\ \hline Content at Scale ([[https://contentatscale.ai/ai-content-detector/](https://contentatscale.ai/ai-content-detector/)]([https://contentatscale.ai/ai-content-detector/](https://contentatscale.ai/ai-content-detector/)) accessed on 29 December 2024) & 0/10 & 10/10 & - & 50\% \\ \hline Roberta OpenAI Detector—Huggingface ([[https://huggingface.co/openai-community/rob](https://huggingface.co/openai-community/rob)]([https://huggingface.co/openai-community/rob](https://huggingface.co/openai-community/rob)) era-base-openai-detector accessed on 29 December 2024) & 2/10 & 3/10 & 9/20 & 25\% \\ \hline ChatGPT Detector—Huggingface ([[https://huggingface.co/spaces/Hello-SimpleA](https://huggingface.co/spaces/Hello-SimpleA)]([https://huggingface.co/spaces/Hello-SimpleA](https://huggingface.co/spaces/Hello-SimpleA)) 1/chatgpt-detector-single accessed on 29 December 2024) & 0/10 & 6/10 & 6/20 & 30\% \\ \hline Writer ([[https://writer.com/ai-content-detector/](https://writer.com/ai-content-detector/)]([https://writer.com/ai-content-detector/](https://writer.com/ai-content-detector/)) accessed on 29 December 2024) & 0/10 & 9/10 & - & 45\% \\ \hline ChatGPT-01 ([[https://chatgpt.com/](https://chatgpt.com/)]([https://chatgpt.com/](https://chatgpt.com/)) accessed on 29 December 2024) & 2/10 & 9/10 & - & 55\% \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Sample table with URLs and classification results. Similarly, Carnegie Mellon University (CMU) urges caution, highlighting concerns about accuracy, false positives, false negatives, and inconclusive results. CMU stresses that these tools can only estimate the likelihood of AI-generated content and should be supported by additional evidence when assessing potential academic integrity violations. The University of British Columbia (UBC) discourages the use of AI detection tools due to issues relating to accuracy, bias, privacy, and intellectual property. It notes that Turnitin's AI-detection feature remains disabled because of unresolved testing and transparency concerns. UBC advises instructors to avoid relying solely on these tools as evidence in misconduct cases and to prioritize student consent and privacy. Similarly, Leeds University prohibits the use of AI detection tools, citing concerns about data security breaches, the potential use of submitted work being used as training data for AI systems, and the significant inaccuracies of such tools. Finally, the University of Cape Town is actively testing AI detection tools, including Turnitin, to evaluate their ethical use and understand their capabilities and limitations in maintaining academic integrity. These diverse strategies underscore the difficulties that universities encounter in integrating AI detection tools in a manner that maintains academic integrity.