Developing Plagiarism Detection Tools

Design an advanced AI system outline for detecting and preventing plagiarism in academic submissions. Describe key features, algorithms, and user interaction elements. Consider the following aspects:

1. **Detection Algorithms**: Explain the algorithms used to identify similarities between texts and authenticate original work. Include machine learning models, natural language processing techniques, and database management.

2. **User Interface**: Describe how the system will present findings to users such as students and faculty. Discuss dashboard design and report generation.

3. **Integration**: Discuss the integration process with existing university systems and learning management platforms.

4. **Ethical Considerations**: Outline ethical considerations including privacy, consent, and data handling.

5. **Scalability**: Provide an approach to handle a large volume of submissions seamlessly.

6. **Examples**: Provide examples of similar successful systems and lessons learned.

Use this prompt to guide your detailed plan of creating a comprehensive AI-based plagiarism detection tool for universities in 2025.