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Artificial Intelligence (AI) Library Guide

Cyprus University of Technology Regulations

The University encourages the use of modern technological tools, as they provide opportunities for improving education, research, and the overall learning experience. At the same time, the University recognizes the risks associated with technology and is committed to carefully addressing the potential misuse of technological tools. Furthermore, the University aims to ensure the protection of privacy and the proper use of personal data.

Responsible Use: Emphasis on ethical and responsible use of AI tools to support teaching and learning.

Privacy and Security: Ensuring data privacy and security when using AI.

Avoiding Bias: Promoting inclusivity and avoiding bias in AI applications.

Transparency: Clear communication about the use of AI in educational processes.

Academic Integrity: Students must submit their work and disclose any use of AI tools.

Data Confidentiality: Avoid entering sensitive data into AI tools.

Content Verification: Critically evaluate and verify AI-generated content.

Teaching and Research: Use AI to enhance teaching methods and support research while maintaining academic integrity.

Assessment and Evaluation: Implement AI tools for fair and unbiased assessment of student work.

Professional Development: Continuous learning and adaptation to new AI technologies.

Avoiding Harm: Ensure AI use does not cause harm or mislead.

Intellectual Property: Respect intellectual property rights and avoid plagiarism.

Data Management: Secure handling of sensitive research data.

Regulations and Best Practices

  1. Transparency and Disclosure
    • Regulation: Disclose the use and extent of AI tools in your research.
    • Best Practice: Include a "AI Use Transparency" section explaining how AI contributed to the work and describing your process for verification.
  2. Proper Attribution
    • Regulation: Content generated by AI must be cited like any external source to avoid academic dishonesty.
    • Best Practice: Use your academic institution’s recommended citation formats to reference AI tools, specifying the model used and its role in the work.
  3. Ethical Considerations
    • Regulation: Consider ethical implications, especially when working with sensitive data or topics. Ensure AI use does not violate privacy or reinforce bias.
    • Best Practice: Consult ethics committees when necessary and ensure AI use aligns with the ethical standards of your discipline.
  4. Acknowledging the Limitations of AI
    • Regulation: Recognize that AI cannot replace human expertise and acknowledge its limitations in research.
    • Best Practice: Mention AI limitations in your methodology, describing human oversight and the steps taken to minimize errors.
  5. Education and Support from the Academic Institution
    • Regulation: Complete training on responsible AI use as required by your university, covering evaluation, ethics, and citation practices.
    • Best Practice: Participate in training programs and stay up to date on your institution’s policies and developments in AI.
  6. Ongoing Review of AI Policies
    • Regulation: Stay informed about changes in AI policies as the technology evolves.
    • Best Practice: Regularly consult academic integrity offices or AI policy resources. Engage in discussions and workshops on the impact of AI on research integrity.

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