Guidelines for AI Usage in Universities

From: https://www.oxsico.com/guidelines-for-ai-usage-in-universities/

RESPONSIBLE AND ETHICAL USE

  1. Researchers should clearly disclose the use of AI tools in their research methodology and provide appropriate attribution when referencing or incorporating AI-generated content.
  2. Researchers must adhere to relevant privacy laws and obtain necessary consents when using AI tools that involve data collection, storage, or processing.
  3. Researchers should be aware of potential biases in AI tools and take measures to address them, ensuring fairness and unbiased outcomes in research findings.
  4. Researchers should respect intellectual property rights and comply with copyright laws when utilizing AI tools or incorporating AI-generated content into research papers.

 

METHODOLOGY AND DATA ANALYSIS

  1. Researchers should carefully evaluate the suitability of AI tools for their research objectives, considering factors such as accuracy, reliability, and compatibility with the research domain.
  2. Findings or results obtained with the assistance of AI tools should be validated and verified through appropriate research methodologies, ensuring the robustness and validity of the research outcomes.
  3. Researchers should prioritize the use of AI tools that provide explanations or insights into the reasoning behind their outputs, enabling a deeper understanding of the research process and results.

 

ACADEMIC INTEGRITY AND PLAGIARISM

  1. Researchers should appropriately attribute the contributions of AI tools or AI-generated content used in their research papers, in accordance with academic integrity standards and citation guidelines.
  2. Researchers should ensure that their research work demonstrates originality, critical thinking, and creativity, going beyond mere reproduction of AI-generated content or ideas.

 

PEER REVIEW AND COLLABORATION

  1. Researchers should transparently disclose the use of AI tools to peers and collaborators during the review and collaboration process, ensuring openness and facilitating meaningful discussions.
  2. When collaborating with others, researchers should establish clear guidelines regarding the use of AI tools, data sharing, and authorship responsibilities.