THE UNIVERSITY OF THE WEST INDIES(UWI) ARTIFICIAL INTELLGENCE(AI) POLICY GUIDANCE FOR STUDENTS

GUIDANCE FOR STUDENTS

4.1 Use Generative AI Responsibly

4.1.1 Academic Integrity and the Use of Generative AI at The UWI

Academic integrity is foundational to learning and understanding material in college, with a core principle being the completion of your own work. As writing and research are central activities, the tools used in these processes, including generative AI technologies, must be employed responsibly.

Consulting with Instructors:

It is crucial to discuss with your instructors what constitutes responsible use of generative AI in your specific discipline and their courses. This ensures that you adhere to accepted academic standards and guidelines.

Citing Generative AI:

If you utilise a generative AI tool like ChatGPT in your academic work, proper citation is necessary. Referencing styles such as Chicago, APA and MLA provide guidelines for citing AI-generated content. When citing, clearly state the extent and manner in which the AI was used, for example, specifying the percentage of content generated by AI.

Accuracy and Ethical Use:

Generative AI tools can sometimes create fictitious sources, so it is vital to verify the accuracy of any citations it provides. This underscores the importance of not misleading readers and maintaining ethical standards in your work.

Responsibility:

Students should strictly follow the guidelines set by their instructors regarding AI use, document all AI contributions, and take full responsibility for the accuracy and integrity of their work.

By adhering to these practices, students can effectively integrate generative AI tools into their academic pursuits without compromising the principles of academic integrity.

4.2 Consider Diversity and Privacy

To ensure an equitable and safe application of this new technology, students should recognise the limitations associated with newly developing technologies.

Understand training data used to create generative AI models may be inherently biased. Students should be aware of this and think critically about results. As we move forward, we should encourage the use of diverse and unbiased data sets used in training models.

Be cautious of entering personal information. Discuss privacy implications.

Protect data and do not enter proprietary information.

4.4 Think Critically About Generative AI

The output of generative AI models is not always accurate. It may be misleading, inaccurate, biased, and may even be made up. Use critical thinking skills and question the source and quality of training data used in the generative AI model. Carefully evaluate the results (and citations), fact check, determine accuracy/usefulness of output, and engage in class discussions to identify and address biases or inaccuracies.