General Guidelines and Recommendations

There is a lot to consider when deciding when and how to integrate AI into educational and research practices. Some of the considerations we’ll explore in chapters that follow include data privacy, bias in AI algorithms, and the implications of AI-generated content on academic integrity. While much attention is given to what AI can do, this book invites you to ask critical and reflective questions about what it should (and shouldn’t) do in your unique context.

That said, through your engagement with this resource we explain how and why you should:

• Protect student and institutional data while using AI tools.
• Recognize and attempt to mitigate biases in AI outputs to ensure fairness and equality in educational settings.
• Acknowledge your use of AI.
• Balance the use of AI-generated content with the need to maintain academic rigour and integrity.

For more specific guidelines and recommendations on the use of generative AI, be sure to connect with colleagues in your local context for any discipline or institution-specific expectations.