Tech is a massive part of being a student and researcher. It connects to many aspects of being an active learner and explorer of knowledge. Generative AI is a type of artificial intelligence (AI) that uses machine learning algorithms to produce or remix content. This content output can be text, imagery, audio, code or other formats.
Generative Artificial Intelligence (AI) tools can be used in many ways in your study or research - to synthesise, create, refine, test, inspire or modify.
This guide provides information about using generative AI tools in an ethical, creative and evaluative way. The four main areas covered are:
Types of generative AI
Ethical and evaluative use
How to use and explore
AI research and news
Generative AI tools are evolving incredibly quickly and their impact on education and research is significant and ongoing. It has the potential to support any area of study, everything from creative arts to game and application development.
There are numerous types of generative AI that can create music, art, video, text, code, equations or even a blend of these. The flexibility of these tools provides new ways to create content, explore ideas or to synthesise information.
However, there are important ethical factors to consider when using generative AI. We encourage you to explore some of those factors in this guide.
Responsible and ethical use of generative AI is dependent on your evaluation skills. Generative AI uses complex algorithms to produce highly realistic content. Which can be difficult to distinguish from content created by a human. This means critical thinking skills are essential to evaluate the authenticity and accuracy of what has been generated.
When working through this guide, find the pieces and further resources that help you to improve your understanding of generative AI tools.
Generative AI is a rapidly evolving technology that impacts the way we create content and solve problems. When you are using these tools, it is important to think critically and evaluate the reliability, accuracy and context of the content generated.
Bookmark this key Deakin resource for navigating generative AI in your study to ensure academic integrity in your use of these tools.
Thinking about using generative AI in your research? Read the Deakin Research Integrity guidelines for more information on ethics, bias and the potential benefits.
Crediting creators and attributing content is a core part of both academic integrity and of being a digital citizen more broadly. This guide was created by Deakin Library.