Navigating AI in Research
If you're intrigued by the idea of infusing AI into your research journey, read on or contact us. The eResearch team can help you explore the possibilities when your research project meet the power of Artificial Intelligence.
Opportunities for AI use in Research
Generative AI has a number of use cases that can support and improve research outputs including:
- The generation of synthetic data
- Data augmentation
- Image and video analysis
- Natural Language Generation and content summarisation
- Content creation
- Qualitative research
- Drug design
- Simulation of real-world scenarios
It does however have limitations and potential for bias, particularly around issues of ethics and fairness.
See for more stories about AI enabled solutions.
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AI Chat Tool:
Microsoft Copilot is approved for the following data classifications. You must log in with your Griffith account to ensure data safety. Data safety is not guaranteed without logging in your Griffith account.
- Unofficial
- Official (Public)
- Official (Internal)
- Sensitive
Protected data is NOT approved for use in Microsoft Copilot. Please find the data classification on this .
Access URL:
Cost: Free
Other AI Chat Tools: CHATGPT, Claude, Gemini, Grok and other AI chat tools are currently not individually approved, they can still be utilized for research purposes provided they involve Public Data only. This approval is contingent upon adherence to Griffith's criteria for data classification and responsible usage practices. If research necessitates the use of these tools for data classifications beyond public data, it is crucial to seek guidance from eResearch Services to ensure compliance and proper handling of sensitive information.
Please note: DeepSeek is banned at Griffith University.
AI Productivity Tool:
Microsoft 365 Copilot is an AI-powered productivity tool that integrates with Microsoft 365 apps like Word, Excel, PowerPoint, Outlook, and Teams to enhance creativity, productivity, and skills through real-time intelligent assistance.
Individual Licence Required (Fee Applies)-
AI-Powered Meeting Tool:
Microsoft Teams Premium is an offering that builds on the current Teams experience with additional features that help make Teams meetings even more personalized, intelligent, and protected. It also enables premium capabilities for additional meeting scenarios, AI meeting notes and etc.
Individual Licence Required (Fee Applies) -
Generative AI is like a creative powerhouse in the tech world. It's all about teaching computers to make new things – art, music, even stories – by learning from existing examples. It's used in designing unique visuals, crafting new music tracks, and even helping scientists discover new drugs. Generative AI is basically a tool for sparking innovation and creativity across different fields by letting machines generate new stuff on their own.
Machine Learning is like giving brains to computers. It's a part of AI that teaches machines to learn from data and make decisions. This tech powers a lot of cool stuff you see daily – from personalized recommendations on streaming platforms to predicting weather or even detecting fraud in banking. It's all about making computers smarter by learning patterns from data.
Natural Language Processing (NLP) is like teaching computers to understand human language. It's the tech that helps computers read, understand, and even respond to human language just like a person would. Ever used voice assistants like Siri or Alexa? That's NLP in action! It's not just about understanding words; it's also about understanding context and meaning. NLP works behind the scenes in translation apps, chatbots, and even in sorting through tons of text to find specific information. This tech is making it easier for computers to understand us and help us out in a more human-like way.
Computer Vision is like giving eyes to computers. It's all about teaching machines to 'see' and understand the visual world, just like we do. This tech helps computers analyze and make sense of images or videos, which is why it's behind things like facial recognition on your phone or self-driving cars 'seeing' the road. Computer Vision isn't just about recognizing stuff; it's also used in medical imaging, quality control in manufacturing, and even in creating cool Instagram filters! It's making machines see and understand the world around us.
This provided by Griffith's Legal Services outlines some key legal issues to be aware of when considering the use of Generative AI in relation to research and commercialisation. Read more about managing risks to
- confidential or personal information
- IP rights of third parties
- using generative AI to undertake University work
- implementing generative AI tools
AI is a fast developing technology. Before implementing any AI enabled solutions at the university you should seek advice from the appropriate parts of the University where relevant including:
Griffith Research Projects , Ethical AI and Griffith AI Hub
Ethical AI is like a set of rules guiding how AI should behave. It's about making sure that Artificial Intelligence is used in a fair, transparent, and responsible way. Imagine AI that respects privacy, doesn't discriminate, and is transparent about how it works. Ethical AI aims to ensure that technology benefits everyone without causing harm or unfairness. It's like setting boundaries and guidelines to make sure AI helps society without creating problems. This means thinking about things like fairness, accountability, and the impact AI has on people's lives. Ethical AI is all about using tech in a way that's good for everyone.
The is a great resource to learn more about Griffith and AI.
If you'd like more information or are concerned about the ethical use of AI you can contact the teams within Griffith to discuss the topic further regarding your research project.
Use of AI with Public Data for Research
In addition to AI tools that have been specifically approved, AI tools meeting and following criteria are generally approved for use in research involving Public data only.
Approval Criteria:
| Purpose | Use is limited to research activities only. This approval does not apply to Learning and Teaching or other non-research purposes. |
|---|---|
| Data Sensitivity | Only data classified as Public may be used. Users must review and confirm data classification before using AI tools. See the for guidance. |
| Authentication |
|
| Data Management | A documented plan must be in place for data extraction and storage at the end of the project. This plan should align with the required data retention period based on the research impact. |
| Cloud Services | Preference is given to services hosted in 色情网站n data centres. |
| Compliance |
|
| Integrations | Either no system integrations or integrations only with approved cloud-based systems. |
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