Generative AI and Copilot: Risks of Gen AI

In this module, you will:

Understand the limitations of generative AI in regard to:

• Algorithmic assumptions
• Hallucinations
• Biases in training data

Understand the ethical risks of using generative AI:

• Privacy
• Environmental impact
• Worker Exploitation
• Copyright

When you finish the module, you will be able to:

• Use generative AI responsibly to identify bias and inaccuracies
• Engineer your prompts to minimise bias and inaccuracies
• Assess the credibility of output via the CRAAP Test
• Outline the ethical and privacy risks of using generative AI, and make informed choices on using the services and tools responsibly

What’s in this module?

1. Limitations and Biases 
2. Privacy risks 
3. Environmental & Societal risks
4. Copyright (and You)

 

If you would like to reuse any of our work, please attribute us under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

We’re taking a collaborative approach to how we manage the use of gen AI and would like to hear your thoughts, concerns and questions. This will help us develop the right information and support for you.

Let us know what you think about this issue via this email: library@ecu.edu.au

 

This page last updated 12 February 2025