Skip to Main Content

Artificial Intelligence (AI) User Guide: Ethical and Evaluative Use

Using generative AI in ethical ways

Generative AI are tools that can assist us in our daily lives, at work or studying. Like any tool, ethical, evaluative and appropriate use is key. Review each topic to explore ethical considerations connected to generative AI.

Creatorship

Education and training experiences develop your knowledge and skills so when you finish a course, you are well equipped for employment or further study. Using generative AI to create content that you have not extended on, modified or engaged with meaningfully means you are presenting work that is not your own and no development has been made with your knowledge and skills.

 


 

Accessibility

 

While most generative AI tools are currently free, more and more are applying a cost to access tools. This creates barriers for those who are unable to afford access.

 

 


Privacy

Like other digital tools, generative AI tools collect and store data about users. Signing up to use a generative AI tool allows it to collect data on you. This user data would be used to make changes to tools to keep all engaged.

User data also has the potential to be sold or given to third parties for marketing or surveillance purposes.

 


Bias

Generative AI can potentially create biased content, based on:

  • People embedding their biases when they create content.
  • Biases in the datasets used to train the AI.
  • Generative AI creating its own biases from how it interprets the  data it has been trained on.

Academic Integrity

All staff and students at Central Regional TAFE should act with honesty, trust, fairness, respect and responsibility in their activities.

Using a generative AI to create or re-write your assessment and then submitting that work as your own, is cheating. It is the same as asking another human to do your work for you.

For more information on how to cite GAI, check out the above tab on Copyright and Referencing.


Accuracy

Generative AI won't state that it is unable to provide a correct answer. Instead, it might generate a false answer that appears to be correct, this is known as an “hallucination”.

It is often unknown where the data used to train generative AI has come from. Generative AI can't tell a user what data it drew from to generate content. So content from generative AI shouldn't be used as a credible and reliable source in an assessment.


Images used from : Computer security icons, Science areas icons, Patent idea icons, Freelance icons by macrovector on Freepik under a free for use licence.

Critically thinking about AI generated content

Imagine you're taking a test that requires you to solve mathematical questions. A calculator is a tool that would be appropriate to use, as it helps to apply mathematical equations more efficiently to answer test questions. But would it be appropriate to use a calculator when writing an essay on the French Revolution?

When people are using generative AI tools to create content, there needs to be a purpose behind using these tools. Such as generating questions to investigate a particular topic.

Then critical thinking and evaluation needs to be applied to the content that is produced. Consider the following:

  • Question the content that has been generated.
  • How are you going to verify/fact check the information that generative AI has created?
  • Use an evaluation method, such as the Dependability Checklist from Deakin University or the four-step SIFT method.
  • Apply what has been generated to further inspire your own pursuit of knowledge and creativity.

Approaching coursework: appropriateness, attribution and acknowledgement

Always check with your Lecturer about whether you are permitted to use generative AI in your assessments.  

Attribution and acknowledgement are critical to the ethical use of generative AI in your assessments. If you are using a tool that generates some elements of your work, the person that marks it needs to know what's yours and what comes from somewhere else.  

  • Check out the above tab Copyright and Referencing for more information on how to reference generative AI.
  • For further attribution and acknowledgement help, ask library staff

Key considerations

Suggested checklist of what to consider when using and creating with generative AI:

Ethical and creative use of generative AI should cover all these elements. If you need more guidance around using generative AI in your assessments - speak with your lecturer.