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Artificial Intelligence

guide to artificial intelligence (AI)

Ethics of AI

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 a “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. Content from generative AI typically requires one to utilize additional fact-checking of the information to verify it.

Further Reading:  ChatGPT and Fake Citations

 
 
 
 
 
 

Creatorship

Education and training experiences develop your knowledge and skills so when you finish a course, you are well equipped for employment or further academic study or research.

AI is a useful tool, but it is not intended to replace creatorship.

Using AI to create content only, removes you from certain benefits of the educational experience. 

But, using AI tools with the goal of extending upon and engaging with information meaningfully, can help you develop your knowledge and skills.

Academic Integrity

Students are encouraged and expected to act with honesty, trust, fairness, respect and responsibility in their activities whenever they are using AI for academic assignments.

 For example, getting a generative AI to create or re-write your assessment and then submitting that work as your own, without indicating you are using generative AI or getting permission, is not good practice.  Make sure your always cite AI as a source,and consult the syllabi statement for your course to see if AI is permitted for any assignment work,  You might consider AI as similar to using a calculator in class; sometimes it may be useful and beneficial, but other times you will need to leave the calculator at home, or not use it at all, to demonstrate your own non-machine-aided knowledge of a concept. AI can be a useful teaching and learning tool, in the proper context.

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

 
 
 
 
 
 
 

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.

Privacy

Like other digital tools, generative AI tools collect and store data about users. Signing up to use generative AI tools allows them to collect data on you. This 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.

 
 
 
 
 

Accessibility

While most generative AI tools are free right now, more and more are applying a cost to access tools.

This has the potential to create barriers for those who are unable to afford access.

 

This guide is licensed and shared under a Creative Commons CC BY NC 4.0 license, the terms of which include the right to reuse, remix and share.. This guide was adapted from a Central Regional Training and Workforce Development Library guide, also licensed and shared under the Creative Commons license, CC BY NC 4.0, The Central Regional Training and Workforce Development Library guide was adapted and shared from a Deakin U. guide, also under a Creative Commons License CC-BY NC 4.0  Icons  by macrovector on Freepik 

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