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Artificial Intelligence

Accuracy

Generative AI tools like ChatGPT are able to produce a lot of different content, from quick answers to a question to cover letters, poems, short stories, outlines, to complete essays and reports. However, the content created should be carefully checked, as it may contain errors, false claims, or plausible sounding, but completely incorrect or nonsensical answers.

Generative AI can also be used to create fake images or videos so well that they are increasingly difficult to detect, so be careful which images and videos you trust, as they may have been created to spread disinformation.

Check out the question posed to ChatGPT below. The answer provided isn't entirely correct as it forgot to include Vietnam and Venezuela.

 

 

In another question, when asked to find 3 academic articles on the impact of climate change on the economy in Canada, none of the articles actually exist. This is sometimes referred to as AI Hallucination.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Bias

Generative AI relies on the information it finds on the internet to create new output. As information is often biased, the newly generated content may contain a similar kind of bias. Example of potential bias include gender-bias, racial bias, cultural bias, political bias, religious bias, and so on.  Scrutinize AI generated content closely for inherent biases.  

 

Comprehensiveness

AI content may be selective as it depends on the algorithm which it uses to create the responses, and although it accesses a huge amount of information found on the internet, it may not be able to access subscription based information that is secured behind firewalls. 

Content may also lack depth, be vague rather than specific, and it may be full of clichés, repetitions, and even contradictions

Currency

AI tools may not always use the most current information in the content they create. In some disciplines it is crucial to have the most recent and updated information available. Think, for example, about the recent pandemic. Research was going at a very fast pace and it was important to have not only the most comprehensive and most reliable data available, but also the most recent. Technology is another area that is constantly changing, and information that is valid one year, may not be valid the next. There are many other examples, and it is important that you check the publication dates for any sources of information that are used in AI-generated texts. 

Sources

Generative AI tools don't always include citations to the sources of information. It is also known to create citations which are incorrect and to simply make up citations to non-existent sources (sometimes referred to as AI Hallucination). 

Not crediting sources of information used and creating fake citations are both cases of plagiarism, and therefore breaches of Academic Integrity

Copyright

Generative AI tools rely on what they can find in their vast knowledge repository to create new work, and a new work may infringe on copyright if it uses copyrighted work for the new creation.

For example, there have been several lawsuits against tech companies that use images found on the internet to program their AI tools. One such lawsuit in the United States is by Getty Images which accuses Stable Diffusion of using millions of pictures from Getty's library to train its AI tool. They are claiming damages of US $1.8 trillion.

There is much debate about the ownership of copyright to a product that was created by AI. Is it the person who wrote the code for the AI tool, the person who came up with the prompt, or is it the AI-tool itself? Although currently in Canada, AI-generated works are not copyright protected, this may change in the future.  Also note that laws in other countries may differ from that in Canada. 

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