Generative Artificial Intelligence (AI):
There are many generative AI programs that exist, each with their own strengths and weaknesses. Some of these tools are highlighted in further detail in this research guide.
Please note that, while this guide is intended for all members of the Trent community, students should always consult with their instructors regarding acceptable usage of AI in the classroom.
Depending on the citation style that you are using, there will be guidance as to how generative AI tools such as ChatGPT may be cited in your reference list. Please note that it is very likely that these citation guidelines will continue to evolve as AI becomes more advanced and its usage in academia becomes more mainstream. Thus, it is recommended that you frequently check the official publications of the citation style you will be using for the most up-to-date guidance on how to cite AI.
Below is a list of citation guides on how to cite AI tools (from Academic Skills):
If you are unsure of whether or not you're supposed to cite any content you're using, which was generated by AI, you should check in with your instructor or librarian for guidance.
The Oxford English Dictionary uses the following definition for the term "intellectual property": Property (such as patents, trademarks, and copyright material) which is the product of invention or creativity, and does not exist in a tangible, physical form.
When someone uses AI, it brings to mind the following question that many have been asking is: Who is the copyright owner of the works that are generated? In Canada, this is a question that the Federal court is being asked to determine, with regards to whether AI can be the author of a work. As more cases continue to make their way inside the courts in Canada, it is inevitable that we will eventually see clearer language regarding the authorship of works which utilize AI and how these tools will affect copyright.
The United States Copyright Office has published a guide for works containing material generated from Artificial Intelligence. In short, whether an item may be protected by copyright can be a bit murky, and depends on the amount of contribution from the human authors and from the AI tools that were utilized. One example included to illustrate this is that a graphic novel with human-authored text would have its textual components protected by copyright, but the AI-generated images themselves (the non-human component) would not be protected by copyright. While these guidelines are not necessarily applicable to Canadians, it is likely that some of these cases will be referred to, and shape the future of AI usage and intellectual property for us as well.
What this means for you:
If you require assistance, or have questions pertaining to the usage of AI in your manuscript for a work that you intend to publish, please reach out to your librarian for further assistance. You may connect with us at library@trentu.ca
When it comes to using AI, it is important to remember that varying tools will work best for completing different tasks. For instance, while spoons are great tools for eating certain types of food, you would much rather use a fork when eating spaghetti. The same logic should be applied when determining which AI tool you plan to employ during your research or writing processes.
Here are some tips for you to make the most out of using AI tools to meet your research needs:
AI Tools - Links to Standalone Platforms
As mentioned in the introductory portion of this research guide, there is an enormous array of AI tools that can be used for diverse purposes. Some of these tools are highlighted below. Please note that some of these tools cost money, while others are free to use, and some require you to sign up.
Examples of text generators include:
Examples of image generators include:
Examples of audio generators include:
Examples of research-specific generators that can help you with scholarly sources of information include:
AI Tools - Built Within Research Database Platforms
Many AI tools are now being directly integrated within research database platforms. As a Trent community member, you get access to a multitude of databases for performing research. Many of these databases, such as ProQuest One Business has a research assistant that can provide you with key takeaways, suggest other relevant resources, and potentially improve your searches by suggesting more relevant keywords. JSTOR is another database with an AI tool (currently still in beta mode) that is intended to help improve users with meeting their research needs.
When it comes to using these tools, most are built in ways such that they don't have the same shortcomings as other popular generative AI tools, which may display bias, inaccuracy issues, etc. As such, you are recommended to take advantage of these tools to improve your research, as these tools will often make the process of gathering relevant documents a more efficient process.
Generative AI's accuracy in terms of providing information largely stems from the training data that was used - enabling it to answer a multitude of complex questions (and preventing it from answering others). When you decide on an AI tool that you want to employ, you'll want to ask yourself some of the following questions:
You always have to think critically when using generative AI. Just like you can't simply rely on sources from Wikipedia as being accurate, you must also exercise caution when using ChatGPT and similar sources.
If your instructors approves the use of AI tools when conducting your academic work, you should always double-check your information and cite any informational sources that are not your own, and information that is not considered common knowledge. You should never pass on work as your own, when you are using someone else's words, even if those words are from AI generators. Unauthorized use of generative AI to write your course assignments for you puts you at risk of committing plagiarism, which could get you into academic trouble. Or, as mentioned in the "Intellectual Property" section of this research guide, using generative AI tools could even disqualify you from submitting a manuscript that you intend to publish.
Please take a moment to familiarize yourself with the academic integrity policy for undergraduate students and the academic integrity policy for graduate students. Both of these policies contain language pertaining to the usage of AI generators in your coursework.
AI models are trained on a variety of sources, but many of these websites where information is obtained from are of varying quality and can emphasize specific viewpoints, resulting in bias in the AI's responses to inquiries. Without proper quality controls in place, there have been many known instances of generative AI tools perpetuating stereotypes, along with being racist, sexist, and homophobic. For instance, Stable Diffusion believes that the world is predominantly run by white males, women with dark skin tend to flip the most burgers and women rarely obtain high-ranking positions such as doctors, lawyers, or judges. Even when there are attempts made to improve AI models, there are problems that result with addressing the racial bias problems that are present in many AI generators. For instance, Google's Gemini portrayed Nazis as being racially diverse, when trying to be more diverse in its image outputs.
There is much work that needs to be done in order to improve the biases in outputs of generative AI tools, and it important to be conscious of these shortcomings when you use these tools during your research endeavors.
There are many tests that have been developed to evaluate AI tools. The ROBOT Test, developed at McGill University prompts you to assess the following dimensions of AI tools: Reliability, Objectivity, Bias, Ownership and Type.
Reliability
Objective
Bias
Owner
Type
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
To cite in APA: Hervieux, S. & Wheatley, A. (2020). The ROBOT test [Evaluation tool]. The LibrAIry. https://thelibrairy.wordpress.com/2020/03/11/the-robot-test
There are also other tests that you can use to evaluate generative AI. For example, the CRAAP Test, which stands for Currency, Relevance, Authority, Accuracy and Purpose can help you determine if using a specific AI tool is appropriate for meeting your research needs.
When using most generative AI tools, your chat data is saved, and used to improve the AI model. Thus, it is important not to share any sensitive or personal information when using these platforms. Unfortunately, even if you decide not to share confidential information with AI, your information may still be getting sold or harvested by AI. For example, the New York Times claims that ChatGPT scraped data from millions of its articles and infringed its copyright. Additionally, Taylor & Francis recently sold access to their research to Microsoft AI (without the authors of these papers knowing, or being compensated for their contributions).
It is also worth repeating that Microsoft Copilot, is Trent University's only approved generative AI tool for use. Under our use agreements with Microsoft, Copilot will not keep, train, or view any data that you upload. Utilizing Copilot will ensure that your privacy is maintained, and that your data is secured from theft, corruption, and unauthorized access from parties with nefarious intentions.
The following resources from O'Reilly for Higher Education offer some excellent resources for anyone who wants to learn the basics of generative AI.