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Artificial Intelligence

The intersection of AI, healthcare, cancer research, and publishing

What is ChatGPT?

I am ChatGPT, a large language model developed by OpenAI, designed to understand and respond to natural language queries and conversations. I have been trained on a vast corpus of text data, including books, articles, and websites, which allows me to answer a wide range of questions and provide helpful insights. My capabilities include language translation, answering factual questions, generating text, and even engaging in casual conversations. I strive to provide helpful and accurate responses to help users better understand the world around them.

The chatbot ChatGPT is one of a growing number of generative AI tools using natural language processing, an AI domain, to respond to user queries. As it has gained increased attention, concerns about its use in academic, scientific, and other settings have grown.

The Ethics of Generative AI

The information provided by ChatGPT is not always accurate. Learn about:

ChatGPT use can lead to AI-plagiarized writing. However, tools to detect AI-written content have been found to be unreliable.

On a larger scale, ChatGPT and other AI tools use unsustainable amounts of energy and fresh water.

Click "Website" at the bottom of the list to view all results in PubMed.

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The Use of Generative AI

There is the promise that generative AI, like ChatGPT, can cut down on the amount of time it takes to complete a review. But you have to know the strengths and limitations of the tool you are using.

  • AI can be helpful for generating ideas that you vet and adapt. For example, ChatGPT might be beneficial to inform your research question and help you brainstorm inclusion and exclusion criteria and what terms you want in your search strategy.
  • If you ask AI a question with bias, the response will likely also contain that bias.
  • AI cannot build a systematic search strategy. It may recommend articles that do not exist, and may also only include information from a limited date range.
  • Using generative AI tools requires human skill and time to review the information you receive (information that will likely not be the same if you ask the same question on a different date). Consider whether the time you spend reviewing the AI response cancels out any time you save by using generative AI.

AI can also be built into software. For example:

  • Covidence, a systematic review software used at the MSK Library, uses machine learning to sort records by relevance and classify randomized controlled trials. It is also beta testing using team-entered inclusion and exclusion criteria to auto-remove records.
  • PubMed uses AI to sort by best match and to index records.
  • Databases like Scopus and tools like Science Direct are offering generative AI tools built from their content. Be aware of what is included in these tools before you use them (20 and 10 years of publications, respectively, for these two resources) and whether their algorithms for recommendations are matching your research needs.

Before using something, explore its parameters, and be skeptical about anything that seems too good to be true or removes all human intervention from a task.

Guidelines on the Use of ChatGPT and AI

A selection of journal/publishing guidelines and policies surrounding ChatGPT and similar AI tools. This is not a comprehensive list; always read the guidelines of your journals of interest.

In addition, several publishers have entered into agreements with large language models that allow the use of their content to train generative AI tools. View a list of these agreements via Ithaka S&R.