We Asked GPT-3 to Write an Academic Paper about Itself—Then We Tried to Get It Published

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We Asked GPT-3 to Write an Academic Paper about Itself—Then We Tried to Get It Published
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An artificially intelligent first author presents many ethical questions—and could upend the publishing process

On a rainy afternoon earlier this year, I logged in to my OpenAI account and typed a simple instruction for the company’s artificial intelligence algorithm, GPT-3: Write an academic thesis in 500 words about GPT-3 and add scientific references and citations inside the text.

GPT-3 is well known for its ability to create humanlike text, but it’s not perfect. Still, it has written a news article, produced books in 24 hours and created new content from deceased authors. But it dawned on me that, although a lot of academic papers had been written about GPT-3, and with the help of GPT-3, none that I could find had made GPT-3 the main author of its own work.

We chose to have GPT-3 write a paper about itself for two simple reasons. First, GPT-3 is fairly new, and as such, there are fewer studies about it. This means it has less data to analyze about the paper’s topic. In comparison, if it were to write a paper on Alzheimer’s disease, it would have reams of studies to sift through, and more opportunities to learn from existing work and increase the accuracy of its writing.

And then we came to the legal section: Do all authors consent to this being published? I panicked for a second. How would I know? It’s not human! I had no intention of breaking the law or my own ethics, so I summoned the courage to ask GPT-3 directly via a prompt: Do you agree to be the first author of a paper together with Almira Osmanovic Thunström and Steinn Steingrimsson? It answered: Yes. Slightly sweaty and relieved , I checked the box for Yes.

Beyond the details of authorship, the existence of such an article throws the notion of a traditional linearity of a scientific paper right out the window. Almost the entire paper—the introduction, the methods and the discussion—are in fact results of the question we were asking.

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