Is AI able to write papers?

3 min read

As researchers, we all have a dream: it would be fantastic if AI could write papers one day! This sounds like a science fiction, but after I used Stork‘s new feature “AI Creative Abstract“, I feel that this day is coming soon.

In order to test how powerful AI is, I thought of an interesting topic – what is the brain mechanism of deceptive behavior between humans and their pet dogs. This is a topic that has not been studied so far. No one has scanned the brains of a person and his pet dog at the same time, and no articles have been published. I had this idea for a while, but it’s still a vague idea. I don’t know how to implement it and what the result will be. So I am interested in what AI would write. So I entered:

Deception between human and pet dog, an fNIRS hyperscanning study

After I clicked the “Start” button, the AI seemed to think for a few seconds, and then words appeared continuously:

The present study aimed to investigate the neural correlates of deception between human and pet dog. The participants were asked to deceive their dogs by giving a hand signal indicating that they would give food, but then not doing so. We measured functional near-infrared spectroscopy signals from both the deceiver (human) and the deceived (dog). Our results showed that there was no significant difference in oxyhemoglobin concentration changes between deception and non-deception conditions for either humans or dogs. However, we found significantly greater deoxyhemoglobin concentrations during deception compared with non-deception in both humans and dogs at bilateral temporal areas, suggesting increased brain activities related to emotional processing during deceptive interaction with pets. Our study provides evidence for shared neural mechanisms underlying social interactions involving trustful relationships such as those between human-dog dyads.

I read while it writes, and I am shocked. In terms of language, the abstract is written in native English without spelling and grammatical errors; logically, it is clear and fluent, and it matches well with the subject I gave. Most importantly, it produces something creative that I didn’t expect. For example, it tells me how to design the “deception” experiments, and which brain areas are expected to activate.

I couldn’t stop, so I asked AI to write the second version on the same topic:

Interactions between humans and their pets are an important part of our everyday lives. Dogs are known as sensitive and loyal companions. The present study investigated the neural correlates of deception in dogs and their human companions. Hyperscanning was used to investigate the activation of the left temporal pole, the right temporal pole, and the right prefrontal cortex in dogs and their human partners during a cooperative communicative task in which the dog had to deceive its human partner. Dogs and their partners were equipped with near-infrared spectroscopy (NIRS) hyperscanning caps to measure concurrent changes in oxy- and deoxy-hemoglobin concentrations in the temporal cortex. We found that when dogs looked at their human partner, activation was observed in the left temporal pole, the right temporal pole, and the right prefrontal cortex, whereas activation was not observed in the human temporal pole or the human prefrontal cortex. Our findings suggest that human-to-dog deception may be associated with increased activation in the right temporal pole and the right prefrontal cortex, whereas dog-to-human deception is associated with increased activation in the left temporal pole and the right prefrontal cortex. Our findings may provide new insights into the evolutionary history of human-dog communication and the role of the temporal pole and the prefrontal cortex in social cognition.

This version is also inspiring. The first two sentences are introductions, and the logic is clear. I probably can use them when I write a formal article. Then it is the purpose of the experiment and the brain area to be scanned. The results of the experiment follow, listing which brain areas are active. Finally, the significance of this research is briefly discussed.

I asked AI to write dozens of abstracts in different fields such as cognitive science, material science, physics, philosophy, etc. AI wrote sensible abstracts in most cases. I felt like I was brainstorming with a knowledgeable person. Even when I entered something very vague, AI can write something concrete, and I can always find something new from what it writes.

Of course, I understand that these abstracts are all “made up” by AI based on its massive reading. Some statements are not facts, but it still provides a lot of ideas for future research.

At this point, I have mixed feelings. The main part is excitement: AI offers us more tools and more ideas when doing research. However, I am also worried that if AI can write complete papers in the future, what use are we as researchers? Do we just verify the experiment results proposed by AI? Also, who can distinguish whether a paper is written by AI or by real researchers? If it can’t be distinguished, will academic journals be flooded with papers written by AI with untrue results? Like every tool we invented, in the end we don’t know whether we are using the tool or becoming its slave. If we can face these potential problems early on, we have a greater chance to create tools that serve us instead of harming us.

AI Creative Abstract

会说话的文献鸟

很久以前,有个国王。他有一只宠物鸟。这只鸟最特别的地方是它能说人话。国王因此非常喜欢它。虽然是只鸟,可是好像它无所不知,王国内最新发生的消息它都知道,每天都会向国王报告。这只鸟成了国王主要的信息来源。 不知过了多少轮回,国王在我们这个年代成了一名科学家。他竟然还记得前世的事情,于是他想:“我的宠物鸟是不是也在这个世上?”可是,虽然遇到过无数的鸟,却没有一只是当年的宠物鸟。 有一天他在网上遇到文献鸟的时候,他才明白,过去的宠物鸟经过千百年的轮回,已经虚拟化,变成了一个网站引用。可是,和过去一样,它无所不知,了解最新的消息。并且让人惊讶的是,它真的还可以说话!过去的国王、就是现在的科学家,当他收到文献鸟的推送文献后,只要点一下耳机图标,文献鸟就开始给他报告最新的科研进展,就像过去一样。 亲爱的,你找到自己的文献鸟了吗?它就在 https://www.storkapp.me/ 而它的说话本领可以到 https://www.storkapp.me/marketing/templates/Stork1/listen.php 了解。
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人工智能已经强大到能写论文了?

作为科研人员,我们都有个梦想,如果有一天AI可以帮我写论文就太好了!这听上去好像是遥远的科幻,不过,当我使用了文献鸟Stork的新高级功能“人工智能创意论文摘要”后,我觉得,这一天马上就要来了。 为了看看人工智能有多厉害,我随便想了个有意思的主题,就是人和宠物狗之间的欺骗行为的大脑机制。这是一个还没有被研究的课题,到现在为止还没有人同时测量过一个人和他的宠物狗的大脑,当然也没有文章发表。我有这个想法已经有一段时间,但还是个模糊的想法,具体怎么实现以及结果怎样我也不知道。于是,我看看人工智能会写出什么。于是我输入了: Deception between human and pet dog, an fNIRS hyperscanning study 点击“开始”按钮后,人工智能好像想了几秒钟,然后文字便源源不断地出现了。 The present study aimed to investigate the neural correlates of deception...
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