Current Applications, 

Benefits, and Harms of AI


As AI continues to rapidly advance and permeate various aspects of our lives, it becomes increasingly important to understand the impact of this transformative technology on society. From streamlining industries to creating new ethical dilemmas, AI's multifaceted nature presents a fascinating and sometimes perplexing landscape.

There are many areas of life where AI has large-scale applications.




春季辩题解析 | 人工智能的当前应用、优势与危害

For one, we can talk about ChatGPT. ChatGPT is increasingly popular, and is able to generate responses to deep, nuanced questions within seconds. The introduction of this article, in fact, was written by ChatGPT. The implications of this are immense, as we can now spend less time writing code, being stuck on problems, and many more. Yet, ChatGPT is often wrong, and confidently so. Many things that ChatGPT will claim as fact are blatantly not true, and while ChatGPT will recognize this if you ask it, if you don’t realize the error, you might think that something that is not true, is true.


Further, applications like ChatGPT are just limited. For example, asking ChatGPT to draw a circle leads to using letters to try, only to draw a hexagon. In this case, the point is not, “ChatGPT sucks and AI is not there yet.”; rather, it’s, “ChatGPT has very specific use cases, and other AI can do the other tasks, such as drawing a circle.” 

Note three things here. One, the amount of chatbots is extremely diverse, such as many which generate photos given a prompt, or stories, or poetry, and are extremely good at what they do. Two, this is the definition of specialized AI – i.e., we do not yet have a general artificial intelligence. And three, in order to know how to use AI and leverage its benefits, we need to know which AI to use and when, a skill that will become increasingly useful over the next few years.





Another interesting application is in the field of healthcare, where AI is revolutionizing diagnostics, drug discovery, and personalized medicine. Advanced algorithms are now capable of analyzing medical imaging data with impressive accuracy, aiding physicians in detecting diseases like cancer and various neurological disorders at earlier stages. Moreover, AI-driven platforms are accelerating the drug discovery process, identifying promising compounds and even designing novel molecules for clinical trials, significantly reducing the time and cost associated with traditional research methods. This paragraph was, in fact, written by ChatGPT. If I had not told you, would you have known?

Let’s talk a little bit about healthcare, and AI specifically. Healthcare is vital, literally. Without it, millions of people would be vulnerable to dying. The healthcare system is able to save their lives with the use of various technologies. There are three specific applications of AI here that are especially interesting.



First, MRIs. MRI machines require a person to go through a huge metal tube, and when they come out, doctors basically have a 3D view of their body. This was huge when invented, and even huger now that AI is becoming widespread. Why? Because doctors are human and make mistakes. They often do not recognize certain patterns in MRI scans as “bad” or “dangerous” or “terminal cancer”. An AI might be able to.

Two, EHRs (electronic health records). EHRs store patient data, well, electronically as the name implies. By having the health record of patients, an AI might be able to look at certain patients and say, “this person is at risk of cancer” or something along those lines. While a doctor could also do this, the AI can do so much faster.

And three, telemedicine and remote monitoring. With the advent of AI and advanced sensor technology, healthcare professionals can now monitor patients' vital signs, chronic conditions, and overall well-being from a distance. This enables the timely identification of potential health risks, prompt intervention, and personalized care management. AI-powered telemedicine platforms can also facilitate virtual consultations, enabling healthcare providers to offer expert advice to patients in remote areas or those with limited access to specialists.

首先,核磁共振成像。核磁共振仪需要一个人通过一个巨大的金属管,当他们出来时,医生基本上可以看到他们身体的三维视图。这在发明的时候是非常大的,现在人工智能变得广泛,就更大了。为什么呢?因为医生是人,会犯错误。他们往往不能将核磁共振扫描中的某些模式识别为 "坏 "或 "危险 "或 "癌症晚期"。人工智能也许能做到。

二,EHRs(电子健康记录)。EHRs存储病人数据,嗯,顾名思义,是电子化的。通过拥有病人的健康记录,人工智能可能会看一下某些病人,然后说,"这个人有患癌症的风险 "或类似的东西。虽然医生也可以做到这一点,但人工智能可以做得更快。


Obviously, the AI might be wrong in any of these aspects, which is why doctors still exist. Doctors are needed to intervene if something goes wrong. While AI can make doctors more efficient, this is absolutely not an excuse to only use AI in healthcare. Doctors are still critical.

 Three Takeaways about AI


These are just two applications of AI. What can we take away? Three takeaways stand out.

One, AI will make mistakes, OFTEN. When asking ChatGPT certain questions, it might get half right, and the other half wrong. This is something that as humans we have to be wary of.

Two, AI can make our lives more efficient. Through healthcare or ChatGPT or any of the other applications, AI can do things in seconds that we might need hours or days to do. This speeds up our lives while not doing major harm.

Three, AI can help make decisions, but not force them to be made a certain way. Specifically, AI can give recommendations based on what it thinks is true, but won’t force things to be done in certain ways, at least not for now.




If you have read Isaac Asimov’s I, Robot, there were three laws of robotics, one of which is, a robot ought never to hurt a human. While certainly a prediction, as AI advances, we might get similar laws regulating what AI can and cannot do, especially because it is very obviously influencing the things we do, despite its novelty.


Isaac Asimov

The stories centre on problems that arise from the ethical programmingsummed up in Asimov’s famed Three Laws of Robotics:

  1. A robot may not injure a human being or, through inaction, allow a human being to come to harm.
  2. A robot must obey the orders given it by human beings except where such orders would conflict with the First Law.
  3. A robot must protect its own existence as long as such protection does not conflict with the First and Second Laws.




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