周末即将迎来小满节气
随着初夏正式来临
我们的常规赛季也展开下半场的争夺
首先，在这里预祝
所有参与明天上海赛的同学们
取得自己理想中的成绩！
同时我们要看到
随着比赛的深入进行
我们需要在对AI有更加深入的理解
今天我们就结合当下热门的AI发展方向
为大家奉上新鲜出炉的辩题解析！
希望可以对大家准备接下来的比赛有所帮助~
Current Applications,
Benefits, and Harms of AI
人工智能的当前应用、好处与危害
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.
随着人工智能继续快速发展并渗透到我们生活的各个方面，了解这一变革性技术对社会的影响变得越来越重要。从精简产业到创造新的道德困境，人工智能的多面性呈现出迷人的、有时令人困惑的景观。
生成式人工智能
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.
其一，我们可以谈一谈ChatGPT。ChatGPT越来越受欢迎，它能够在几秒钟内对深层次的、细微的问题产生回应。这篇文章的介绍，实际上是由ChatGPT写的。这样做的意义是巨大的，因为我们现在可以花更少的时间来写代码，卡在问题上，等等。然而，ChatGPT经常是错误的，而且是自信的。很多ChatGPT会声称是事实的事情，但却公然不是事实，虽然如果你问ChatGPT会认识到这一点，但如果你没有意识到这个错误，你可能会认为不真实的东西是真的。
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.
此外，像ChatGPT这样的应用程序只是有限的。例如，要求ChatGPT画一个圆，导致使用字母来尝试，只能画一个六边形。在这种情况下，重点不是，"ChatGPT很烂，人工智能还没到那一步。"；而是，"ChatGPT有非常具体的用例，其他人工智能可以做其他任务，比如画圆。"
这里需要注意三点。一，聊天机器人的数量是非常多样化的，比如很多人在给定提示后生成照片，或故事，或诗歌，并且非常擅长他们的工作。二，这是专门的人工智能的定义--也就是说，我们还没有通用的人工智能。第三，为了知道如何使用人工智能并利用其好处，我们需要知道使用哪种人工智能以及何时使用，这种技能在未来几年将变得越来越有用。
Healthcare
医疗与保健
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.
另一个有趣的应用是在医疗保健领域，人工智能正在彻底改变诊断方法、药物发现和个性化医疗。先进的算法现在能够以令人印象深刻的准确性分析医学成像数据，帮助医生在早期阶段检测出癌症和各种神经系统疾病等疾病。此外，人工智能驱动的平台正在加速药物发现过程，识别有前途的化合物，甚至设计用于临床试验的新型分子，大大减少了与传统研究方法相关的时间和成本。这段话，其实是由ChatGPT写的。如果我不告诉你，你会知道吗？
让我们来谈一谈医疗保健，特别是人工智能。医疗保健是至关重要的，从字面上看。没有它，数以百万计的人将容易死亡。医疗保健系统能够通过使用各种技术来拯救他们的生命。这里有三个人工智能的具体应用，特别有趣。
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。
还有三，远程医疗和远程监控。随着人工智能和先进传感器技术的出现，医疗保健专业人员现在可以从远处监测病人的生命体征、慢性病和整体健康状况。这使得及时发现潜在的健康风险，及时干预，并进行个性化的护理管理。由人工智能驱动的远程医疗平台还可以促进虚拟咨询，使医疗服务提供者能够为偏远地区的患者或那些与专家接触有限的患者提供专家建议。
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
关于AI的三点启示
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.
第一，人工智能会犯错，经常会犯错。当问ChatGPT某些问题时，它可能会答对一半，而另一半是错的。这是作为人类必须警惕的事情。
二，人工智能可以使我们的生活更有效率。通过医疗保健或ChatGPT或任何其他应用，人工智能可以在几秒钟内完成我们可能需要几小时或几天才能完成的事情。这加快了我们的生活，同时不会造成重大伤害。
三，人工智能可以帮助做决定，但不会强迫他们以某种方式做决定。具体来说，人工智能可以根据它认为的真实情况给出建议，但不会强迫事情以某种方式进行，至少现在不会。
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.
I, ROBOT
Isaac Asimov
The stories centre on problems that arise from the ethical programmingsummed up in Asimov’s famed Three Laws of Robotics:
- A robot may not injure a human being or, through inaction, allow a human being to come to harm.
- A robot must obey the orders given it by human beings except where such orders would conflict with the First Law.
- 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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