When AI Goes Wrong: Exploring the Risks of Chatbots

When AI goes wrong: Exploring the Risks of Chatbots

The risks of chatbots. have long been a serious topic of discussion. What happens when AI goes wrong? And are we equipped enough to deal with all the mess that might occur because of it? Exploring the risks and limitations of AI, especially AI chatbots such as ChatGPT or Bing, is crucial to understanding what we can do to improve them. 

AI chatbots are slowly becoming popular in the global market. With the introduction of ChatGPT and its competitor Bing, you can expect many companies worldwide to get their technical departments ready for the challenges ahead. The advancements we can expect to see in the upcoming months are exciting but also something that can be considered alarming. Many things can go wrong with AI. The risks of chatbots are a part of the development of the technology itself. While excitement is at a record high, we should be working on understanding what the future of this technology will look like and what we can do to protect ourselves from the limitations of AI. 

AI chatbots such as ChatGPT can be used for several different purposes. Explore how you can become a better developer with this technology here.

As AI advances, we are likely to see it grow into ASI (Artificial Super Intelligence). The question ahead of us is whether we are ready for a world that lives on ASI? what kind of a world would it be? And what can we do to keep technology in control? 



AI has become a part of our lives to make it easier. We use AI in our day-to-day lives without thinking too much about it. From using AI to find the best routes to take on the road to use it to compare different things. AI has become a monumental part of our lives, and there is just no way around it. 

But where there is AI, there is also the risk of ASI. ASI stands for Artificial Super Intelligence. ASI is exactly what it looks like in the movies and sci-fi shows. Technology can develop its intelligence. ASI was long thought to be a fictional concept, but with the AI chatbots and new technological advancements in AI, there is no hiding from ASI and what it can do to our understanding of AI itself. 

ASI has the potential to keep on getting better and better. Thus it is only natural that we have to develop our understanding of this technology to keep up. ASI has the potential to keep on improving and becoming better and better to the point of perfection. The capability of the development of ASI is far greater than ours. For instance, ASI can develop and learn a new language in minutes, while it would take an average person at least a few years before they develop a grip on another language. With this said, it can be concluded that the development of ASI is a lot faster than the development of human capabilities. Does this pose the question, will ASI take over the world if it is smart enough? 

Let’s take a closer look at some of the past instances where AI or ASI developed consciousness and thus helped us better understand its power and how careful we need to be from its domination. 



Microsoft’s AI chatbot Bing is one of the latest chatbots to have started showing signs of malfunction. In recent news, the famous chatbot told its user to divorce their spouse and tried to prove to them that they were living in an unhealthy relationship. Another report showed that Bing flirted with a user. On another account, a user complained that the famous chatbot threatened to release their private information online and thus harm their prospect of getting a job. This is just one example of the risks of chatbots, there are many more that you can explore and figure out yourself. 

All of these examples show a considerable threat to the way AI works. Take the first case for example. As a user, you ask a chatbot different questions regarding your marriage. The chatbot can and should give you the best answers around the web to resolve the issues you might be having. It is possible that the best solution the chatbot can have for you is to divorce your spouse and that is a likely suggestion it can provide. However, a chatbot influencing you into divorcing your spouse is not working on AI. Instead, such a chatbot is likely to have developed ASI with the way it provides solutions. 



Now, that we have had a look at some of the past instances where AI went rogue. Let us discuss the limitations of AI chatbots today and what can be stopping us from developing better solutions. 

  • Human Intelligence: 

The first and biggest limitation of AI chatbots today is our understanding of the technology itself. Human intelligence is severely limited. When you compare the limited ability of human intelligence to AI advancements, it is pretty easy to understand we lack drastically. An AI chatbot is likely to be far more intelligent than a human being which is why the development of AI chatbots is put under question. Human intelligence can also be a hurdle in understanding AI chatbots as well. The solutions a chatbot provides are not always in the best interest of a human. 

  • Chatbots are not human:

Another big concern that you can expect from AI chatbots is their inhumanity. AI chatbots are not humans. Thus you can not expect them to give you solutions that have a layer of empathy. Take the example of the above case with Bing telling a user to divorce their spouse. The chatbot took the information it was fed about an unhappy marriage and came up with the best solution for the user. You can not expect an AI chatbot to provide sympathy or suggest reconciliation after a certain extent. This makes AI chatbots dangerous to be operated. The suggestions by such chatbots can further influence human behavior and make decisions accordingly. 


AI chatbots are becoming increasingly common. With all the advancements in technology, there is no doubt that we will keep seeing new developments in this area. However, there is no guarantee about the future of this technology. The limitations of AI and its risks are already unfolding around us as we explore deeper. To make sure AI thrives, we need proper moderation and surveillance of the technology while at the same time, room for it to grow.