Have you ever found yourself frustrated by a computer's seemingly illogical behavior? Perhaps it failed to complete a task that seemed simple, or made an error that even a child could have avoided. As we rely on computers more and more in our daily lives, it's natural to wonder: can they ever truly learn common sense? In this blog post, we'll explore the fascinating world of artificial intelligence and investigate whether machines are capable of understanding the nuances of human experience. Join us as we delve into the cutting edge research and discuss what it might mean for our future with technology.
What is common sense?
In general, common sense is defined as good judgment and the ability to think and act in a reasonable way. The term can also be used to describe a basic understanding of certain concepts or ideas. For example, it’s common sense to know that fire is hot and that driving without a seatbelt is dangerous.
Some people argue that common sense isn’t something that can be taught, but is instead something that is learned through experience. Others believe that common sense is something that can be learned, but that it isn’t always easy to teach. For example, some parents might try to instill common sense in their children by telling them stories about what happened when someone didn’t use good judgment.
There are a variety of ways to define common sense, but at its core, it generally refers to the ability to think and act in a reasonable way. It’s important to use common sense in everyday life, as it can help you make better decisions and avoid dangerous situations.
What are the limitations of AI?
There is no doubt that artificial intelligence (AI) has revolutionized many industries and aspects of our lives. However, there are also several limitations to AI that are important to consider.
One major limitation of AI is that it relies heavily on data. In order for an AI system to function properly, it needs a large amount of data to learn from. This can be a problem in situations where data is not readily available or is difficult to obtain.
Another limitation of AI is its ability to handle only limited types of tasks. AI systems are typically designed to tackle specific problems or perform specific tasks. They are not generally capable of handling more complex tasks that require human-like flexibility and reasoning.
Finally, AI systems can sometimes be opaque and inscrutable. Even the developers of an AI system may not be able fully understand how it works or why it makes the decisions it does. This lack of transparency can make it difficult to trust and rely on AI systems.
Can computers learn common sense?
Computers are becoming increasingly good at understanding and responding to the complexities of the world around them, but they still lack the common sense of humans. Can they be taught to learn common sense?
It has been argued that computers can never really understand the world in the same way that humans do because they lack common sense. Common sense is defined as “the basic level of practical knowledge and judgement that we all need to help us live in the world”. It is what allows us to make everyday decisions and solve problems without having to think too much about them.
For example, if you ask a computer to tell you the capital of Australia, it will quickly give you the answer: Canberra. But if you ask it how many Australian states there are, it will have to pause and think for a while before giving you an answer, because it doesn’t know that there are only six states in Australia (and two territories). To a human, this is common knowledge, but to a computer it is not.
This lack of common sense presents a challenge for artificial intelligence (AI) researchers who want to create systems that can think and act more like humans. One approach is to try and explicitly teach computers common sense. This is difficult, because common sense is often implicit and hard to formalise.
However, some progress has been made. In 2018, Google released an AI system called " Tensor Flow" Commonsense Reasoning Challenge
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