You have probably been bombarded by nerve-racking and disturbing news of how artificial intelligence is going to surpass human intelligence and will soon “steal” almost every job on the planet, which would render people completely useless. Also, it is going to pave the way for the antichrist and eventually take over the world! Most of these rumors are mostly pedaled by misinformed people or people with malicious intent to create fear and disrupt social order in an effort to impede the development of artificial intelligence.
What true, and what’s not
Whatever the reasons are for such jaw-dropping sentimental statements, it is sometimes very difficult to tell the difference between a factual statement and what is unreal. This is exactly what this article is written for – To fix this problem and give you a true ideology of what AI actually is. Having said this, let’s dig in and discuss 5 mind-numbing myths about artificial intelligence you need to know.
#1 Artificial intelligence is smarter than human beings: AI beat the world’s best chess players
It is no longer news of how AI taught itself how to play chess in less than four hours and was able to beat the world’s best chess and Go players. When news of this event was broadcasted, many people were surprised, so it enjoyed a lot of media coverage in 1997 and beyond. The AI was only given the rules of the games of chess, Go and shogi and then used this data effectively, which end up showing impressive results that convinced lots of people to think that AI is smarter than humans.
Unarguably, this is a huge breakthrough. But this does not mean that AI is actually smarter than humans. What most people do not realize about AI is its ability to learn unlimited patterns. All it is great at doing is just matching patterns, meaning the algorithm of the AI will calculate the possible number of outcomes of an event and based on probability and use that to determine the best action to take. This feat was programmed by developers. That is why AI can accomplish many impressive feats in the area of pattern analysis and autonomous robotics.
This is also applicable to the Eliza effect, where it responded to the statements that people typed in a similar way a psychotherapist would. But the truth is, people who heard or interacted with AI often ascribe emotional intelligence and empathy to the computer responses that are based on simple programming logic. So, it is based on a false perception of what the machine is doing.
#2 “Cognitive AI” has the ability to solve new problems just the way humans do
Nobody can argue with the fact that AI can solve very complex problems that most humans can, especially in the field of advanced math and sciences. These complex problems are known and programmed. But does it have the ability to solve new problems just the way every human could do? The answer is a hard NO. Not even with “Cognitive AI”. And in case you’re wondering about the type of problems AI is good at solving, here are three types of result it delivers
- Acceleration of results
- Alleviation of repetitive work
- Accuracy of results
From what you have read, it is obvious that AI must be familiar with the problem before it can solve it at a breathtaking pace that is obviously superhuman.
#3 Artificial intelligence is inaccessible to small business users because huge budget and experts in the field is needed
It is factual to say that AI technology requires sophisticated techniques. As well as deep expertise in programming languages such as C++ or Python. However, this does not mean that it is not accessible to businesses, especially small enterprises with limited resources at their disposal. The fact is, there are many software tools that use AI which is accessible to business users.
#4 Artificial intelligence applications are about machine learning code
It is not uncommon for people to equate machine learning code to AI applications. This is mainly fueled by recent advances in machine learning. But ML is only a part of a whole larger system. One that comprises of a lot of things, such as analysis tools, machine resource management, serving infrastructure, and monitoring. What this means is that it does not start or end with ML. First, the data has to be sensed or measured. And then it is aggregated before preprocessing. The whole process is way more cumbersome than ML that most people perceived it to be.
#5 AI cannot be creative
Creativity, a phenomenon where something that is valuable and new is being formed. This is more often than not attributed to human unique abilities among other species. But this does not mean that artificial intelligence cannot be creative, i.e., form something new and very valuable. AI does not only draw their knowledge from their training data or experiences. But also combine different sources of data to create something new. So, it would be a mistake to consider it as an exclusive human privilege.
It’s obvious that artificial intelligence is not the same as what many people perceive it to be. This is due to the enormous number of misconceptions that affect every aspect of the fascinating concept. And it’ll be a misconception if all that comes to mind are scenes of android killers and computers-gone-rogue. That being said, AI is way more complex than ML and accessible to everybody. Also, it cannot solve new problems but can be creative.