One of the most trending topics in the Science and Technology industry is undoubtedly Artificial Intelligence and Machine Learning. Who wouldn’t be fascinated by the concept of creating a brain from scratch, that’ll be as intelligent as the human brains someday? The fifth Industrial Revolution has begun, and it’s only a matter of time when a large number of AI applications sleaze their way into our lifestyle.
But, with an increased hype and expectations come a large number of factual inaccuracies and a larger number of myths that float in the air like oxygen. Here are the most common myths of Artificial Intelligence busted, so that you don’t unintentionally contribute to the spread of wrong knowledge or facts.
Myth #1: AI Will Take Away Your Job
As far as there’s a certain amount of possibility that the introduction of Artificial Intelligence into businesses, companies, etc., could disrupt labor, what we fail to understand is the fact that it would also create new kinds of labor and jobs for humans. But, a direct transformation from humans to machines is an extremely absurd over-simplification. Every industrial revolution aims to bring forth a newer technology, newer concepts, and methods that would lead to a transformation of the employment landscape. Employers with a vision to incorporate AI into their companies at the moment are primarily focused to augment workforces in a newer and smarter way. Automation will not only promise to make an economy productive but also allow employees to spend more time on income-generating and productive pursuits.
Myth #2: Cognitive AI Has Human Brain Abilities
Truth be told, cognitive technologies can address problems that involve human interpretation and judgment, which standard AI approaches cannot solve. However, these technologies are restricted to solving problems they’ve been designed to solve, beyond this parameter, they’d fail to perform.
If the system needs to figure out the meaning of a word from a particular context, for example, “ring.” There’s a ring you wear on your fingers, and there’s a ring you would use to describe while calling someone. Now, with the help of a set of ontologies, the system will be able to interpret the correct meaning of the word by using contextual, sentence syntax, and usage clues. Another example of Cognitive AI technology includes a system that can recognize images of humans, places, things under varying conditions. Yes, these systems can perform these tasks; however, it cannot extend its learning to newer problems and categories as we can. Humans continue to define a system’s scenarios and the use cases under which it’ll operate, however, its decades away until a machine would function as cognitively as humans.
Myth #3: AI Algorithms Understand Every Inch of Data You Feed
The quality of the data, and not higher amounts of data, matter to the algorithm. Agreed, larger datasets are proportional to better training of your model, however, it’s important for us to understand that the “right” kind of data must be fed into the algorithm. If we take a particular model, for example, you need to feed data that are relevant to the model’s purpose, its domain, and its use case. IBM researchers who’ve provided the world with Watson – IBM’s AI platform, noticed that the performance of a system is greatly hampered when you’ve pushed information that cannot be digested easily. Every model/system requires, or rather demands, high quality and delicately curated datasets for good results.
Myth #4: AI Will Outspace Human Intelligence
It’s a very common misconception for a lot of us to picturize computerized intelligence better than human intelligence since we do have a calculator that indefinitely overtakes humans’ calculation abilities. Computerized intelligence has a faster recall time as compared to humans, agreed. But, there are different dimensions to the word “intelligence.” Tasks that require things like creativity, strategic and critical thinking, and emotional intelligence are essential components of an intelligent human brain; do you think you have an AI algorithm that exhibits these traits? Maybe in another century, but it’s definitely not anytime soon.
Myth #5: AI-driven Superior Robotic Beings Can Destruct Mankind
If anything, I believe this myth has been inspired by the science fiction genre of movies and books. Even though there’s always a future where anything is possible, it’s extremely unlikely for a human to build a robot that would be dead set against its own creator and its fellow human beings. Yes, security robots and drones have been developed, but it’s a hypothetical scenario to expect a robot that’d develop self-preservation instincts, or make a decision to take humans under its control. The unlikeliness of this myth means it’s pointless to address this possibility as an immediate problem. Is it possible in the future? Maybe. But there are definitely other concerns that need our attention more than these science-fiction threats.
At the end of the day, it all boils down to the fact it’s inevitable for humans to encounter myths like these, but we need to feed our brains with the accurate and right kind of information as well. The evolution of technology that began with the First Industrial Revolution has just started its journey on level 5, and the number of levels ahead of us will forever remain unknown. So, instead of considering AI as a threat to our livelihoods and lifestyles, we must embrace Artificial Intelligence and other technological breakthroughs as they come our way in the distant future.