The diverse nature of Artificial Intelligence has evolved almost everything around us.
While we think AI is going to replace the conventional working methods we humans are dependent on, it surely is a lot more than what we are expecting.
Here’s a myth-buster - AI is not going to replace human jobs overall. There are many concerns about the same, but understand that they still need input and supervision from humans to perform their jobs.
While science fiction is making you believe that AI involves creating robots that are going to invade the earth, I say it is merely a concept, as true as the flat-earth society.
The common use of AI technology could be seen in Google’s search algorithms, YouTube, and its fundamental methods of working or your phone’s virtual assistants.
The current scenario of AI involves the rise of specific technologies like self-driven cars or facial recognition in your smartphones, which contributes to narrow (or weak) AI.
However, the long-term goals of researchers include the creation of general (or strong) AI and possibly heavily-influence most of the tasks that we perform on a daily basis.
AI or what we call narrow AI, currently performs almost every function precisely it’s been assigned to. With the help of data-trained models, it falls into the categories of deep learning or machine learning.
The significance of AI could be seen from the past few years as data collection and analysis have drastically changed overall, thanks to the IoT connectivity and interconnection between your personal devices and hefty computer processing.
Some of the common sectors around us have already started their AI journey, while some are yet to adopt this technology in their work environment. The common ground, however, is that both have a long way to go before they could actually see a major influence on their working standards.
Still, there are some of the common sectors AI influences, and we just couldn’t help but notice:
In case you don’t know about Cognitive AI, let me explain it in a nutshell.
The cognitive AI agents are those advisors in your programs that have an in-built power reasoning engine that could help you solve some of the most complex problems.
Just like humans, these could fill the knowledge gaps and understand a situation better based on either the previous knowledge they have or by augmented fragmented evidence that’s composed into a mental model - quite similar to what they already have been fed.
These agents have more knowledge and could perform a flawless decision-making process based on the situation. These systems help in solving such problems that weren’t easy to handle before.
Just like I mentioned cognitive systems, know the fact that the future of AI does involve the creation and stability of more advanced cognitive systems that could possibly perform better than machine learning systems.
These systems could interact with human experts and provide more insightful answers. People would see work done by machines quite similarly to what an expert’s approach would be.
Systems would also see valuable intelligence. Some of the common examples of this are:
It really doesn’t matter how intelligent our AI systems become, they won’t ever be able to replace a conventional human brain, not by a long shot.
As we know, mental development that’s required for all the complex intelligence solely depends on the stimuli received, and these stimuli depend on the body.
Along with that, machines can’t ever have an emotional perception of certain things. They are perfect in what they are doing. There’s no need to fret over the fact that our jobs would be affected due to such systems.
AI has a lot more to see in the future. Whatever we see right now is just the tip of the iceberg. There’s so much that surrounds these technologies that you would actually be surprised. For now, let’s just be content with the fact that there’s no replacement for human intelligence!Back To Blog