Losing jobs to technology is not a new thing. From the time industrial revolution started, duties that were once performed by human beings have been gradually replaced by some form of computerised robotic technology. Even in cases where the human worker is not totally replaced by a machine, humans have learned to depend on a battery of machinery to be more accurate and efficient.
Evolution of Robotics not taking over Human’s jobs
But you would not need to pack up your counter or a table and hand over to a computer just yet, and in fact, jobs that require a definite level of social intellect, as well as creativity for example in healthcare, media and education, are expected to remain in demand from human beings, because these tasks remain hard to be automated.
Nowadays, we live in an age dominated by artificial intelligence. Artificial intelligence can be seen as a group of technologies that can be used to reproduce tasks performed by human beings with the help of robotic machines.
Initially, we may not see it but we cannot ignore running into one or more than one systems that implement some aspects of an artificial intelligence. Like algorithm in our day-to-day activities — ordering a suggested product on Amazon, looking for some information via Google.
Recent advancements in artificial intelligence are largely attributable to a special technique called deep learning. This technique is often said to be as neural networking or machine learning. It involves educating a computer model so it can recognise items or objects from images. The command of deep-learning-based artificial intelligence systems depends on upon their ability to automatically identify observable properties and apply them to resolve difficult recognition issues.
Even though human beings might simply execute such recognition studies almost automatically, it is often hard for humans to clarify the correct process at an adequately complete level so that it could be programmed into a computer.
Deep learning has changed all of this. These days, deep-learning-based artificial intelligence systems can discover the salient features for solving problematic issues that were once thought to be solvable only by human beings.
Despite the fact that deeper level of knowledge that our computers will soon acquire, losing our careers to machines does not have to be a bad thing. Letting machines do a huge amount of the work means that humans will be freed from daily tasks that computers are better at performing with higher precision rates, for example driving cars.
ALSO READ: Boost Productivity using Cloud Tools, ROI
Artificial intelligence systems have already become far too complex for the normal person to understand, let alone repair, so there will be new roles created which will need people who can operate as intermediaries between human beings and computers.
Similar to professions such as law or medicine, where experts with dedicated skills are required to understand technical details for everyday folk, we will need experts who speak the language of artificial robotics intelligence.
These experts may differ in their expertise and skills and are likely to consist of computer scientists, data scientists and software developers.
Although artificial intelligence based robotic systems are becoming smarter than human beings in almost every field, these automated robotics technology are far from perfection and are not likely to ever be perfect allowing the unpredictable learning structures they use.