What is Artificial Intelligence? Might be the best answer would be like that, “Artificial Intelligence is Computer Science Discipline that deals with techniques of imitating human thinking process in machines. It includes learning, rules of learning, reasoning and wandering in the complex maze of the human brain to conclude what is plausibly understandable”.
AI is sufficient to handle different areas ranging from Google’s search algorithms to self-driving cars. Today AI is the point of attention of most of the computer scientists and they have achieved a certain level of success in materializing their dreams as well. They say, the ghost of AI is about to engulf the human race in a couple of decades, with all its pros and cons, and we should be ready for those inevitable times.
Future Is Dark
That makes AI one of the hottest topics among different tech news circulating on media, these days. Rumors say that progress of AI would cause more saturation in job market. Computers will take over human’s jobs and unemployment rates will exponentially shoot up.
Gallup Poll of 2017 conducted in America, says that 73% of Americans think that Artificial Intelligence is going to kill more jobs than it creates.
They asked Americans, which one would be the bigger threat to US jobs in the next decade. The first option was Artificial Intelligence and second, was Immigration and offshoring. Shockingly, 58% of the Americans saw AI as a greater job threat. Remaining 42% argued that immigration is more dangerous than AI. The survey made it crystal clear that Americans perceive new technology as a greater threat to jobs in the U.S. over the next decade than immigration and offshoring. Reasons are obvious and not hard to predict.
In 2016, two massive firms, FoxConn and Walmart, announced of replacing 60,000 and 70,000 jobs with AI-powered technology. Every now and then, this kind of news resonate in the world and disclose that any big company has replaced a plethora of jobs with AI-powered technology. People are frowned to see a proliferating trend of integrating AI into the workforce. Such horrible structural shifts are enough to intimidate public.
Technology eliminating jobs is not anything the world has never seen before. On the contrary, it has been happening ever since the beginning of the Machine era. However, never in history, people have been witnessed so desperate. What makes AI grimmer as compared to technological advancements of the past, is that low skilled labor market is less victimized. Risks are dramatically equal or perhaps high for an unexpected population of skilled knowledge workers whose jobs involve data-driven decision-making.
Well, there is one concept that needs to be corrected. Many people can think of nothing other than Robots when they are talking or reading about Artificial Intelligence. Well, the robots of Hollywood movies, you adore are just one dimension of this umbrella Technology. What influence our lives more are sophisticated machine learning algorithms. These algorithms learn independently and make autonomous decisions. It is a practical approach to know both of these aspects.
So we were talking about how AI threats white collar jobs more than blue collar jobs. So skilled people whose job involve data-driven decision-making are at risk. It is because of sophisticated algorithms that learn adaptively at increasing speeds. Of course, they are much cheaper than humans are.
In fact, dynamic machine algorithms have a distinct data-driven competitive advantage over human pattern detection. They are better equipped to search massive data sets for profitable patterns as compared to any data science expert. So says the report at the famous website of Brookings. The writer of the article is Makada Henry-Nickie.
Entilic, a recent medical startup reported that its AI algorithm is able to detect and classify lung modules as benign or malignant. Surprising thing is that this particular algorithm can do this job better and quicker than four radiologists can. So skilled class needs to be equally afraid of AI.
Algorithm recognizing the pattern better than human mind may not be too surprising. We all know that human mind is not very good when it comes to big data or data analytics.
It is public psychology to perceive low-skilled workers as the front line victims of AI. However, the truth is that low-skilled jobs are service-centric, retail-oriented and dependent on personal interactions, which makes them much safer.
Replacing these low skilled jobs with AI would be expensive trade. It would demand more number of experiments to successfully imitate or replicate spontaneous human interactions and emotional intelligence. The more the job depends on personal interactions, the more it is safe from cruel technology advancements. Lesser the job needs personal interactions, the more vulnerable it becomes to the grim monster of Artificial Intelligence.
Future Is Not Too Dark
Kaviyan Alikhani, the CEO and Co-Founder of Compliance.ai has some solace to offer. In her recent article published on Forbes.com, she says that AI will evolve in the workforce as an augmentation to human intelligence, not as a replacement.
She argues that AI needs human supervision to make sense of patterns and leverage the knowledge. No matter how fast and efficiently any AI algorithm can detect and classify lung modules as malignant or benign, it does not mean that radiologists would have nothing better to do.
There are two kinds of algorithms in machine learning. First ones are called “Unsupervised”, and second group is known as “Supervised”.
First, we will explain Unsupervised Learning Algorithms. Well, they are supposed to find out hidden patterns in huge sets of data. It is useful for data mining and big data analytics. Experts of Data Science prefer to program the algorithm for finding its own structure, rather than assigning any labels to data subsets. The approach is not only good for identifying hidden patterns, but it is also best to find anomalies.
Supervised learning is a bit more close to real intelligence, some people think so. The learning is measured by the quality of how an algorithm labels a newly encountered problem.
Traditional unsupervised algorithms are roughly 80% accurate. This success rate is ridiculously low to satisfy business needs. So it is not possible to totally eliminate human input. You will need it to improve the algorithm’s assessment of confidence level.
When you are done with the fine human tuning of the model, the judgments can be fed into machine learning algorithms in order to make proper amendments and make it smarter.
Future Is Bright
Famous Investopedia report says that AI and robotics are going to create 60 million more jobs than they will eliminate by 2022. They have covered the predictions made by the World Economic Forum. We can see that AI is decreasing the numbers of Jobs, but the report guarantees that on the flip side of coin AI would generate new jobs as we.
They quote the examples from vehicles industry so that anyone can easily understand. Auto manufacturers may assemble vehicles with robots, but it would make vehicles far more complicated.
Modern vehicles demand specialized expertise to service and maintain them. Thanks to navigation systems, telematics, and driver-assist tools. Still, there are many jobs for mechanics.
The demand for automotive service technician and mechanics will increase by 6% by 2026, a growth rate on par with the rest of the economy. This is the forecast by the Bureau of Labor Statistics.
Mechanics can plug in a code reader that would diagnose problems within seconds, instead of strenuous trial and error of long physical inspections. Telematics and diagnostic algorithms aid mechanics would be the great and helpful assistants of mechanics.
Nobody has seen future. We can just predict, keeping in mind the past and current trends of the world. So nothing can be said for sure. But it makes sense that AI will make machines more complex and more complex machine would make up new job opportunities. Annihilation of jobs is only one side of picture!