There are lots of inaccuracies and myths that skew the reality of AI. It is most definitely going to become a part of our lives in many areas, such as politics, making business decisions, and even the more recreational side of life, like playing online casino games or watching films. Learning the underlying technology and the challenges created is the only way we will have the ability to make formal decisions when it is being used. Here are six common misconceptions surrounding the world of artificial intelligence. There is quite a long way to go before machines can decide for themselves what area of application they will operate in.

The world does not stand still. Who among us, as a child, imagined that cell phones and the Internet will be fully integrated into our lives? This is no longer а gimmick, almost everyone has a phone, and maybe even two. We can't imagine our life without a computer, and we never leave the Internet, day or night. It made our lives easier in some respects, but it has also brought a number of inconveniences with it.

I highly recommend reading the McKinsey Global Institute's new report, "Reskilling China: Transforming The World's Largest Workforce Into Lifelong Learners", which focuses on the country's biggest employment challenge, re-training its workforce and the adoption of practices such as lifelong learning to address the growing digital transformation of its productive fabric. How to transform the country that has become the factory of the world, where manual assembly was the cheapest due to its low labor costs, into an artificial intelligence giant, with the largest public blockchain infrastructure in the world, a digital currency in an advanced stage of development that will see an end to cash payments, along with the world's largest 5G network? Xi Jinping's state capitalism is transforming the Asian giant: the possibility of drawing up and maintaining long-term strategies thanks to political stability is driving change at an unprecedented rate, that includes autonomous driving and digital healthcare, advanced retail or even livestock farming. No matter where you look: the modernization and robotization of Chinese assembly factories has led to enormous reductions in the size of their workforces, which, moreover, immediately correspond not only to an increase in their production capacity, but also to a drastic reduction in the number of errors. And the COVID-19 pandemic, far from slowing the process, has accelerated it even further.

New York – The robots are no longer coming; they are here. The COVID-19 pandemic is hastening the spread of artificial intelligence, but few have fully considered the short- and long-run consequences. In thinking about AI, it is natural to start from the perspective of welfare economics -- productivity and distribution. What are the economic effects of robots that can replicate human labor? Such concerns are not new.

An army of robots now scrub floors, grow microgreens and flip burgers. Due to advances in artificial intelligence, computers will supposedly take over much more of the service sector in the coming decade, including jobs in law, finance and medicine that require years of education and training. Will automation-induced job loss tear society apart? The question has even influenced the US presidential race. Candidate Andrew Yang blames automation for a long-simmering crisis of underemployment.

New York (CNN Business)Robots are getting better at doing human jobs. That's probably good for the economy -- but there are some serious downsides, too. Machines are expected to displace about 20 million manufacturing jobs across the world over the next decade, according to a report released Wednesday by Oxford Economics, a global forecasting and quantitative analysis firm. That means about 8.5% of the global manufacturing workforce could be displaced by robots. The report also notes that the move to robots tends to generate new jobs as fast as it automates them, however it could contribute to income inequality.

It seems that we've already seen more than we were ready to VR in video games, IoT in medicine and smart cities being brought to life. We are really close to living in some sort of sci-fi so it's a good idea to have a look at the most possible and promising machine learning and AI trends for the upcoming 2018 and ask ourselves if we are ready for them. Healthcare is one of the biggest and most crucial industries in the world so no wonder it's the one that is heavily using the latest technologies – because it's the matter of life and death. First of all, due to artificial intelligence and work with Big Data, a scientist will soon get the opportunity to prevent certain diseases, like cancer. This can be done by analyzing patient's history and all their records so AI will be able to understand the mechanism of disease, thus enabling doctors to be proactive instead of reacting.

I admit, we've heard it all before. Employees have been worrying about the rising tide of automation for 200 years now, and for 200 years employers have been assuring them that new jobs will naturally materialize to take their place. After all, if you look at the year 1800, some 74% of all Americans were farmers, whereas by 1900 this figure was down to 31%, and by 2000 to a mere 3%. Yet this hasn't led to mass unemployment. In 1930, the famous economist John Maynard Keynes was predicting that we'd all be working just 15-hour weeks by the year 2030.

It seems that we've already seen more than we were ready to VR in video games, IoT in medicine and smart cities being brought to life. We are really close to living in some sort of sci-fi so it's a good idea to have a look at the most possible and promising machine learning and AI trends for the upcoming 2018 and ask ourselves if we are ready for them. Healthcare is one of the biggest and most crucial industries in the world so no wonder it's the one that is heavily using the latest technologies – because it's the matter of life and death. First of all, due to artificial intelligence and work with Big Data, a scientist will soon get the opportunity to prevent certain diseases, like cancer. This can be done by analyzing patient's history and all their records so AI will be able to understand the mechanism of disease, thus enabling doctors to be proactive instead of reacting.

A recent study by the McKinsey Global Institute found that at least one-third of workers in most occupations can be replaced by robots. That translates into 800 million lost jobs, worldwide. In the U.S., according to McKinsey, 70 million Americans could become casualties to robotics, artificial intelligence and machine learning by the year 2030. The equivalent figure for Canada is about eight million jobs -- in both cases, roughly 30 per cent of the workforce. It might be thought the introduction of such revolutionary technologies would generate enough new employment to make up the difference. But that is not the conclusion of the study.