The concept of artificial intelligence (AI) is so vast that there are many misconceptions. Artificial intelligence has a great future and will be one of the essential tools for organisations in the future. Millions of people have lost their jobs due to the effects of the Covid-19 pandemic and now the machines will take away even more jobs from workers, according to the World Economic Forum. Artificial intelligence will soon rule every single aspect of our life from online shopping to smart cities, quantum computing, blockchain, autonomous vehicles, and cybersecurity. Today's artificial intelligence as well as machine learning, deep learning, and neural networks are driven by statistics, big data analytics, processes, methods, techniques and algorithms.

Today, misconceptions about AI are spreading like wildfire. It seems that the rapid technological advancements inspire various myths about people losing their jobs and the demise of humanity as a whole. At the same time, the sci-fi genre paints a dystopian future where robots have taken over. You have probably heard some of those myths. You may even find some of them believable. That's why we compiled a list of the 10 most common misconceptions about AI and debunked them with genuine pleasure. So, before you end up in a heated argument with your friends about whether there's a difference between AI and ML, scroll down and get the facts.

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Well, these days, the answer depends on who you ask. For some, it means computers have finally achieved, just like us, general intelligence; what Ray Kurzweil would call the "singularity". But, with AI technology making its way into the real world of business, it is crucial that business and IT leaders fully understand how AI can create value for their business and where its limitations lie. As Alexander Linden, research vice president at Gartner, said: "AI technologies can only deliver value if they are part of the organisation's strategy and used in the right way." As such, Gartner has identified five common myths and misconceptions about AI.

IT and business leaders are often confused about what artificial intelligence (AI) can do for their organizations and are challenged by several AI misconceptions. Gartner, Inc. said IT and business leaders developing AI projects must separate reality from myths to devise their future strategies. "With AI technology making its way into the organization, it is crucial that business and IT leaders fully understand how AI can create value for their business and where its limitations lie," said Alexander Linden, research vice president at Gartner. "AI technologies can only deliver value if they are part of the organization's strategy and used in the right way." Gartner has identified five common myths and misconceptions about AI. Myth No.1: AI Works in the Same Way the Human Brain Does AI is a computer engineering discipline.