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  Challenges on AI revolution Artificial intelligence (AI) has many advantages, but it also poses a number of challenges to the entire globe. Among the most important difficulties we face are those pertaining to transparency, interpretability, fairness, accountability, and trustworthiness. Furthermore, AI poses serious concerns about the security and privacy of data. Other significant obstacles to the AI revolution are the lack of modern, capable infrastructure and the growing complexity of current AI models. An other obstacle in the AI revolution may be figuring out who owns intellectual property. We must overcome these obstacles if we are to stop the negative effects of the AI revolution. In order to successfully overcome those problems, we can practise implementing the following strategies. The use of artificial intelligence (AI) is skyrocketing as businesses, governments, and charities adopt the technology. Some of the applications are relatively trivial – AI is used to provide...
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  What is artificial intelligence? While a number of definitions of artificial intelligence (AI) have surfaced over the last few decades, John McCarthy offers the following definition in this 2004 paper. " It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable." However, decades before this definition, the birth of the artificial intelligence conversation was denoted by Alan Turing's seminal work, "Computing Machinery and Intelligence", which was published in 1950. In this paper, Turing, often referred to as the "father of computer science", asks the following question, "Can machines think?"  From there, he offers a test, now famously known as the "Turing Test", where a human interrogator would try to distinguish ...