1. Introduction to Artificial Intelligence(AI)Artificial intelligence was a term first coined back in 1955 by a professor named John McCarthy. He called upon a group of scientists to see if a machine could learn like a young child does, by using trial and error to develop formal reasoning. This idea and project has since been worked on and improved since the initial concept (Knapp, n.d.). AI research has been on the rise and we already have AI in our lives today. Sophia, a human-like robot developed by Hanson Robotics has obtained the first AI citizenship in the world in Saudi Arabia recently in 2017 (News Desk, 2017).This report will be answering the common 5W1H questions of Artificial Intelligence which consist of what, why, when, where, who, and how. This includes the different aspects of AI, differences between Weak and Strong AI, and different branches of AI such as expert systems and deep learning. In depth discussion will be focused on the real dangers of AI as many people have a misconception of robots taking over the world from sci-fi movies. Future trends of what this technology will bring us in the foreseeable future and the impact on our live will be discussed further towards the end of the report.2.1 What is AI?AI is a computer we create to mimic a human decision process making in solving problems. A computer would show some form of intelligence when it learns to improve itself at solving these problems. Intelligence comes in many forms and has many different aspects (Smith, 2016).The original 7 aspects of AI from 1955 are :Simulating higher function of the human brain.Programming a computer to use general language.Arranging hypothetical neurons in a manner so that they can form concepts.A way to determine and measure problem complexity.Self-improvement.Abstraction : Quality of dealing with ideas rather than events.Randomness and creativity.The below diagram shows the branches and categories of AI we know today:2.2 How does AI work?The above diagram is a example of a artificial neural network. Artificial neurons takes a series of inputs, combine them and emits a signal. They take numbers in and spit numbers out. They are organized into layers connected with links, forming a network. In this case, a image is given and processed to give an output of either cat or dog. It uses complex algorithm and functions to determine the result. Labeled data would have to be used for training and testing before it is possible (Srivastava, 2014).AI is only as good as the data it is fed, the accuracy and quantity of data given to it determines the success rate and the number of problems the AI can solve.2.3 Why do we need AI and Where can it be used?AI can be used to improve our lives by automating repetitive tasks, freeing up our time to do more meaning things. Diagram of where weak AI can be used:The above diagram shows an example of an expert system used in medical field. The decision-making ability of a human expert is emulated by an expert system. By consolidating different medical field knowledge from human experts, expert systems have the knowledge of many medical experts.This is useful because doctors are not available everywhere but an expert system is as long as there is power. Productivity, consistency in decisions will be raised greatly with the aid of expert systems (Rouse, n.d.).2.4 When will we get AI?While we are not close to Strong AI yet, we have Weak AI that perform specific tasks such as Siri from iphone which specialize in speech recognition.Recently, AlphaGo, a supercomputer made to mimic a human learning and decision making process, adapting in the different situations met in the game “Go”. AlphaGo uses unsupervised learning and it is a big breakthrough towards the goal of Strong AI. Experts have diverse opinions on whether Strong AI is achievable and when it will be achieved. The real answer is nobody really knows but we are making positive steps forward currently.2.5 Who are the stakeholders of AI?Everyone, from Public to Governments to Businesses/Companies to Users. Sharing our daily lives with artificial beings smarter than us is not easy. There are issues such as privacy, data sharing and safety. We have to make sure that AI will not widen our current digital divide. Rules and regulations will have to be set up to maximize the benefits and minimize the cons.