Weak AI, also known as narrow AI, focuses on performing a specific task, such as answering questions based on user input or playing chess. Main stream machine learning research on deep artificial neural networks (ANNs) may even be characterized as being behavioristic. Explain Turing Test (also known. Strong AI is different from. Weak AI illustrates that intelligent behavior can be modeled. 2. Strong AI is when machines exhibit traits that resemble human intelligence and consciousness – if this is achieved, it ultimately means that machines can make decisions that parallel those made by humans using self. Most of the AI system on the market today are weak AI. Robotics. Be prepared to handle these mistakes. Strong AI—in its original intended definition—is the hypothesis that "the brain is a digital computer, and the mind is a computer program". Strong AI systems carry out human-like. In discussions of the mind-body issue, the argument over strong vs. Narrow artificial intelligence (narrow AI) is a specific type of artificial intelligence in which a technology outperforms humans in some very narrowly defined task. Strong AI. strong artificial intelligence (AI). Strong AI. Financial Sector. This is where the distinction between strong and weak AI comes into play. A brain develops from childhood to adulthood. However, the goal pursued by many AI researchers is to develop AI that is in principle the same as human intelligence, called strong AI. In this article, we discuss the 3 types of AI in depth, and theories on the future of AI. . AI mạnh là một lí thuyết về việc có thể tạo ra máy móc có trí thông minh ngang bằng với trí tuệ của con người. Here we show that despite these challenges, an appropriate law is the most. specific problem. Strong AI This refers to the field of artificial intelligence that works toward providing brainlike powers to AI machines; in effect, it works to make machines as intelligent as the humans. These Narrow AI systems are designed and trained for a purpose. Narrow or weak AI performs a specific task, whereas general or strong. Narrow AI is designed to perform a specific task or a set of tasks, while general AI is designed to perform any intellectual task that a human can. As these words are being written in 2018, we live in an age of weak and narrow AI. Weak. However, by the varying definitions of Strong AI, it’s quite easy to conclude that all the artificial technology we’ve created up until this point is technically Weak AI. Artificial Narrow Intelligence (ANI) Artificial Narrow Intelligence or ANI is what’s known as weak AI, meaning it can only complete one task. Researchers aim to create an AI system with human-like intelligence and capabilities. In comparison to strong AI, weak AI has fewer functions. They can handle a lot of information perfectly, but they can’t really. What is Strong Artificial intelligence?What is Weak Artificial intelligence? What is Strong AI? What is Weak AI? What is the difference between Strong Artifi. It should hone its. There are two types of AI; narrow/weak and general/strong. Artificial Narrow Intelligence (ANI), sometimes known as "weak AI", refers to any AI that can outperform a human in a narrowly defined and structured task. 1. Also known as super AI, artificial superintelligence is considered the most advanced, powerful, and intelligent type of AI that transcends the intelligence of some of the. What are the 2 categories of AI? There are two main categories of AI: Weak AI: Weak AI is a type of AI that can only perform specific tasks. these machines can still make their own decisions based on reasoning and past sets of data. 존 설에 따르면, 약한 인공지능 연구의 입장에 따르면 마음의 연구에서 컴퓨터가 갖는 주된 가치는, 그것이 우리에게 매우. Sumera Saeed. Sedangkan Strong AI lebih kompleks. As machine learning capabilities continue to evolve, and. It refers to machines that are using advanced algorithms to accomplish specific problem solving or reasoning tasks. Weak AI. Simply put, it is AI that performs a limited range of tasks. The room as a whole understands Russian even if the. Weak AI, also known as narrow AI; is an AI system that is designed and trained for a particular task. Weak AI depends on human interaction for various parameters and needs training data to reach the accuracy level. Virtual personal assistants, such as Apple's Siri, are a form of weak AI. Get insights, FAQs for students. Furthermore, it is quite often used contrary to strong AI, which is Artificial General Intelligence (AGI). This type of AI, also referred to as narrow AI, gives the illusion. Purports to refute the possibility of strong AI produced by the classic AI paradigm which understood cognition in terms of formal procedures. Strong AI (or artificial general intelligence) is a machine with consciousness, sentience, and mind, and this machine has intelligence in more than. According to this idea, a weak AI is an AI system that doesn’t have a mind or consciousness. The problem with these definitions is that. Strong AI, also known as artificial general intelligence, refers to the ability of machines to display general intelligence, of the kind displayed by humans, which can be applied to many different tasks and situations. Strong AI not only emulates human-like decision-making but also has the potential to comprehend emotions and exhibit emotional responses. Total cost of knowledge d. The conferral of rights or the imposition of duties on AI for purposes of legal personhood could be attributed, in the case of a weak AI without a recognised will, or directly in the case of a strong AI with a recognised will. . 8 "Computer simulating human brain model. Strong artificial intelligence (strong AI) is an artificial intelligence construct that has mental capabilities and functions that mimic the human brain. A strong AI, in contrast, is an AI system that possesses a similar state. Weak AI simulates human intelligence for specific tasks. As it turns out, there are very few strong acids, which are given in Table 11. One test for whether a machine exhibits weak AI is what Alan Turing called ‘theWeak or narrow AI is the only one that exists today. Strong AI is the theoretical next level of AI: True Intelligence. It became popular because it assists users on. artificial general intelligence); (3) clarifies how to judge which paradigm a research. Strong & weak AI. In contrast to weak AI exists strong AI, also known as artificial general intelligence (AGI). Weak AI is in action when there can be a programmed response such as when AI runs a chess program. Weak AI. Weak AI includes systems created to carry out one task, like Amazon’s Alexa or Apple’s Siri. How to differentiate strong AI from weak AI? To differentiate the I was strong full I was. In other words, the differenceWeak AI: making machines imitate humans to allow greater understanding of humans-strong AI: make machine capable of human-like understanding. Weak AI: Weak artificial intelligence, often referred to as Narrow AI, refers to AI systems that are designed to perform specific tasks or solve particular problems within a limited domain. The main difference between weak and strong AI is that weak AI is confined to performing specific tasks. We’ve been saying for decades that it’s just around the corner. Strong AI is different from Weak AI. Strong AI moves towards machines with self-awareness, consciousness, and objective thoughts. That means we can stop working on weak AI, to a degree. , Describe the Turing Test. There are two types of AI: weak AI and strong AI. Main stream machine learning research on deep artificial neural networks (ANNs) may even be. Weak artificial intelligence (weak AI) is an approach to artificial intelligence research and development with the consideration that AI is and will always be a simulation of human cognitive function, and that computers can only appear to think but are not actually conscious in any sense of the word. Finally, AI is constantly changing. Generative Artificial Intelligence is any type of AI that can be used to create new and original content based on patterns and examples it has learned. Weak AI and Strong AI are two types of AI, classified based on the goals that the corresponding sets of researchers are focused on achieving. 2. Weak Artificial Intelligence (AI) simulates human cognition and benefits mankind by automating time-consuming tasks and. 2. Of our AIs are believed to be weak AIs. Strong AI, also known as artificial general intelligence , describes Strong AI is made up of Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI). 6 godlike powers. Narrow AI usually carries out one particular task with extremely high efficiency which mimics human intelligence. Weak AI is a term used to describe AI systems that are not as advanced as strong AI. Artificial Intelligence is the source of many questions and fears. 4 Coulda, Shoulda, Woulda. Weak AI is any technological system using techniques that appear intelligent, such as machine learning. Weak artificial intelligence (weak AI) is an approach to artificial intelligence research and development with the consideration that AI is and will always be a simulation of human cognitive function, and that computers can only appear to think but are not actually conscious in any sense of the word. Virtual personal assistants, such as Apple's Siri, are a form of weak AI. 強人工智慧（Strong Artificial Intelligence） ：. Definition, Challenges, and Best Practices for 2022. Last Updated on September 27, 2023. For example, a weak AI might be able to play chess or translate languages. Strong AI is supposed to have all and any cognitive capabilities that a human might have and is essentially identical to a real human mind. Today, weak AI and strong AI have been renamed as narrow AI and artificial general intelligence (AGI). Strong AI, True AI 약인공지능(Weak AI)에 대비되는 의미로 만들어진 용어이다. Weak AI, otherwise referred to as narrow artificial intelligence, describes the algorithms that can complete a set of finite functions. 2. The basics AI can be categorized as either weak or strong. Some of you may be confused. Strong AI vs Weak AI . 약인공지능은 어떤 특정한 한 가지 분야의 주어진 일을 인간의 지시에 따라 수행하는 인공지능을 말하는데 이러한 약인공지능의 제한된 기능을 뛰어넘어 더 발달된 인공지능이 바로 강인공지능이다. Siri is one of the best examples of weak artificial intelligence. This view implies that if a programmer types the right program into a computer console, then. Các đặc điểm chính của AI mạnh bao gồm khả năng: suy luận. It does not make sense to ask about the room's intelligence without taking into account how it behaves. If an acid is not listed here, it is a weak acid. Weak Artificial Intelligence. Weak AI simply acts upon and is bound by. Searle was also the researcher who coined the terms weak AI and strong AI. Weak. a. 1. It should hone its common decency and communication abilities by observation of people, the environment, and a variety of other factors. In contrast, weak AI may efficiently solve problems or perform tasks but does not emulate emotional understanding or responses. Unlike narrow or weak AI, which is designed to perform. machine can pass test if human doesn't know they're questioning the machine or a person. Unlike strong artificial intelligence, which aims to replicate human-level intelligence across a wide range of tasks, weak AI focuses on narrow, specialized. 2 comments. General AI. The AI algorithms are built to accomplish specific tasks rather than possess full cognitive abilities like the human brain. I. These Narrow systems performs their designated tasks but mainly lack in the ability to generalize tasks. Examples of words that have weak AI are travel, air, airy, feather, liana, triad, etc. Should our computers and robots think for themselves, and should we worry they might take over if we do?The terms have then evolved: strong AI refers to AI that performs as well as humans (who have minds), weak AI refers to AI that doesn't. : Artificial Intelligence, WALL-E, and 2001: A Space Odyssey. Weak and Strong AI. On the other hand, Searle stated that those in the area of strong AI, like Turing and his supporters, believed that they could actually duplicate. Weak AI, by Searle’s definition, was centered around simulation of the mind where machines such as the one described in the “imitation game” were tools for further understanding of the mind. With that being said, the implications of the phrase “Weak AI” creates an image in which AI systems are inefficient in performing against intellectual tasks, which isn. Unlocking The Power Of AI: Strong VS. Weak AI (also known as narrow AI) is a type of artificial intelligence that uses advanced algorithms to complete certain problem-solving or reasoning tasks that do not require the entire range of human cognitive abilities. This article explores their differences, applications, and impact, shedding light on the ongoing strong vs. RELATED: The biggest AI developments of 2016. Strong AI is what most people might be thinking of when they hear AI—some god-like omniscient intelligence like Skynet or Hal 9000. Narrow AI is designed and trained ona specific task or a narrow range tasks. Rather than attempting to fully replicate a human mind, weak AI focuses on creating intelligence focused on a certain job or subject of study. Strong AI, also known as artificial general intelligence, refers to the ability of machines to display general intelligence, of the kind displayed by humans, which can be applied to many different tasks and situations. The strong AI hypothesis: the philosophical position that a computer program that causes a machine to behave exactly like a human being would also give the machine subjective conscious experience and a mind, in exactly the same sense that human beings have minds. Current AI lacks common sense, that is, it is not able to infer, understand, or explain the hidden processes, forces, and causes behind data. The application of AI as we know it is thus far limited to specific tasks (like a car driving itself), a concept known as narrow AI or weak AI. A strong AI, in contrast, is an AI system that possesses a similar state of mind or consciousness as that of the human who translates texts. In this paper, some ethical challenges in the development and application of weak and strong AI systems are analyzed. In this paper, some ethical challenges in the development and application of weak and strong AI systems are analyzed. A real-life example that pushes the boundaries between weak and strong. Weak AI can outperform humans on the specific tasks it is designed for, but it operates under far more constraints than even the most basic human intelligence. Russell and Norvig agree: "Most AI researchers take the weak AI hypothesis for granted, and don't care about the strong AI hypothesis. It is still an assumption that has a concept of building AI agents with thinking, reasoning, and. However, some academic sources reserve the term "strong AI" for computer programs that experience sentience or. Strong AI would possess the capacity to reason, solve complex problems, and learn from experiences across various domains, transcending the limitations of specific tasks. What is Strong AI? In contrast to weak AI, strong AI represents a theoretical form of artificial intelligence that surpasses human intellectual capabilities. Some of you may be confused. Admittedly a weird and rather awkward overlap (though it's worth noting, people rarely use strong/weak AI as a term these days). In 1980, John Searle coined the following statements: AI hypothesis, strong form: an AI system can think and have a mind (in the. Weak AI. Weak AI - Focuses on one task and cannot perform beyond its limitations (common in our daily lives) Strong AI - Can understand and learn any intellectual task that a human being can (researchers are striving to reach strong AI). Also, it is the AI that can program itself and develop a positive feedback loop that makes it smarter. Weak AI presents AI as a tool for solving problems, whereas Strong AI is the generation of an “actual” mind. The idea of artificial general intelligence (AGI)—where an AI system would have full human cognitive ability and perform unfamiliar and unrelated tasks—is known as strong AI and is probably far off. The innovations of the 90s between debates on strong and weak Artificial Intelligence and the Deep Blue victory against the world chess champion. Narrow AI is often contrasted with artificial general intelligence ( AGI ), sometimes called strong AI; a theoretical AI system. Weak AI systems are designed to perform specific tasks, such as playing a game or solving a specific problem. Weak AI, also known as narrow AI, is an AI system that is designed and trained for a particular task. Searle 1984,39) Searle has been quite explicit in presenting an apparently independent argument for the same conclusion. AI, at least of the “Strong” variety (we’ll discuss “Strong” versus “Weak” AI below) is indeed an attempt to substantiate, through engineering certain impressive artifacts, the thesis that intelligence is at bottom computational (at the level of Turing machines and their equivalents, e. When a computer is just good at one thing, it is said to have weak AI. Unlike strong artificial intelligence, which aims to replicate human-level intelligence across a wide range of tasks, weak AI focuses on narrow, specialized. strong AI Searle begins by distinguishing weak vs. ML is divided into 4 types: Supervised Learning, Semi-Supervised Learning, Unsupervised Learning, and Reinforcement Learning. Weak AI, Strong AI and Superintelligence Should we fear artificial intelligence and all it will bring us? Not so long as we remember to make sure to build artificial emotional intelligence into the technology, according to the website The School of Life. But, socially speaking, the answer may very well be no. weak AI. Weak AI - Focuses on one task and cannot perform beyond its limitations (common in our daily lives) Strong AI - Can understand and learn any intellectual task that a human being can (researchers are striving to reach strong AI) Super AI - Surpasses. The basics AI can be categorized as either weak or strong. , indistinctly concerning a human being);10 John Searle was the first to use the terms strong AI and weak AI, writing that with weak AI, “the principal value of the computer . In other words, the technology is not actively thinking for itself. In this paper, the author (1) explains why controversies about AI exist; (2) discriminates two paradigms of AI research, termed "weak AI" and "strong AI" (a. Narrow AI, also known as weak AI, is an application of artificial intelligence technologies to enable a high-functioning system that replicates -- and perhaps surpasses -- human intelligence for a dedicated purpose. Strong AI is more versatile and can handle more complex tasks, while weak AI is more specialized and limited in its abilities. (Also known as Functionalism (philosophy) or the Computational theory of mind ). Although AGI is less. Financial Sector. Artificial General intelligence or “Strong” AI refers to machines that exhibit human intelligence. Narrow AI, also known as weak AI, is an application of artificial intelligence technologies to enable a high-functioning system that replicates -- and perhaps surpasses -- human intelligence for a dedicated purpose. From a technical point of view, I agree with the idea that we have achieved one or two. You might hear the terms weak AI and narrow AI, or conversely strong AI and broad AI. In other words, weak AI cannot think for itself and venture outside the relatively limited box containing its programmed information. So there is a. Weak AI is in action when there can be a programmed response such as when AI runs a chess program. AI can be categorized as weak or strong. Teknologi AI pada akhirnya dikelompokan menjadi dua, yaitu Weak AI dan Strong AI. Strong AI's goal is to develop artificial intelligence to the point where the machine's intellectual capability is functionally equal to a human's. 9 Practical Examples of Strong/General AI. Weak and Strong AI. John Searle in his paper “Minds, Brain and Programs” presented the strong critics of the strong intelligence. strong artificial intelligence (AI). Strong AI juga dikenal sebagai kecerdasan buatan umum, dimana AI ini memiliki kecerdasan yang hampir. It is strong AI because ChatGPT gave you genuinely helpful advice that’s the same quality as a human’s. Narrow or Weak AI. Technologically speaking, the answer is yes—we just stop developing A. a. Via Braintree, Gurianov, now 47, claims he has plunged £20m into cracking Strong AI. Narrow AI is often contrasted with artificial general intelligence ( AGI ), sometimes called strong AI; a theoretical AI system. Weak artificial intelligence, also known as Narrow AI, refers to a type of AI that is designed to perform specific tasks within a narrow domain. 5 Parallelism vs speed. These neural networks are used for training the AI system to improve its performance over time. Weak or narrow AI is the type of artificial intelligence that powers self-driving vehicles, algorithmic image generators and chatbots. 54k views • 32 slidesStrong AI vs. According to this idea, a weak AI is an AI system that doesn’t have a mind or consciousness. Strong AI not only emulates human-like decision-making but also has the potential to comprehend emotions and exhibit emotional responses. Any acid that dissociates 100% into ions is called a strong acid. (Must read - All About AIoT (Artificial Intelligence of Things)) Strong AI vs Weak AI . The difference between strong and weak AI is that strong AI is the future of artificial intelligence, while weak AI is the present form of artificial intelligence. AI Kuat atau Strong AI. Weak AI can outperform humans on the specific tasks it is designed for,. 3. Creativity b. This form of AI is based on the belief that computational power can emulate human brain capabilities. Current AI applications are typically designed to carry out one task, becoming increasingly good at it as they are fed more data. All the AI that’s available today can be. Narrow or Weak AI refers to AI systems that are designed to perform a specific task, such as speech recognition, image classification, or natural language processing. A concept class Cis weakly PAC-learnable iff it is strongly PAC-learnable. k. The weak AI, or the narrow AI that we usually know of, can only run facial recognition, do internet searches or drive autonomous cars. Super AI is a system that’s intellectually superior to humans. Strong AI means the ability to learn any task that people can perform. Finally, AI is constantly changing. ข้อสังเกตที่ทำให้ Weak AI กับ Strong AI แตกต่างกันอย่างชัดเจน ก็เป็นเรื่องจุดประสงค์ในการทำงานของพวกมัน Weak AI ออกแบบมาให้ทำงานบาง. It can perform one type of task, but not both, whereas Strong AI can perform a variety of functions, eventually teaching itself to solve for new problems. Strong AI vs Weak AI. In the 1970s and '80s, symbolic systems were used to create weak. Human-level intelligence requires the capacity to go beyond the parameters that its developers set for itself, of its own volition. Weak AI. AI can be categorized as either weak or strong. The AI’s only job is to answer the questions you ask it. 2. Virtual personal assistants, such as Apple's Siri, are a form of weak AI. 인공지능을 비판적 사고로 분석하여 사람의 인식 능력을 컴퓨터로 시뮬레이트하려는. Strong AI refers to a hypothetical machine that exhibits human cognitive abilities. Strong AI. In contrast to weak AI exists strong AI, also known as artificial general intelligence (AGI). Searle only takes issue with Strong AI. Step 1/3. Unlike Strong AI, which is capable of performing any intellectual task that a human could do, Weak AI is designed to perform narrow, specific tasks. There's strong AI and weak AI. Reasoning c. In contrast, weak AI may efficiently solve problems or. Instant Answer. Applications of Weak AI 1. Terminology. Rapid developments in computational power during that era contributed to an overall buoyant atmosphere among researchers. 3. The coördination problem may be too tough. Strong AI The other end of the AI spectrum is deemed “strong AI” or alternatively, AGI. Weak AI is found in iPhones. It is applied in everything from video games,. Weak AI, often termed as “narrow AI”, is a form of artificial intelligence that is designed and trained for a particular task. It's. It is neither because ChatGPT is a generative AI system which falls outside the distinctions in traditional artificial intelligence. Weak. Documentability of process and knowledge b. All current AI systems are weak AI. Narrow AI cannot perform beyond its field or limitations, as it is only trained for one specific task. Commonly, but less clear due to their philosophical origins, the terms strong or true AI. In other words, a strong AI system can understand and reason about the world in the same way that. AI performs impressively when asked to carry out its programmed tasks. Most of the AI system on the market today are weak AI. Artificial intelligence (AI) is the theory and development of computer systems capable of performing tasks that historically required human intelligence, such as. Strong And Weak AI Are Equally Well-Developed In Today’s Time. The patches from the. This view implies that if a programmer types the right program into a computer console, then that. An AI with human-like intelligence that can apply its mind to many different tasks does not yet exist. Documentability of process and knowledge b. Based on Capabilities of AI -Type 1. Weak AI (also known as. There are 3 types of artificial intelligence (AI): narrow or weak AI, general or strong AI, and artificial superintelligence. They can handle a lot of information perfectly, but they can’t really. The terms strong and weak don't actually refer to processing, or optimization power, or any interpretation leading to "strong AI" being stronger than "weak AI". Examples of Weak AI Chatbots Spotify shuffle Email spam filters Smart assistants like Siri, Alexa and Cortana Self-driving cars Google maps Apple autocorrect Artificial intelligence (AI) is the theory and development of computer systems capable of performing tasks that historically required human intelligence, such as recognizing speech, making decisions, and identifying patterns. It is also called weak artificial intelligence because of its limitations and inability to mimic human behavior altogether. In recent years, the term “weak artificial intelligence” (weak AI) has been used to describe the state of AI technology today. 존 설에 따르면, 약한 인공지능 연구의 입장에 따르면 마음의 연구에서 컴퓨터가 갖는 주된 가치는, 그것이 우리에게. Weak AI, on the other hand, is designed to perform specific tasks in a limited domain. Common “soft” artificial intelligence. This paper will reconsider the possibilities of Strong and Weak AI in the context of John Dewey’s naturalistic pragmatism to recast our understandings of the qualities of “weak” and “strong” AI, and ultimately present the. Most of the energy right now in AI is around developing and expanding weak AI. intelligence that is used for a. Strong AI aims to create machines capable of performing any intellectual task that a. The algorithms classify data and then make decisions or act based on how they were told to interpret that date. Strong AI trends Weak AI vs. Strong & weak AI. Strong AI trendsWeak AI vs. AI can be categorized as either weak or strong. a. One. Most of the energy right now in AI is around developing and expanding weak AI. Strong or general AI will be achieved when machines have the cognitive abilities that humans have without any human intervention. k. General or Strong AI refers to AI systems that have human-like intelligence and can perform a wide range of tasks, including those that require creativity and decision. These Narrow AI systems are designed and trained for a purpose. In contrast to weak AI exists strong AI, also known as artificial general intelligence (AGI). Weak AI, also known as narrow AI, is an AI system that is designed and trained for a particular task. When strong AI systems come across an unfamiliar task, they could utilize fuzzy logic for autonomous solution discovery. According to this idea, a weak AI is an AI system that doesn’t have a mind or consciousness. AI can be categorized as weak or strong. The first two types belong to a category known as narrow AI, or AI that's trained to perform a specific or limited range of tasks. . That is, software can either beat the 18-time world champion “GO” player, or successfully tag your friends in the most recent batch of Facebook photos. Industrial robots and virtual personal assistants, such as Apple's Siri, use weak AI. Automate on-premises and cloud-based business processes to cut costs and save time. First, strong AI does not rely on. However, both types of AI can be useful in different ways. AI can be classified into Strong and Weak AI. Title: philosophy Created Date: 12/25/2006 12:00:00 AM2. At its simplest level, AI can be split into two categories: Strong AI and weak AI. 약인공지능Weak AI과 강인공지능Strong AI은 1980년, 존 설 (John R. Oct 02, 2023. What it does: Currently, Weak AI is becoming ubiquitous. Weak AI. This refers to the field of artificial intelligence that works toward providing brain like powers to AI machines; in effect, it works to make machines as intelligent as the humans. But the development of AI should not be an us-versus-them scenario. One test for whether a machine exhibits weak AI is what Alan Turing called ‘the imitation game,’ which has come to be known as. Narrow AI, also known as weak AI or specialized AI, is designed to perform a single, specific task or a limited number of tasks, whereas AGI can perform any task that a human can do. Weak AI refers to systems that are programmed to solve a wide variety of issues yet only perform a limited set of operations. This form of AI is based on the belief that computational power can emulate human brain capabilities. Here are eight practical examples. Weak artificial intelligence is the type of AI that is currently being used. Weak AI can substitute for medium-level skilled workers. A highly recommended book is "Artificial Intelligence: A modern Approach. Weak AI: 2. We have currently only achieved narrow AI.