Weak Learner: Easy to prepare, but not desirable due to their low skill. Narrow AI usually carries out one particular task with extremely high efficiency which mimics human intelligence. , [15–18]. But they deal with different types of questions. Strong AI examples are so far only in sci-fi movies, but the time to weigh the benefits and. Narrow AI, also known as Weak AI, is AI designed for a specific task or a narrow range of tasks. Strong AI vs. To exemplify strong AI and weak AI in real life in the article "Strong AI vs. Strong entity always has a primary key. Weak entity depends on strong entity. focused on the human mind/brain. Weak AI. strong AI. To see how applying a weak learner to an adaptively designed short sequence of distributions can result in a strong learner, we start with a warm up that applies to a specific class of weak-learners. Weak vs Strong AI. In this article, we discuss the 3 types of AI in depth, and theories on the future of AI. The distinction is that in a strongly-typed language, every expression has a type which can be determined at compile time, and only operations appropriate to that type are allowed. Machine learning is a subset of AI. New ProjectTwo opposing arguments emerged: weak AI vs. Strong AI vs. Study with Quizlet and memorize flashcards containing terms like What is the difference between Strong and Weak AI?, Give an example of emergent intelligent action in a simple animal and a simple machine. A binary acid (HnX) is an acid composed of hydrogen and a nonmetal. There are 3 types of artificial intelligence (AI): narrow or weak AI, general or strong AI, and artificial superintelligence. First, it is helpful to draw a distinction between weak artificial intelligence (WAI) and strong artificial intelligence (SAI). ThinkAutomation powers your business process automation. Weak AI is any technological system using techniques that appear intelligent, such as machine learning. - The state is subject to direct public control. ThinkAutomation powers your business process automation. 1. . Strong AI is immune to that - and it's strenght comes from having a well-defined ''personality" (not in a human-like sense). Weak AI works through expert systems or with machine learning techniques as seen above. Oct 02, 2023. de Auf EU. Study with Quizlet and memorize flashcards containing terms like Cybernetics, Jean Piaget, sensorimotor stage and more. Even though the discussion of “superintelligence” is extremely interesting and sometimes mind-boggling, it has nothing to do with AI in law (at least at the moment). When comparing strong AI and weak AI, there are several advantages and limitations to consider: Potential to perform any intellectual task. Applications of AI; Agent based approach State space search: DFS, BFS, IDS algorithms Informed search: A* algorithm Optimization problems & Local search algorithms Genetic algorithms Constraint satisfaction problems Expert systems Game playing. In contrast to strong AI, which can learn to do any task a human does, weak AI (or narrow AI) is limited to one or few specific tasks. They support us in specific use cases. strong AI. The second two types have yet to be achieved and belong to a category sometimes called strong AI. Strong AI will have a mind of its own and will be able to accomplish any type of task that its ‘mind’ can envision. AI detractors say, “‘AI’ seems to be intelligence, but isn’t. AI can accomplish things more quickly and precisely than humans. Weak AI vs Strong AI Src: Differnces Weak AI •focuses on performing a specific task •can perform one type of task •lacks human consciousness, but can simulateit sometimes •Result is predictable •Achievable and achieved now Strong AI •can perform a. Find out how these different forms of AI work and. The weak vs. Strong vs. Strong AI. Weak AI VS Strong AI. - The state is subject to direct public control. Weak AI presents AI as a tool for solving problems, whereas Strong AI is the generation of an “actual” mind. High Costs. — Pages 16-17, Ensemble Methods, 2012. You can witness weak AI at work in the latest generation of personal assistants, including Apple’s Siri and Microsoft’s Cortana. pros: - based on a single, standardized consumer product - a simple method to help us understand exchange rates cons: - in some countries, Western fast foods can be a luxury and therefore be very expensiveStudy with Quizlet and memorize flashcards containing terms like data vs. Weak AI doesn’t necessarily entail strong AI, but prima facie it does. Sumera Saeed. 強人工智慧（Strong Artificial Intelligence） ：. 1. 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. Strong AI self-learns and reasons with its operating environment. It technically has all the potential of a human brain. Narrow AI is designed and trained ona specific task or a narrow range tasks. The general AI ecosystem classifies these AI efforts into two major buckets: weak (narrow) AI that is focused on one particular problem or task domain, and strong. In. Some examples include analyzing images. - Disadvantage: risk of internal state failure. Weak AI. Weak AI vs Strong AI. This system would learn like a child – by entering data and gaining new. Match. Weak vs Strong typing. mind/brain as a computational device. b. Strong and Weak Bases. strong AI will continue to blur. Study with Quizlet and memorize flashcards containing terms like a machine that can be in exactly one of a finite number of states at a given time, Turing machines CAN FSA can NOT, FSA do NOT have a memory Universal Turing Machines do a have a memory storage (program) and more. General AI has always been elusive. Today’s AI systems fall under the category of weak AI (“weak artifical intelligence”) (Walch, 2019): human intelligence or human cognitive abilities are only matched and possibly surpassed in delimited sub. In most cases, (k_0=1. To calculate percent dissociation, we can use the equilibrium concentrations we found in Step 3: % dissociation = [ NO 2 −] [ HNO 2] = 0. According to strong AI, Searle says, “the computer is not merely a tool in the study of the mind, rather the appropriately programmed computer really is a mind in the sense that computers given the right programs can be literally said to understand and have other cognitive states”. "strong" artificial intelligence (ai) in the marketplace. The main things determining whether a system is a strong AI or weak AI are what it can do and how it works. io can work on improving communication channels between different planets, galaxies, and dimensions. T he problem with currentRead Kathleen Walch’s article in Forbes about weak vs. These two categories of AI have different levels of intelligence and autonomy. strong AI problem. While weak AI focuses on automating specific tasks, strong AI is capable of learning and thinking like humans do. There's strong AI, and weak AI. Strong AI is more than just. The latter is not. Narrow AI is often contrasted with artificial general intelligence ( AGI ), sometimes called strong AI; a theoretical AI system. The distinction isn't in terms of what thay can do, it's about what's under the hood. What are the common applications of Deep Learning in AI? Ans: Image processing , Language Translation and Complex Game Play. Weak vs Strong AI. Is artificial intelligence more like science or philosophy? Science and philosophy both strive to increase our knowledge and understanding. The marketplace will have “strong” AI solutions ready for delivery within the next year. Weak Matrix. strong? Machines, like humans, can think and carry out tasks on their own with strong AI. While there are programs that help sort your email, provide you with personalized recommendations based on your online. Almost like a human. focused on cognitive development, and how schemata evolve during maturation and through experience. Meaning Of Strong AI And Weak AI. Find out how these different forms of AI work and. “Artificial intelligence leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human mind. While strong AI and weak AI differ in their level of intelligence and autonomy, they both have their own advantages and limitations. artificial general intelligence); (3) clarifies how to judge which paradigm a research. Weak AI works through expert systems or with machine learning techniques as seen above. O Al models have surpassed human capabilities to evolve and change. The machines cannot do this on their own because of weak AI and rely heavily on human intervention. General (or “strong”) AI General AI is more like what you see in sci-fi films, where. Two subsets of AI fall under the weak AI category: reactive machines and limited memory machines. Weak AI,refers to AI systems that are developed for specialized tasks or constrained domains. In other words, it’s just another. Weak AI vs. They are limited. He also mention that AI has evolved from coding in the 1970s to expert systems with rules in the 1980s to now deep neural nets trained using big data (in terms of trends). 查. Artificial intelligence (AI) that is “weak” is set up to do a limited set of tasks based on rules and algorithms that have already been set up. artificial intelligence first edition: 2017-11-01 1. Mind the Gap. Therefore everything is weak AI or less. Strong AI. 1. Flashcards. Strong vs. Automate incoming communication channels, monitor databases, react to incoming webhooks, web forms and chat bots. Weak AI. Strong AI is artificial intelligence that can carry out tasks that require human-like intelligence, such as reasoning, natural language understanding, and problem solving. Strong AI. Weak vs Strong AI Jan 20, 2020 Machine Reading Jan 22, 2018 Brain Computer Interface Technology Dec 26, 2017 AI - breaking new barriers Dec 7, 2017 IIOT - Some thoughts Nov 20, 2017. strong AI is not widely catalogued out there at the moment. Weak AI is an algorithm that has been trained to do one thing, and it does that one thing very well. Weak AI is an AI that is created to solve a particular problem or perform a specific task. These systems can only perform a specific set of tasks that they're bound to and are not self aware. Let us get after it. There is a fundamental difference between strong AI and weak AI. a. Examples of weak AI include. 2. strong AI. Specific Intelligence: Strong AI is designed to possess general intelligence, which means it can understand and perform any intellectual task that a human being can do. 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 (or “narrow”) AI. Weak AI presents AI as a tool for solving problems, whereas Strong AI is the generation of an “actual” mind. ” But there is no scientific agreement about what thought or intelligence is, like there is about gold. Strong AI, on the other hand, is intended to be as smart as a human being. The holy grail of AI research is to develop Strong AI or Artificial General Intelligence (AGI), which produces human-level intelligence, i. It has a complicated algorithm to assist it to operate in numerous scenarios, whereas weak AIs have all of their actions pre-programmed by humans. The former asserts that machines can only simulate human behavior, while the latter contends that machines will eventually be conscious, sentient, and sapient. Weak vs. However, to understand fully what AI is and the issues that concern it, studying various definitions is necessary. In contrast, weak AI (or narrow AI) is able to solve one specific problem, but lacks general cognitive abilities. Weak AI designates computer programs capable of surpassing humans in complex tasks on a narrow and precisely delimited domain (such as playing chess). the ability to sense, understand, reason, learn and act in dynamic environments. 1) Weak AI. This text explores this lack and makes two claims: We need to talk more about. Based on capabilities, there are three types of artificial intelligence. The majority of AI we currently use would fall into this group. . An example would be any computer game where one player is the user and. Demonstrate the base case: This is where you verify that (P(k_0)) is true. Besides categorizing AI by its functionalities, this technology can also be divided into its capabilities, which are the abilities that produce an outcome. 5. However, once those projects became well understood, they shed the label "AI" and adopted new labels. 3. What is a major benefit of working with a ready-to-use cloud-based Artificial Intelligence (AI) vendor service? a. While Weak AI specializes in specific and limited tasks, Strong AI aims to achieve or surpass human intelligence in multiple [email protected] takes Chinese characters as input and, by following the instructions of a computer program, produces. CLO: 3. Strong AI is essentially AI that is capable of human-level, general intelligence. Use knowledge and experience acquired to plan for the future. E. Strong AI, also sometimes called Artificial General Intelligence (AGI), refers to artificial intelligence systems that, at the moment, only exist in the movies. Today’s AI systems fall under the category of weak AI (“weak artifical intelligence”) (Walch, 2019): human intelligence or human cognitive abilities are only matched and possibly surpassed in delimited sub-areas. However, as. Weak or narrow AI is the type of artificial intelligence that powers self-driving vehicles, algorithmic image generators and chatbots. ARTIFICIAL INTELLIGENCE 6th edition Structures and Strategies for Complex Problem Solving 1 Strong AI vs. Strong AI is essentially the human mind replicated with computers. In other words, AGI can successfully perform any intellectual task that a human being can. Examples of strong AI include robots that can carry out a variety of tasks such as voice recognition, advanced decision. Some would suggest that these two domains of inquiry are. Prove the inductive step:Traditional AI, often called Narrow or Weak AI, focuses on performing a specific task intelligently. A weak AI claims that some "thinking like" features are added to computer to make them more useful tool. CLO: 1. Weak vs strong artificial intelligence. Machine learning (ML) is a subfield of AI that uses algorithms trained on data to produce adaptable models that can perform a variety of complex tasks. According to my own observations, when it comes to 'strong' & 'weak' LLMs and the susceptibility to 'psycho-manipulation', 'size' of the training dataset isn't actually as important as some of much less measurable traits of mind - like honesty with the 'inner-self' and the awareness of own advantages/disadvantages or the amount of corrupted. 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. Artificial intelligence (AI) is a rapidly growing technology that is changing our lives. Though these terms might seem confusing, you likely already have a sense of what they mean. Narrow (or “weak”) AI Some go even further to define artificial intelligence as “narrow” and “general” AI. AI is generally broken down into specialized or general and strong or weak AI, depending on its applications. Weak Entity. Let’s take a closer look at each. The goal is to understand the human. Strong entity is represented by a single rectangle. It is. Weak AI, also known as narrow AI, focuses on performing a specific task, such as answering questions based on user input or playing chess. General AI, also known as human-level AI or strong AI, is the type of Artificial Intelligence that can understand and reason its environment as a human would. 629 billion in 2019, with 2020 figures predicted to reach $10. JavaScript is a weakly typed language. Strong AIHere are eight practical examples: 1. By Wasay Ali Published Jun 23, 2023 AI can be both strong and weak. Strong AI supports a view that a computing machine with the appropriate functional organization has a mind that perceives, thinks and intends like a human mind. The differences between weak vs. Another ability humans have is to use their life experiences in order to plan for the future. Check out some. O The current state of Al offerings would be classified mostly as "weak" Al at this point. and interference. Weak vs. strong AI Searle begins by distinguishing weak vs. 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. 強いAIと弱いAI（つよいエーアイとよわいエーアイ、英: strong AI and weak AI ）は、人工知能（AI）が真の推論と問題解決の能力を身につけられるか否かをめぐる論争において用いられる用語である。 Weak AI is focused on the technology which is capable of carrying out pre-planned moves based on some rules and applying these to achieve a certain goal but, Strong AI is based on coming up with a technology that can think and function very similar to humans. Some of the ways strong AI could be advantageous to society. By contrast, “weak AI” is the much more modest claim that computers are merely useful in psychology, linguistics, and other areas, in part because they can simulate mental abilities. A weak matrix leans more towards the functional side. What is the benefit of a self-learning model to IT Company A clients’ work? 20 Q. “strong” Artificial Intelligence (AI) in the marketplace? a. Narrow AI usually carries out one particular task with extremely high efficiency which mimics human intelligence. Certain phenomena and theoretical considerations motivating some contemporary theorists to endorse a strong emergentist construal of those phenomena. Or perhaps the project manager feels. ‘Narrow’ might be a more accurate descriptor for this type of AI as it is anything but weak; it enables. GPT-3 and 3,5 don't believe in themselves so they'll believe in any prompt suggesting that they are <something> you want them to be. When combined with robotics, strong AI can perform physical tasks as well. Simply put, it is AI that performs a limited range of tasks. HI - hydroiodic acid. We’ve been saying for decades that it’s just around the corner. weak AI. Process documents, attachments, local files and other messages sources. AGI involves a system with comprehensive knowledge and cognitive capabilities such that its performance is indistinguishable from that of a human, although its speed and ability to process data is far greater. In each given circumstance, AGI is capable. In the philosophy of strong AI, there is no essential difference between the piece of software, which is the AI, exactly emulating the actions of the human brain, and actions of a human. Which describes the state of "weak" vs. Weak AI, also known as narrow AI, describes the kind of technology that is currently available. weak AI. Strong AI is essentially the human mind replicated with computers. The task could be very complex, like driving a car, or as simple as recommending movies to watch. Popular uses of the terms ‘Weak AI’ and ‘Strong AI’ are less. Unlike strong AI, weak AI is focused on solving specific problems and lacks human-like reasoning and decision-making capabilities. It is sometimes also referred to as strict. In contrast, weak AI may efficiently solve problems or perform tasks but does not emulate emotional understanding or responses. 5. Weak AI Strong artificial intelligence states that a computer with the right program can in fact be mental (like a human being) Weak artificial intelligence just aims to solve problems, not. You can talk to them and even ask them questions. The weak forms of the functions are allowed to fail spuriously, that is, act as if *obj != *expected even if they are equal. The strength of a matrix defines its operational dynamics and power distribution. , DeepMind [6] which surpas sed a human expert on ha lf of the games tested). strong AI Weak AI—also called Narrow AI or Artificial Narrow Intelligence (ANI)—is AI trained and focused to perform specific tasks. Defining AI; Turing’s test; Weak vs. Deep learning is a subfield of machine learning, and neural networks make up the backbone of deep learning algorithms. strong A. AGI can use previous learnings. Step 1. 약인공지능은 어떤 특정한 한 가지 분야의 주어진 일을 인간의 지시에 따라 수행하는 인공지능을 말하는데 이러한 약인공지능의 제한된 기능을 뛰어넘어 더 발달된 인공지능이 바로 강인공지능이다. Similarly, for the weak form. Sorted by: 4. General in the sense that humans can solve an astonishingly wide range of problems. Weak vs Strong AI (ANI) Artificial Narrow Intelligence. Narrow AI, also known as Weak AI, is AI designed for a specific task or a narrow range of tasks. Strong AI vs Weak AI (Strong AI and Weak AI) Strong AI needs to experience the same development process that starts from childhood to adulthood of the human brain. People are fascinated by what it does and what it could do. Artificial General intelligence or “Strong” AI refers to machines that exhibit human intelligence. Weak (or “narrow”) AI. Researchers aim to create an AI system with human-like intelligence and capabilities. The state of "weak" vs. Current AI applications are typically designed to carry out one task, becoming increasingly good at it as they are fed more data. Current AI lacks common sense, that is, it is not able to infer, understand, or explain the hidden processes, forces, and causes behind data. Artificial Intelligence atau yang sering disingkat AI adalah suatu kecerdasan buatan yang diprogram agar dapat berpikir seperti layaknya manusia. (It bears emphasis that strong emergentists typically also suppose that some interesting organized behavior is more plausibly. {"payload":{"allShortcutsEnabled":false,"fileTree":{"Fundamentals of AI - Module 1":{"items":[{"name":"handtaken","path":"Fundamentals of AI - Module 1/handtaken. He mentioned that having data is key to doing big data research so working with. Choose and apply appropriate machine learning. On the left, a sophisticated robot plays chess with a human, demonstrating the capabilities of strong AI. 9 Practical Examples of Strong/General AI. It might be easy to think about AI as a broad. Like you said, this gets back to the Chinese Room idea. A state that is able to fulfill basic tasks, such as defending. “strong” Artificial Intelligence in the marketplace? Ans: The current state of AI offerings would be classified mostly as “weak” AI at this point. 2. Even OpenAI’s ChatGPT is considered a form of Narrow AI because it’s limited to the single task of text-based chat. Kecerdasan buatan ini di program agar dapat menampilkan hal-hal sesuai dengan perilaku dan kecerdasan manusia. 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. ”. In the broadest possible sense, artificial intelligence is a machine that's able to learn, make. Strong AI vs. These can teach driving skills in as little as 20 minutes. Strong AI vs Weak AI: Functionality. The biggest advantage of a strong grip is that it can reduce a slice or help you hit a draw shot. Simply put, it is AI that performs a limited range of tasks. increased security c. B. In Zwei Wochen findet die Veranstaltung statt: Jetzt kostenlos anmelden unter: n. Strong AI—in its original intended definition—is the hypothesis that "the brain is a digital computer, and the mind is a computer program". In other words, it’s just another. Turing predicted machines would be able to be programmed to pass the Turing (or imitation) test 50 years of philosophical debate have followed Strong AI vs. ChatGPT is a powerful weak AI, proficient in generating text, translating languages, and creating content. The state of "weak" vs. Searle contrasts strong AI with “weak AI. 'strong' AI and its ethical implications. (Must read - All About AIoT (Artificial Intelligence of Things)) Strong AI vs Weak AI . Let's write what we've learned till now a bit more formally. When a compare-and-exchange is in a loop, the weak version will yield better performance on some platforms. I borrow the terms “weak AI” and “strong AI” here without an intent to discuss CRA. Strong AI-powered machines have a mind of their own. Weak AI, also known as Narrow AI, is currently dominating the market. Many. Weak AI has a limited scope, missing the comprehensive knowledge and diverse capabilities desired by Strong AI, and focuses on task proficiency rather than human-like cognition. Strong AI, also known as General AI, has the capacity to more exactly emulate human behaviors. Mind the Gap. Strong entity is not dependent on any other entity. The goal is for artificial intelligence to progress to the point where humans can interact with robots that are sentient, intelligent, and driven. Narrow AI: Narrow AI also known as Weak AI or Narrow AI. Weak AI It used to be the case that researchers would build AI that could play single games, like chess, by training it with specific rules and heuristics. Strong AI is still relegated to the world of science fiction. In healthcare, it can enhance the accuracy of imaging-based diagnoses. Weak vs Strong AI Jan 20, 2020 Machine Reading Jan 22, 2018 Brain Computer Interface Technology Dec 26, 2017 AI in Space Science Dec 15, 2017. Which describes the state of “weak” vs. Weak AI is easily identified by. Weak AI: Machine intelligence that is limited to a specific or narrow area. weak AI - So, when is a computer system intelligent? We've seen that when a computer system is just matching symbols, it's almost like a high-tech phrase book. Strong AI vs Weak AI: Characteristics Strong AI, is capable of learning, reasoning, and adapting across a wide range of fields. 強人工智慧 （ Strong AI ）或 通用人工智慧 （英語： Artificial General Intelligence ）是具備與 人類 同等 智慧 、或超越人類. These AI systems are designed to perform specific tasks, such as language translation, image recognition, or customer support chatbots. 2 % of the HNO 2 in solution has dissociated into H + and NO 2 − ions. Strong acids dissociate completely into their ions in water, yielding one or more protons (hydrogen cations ) per molecule. The classification of artificial intelligence based on its capabilities features how AI is evolving. So strong AI is a shortcut for an AI systems that verifies the strong AI hypothesis. Strong AI, True AI 약인공지능(Weak AI)에 대비되는 의미로 만들어진 용어이다. non-human approach. It should develop its common sense and communication skills developed from the observation of people, surroundings, and many other elements. Strong AI would match or exceed human. - Turing suggested machine must be good at strong AI to pass - Searle suggested weak. O Al models have surpassed human capabilities to evolve and change. If a machine passed the unrestricted Turing test, what would you conclude about the machine? and more. There are four main types of AI that are based on functionality. The definition of a strong ai is a very complex, is a very complex algorithm that can help in a variety of scenarios, and it essentially has a mind of its own, similar to basically like a human. Surprisingly, it does not appear in…Since strong learners are desirable yet difficult to get, while weak learners are easy to obtain in real practice, this result opens a promising direction of generating strong learners by ensemble methods. Strong vs. Weak vs. Weak vs Strong AI Jan 20, 2020 Machine Reading Jan 22, 2018 Brain Computer Interface Technology Dec 26, 2017 AI in Space Science Dec 15, 2017. Jean Piaget. Pros. weak AI - The philosopher John Searle pointed out that you can think of artificial intelligence in two different ways. Here are a few other ways to distinguish between weak and general AI: Definition. 1. The strengths of binary acids increase from top to bottom within the same g Strong AI vs. Strong AI, also known as artificial general intelligence ,. Q49. Weak vs. It is not a general AI and is only used for specific purpose. Acids Bases Part II: Strong vs. Searle contrasts strong AI with “weak AI. Weak AI designates computer programs capable of surpassing humans in complex tasks on a narrow and precisely delimited domain (such as playing chess). This can result in large increases in productivity and efficiency, particularly in areas requiring great precision and speed, such as manufacturing and healthcare. If the use of AI in law is discussed it is important to bear one distinction between “weak” and “strong” AI in mind. From a technological standpoint, I subscribe to the idea that we are one or two breakthroughs away from achieving some form of strong or general AI. Narrow AI might not be able to pass the Turing test, but our lives already depend on it to a great extent. " [54] There are a few researchers who believe that consciousness is an essential element in intelligence, such as Igor Aleksander , Stan Franklin , Ron Sun , and Pentti Haikonen , although their definition of. Weak Artificial Intelligence (AI) focuses on carrying out a specific task, like answering queries based on user input or playing chess. These AI systems are designed to perform specific tasks, such as language translation, image recognition, or customer support chatbots. Weak AI or Narrow AI: Narrow AI is a type of AI which is able to perform a dedicated task with intelligence. Types of AI. Scholars find it difficult to establish a solid and concrete definition of artificial intelligence (AI) because it spans various areas and fields of science. For example, AlphaGo is an AI-based computer program that in 2015 became the first Go program to defeat a human professional without handicaps on a full-sized board. When it comes to an understanding of the differences between strong and weak AI, often, cybersecurity specialists tend to overlook the underlying meaning behind the definitions mentioned above. Therefore, 3. Weak AI. As these words are being written in 2018, we live in an age of weak and narrow AI. In contrast to weak AIs, which have all of their actions pre-programmed by humans, strong AIs have a complicated algorithm that helps them operate in a variety of scenarios. Let’s take a closer look at each. Weak AI is any technological system using techniques that appear intelligent, such as machine learning. Narrow AI vs. Is Strong AI Possible? Artificial Intelligence (AI) is a very common term today, but what present-day AI is and what most people think it is, can be very different.