Artificial Intelligence atau yang sering disingkat AI adalah suatu kecerdasan buatan yang diprogram agar dapat berpikir seperti layaknya manusia. It has the ability to take in data and put it into action. 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 (general) AI that. Driving a car that operates on its own, stops at signals, maneuver difficult roads, and turns on its own can be a dream in the past, but it is a reality in the future. In any given case, AGI can think, comprehend, and behave in a manner that is distinct from that of a person. In other words, AGI can successfully perform any intellectual task that a human being can. . ARTIFICIAL INTELLIGENCE 6th edition Structures and Strategies for Complex Problem Solving 1 Strong AI vs. Presentation Transcript. What it does: Currently, Weak AI is becoming ubiquitous. Real artificial intelligence is about building minds, which consists of consciousness, imagination, perception, thinking, judgment, language and memory. Weak entity depends on strong entity. 5. Strong AI not only emulates human-like decision-making but also has the potential to comprehend emotions and exhibit emotional responses. The majority of AI we currently use would fall into this group. Some would suggest that these two domains of inquiry are. According to Taylor. It aids in proliferating information and data sources, improving software's data management capabilities, and designing intricate and. Artificial intelligence (2) Flashcards. 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). Both forms of AI replicate human thought, but they differ in the degree to which their functions are directly the result of prior programming. Strong AI must go through the same developmental process that now the human brain goes through from life course. In this article, we discuss the 3 types of AI in depth, and theories on the future of AI. Super AI will surpass human intellect to accomplish any task better than its human counterparts. The AI you know is "weak" AI, but the AI many fear is "strong. Definition and History of AI: The old vs the new definition of AI, Leibniz, Turing, Licklider, ‘The AI Effect’, ‘AI Summer vs AI Winter’ Related Concepts: Machine learning, Deep learning, Neural networks, Big Data, Robotics, Singularity, Superintelligence, Internet of Things, Weak vs Strong AI, Symbolic vs Subsymbolic AIConsciousness plays an important role in debates around the mind-body problem, the controversy over strong vs. Equation 3: The stationarity condition. Examples include object-oriented programming, speech recognition, robot motion planning, facial recognition and. What are the common applications of Deep Learning in AI? Ans: Image processing , Language Translation and Complex Game Play. Weak AI is characterised by a machine. Sumera Saeed. Strong AI is artificial intelligence that can carry out tasks that require human-like intelligence, such as reasoning, natural language understanding, and problem solving. Automate incoming communication channels, monitor databases, react to incoming webhooks, web forms and chat bots. The integration of Artificial Intelligence in museums has sparked a debate over 'weak' vs. Types of artificial intelligence—weak AI vs. Strong AI. mind/brain as a computational device. In many situations it may not be desirable to have a balance of power. Scientific theoretic reasons could withstand the. Whereas strong AI is not fully implemented or testable yet, so it is only really fantasized. Weak AI, also known as narrow AI, describes the kind of technology that is currently available. 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. So strong AI is a shortcut for an AI systems that verifies the strong AI hypothesis. Searle, who created the terms "Strong AI" and "Weak AI", explains it best in the Chinese Room argument, which I'm sure you've read, but I'll just clarify it here:Searle envisions a room in which a person is stYou’re probably familiar with the term ‘artificial intelligence’, but do you know the difference between strong AI and weak AI? Strong AI is able to. The concept of weak and strong AI emanates from Searle’s objection to the argument put forward by the proponents of the idea that the relation between the brain and the body of a human being is identical in many respects to the relation between the hardware and the software of AI and MC. Written by Eban Escott. - The state lacks basic ability to fulfill tasks. Strong AI would be. In each given circumstance, AGI is capable. Artificial Intelligence (AI) is an umbrella term for computer software that mimics human cognition in order to perform complex tasks and learn from them. strong AI. strong AI. Strong AI vs. AI models have surpassed human capabilities to evolve and change. strong artificial intelligence (AI). Strong AI vs. 3 Q. According to Strong AI, these computers really play chess intelligently, make clever moves, or understand language. Weak AI presents AI as a tool for solving problems, whereas Strong AI is the generation of an “actual” mind. As an AI language model, I can offer suggestions on how Neural. You might have seen examples of strong AI in sci-fi movies like Wall-E, Big Hero 6, The Terminator, Vision from Marvel, etc. g. Whereas weak AI is constrained in the type of tasks it can perform, strong AI can learn new skills to solve any problem. 10 Strong Examples of Artificial Intelligence 2021. Well so basically there are two types of AI: weak AI and strong AI ( also can say applied AI and general AI ). This would be an example of strong AI. artificial intelligence first edition: 2017-11-01 1. 4. b. The Total Turing Test aims to be a more modern test which requires a much more sophisticated system. Let’s take a closer look at each. 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. What it does: Currently, Weak AI is becoming ubiquitous. Find out how these different forms of AI work and. Weak AI is less ambitious than strong. Weak AI works through expert systems or with machine learning techniques as seen above. 400 M × 100 % = 3. In fact, deep learning, which is named after (and often compared to) the human brain, is very limited in its capabilities and is nowhere near to performing the kind. When researching artificial intelligence, you might have come across the terms “strong” and “weak” AI. Weak Acids. Read Kathleen Walch’s article in Forbes about weak vs. k. In any given case, AGI can think, comprehend, and behave in a manner that is distinct from that of a person. It’s smart at what it’s designed for but doesn’t have general intelligence or understanding like humans. Weak Entity. The AI applications we see all around us are weak AI: driving aids and. Weak AI vs. Weak AI drives most of the AI that surrounds us today. Weak AI vs Strong AI. e. The major difference between weak and strong AI is that weak AI is programmed to perform a single task. The goal is to understand the human. Let's write what we've learned till now a bit more formally. Similarly, for the weak form. 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. As research and innovation continue in the field of artificial. You can witness weak AI at work in the latest generation of personal assistants, including Apple’s Siri and Microsoft’s Cortana. What’s the Difference Between Weak and Strong AI? | Machine Design. Simply put, it is AI that performs a limited range of tasks. decreased barrier to entry 8. 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. Weak AI Intelligence is tricky to define, which is why AI experts typically distinguish between strong AI and weak AI. It can develop better technologies for interplanetary communication to help. Weak AI refers to the kinds of artificial intelligence that we’re used to in our day-to-day lives. de Auf EU-Ebene sollen [email protected] strengths of binary acids increase from left to right within the same period. - Disadvantage: risk of internal state failure. This is essentially the human vs. We have currently only achieved narrow AI. Weak vs Strong AI (ANI) Artificial Narrow Intelligence. What is the benefit of a self-learning model to IT Company A clients’ work? 20 Q. A fully working AI would decide the best compounds to make; offer potential pathways to create them; pick the correct pathway design to acquire the requisite titres, rates and yield; and review experimental data to. One more important demand lies in the root of uniting all these characteristics. Artificial Intelligence atau yang sering disingkat AI adalah suatu kecerdasan buatan yang diprogram agar dapat berpikir seperti layaknya manusia. nadinelll. JavaScript is a weakly typed language. Weak AI. While Weak AI has current practical applications, Strong AI is still in development and poses significant technical and ethical challenges. Strong AI self-learns and reasons with its operating environment. O Al models have surpassed human capabilities to evolve and change. 1. Deep learning is a subfield of machine learning, and neural networks make up the backbone of deep learning algorithms. c. Weak vs Strong AI. However, many AI researcher have pursued the aim of developing artificial intelligence that is in principle identical to human intelligence, called strong AI. Reasoning is a core trait that divides artificial intelligence. Dalam arti lain, AI merupakan sistem komputer yang dapat melakukan. 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. Strong AIHere are eight practical examples: 1. Examples of strong AI include robots that can carry out a variety of tasks such as voice recognition, advanced decision. Artificial intelligence is the overarching system. Learn. This may sound silly, but wouldn't any programmed AI be a weak AI by definiton? I mean, even neural network simulations produce answers by following blind rules, but its the best model of the human brain we've conceived so far. 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. ARTIFICIAL INTELLIGENCE | Part-4 | Strong and Weak. Another way that we use to divide the different types of artificial intelligence is by categorizing them as weak and strong, also known as narrow and general. While strong AI and weak AI differ in their level of intelligence and autonomy, they both have their own advantages and limitations. What are the types of artificial intelligence? AI can be broadly classified into two: Narrow AI: This type of AI is also referred to as “weak AI”. Strong entity always has a primary key. Strong AI would match or exceed human. From all the philosophical debates surrounding AI, none is more important that the weak vs. Strong AI· Machine learning, neural networks, and deep learning· Natural language processing and computer visionEssential AI Tools and Platforms· TensorFlow and PyTorch· IBM Watson· OpenAI· Microsoft Azure Cognitive Services· Google Cloud AI Real-World AI Applications· Healthcare: Diagnostics and personalized medicine. Artificial intelligence has a broad range of ways in which it can be applied — from chatbots to predictive analytics, from. 3D Printing & CAD. - The state lacks basic ability to fulfill tasks. The problem with these definitions is that. Doing is sometimes referred to. He talked about weak vs strong AI and that technology we have today is weak AI. In contrast, weak AI (or narrow AI) is able to solve one specific problem, but lacks general cognitive abilities. Strong AI—in its original intended definition—is the hypothesis that "the brain is a digital computer, and the mind is a computer program". To calculate percent dissociation, we can use the equilibrium concentrations we found in Step 3: % dissociation = [ NO 2 −] [ HNO 2] = 0. 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. Study with Quizlet and memorize flashcards containing terms like Who was AI coined by?, Linking AI to psychology, Describe the Turing test for AI and more. 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”. Oct 02, 2023. · Strong AI will have a mind of its own to be able to. · Weak AI. ThinkAutomation powers your business process automation. The goal is for artificial intelligence to progress to the point where humans can interact with robots that are sentient, intelligent, and driven. It refers to systems designed to respond to a particular set of inputs. Weak AI is like a prodigy whose talent in one domain surpasses average human. When researching artificial intelligence, you might have come across the terms “strong” and “weak” AI. To exemplify strong AI and weak AI in real life in the article "Strong AI vs. of human intelligent behavior, whereas strong AI, in seeking to engineer a computational system with all the causal power of a mind, focuses on the ontological ” [12]. Weak AI. Boosting is based on the question posed by Kearns and Valiant (1988, 1989): "Can a set of weak learners create a single strong learner?" A. 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. Artificial Intelligence is a method of making a computer, a computer-controlled robot, or a software think intelligently like the human mind. However, from a philosophical standpoint there are still several challenges. . These AI systems are designed to perform specific tasks, such as language translation, image recognition, or customer support chatbots. 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. Thinking here refers to real thinking, not just simulated. Examples would be AI such as Siri, Alexa, and utility AI such as Panopto or YouTube AI automatically typing closed captions for videos. Artificial Intelligence (AI) and Weak vs. Written by Eban Escott. The AI applications we see all around us are weak AI: driving aids and. Narrow AI, also known as Weak AI, is AI designed for a specific task or a narrow range of tasks. Weak AI, also known as Narrow AI, is currently dominating the market. Strong AI. Weak (or “narrow”) AI. Artificial general intelligence (AGI), also known as strong AI or deep AI, refers to the idea of a machine with general intelligence that can learn and apply its intelligence to solve every problem. Strong vs. Searle contrasts strong AI with “weak AI. Artificial intelligence (AI) is a fixture of modern conversations. Terminology. A diphthong is a sound formed by two vowels in a single syllable. For instance, a project may be so important to the company, or the budget and schedule so tight that top management feels that the project manager must be in a very strong position. Strong AI vs. Yet, synthetic companions like Star Trek’s Commander Data are still. Current AI models can adapt on their own across domains of data, without intervention. Abstract. Weak vs. High Costs. Rather than trying to mimic the intelligence and emotional capabilities of humans, weak AI focuses on developing intelligence to perform a. The marketplace will have “strong” AI solutions ready for delivery within the next year. Weak AI is known as a system that is designed to solve an array of problems within predefined sets of rules and functions. Strong artificial intelligence can perform any task a human can do. The claim that weak AI is possible is the claim that machines could simulate the. In healthcare, it can enhance the accuracy of imaging-based diagnoses. Weak vs. ARTIFICIAL INTELLIGENCE | Part-4 | Strong and Weak. Strong artificial intelligence (strong AI) is an artificial intelligence construct that has mental capabilities and functions that mimic the human brain. The state of "weak" vs. Weak AI, also known as narrow AI, focuses on performing a specific task, such as answering questions based on user input or playing chess. “strong” Artificial Intelligence (AI) in the marketplace? a. Weak AI. Strong AI vs Weak AI: Characteristics Strong AI, is capable of learning, reasoning, and adapting across a wide range of fields. Weak AI is any technological system using techniques that appear intelligent, such as machine learning. Kecerdasan buatan ini di program agar dapat menampilkan hal-hal sesuai dengan perilaku dan kecerdasan manusia. Advantages of Strong AI. 7. Strong AI is different from. Image created by DALL-E 3 Weak vs. strong AI. Strong AI vs. strong artificial intelligence (AI). In the spirit of Searle's definition of weak and strong artificial intelligence, this paper presents a discussion on weak com-putational creativity in swarm intelligence systems. 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. These AI systems are designed to perform specific tasks, such as language translation, image recognition, or customer support chatbots. 1. An AGI system could perform any task that a human is capable of. The ability to create a machine that can simulate human intelligence is no small feat. 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. Q49. Weak vs Strong typing. He is considered the father of Artificial Intelligence in computer science and psychology. It could tackle any problem or task in. According to this idea, a weak AI is an AI system that doesn’t have a mind or consciousness. Next, generative model-based reinforcement learning algorithms were developed. decreased computing power b. We have currently only achieved narrow AI. Commonly divided into two categories, strong and weak, PUFs have their strength classified by the number of challenge-response pairs (CRPs) that a single device can generate. The machines cannot do this on their own because of weak AI and rely heavily on human intervention. Strong AI can tackle diverse problems and develop new approaches to solve the task, while Weak AI can only accomplish specific problem reasoning and solving tasks. These Narrow AI systems are designed and trained for a purpose. strong AI. 编. General (or “strong”) AI General AI is more like what you see in sci-fi films, where. See related discussions in e. The former asserts that machines can only simulate human behavior, while the latter contends that machines will eventually be conscious, sentient, and sapient. Although it lacks human-like understanding and problem-solving abilities, it shows promise in bridging the. 2. See related discussions in e. Strong AI. Weak AI: Understanding their fundamental differences" with subsections on autonomous systems such as robots and advanced chatbots for strong AI, and virtual assistants and recommender systems for weak AI. Another classic way that PUFs are classified is in terms of the strength of their implementation. 3 mins read Exploring the key differences between Strong AI and Weak AI and future potential in AI Strong AI and Weak AI are two intriguing fields of artificial. It requires plenty of time and resources and can cost a huge deal of money. " [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. Unlike strong AI, weak AI is focused on solving specific problems and lacks human-like reasoning and decision-making capabilities. CLO: 2. Strong entity is represented by a single rectangle. 'Weak' AI, also known as narrow AI, is designed to perform. Weak AI targets a specific task where analyzing large amounts of data assists in problem solving. In other words, it’s just another. Weak AI: Understanding their fundamental differences" with subsections on autonomous systems such as robots and advanced chatbots for strong AI, and virtual assistants and recommender systems for weak AI. - Weak state. Also, strong AI has a list of demands to work correctly. Artificial Intelligence, or AI, is increasingly becoming a part of our everyday lives, even if we don't always know it. Flashcards. strong? Machines, like humans, can think and carry out tasks on their own with strong AI. 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. Weak artificial intelligence (or ‘narrow’) relies on programmed responses to simulate intelligence, often with a specific task in mind. 2. Terms in this set (12) What is intelligence? - Intelligence testing (like WM span testing) mostly concerned with differences in intellectual ability4 main types of artificial intelligence. . . 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. The issue is similar with bases: a strong base is a base that is 100% ionized in solution. Quote:Original post by IndigoDarkwolfThis may sound silly, but wouldn't any programmed AI be a weak AI by definiton? I mean, even neural network simulations produce answers by following blind rules, but its the best model of the human brain we've conceived so far. Strong vs. HCl - hydrochloric acid. Artificial general intelligence (AGI) is the representation of generalized human cognitive abilities in software so that, faced with an unfamiliar task, the AI system could find a solution. It is sometimes also referred to as strict. Others, though, would claim there is a distinct difference. Artificial Intelligence (AI) and Weak vs. 1) Weak AI. Unlike strong AI or artificial general intelligence (AGI), which aims to replicate human-level intelligence across a wide range of tasks, weak AI is designed to excel in a limited set of predefined. 3. Strong AI systems will have their consciousness, sentience, etc ( say having brains just like that of humans). In contrast, weak AI may efficiently solve problems or perform tasks but does not emulate emotional understanding or responses. Strong AI has a complex algorithm that helps it act in different situations, while all the actions in weak AIs are pre-programmed by a human. Strong and Weak Bases. The opposite of general AI is narrow AI. Narrow or Weak AI. Pros. Strong AI vs. weak AI - The philosopher John Searle pointed out that you can think of artificial intelligence in two different ways. In Spanish, diphthongs can be formed by combining a strong vowel (a, e, or o) and a weak vowel (i or u), or by combining two weak vowels. strong AI Searle begins by distinguishing weak vs. Strong AI. On the other hand, Strong AI possesses multifunctional capabilities, enabling it to perform a wide range of tasks. e. Automate incoming communication channels, monitor databases, react to incoming webhooks, web forms and chat bots. Efficiency. 1. Current AI models can adapt on their own across domains of data, without intervention. The study and design of machines that perform intelligent tasks. First, it is helpful to draw a distinction between weak artificial intelligence (WAI) and strong artificial intelligence (SAI). 2 % of the HNO 2 in solution has dissociated into H + and NO 2 − ions. Weak AI is easily identified by. In this video, see the difference between strong and weak artificial intelligence. Weak Vs. strong AI argument became popular at universities in the 1980s, when philosophy professor John Searle critiqued the Turing test (named after British mathematician Alan Turing), which. The differences between weak vs. General (or “strong”) AI General AI is more like what you see in sci-fi films, where. weak AI. Automate on-premises and cloud-based business processes to cut costs and save time. Is artificial intelligence more like science or philosophy? Science and philosophy both strive to increase our knowledge and understanding. When a weak compare-and-exchange would require a loop and a strong one would not, the strong one is preferable. Strong entity always has a primary key. 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. It should develop its common sense and communication skills developed from the observation of people, surroundings, and many other elements. Yet another classification of AI is Weak vs. More For You ☄. Siri, Amazon’s Alexa and IBM Watson are examples of Narrow AI. Weak or narrow AI is the type of artificial intelligence that powers self-driving vehicles, algorithmic image generators and chatbots. Weak vs strong AI. Weak AI VS Strong AI. 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. Strong AI aims to replicate human-like cognitive abilities across a wide range of tasks. 3. (Also known as Functionalism (philosophy) or the Computational theory of mind ). . Based on Capabilities of AI -Type 1. Two methods to do this: Intersection search– • The notion that spreading activation out of two nodes and finding their intersection finds relationships among objects. 15. Two subsets of AI fall under the weak AI category: reactive machines and limited memory machines. AI models have surpassed human capabilities to evolve and change. Narrow AI might not be able to pass the Turing test, but our lives already depend on it to a great extent. 1. Weak vs. Strong AI vs. 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. This view implies that if a programmer types the right program into a computer console, then. Weak AI refers to the kinds of artificial intelligence that we’re used to in our day-to-day lives. Weak vs strong AI? Click the card to flip 👆 Weak AI: operate in pre-determined contexts -> machines merely ACT as if they are intelligent Strong AI: have (self)consciousness, free will, agency, intentionality -> machines actually ARE intelligentWeak AI vs strong AI vs Autonomous Artificial Intelligence. non-human approach. This is the kind of AI that we currently have. Reinventing Creative and Real-World Applications With Gen AI. Weak vs. - Disadvantage: risk of internal state failure. strong AI problem. Strong acids dissociate completely into their ions in water, yielding one or more protons (hydrogen cations ) per molecule. There’s AI that can beat the world chess champion in chess, but that’s the only thing it does. These systems can only perform a specific set of tasks that they're bound to and are not self aware. D. Narrow (or “weak”) AI Some go even further to define artificial intelligence as “narrow” and “general” AI. ” According to. Many of the individuals who discuss it often specify weak vs. distributions and gives a strong learner. d. "strong" Artificial Intelligence in the marketplace can be described as follows: Step 2/3 1. , Describe the Turing Test. In a nutshell, Strong AI is essentially a type of artificial intelligence that is advanced enough to be considered true intelligence. Let’s take a closer look at each. It technically has all the potential of a human brain. Its applications are very specific. iocan help in realizing the plan of God 1=I AM. Which describes the state of “weak” vs. Quote: Original post by MDI Well, yes, it does. He mentioned that having data is key to doing big data research so working with. If a machine passed the unrestricted Turing test, what would you conclude about the machine? and more. The current state of AI offerings would be classified mostly as “weak” AI at this point. strong? Machines, like humans, can think and carry out tasks on their own with strong AI. 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. An example. Weak AI refers to systems that are programmed to solve a wide variety of issues yet only perform a limited set of operations. Match. 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. There are technical differences between AI systems, and the first of these is what is known as Weak AI and Strong AI. Let us get after it. It is applied in everything from video games, to. Human intervention is necessary for weak AI to interpret the parameters of its understanding algorithms and to obtain the necessary training data to ensure. Artificial General Intelligence (AGI), also known as Strong AI, is today nothing more than a theoretical concept. Or perhaps the project manager feels. Weak Entity. 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. The machines cannot do this on their own because of weak AI and rely heavily on human intervention. Which describes the state of “weak” vs. Weak vs. So, the applications of Weak AI make the humans feel that the machines are acting. Characteristics: Strong AI possesses human-like intelligence, self-awareness, and consciousness, while weak AI is designed to perform a specific set of tasks within a. " [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. Strong AI examples are so far only in sci-fi movies, but the time to weigh the benefits and. How long.