weak AI - The philosopher John Searle pointed out that you can think of artificial intelligence in two different ways. Artificial intelligence (AI) is a fixture of modern conversations. People are fascinated by what it does and what it could do. Artificial general intelligence (AGI), also known as strong artificial intelligence (AI) or deep artificial intelligence (AI), is the idea of a machine with general intelligence that mimics human intelligence and/or behaviors, with the ability to learn and apply its intelligence to solve any problem. 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. Super AI will surpass human intellect to accomplish any task better than its human counterparts. 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. The standards for what constitutes artificial intelligence have shifted as computers have advanced, and the line between weak vs. Strong artificial intelligence can perform any task a human can do. It should hone its common decency and communication abilities by observation of people, the environment, and a variety of other factors. Whereas strong AI is not fully implemented or testable yet, so it is only really fantasized. ” According to. In this section of the book we will list and point some of the most influential people in the computer revolution. General AI has always been elusive. Both forms of AI replicate human thought, but they differ in the degree to which their functions are directly the result of prior programming. k. Digital voice assistants (Siri, Alexa) Often referred to as the best examples of weak AI, digital voice assistants such as Siri and Alexa are examples of weak. These can teach driving skills in as little as 20 minutes. decreased barrier to entry 8. Narrow AI cannot comprehend the context, but AGI does. The machines cannot do this on their own because of weak AI and rely heavily on human intervention. Strong: truly intelligent, conscious machine Weak: Machine that can mimic some aspect of human intelligence without real understanding. Which describes the state of "weak" vs. It is applied in everything from video games, to. This includes perceptual tasks, such as vision and. Strong 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. is a subset of machine learning that. These Narrow systems performs their designated tasks but mainly lack in the ability to generalize tasks. Strong entity is not dependent on any other entity. The claim that weak AI is possible is the claim that machines could simulate the behavior of beings like us which have mental states. Is Strong AI Possible? Artificial Intelligence (AI) is a very common term today, but what present-day AI is. While Weak AI specializes in specific and limited tasks, Strong AI aims to achieve or surpass human intelligence in multiple areas. 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. Which describes the state of weak vs. 5. 4. It should develop its common sense and communication skills developed from the observation of people, surroundings, and many other elements. Artificial Intelligence (AI) and Weak vs. Strong AI not only emulates human-like decision-making but also has the potential to comprehend emotions and exhibit emotional responses. Weak vs 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. 9 Practical Examples of Strong/General AI. If you want to learn more about AI and. strong AI will continue to blur. In other words, weak AI is the type of. Check out some. 2. 629 billion in 2019, with 2020 figures predicted to reach $10. 1) Weak AI. Strong AI is still relegated to the world of science fiction. ‘Narrow’ might be a more accurate descriptor for this type of AI as it is anything but weak; it enables. Learn. increased security c. There are very few strong bases (Table (PageIndex{1})); any base not listed is a weak base. 1. strong AI Weak AI—also called Narrow AI or Artificial Narrow Intelligence (ANI)—is AI trained and focused to perform specific tasks. Weak AI works through expert systems or with machine learning techniques as seen above. Kecerdasan buatan ini di program agar dapat menampilkan hal-hal sesuai dengan perilaku dan kecerdasan manusia. 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. {"payload":{"allShortcutsEnabled":false,"fileTree":{"Fundamentals of AI - Module 1":{"items":[{"name":"handtaken","path":"Fundamentals of AI - Module 1/handtaken. Strong AI—artificial intelligence that is in all respects at least as intelligent as humans—is still out of reach. In a nutshell, Strong AI is essentially a type of artificial intelligence that is advanced enough to be considered true intelligence. Weak AI or Narrow AI: Narrow AI is a type of AI which is able to perform a dedicated task with intelligence. Test. He talked about weak vs strong AI and that technology we have today is weak AI. Weak Learner: Easy to prepare, but not desirable due to their low skill. What are the common applications of Deep Learning in AI? Ans: Image processing , Language Translation and Complex Game Play. Q49. Weak AI has to be distinguished from “strong” AI, also known as artificial general intelligence (AGI) or “deep” AI. Strong AI must go through the same developmental process that now the human brain goes through from life course. Weak AI specializes in a particular task, like answering user questions or playing chess. Strong AI employs a philosophy of mind. Meaning Of Strong AI And Weak AI. Examples include object-oriented programming, speech recognition, robot motion planning, facial recognition and. When a diphthong is made up of a strong vowel and a weak vowel, the strong vowel is stressed a bit more than the weak vowel. Weak vs Strong AI. distributions and gives a strong learner. Weak AI presents AI as a tool for solving problems, whereas Strong AI is the generation of an “actual” mind. However, it is impossible to. 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. Weak AI works through expert systems or with machine learning techniques as seen above. Smart cars. Strong AI is essentially the human mind replicated with computers. Strong AI vs Weak AI. See related discussions in e. strong AI. Artificial Intelligence was an important development in the early decades of this century. Some would suggest that these two domains of inquiry are. Some of you may be confused. Weak AI vs. Weak Vs. Dalam arti lain, AI merupakan sistem komputer yang dapat melakukan. As an AI language model, I can offer suggestions on how Neural. strong AI, the Turing test, the Chinese room experiment, learned biases, ethical issues. The problem with these definitions is that. Weak vs strong artificial intelligence Weak artificial intelligence (or ‘narrow’) relies on programmed responses to simulate intelligence, often with a specific task in mind. See related discussions in e. General in the sense that humans can solve an astonishingly wide range of problems. Strong AI Doesn't Exist. From all the philosophical debates surrounding AI, none is more important that the weak vs. 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. You can witness weak AI at work in the latest generation of personal assistants, including Apple’s Siri and Microsoft’s Cortana. Weak AI vs. 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 | Part-4 | Strong and Weak. Weak AI. Weak AI drives most of the AI that surrounds us today. In any given case, AGI can think, comprehend, and behave in a manner that is distinct from that of a person. b. The opposite of general AI is narrow AI. To calculate percent dissociation, we can use the equilibrium concentrations we found in Step 3: % dissociation = [ NO 2 −] [ HNO 2] = 0. 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. A strong grip promotes a shallow angle of attack and makes. Strong AIStep 4: Calculate percent dissociation. Artificial Intelligence (AI) is an umbrella term for computer software that mimics human cognition in order to perform complex tasks and learn from them. . 지능의 행동적 실용적 관점 (behaviouristic and pragmatic view of intelligence) 을 연구하기 위해 소프트웨어를 사용하는 것 Weak or narrow artificial intelligence (AI) is what we encounter daily today. Weak AI • Artificial intelligence can be classified into two categories: strong AI and weak AI • Strong AI: – Can pass the Turing Test – Has an intelligence that matches or exceeds that of human beings • Weak AI: Strong AI possesses human-like intelligence, self-awareness, and consciousness, while weak AI is designed to perform a specific set of tasks within a narrow domain and does not possess these characteristics. “strong” Artificial Intelligence in the marketplace? 19. As these words are being written in 2018, we live in an age of weak and narrow AI. strong AI. Narrow AI: Narrow AI also known as Weak AI or Narrow AI. 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 each given circumstance, AGI is capable. The opposite of strong AI is weak AI. The current state of AI offerings would be classified mostly as “weak” AI at this point. 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. Strong AI, also sometimes called Artificial General Intelligence (AGI), refers to artificial intelligence systems that, at the moment, only exist in the movies. Which describes the state of “weak” vs. 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. Match. Strong vs. What it does: Currently, Weak AI is becoming ubiquitous. "strong" Artificial Intelligence in the marketplace can be described as follows: Step 2/3 1. In healthcare, it can enhance the accuracy of imaging-based diagnoses. Weak AI. Here are a few other ways to distinguish between weak and general AI: Definition. I borrow the terms “weak AI” and “strong AI” here without an intent to discuss CRA. Some examples include analyzing images. Artificial intelligence has a broad range of ways in which it can be applied — from chatbots to predictive analytics, from. Strong AI. the ability to sense, understand, reason, learn and act in dynamic environments. By Wasay Ali Published Jun 23, 2023 AI can be both strong and weak. D. A strong AI claims that computers can be made to think on a level at least equal to humans. Weak AI is characterised by a machine. Weak Acids. We have currently only achieved narrow AI. "strong" artificial intelligence (ai) in the marketplace. O The current state of Al offerings would be classified mostly as "weak" Al at this point. Strong PUFs . Is artificial intelligence more like science or philosophy? Science and philosophy both strive to increase our knowledge and understanding. Therefore, 3. Find out how these different forms of AI work and. Weak vs strong AI. The second two types have yet to be achieved and belong to a category sometimes called strong AI. Similarly, for the weak form. dedicated infrastructure d. Types of AI. The main things determining whether a system is a strong AI or weak AI are what it can do and how it works. It aids in proliferating information and data sources, improving software's data management capabilities, and designing intricate and. Narrow AI vs. a. Weak vs. 2. 5. In contrast, weak AI may efficiently solve problems or perform tasks but does not emulate emotional understanding or responses. AI detractors say, “‘AI’ seems to be intelligence, but isn’t. Super AI is a system that’s intellectually superior to humans. The weak vs. Strong Artificial Intelligence. 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. 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. Artificial General intelligence or “Strong” AI refers to machines that exhibit human 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. Weak AI vs Strong AI. 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. The former asserts that machines can only simulate human behavior, while the latter contends that machines will eventually be conscious, sentient, and sapient. The ability to create a machine that can simulate human intelligence is no small feat. “strong” Artificial Intelligence in the marketplace? Ans: The current state of AI offerings would be classified mostly as “weak” AI at this point. Robots from films such as I, Robot or in the series Westworld exemplify the extreme sides of AGI. At its most extreme strong AI aims to create an artificial consciousness. Weak AI VS Strong AI. 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. So, for example, a computer chess program or a system that was able to compose interesting music. This text explores this lack and makes two claims: We need to talk more about. 2 %. It’s smart at what it’s designed for but doesn’t have general intelligence or understanding like humans. 4 Q. All the AI that’s available today can be. Automate on-premises and cloud-based business processes to cut costs and save time. However, some academic sources reserve the term "strong AI" for computer programs that experience sentience or consciousness. Strong AI systems will have their consciousness, sentience, etc ( say having brains just like that of humans). Here, we differentiate between the two primary variations and discuss finding the right balance. All AI systems that we know today are based on 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). Something that can say, and really mean in the way that humans do, that it. 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. 术语. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. 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). A. . 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. Test. CLO: 2. Strong AI is essentially the human mind replicated with computers. Weak 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. He is considered the father of Artificial Intelligence in computer science and psychology. Weak vs strong AI. 15. Flashcards. These AI systems are designed to perform specific tasks, such as language translation, image recognition, or customer support chatbots. Use knowledge and experience acquired to plan for the future. 2 % of the HNO 2 in solution has dissociated into H + and NO 2 − ions. The opposite of general AI is narrow AI. 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. Although it lacks human-like understanding and problem-solving abilities, it shows promise in bridging the. artificial general intelligence); (3) clarifies how to judge which paradigm a research. Once people know the difference between strong AI and weak AI, they’ll be well-equipped to learn from and contribute to the… What Is the Definition of Strong AI? Also known as artificial general intelligence (AGI), strong AI can communicate and reason like humans. Researchers aim to create an AI system with human-like intelligence and capabilities. HF, HCl, H2S, H2S etc. Strong AI vs. In other words, the technology is not actively thinking for itself. Weak vs Strong AI; Intro to Large Models for vision and language; AI4Science applications; Current LLVMs and failures; Class overview, homeworks, grading policy; Pietro Georgia Slides - Part A by Pietro: pdf;. This is the most common definition of stationarity, and it is commonly referred to simply as stationarity. You can talk to them and even ask them questions. Strong AI vs. Weak AI vs. It requires plenty of time and resources and can cost a huge deal of money. The major difference between weak and strong AI is that weak AI is programmed to perform a single task. Weak AI, on the other hand, is quite attainable due to the way it defines intelligence. Weak vs. 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. This is the video tutorial#02 for Artificial Intelligence complete course from beginner to advanced level. 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. Artificial intelligence has a broad range of ways in which it can be applied — from chatbots to predictive analytics. . Automate incoming communication channels, monitor databases, react to incoming webhooks, web forms and chat bots. In the broadest possible sense, artificial intelligence is a machine that's able to learn, make. There are two types of AI; narrow/weak and general/strong. According to this idea, a weak AI is an AI system that doesn’t have a mind or consciousness. In other words, weak AI is the type of. In machine learning, boosting is an ensemble meta-algorithm for primarily reducing bias, and also variance in supervised learning, and a family of machine learning algorithms that convert weak learners to strong ones. A state that is able to fulfill basic tasks, such as defending. 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. Weak vs. New ProjectTwo opposing arguments emerged: weak AI vs. High Costs. These Narrow systems performs their designated tasks but mainly lack in the ability to. Anything a Strong AI can do a Weak AI can do too. Demonstrate the base case: This is where you verify that (P(k_0)) is true. 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. This is the kind of AI that we currently have. Others, though, would claim there is a distinct difference. Strong AI would match or exceed human. . Weak Artificial Intelligence (AI) simulates human cognition and benefits mankind by automating time-consuming tasks and. Process documents, attachments, local files and other messages sources. 強人工智慧（Strong Artificial Intelligence） ：. When a diphthong is made up of a strong vowel and a weak vowel, the strong vowel is stressed a bit more than the weak vowel. Weak AI is any technological system using techniques that appear intelligent, such as machine learning. ) Step 2. According to Taylor. strong AI. Comparative Analysis of Strong and Weak AI. But how do these two technologies differ? Readers like you help support MUO. AI used in the legal industry. · Weak AI. If a machine passed the unrestricted Turing test, what would you conclude about the machine? and more. Strong AI—in its original intended definition—is the hypothesis that "the brain is a digital computer, and the mind is a computer program". Current AI models can adapt on their own across domains of data, without intervention. Weak vs strong artificial intelligence. iocan help in realizing the plan of God 1=I AM. Weak AI vs Strong AI 개념. In addition to doing the job it was designed for, strong AI could theoretically develop its own goals, just like a human. Weak AI ECE 847: Digital Image Processing Stan Birchfield Clemson University The coming takeover The coming singularity The singularity The prediction: Soon, we will build computers with greater-than-human intelligence Soon, we will be able to upload our consciousness To prepare: Google and NASA are throwing their weight behind a new. 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. 2. Deep learning is a subfield of machine learning, and neural networks make up the backbone of deep learning algorithms. AI Model: Narrow AI uses fixed domain models that are programmed. Strong AI. [5] As opposed to. Weak Vs Strong Method WM: Focused towards the technology which is capable of carrying out pre planned moves based on some rules and applying it to achieve goals SM: Based on coming up with a technology that can think and function similar to humans Application of weak method makes humans feel that machines are acting. It can perform one type of. 4. When a compare-and-exchange is in a loop, the weak version will yield better performance on some platforms. AI hypothesis, strong form: an AI system can think and have a mind (in the philosophical definition of the term); AI hypothesis, weak form: an AI system can only act like it thinks and has a mind. The usual distinction is that strong AI, also known as artificial general intelligence, refers to systems that can perform arbitrary tasks requiring intellect, whereas a weak AI is only able to perform specific intellectual tasks. This view implies that if a programmer types the right program into a computer console, then. Weak AI, also known as artificial narrow intelligence (ANI), refers to AI systems designed to perform a particular intelligent task. How long. artificial intelligence first edition: 2017-11-01 1. - The state is subject to direct public control. The outcome of these studies develops intelligent software and systems. 2. 529 billion. 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). General AI. Strong AI would be. Strong AI-powered machines have a mind of their own. Strong AI - machine consciousness Even if machines can be made to act as if they are intelligent (weak AI), “real” machine intelligence must have consciousness (strong AI) The machine must be aware of its own mental state and actions, be aware of its own beliefs, desires and intentions Turing rejected this requirement, because we do notArtificial intelligence as it is used today is considered “weak AI,” because it is generally designed to perform just one or two specific tasks as well as, and often better than, humans. Advantages of Strong AI. Read Kathleen Walch’s article in Forbes about weak vs. io can work on improving communication channels between different planets, galaxies, and dimensions. Some of the ways strong AI could be advantageous to society. Most of what we experience in our day-to-day lives is narrow AI, which performs a single task or a set of closely related tasks. Also known as artificial general intelligence (AGI) and strong AI, general artificial intelligence is a type of AI that can think and function just as humans do. “strong” Artificial Intelligence (AI) in the marketplace? a. Weak AI. When researching artificial intelligence, you might have come across the terms “strong” and “weak” AI. Weak AI is an AI that is created to solve a particular problem or perform a specific task. August 13, 2019 • Shannon Flynn Advertisements Artificial intelligence (AI) is a fixture of modern conversations. Strong AI vs. 10 Strong Examples of Artificial Intelligence 2021. 15. Its applications are very specific. Strong AI vs Weak AI: Which does ChatGPT fall under? At the moment, all AI are weak or narrow AI. In this video, see the difference between strong and weak artificial intelligence. It can perform one kind of task but not the other. Based on Capabilities of AI -Type 1. 2. Strong AI. On the left, a sophisticated robot plays chess with a human, demonstrating the capabilities of strong AI. In many situations it may not be desirable to have a balance of power. We can agree that all AI developed today is weak. Strong Emergence: Contested Phenomena. While a weak entity has a partial discriminator key. On the other, within the singularity narrative, the latter follows on and from the former, i. In other words, it’s just another. 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. These AI systems are designed to perform specific tasks, such as language translation, image recognition, or customer support chatbots. Russell and Norvig agree: "Most AI researchers take the weak AI hypothesis for granted, and don't care about the strong AI hypothesis. Artificial Narrow Intelligence (ANI): Sometimes referred to as Weak AI, Artificial Narrow Intelligence is AI that specializes in one area. Pros. To exemplify strong AI and weak AI in real life in the article "Strong AI vs. The marketplace will have “strong” AI solutions ready for delivery within the next year. This line of thought led him to develop the original formulation of the difference between weak versus strong AI. What is AI? The formal definition of AI is the simulation of human intelligence processed by computers. 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. It is sometimes also referred to as strict. weak AI - The philosopher John Searle pointed out that you can think of artificial intelligence in two different ways. It might be easy to think about AI as a broad. The weak forms of the functions are allowed to fail spuriously, that is, act as if *obj != *expected even if they are equal. Strong AIHere are eight practical examples: 1. Weak AI presents AI as a tool for solving problems, whereas Strong AI is the generation of an “actual” mind. As research and innovation continue in the field of artificial. This system would learn like a child – by entering data and gaining new. 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. Current AI applications are typically designed to carry out one task, becoming increasingly good at it as they are fed more data. The differences between weak vs. Artificial Intelligence atau yang sering disingkat AI adalah suatu kecerdasan buatan yang diprogram agar dapat berpikir seperti layaknya manusia. Sorted by: 4. Q49. Weak vs. When you make a. for T⊂ℤ with n∈ℕ and any τ∈ℤ. It’s smart at what it’s designed for but doesn’t have general intelligence or understanding like humans. In most cases, (k_0=1. Popular uses of the terms ‘Weak AI’ and ‘Strong AI’ are less. When researching artificial intelligence, you might have come across the terms “strong” and “weak” AI. Examples of weak AI include. If it operates like a human and isn’t bound to completing one specific task, it’s strong AI. Strong AI examples are so far only in sci-fi movies, but the time to weigh the benefits and. Well so basically there are two types of AI: weak AI and strong AI ( also can say applied AI and general AI ). As it turns out, 'weak & strong AI' is already used by the experts but it deals mostly with multimodality and/or multi-tasking, with 'weak AI' being capable of handling only one type of tasks and 'strong AI' being capable to handle multiple different tasks similarly to a human - I think however that my use of those terms seems to be more. The claim that weak AI is possible is the claim that machines could simulate the. In other words, AGI can successfully perform any intellectual task that a human being can. A real-life example that pushes the boundaries between weak and. Weak AI is less ambitious than strong. The holy grail of AI research is to develop Strong AI or Artificial General Intelligence (AGI), which produces human-level intelligence, i. Defining AI; Turing’s test; Weak vs. When combined with robotics, strong AI can perform physical tasks as well. Weak AI. The main things determining whether a system is a strong AI or weak AI are what it can do and how it works. This debate shapes the future of AI research. 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.