Well, that opens another can of worms, though it is pretty much the case that most would agree that ML/DL is still a âcomputer programâ in the meaning of even the 1980s expression, so, if you buy into the argument that any use of or a variant of computer programs is insufficient to arrive at thinking AI, we are still in the doom-and-gloom state of affairs. Weak AI is the thinking focused towards the development of technology capable of carrying out pre-planned moves based on some rules and applying these to achieve a certain goal. Weak artificial intelligence Weak artificial intelligence (weak AI) is an approach to artificial intelligence research and development with the consideration that AI is and will always be a simulation of human cognitive function, and that computers can only appear to think but are not actually conscious in any sense of the word. To insiders of AI, todayâs AI applications are narrow AI, and not yet AGI (Artificial General Intelligence) systems, which is yet another term that is being used to get around the fact that âAIâ has been watered down as terminology and used for anything that people want to say is AI, meanwhile, others are striving mightily to get to the purists’ version of AI, which would be AGI. Once people know the difference between strong AI and weak AI, theyâll be well-equipped to learn from and contribute to the⦠True self-driving cars are ones where the AI drives the car entirely on its own and there isnât any human assistance during the driving task. His categories are as follows: He says this: âOn the argument advanced here only a machine could think, and only very special kinds of machines, namely brains and machines with internal causal powers equivalent to those of brains. This brings up another definitional consideration. There is not yet a true self-driving car at Level 5, which we donât yet even know if this will be possible to achieve, and nor how long it will take to get there. Or, if you prefer, you can state it as weak versus strong AI (itâs Okay to be listed in either order, yet still has the same spice, as it were).Â. AI systems today cannot undertake or showcase common-sense reasoning, which I believe we all agree that humans generally have (for those snickering about humans having or not having common-sense reasoning, yes, there are people that we know that seems to at times lack common-sense, but thatâs not the same as what overall is considered common-sense reasoning and donât conflate those two into meaninglessness). Artificial intelligence (AI) is a fixture of modern conversations. But even in the days of the steam engine some devices did more than simple work. Weak AI. It has the potential to benefit society by automating time-consuming tasks and by analyzing data in ways that humans sometimes can’t. Perhaps we ought to heed the words of William Shakespeare: âWords without thoughts never to heaven go.â. Weak AI: Machine intelligence that is limited to a specific or narrow area. Have we progressed past the old-time computer programs and advanced into whatever ML/DL is, such that we no longer seemingly have this albatross around our neck that computer programs arenât the rocket ship that can get us to this desired moon? Examples of Weak AI: Virtual personal assistants, such as Appleâs Siri, Amazonâs Alexa, are a form of weak AI. Examples of AI-based technology include self-driving cars, smart homes, pattern-recognition systems, and any technology that uses deep learning. This consists of two heavy balls on the end of spinning arms. It is the most sophisticated chess AI in the world, able to beat every other AI and human player in existance. Letâs see what Searle said about defining the terminology of weak AI: âAccording to weak AI, the principal value of the computer in the study of the mind is that it gives us a very powerful tool. d) All of the above e) None of the above Weak AI is nowhere near matching human intelligence, and it ⦠All the AI we have created to date can be classified as weak AI. They might appear to have strong AI—machine intelligence equivalent to human intelligence—but they really only have weak AI. Strong AI: Strong Artificial Intelligence (AI) is a type of machine intelligence that is equivalent to human intelligence. At the time when this debate first flourished, computer programs generally meant hand-crafted coding using both conventional and somewhat unconventional programming languages, exemplified by programs such as ELIZA by Weizenbaum and SHRDLU by Winograd. For example, consider a driverless car that miscalculates the location of an oncoming vehicle and causes a deadly collision. Artificial intelligence generally falls under two broad categories: Narrow AI: Sometimes referred to as "Weak AI," this kind of artificial intelligence operates within a limited context and is a simulation of human intelligence. If youâve read much about AI in the popular press, the odds are that youâve seen references to so-called strong AI and so-called weak AI, and yet both of those phrases are used wrongly and offer misleading and confounding impressions. Practitioners of AI might see this whole discussion about weak AI and strong AI as academic and much ado about nothing. At best, it is a crude and extremely simplified simulation, usually deploying Artificial Neural Networks (ANNs), way below anything approaching a human biological equivalent. 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