Meat Machines: According to computer scientist Peter Kassan (2006), Today A.I. has splintered into three independent areas: connectionism, computationalism, and robotics. Connectionism attempts to replicate the frontal cortex, which is the part of the brain that is associated with intelligence and consciousness. The problem with this is humans are yet to come up with a detailed model of how synapses work on a neurochemical level. Without this kind of information, there is no hope of replicating a human's frontal cortex. Synapses of conscious beings are extremely variable. Even extremely simple creatures such as worms have nervous systems that are too complex to model. Because Connectionism seems implausible, the focus has shifted toward computationalism. Andy Clark (2014), a cognitive psychologist, describes how a physical symbol system is able to generate general intelligent behavior. A symbol system allows a program to use a set of interpretable and combinable symbols to generate greater meaning. Programs can process these symbols by combining, cutting, copying or destroying them based on a set of instructions. The third area of AI, Robotics operates within two branches, cybernetics, and computerized robotics which is more advanced. Computerized robots are computer-programmed machines capable of carrying out a complex series of actions automatically.
What Is Intelligence & Does A.I. Have It?: Chat GTP is one of the most complex language processing models we have seen so far. Its program uses a mixture of connectionist and computationalist technology. But its abilities don’t come close to those of the human brain. Which brings us to the question: What is intelligence, and have we created it within technology just yet? The answer is sort of complicated…A.M. Turing would suggest that we need a different definition of intelligence when considering technology. Turing believes that AI and humans are both intelligent, but in very different ways. Human intelligence comes from our ability to apply our knowledge and experience to a wide range of situations. We are innovative and great at making predictions without all of the information given to us. Conversely, AI is intelligent because it has the ability to take given input and run it through complex algorithms to produce the desired response (Turing, 1950). Technology can produce accurate results to complex problems but only when given very specific instructions.
What Is Consciousness?: This brings us to consciousness. Which seems to be a golden standard of recreating human intelligence. Clark (2014) outlines how consciousness involves self-awareness, qualia, verbal reporting, intentional action, and simple awakeness. Some would argue that a physical symbol system within a machine, similar to how Chat GTP operates, could lead to a system that is conscious. However, John Searle proposed a thought experiment to refute this argument. The Chinese room thought experiment describes how An English speaker deciphering and creating responses to Chinese prose by following certain rules would have no real understanding of Chinese. Essentially, consciousness goes beyond information, substance and experience are important.
Extended Mind: Is the Mind simply contained within our skull? Or can things we rely on for memory, such as notes in our phones, also be considered part of our minds? Maybe consciousness can’t extend outside of the skull, but Clark (2014) would argue that cognition can extend outside of the brain, this is known as the extended mind theory. Vygotsky's work focused on investigating the way that children learn from outside forces, scaffolding their knowledge and thinking. With this idea at its root, "Clark started musing about the ways in which even adult thought was often scaffolded by things outside the head," (MacFarquhar, 2018). There are plenty of things that adults are not capable of doing without outside tools, such as a pen or a calculator. Clark is a strong believer that our mind extends to the world around us. Showing us that AI could be considered not only a tool but a part of cognition.