Essay on Artificial Intelligence

One of the hottest topics that modern science has been focusing on for a long time is the field of artificial intelligence, the study of intelligence in machines or, according to Minsky, “the science of making machines do things that would require intelligence if done by men”.(qtd in Copeland 1). Artificial Intelligence has a lot of applications and is used in many areas. “We often don’t notice it but AI is all around us. It is present in computer games, in the cruise control in our cars and the servers that route our email.” (BBC 1). Different goals have been set for the science of Artificial Intelligence, but according to Whitby the most mentioned idea about the goal of AI is provided by the Turing Test. This test is also called the

The purpose of this paper is to bring to light a fresh new perspective of Artificial Intelligence or simply (AI). There have been numerous endeavours to make artificial intelligence which is inclusive of frontiers such as neural network, evolution theory, and so forth, not forgetting that a number of current issues have found solutions in the application of these concepts, the case still remains that each theory only covers a certain isolated aspect of human intelligence. To date, he gap that stands between a human being and an artificial intelligence agent still remains unabridged. In this paper an extrapolated version of artificial intelligence shall be discussed which will be augmented by emotions and the plausibility of inheriting a neural architecture from one generation to the next in a bid to make artificial intelligence to compare to the natural behaviour and intelligence of human

The use of computers has pervaded the life of every human being. At every street corner there are

Clearly, today’s AI appears nothing like its original intent. When the initial concept arose, humanity believed that technology could “replicate” the human mind. Those working with AI soon discovered this prediction to be impossible. Instead, these machines operate under their own form of thinking. With this new ideology, a cornucopia of digital wonders began to sprout around the world. Today, humanity relies on AI. Such technology is “embedded” into the lives of everyday

The merging of the human mind and artificial intelligence, it will help solve problems that have forever plagued society, such as crime, violence, racism, wars and unequal distribution of wealth. Technologies will allow us to strengthen our brains with non-biological materials to a degree that at the moment that we cannot imagine. Some engineers and fiction writers have envisioned aspects of a future that is now becoming the present. Some had utopian takes, others dystopian; both are evident in the intriguing benefits and cautionary challenges we face.

In Minds, Brains, and Programs, John Searle provided various counterarguments to the proposition that strong artificial intelligence is similar to human cognition and that machines are able to have similar cognitive experiences as humans, such as having intentions, as long as it has the right program. The purpose of this article was to demonstrate opposing approaches, which outlined that the theory of strong AI is flawed. The author did this by providing examples of how to disqualify the support for the theoretical perspective that machines, even though they have the appropriate programming, still cannot understand as humans do. Through various explanations and replies to the arguments, Searle makes his point and give examples of the promises.

In the video “A Changing Culture of Creativity” by Howard Gardner, Gardner discusses the evolution; one could also say the possible devolution, of creativity in the world today and why we need to change the way we analyze. He points out that many young people have become followers in todays ever-changing technological world as opposed to the pioneers of creativity, like those we have seen in the past. Creativity needs to be nurtured and it must we must harness the use of the technology that connects us to do so.

Two words that we all think we know fairly well are the words ‘artificial’ and ‘intelligence’. When asked, people will suggest that ‘artificial’ can be defined as fake, phony, not real, or made-up. When asked what ‘intelligence’ means, people will suggest the word being defined as smart, having knowledge, or being capable of certain or many tasks. Though when these words are brought together, it becomes unclear as to what these words mean, and what it means for something to be “artificially intelligent.”

Every year technology advances and one of the most questionable advancements is artificial intelligence. Artificial intelligence isn’t necessarily new but it has expanded greatly the past few years. I will first explain what artificial intelligence is and the Turing Test. Finally, I will discuss Turing and Searle’s views about the Turing Test and who has the stronger argument.

Rene Descartes’ “Discourse on the Method” focuses on distinguishing the human rationale, apart from animals and robots. Wherein, he does so by explaining how neither animals, nor machines possess the same mental faculties as humans. For Descartes distinguishes the human rationale apart from non-humans, even though he does agree the two closely resemble each other because of their sense organs, and physical functions (Descartes, pp22). Nevertheless, it is because the mechanical lacks a necessary aspect of the mind, which consequently separates them from humans. For in Descartes “Discourse on the Method,” he argues that the noteworthy difference between humans, and the mechanical is that machines are only responding to the world through of their sense organs. Whereas humans possess the significant faculties of reasoning, which allows them to understand external inputs and information obtained from the surrounding environment. This significantly creates a dividing ‘line’, which separates humans from non-humans. For in this paper, I will firstly distinguish the differences between the human and mechanical’s mentality in regards to Descartes “Discourse on the Method”. Secondly, I will theorize a modern AI that could possess the concept of an intellectual mind, and then hypothesize a powerful AI that lacks the ability to understand its intelligence. Lastly, in disagreeing in why there are no such machines that is equivalent to the human mind. For humans don’t possess all the

However, this reliance on technology does not necessarily preclude the creativity that marks the human species. The prior examples reveal that technology allows for

Artificial Intelligence is a topic within the public media that has existed for decades, but is now a concern due to the reality of human advancement and innovation in the field of science and technology. Many people believe that computers will become self-aware or sentient and view humanity as a disposable resource and gain supremacy. Reasoning that research on the technology should halt and not become more advance. Whereas others believe they will help catapult research and the economy forward, supporting the operations and innovations the technology offers. The complicated and divided solutions to the debate aren’t obvious, but there are more benefits to improving artificial intelligence than there is stopping it. Therefore, the negative effects people believe will occur can be resolved.

Computers are taking more and more jobs and this trend will accelerate as we approach technological singularity. This is the event “when computers will attain human-level intelligence” Natalie Wolchover states. The singularity is projected to arrive sometime around 2030 -2040, but it could occur sooner depending on how computer technology develops. Wolchover states:

would have to carry a complete map of the world that the machine will encounter.

In the future, we may be able to build a computer that is comparable to the human brain, but not until we truly understand one thing. Lewis Thomas talks about this in his essay, "Computers." He says, "It is in our collective behavior that we are most mysterious. We won't be able to construct machines like ourselves until we've understood this, and we're not even close" (Thomas 473). Thomas wrote this essay in 1974, and although we have made many technological advances