The Pros And Cons Of The Turing Test

Alex Hern’s text “AI bot ChatGPT stuns academics with essay-writing skills and usability” gives us an insight into how the author feels about AI. He makes claims as well as his evidence are clear and can be read about in the following paragraphs. In one of his claims, Hern expresses his concern for people potentially losing their jobs to AI. He mentions that ChatGPT, an OpenAI foundation by Elon Musk, has “stunned onlookers with its writing ability, proficiency at complex tasks, and ease of use” (Hern).

Allen Mangan Section 11 Ms. Cara Dees 10-1-14 Explanatory Synthesis What does it mean to be truly intelligent? Is intelligence simply book smarts, an understanding of facts, or the ability to graduate with honors from a prestigious university? Or is intelligence something much deeper and personal? Authors David Foster Wallace and Mike Rose both address the topic of intelligence in their writing, and they speak to this very question.

Blade Runner (1982) explores the dystopia where replicants of humans are manufactured to explore off world colonies. These replicants created are almost exactly like humans possessing the same physical appearance and intellect as any other human. Replicants like Rachael are implanted with memories taken from an actual biological mind and this results in her behaving almost exactly like a human despite these emotions and memories being man made. We then are left to wonder whether machines and computer programming can replace the human mind. Rachael is able to feel emotions and act upon them, but does this signify that she has a mind of her own?

This narrows down the playing field a good bit farther, eliminating most species of animals that exist today. Intelligence can be described and defined using many different interpretations, but a simple one that will suffice our purpose is thus: “the comparative level of performance of a system in reaching its own objectives” (Kaplan). The Monster in Frankenstein definitely shows evidence of having objectives and achieving them. After discovering fire and what uses it may have, the Monster says, “’I busied myself in collecting a great quantity of wood, that I might dry it, and have a plentiful supply of fire’” (Shelley 99).

Standardized intelligence testing has been one of psychology’s ultimate achievements. “Intelligence tests are psychological tests that are designed to measure a variety of mental functions, such as reasoning, comprehension, and judgment.” ("Intelligence tests," n.d.) They can help diagnose knowledgeable disabilities or measures a person’s knowledgeable potential. Alfred Binet was the first French Psychologist who created the first intelligence test in the 1900s.

1. Predictive software is the most crucial tool to ensure that the new tools work as intended. The staff would be able to enter how much time is saved using this tool, the speed at which it works, its cost, its accuracy and all the other variables associated with it. The predictive analysis will then be able to determine a forecasted model of the possibility(s) with an accepted level of reliability. This will allow them to ensure the new IT tool is solving the problems they intended, without having any outside repercussions.

Thus, the CR proves that computers cannot understand language. Furthermore, my argument supports Searle’s (1980) claim that computers cannot explain human cognition, as they cannot attain knowledge for they are incapable of intelligence. It is impossible for a computer to explain human cognition when it is incapable of performing those very same abilities. Therefore, strong artificial intelligence is

In his essay “Minds, Brains, and Programs”, John R. Searle argues that a computer is incapable of thinking, and that it can only be used as a tool to aid human beings or can simulate human thinking, which he refers to as the theory of weak AI (artificial intelligence). He opposes the theory of strong AI, which states that the computer is a mind and can function similarly to a human brain – that it can reason, understand, and be in different cognitive states. Searle does not believe a computer can think because human beings have programmed all the functions it is able to perform, and that computers can only compute (transform) the information it is given (351ab¶1). Searle clarifies the meaning of understanding as he uses it by saying that an

Based upon the analysis, Parnas’ article is geared more towards people involved in the field of Artificial Intelligence where Eldridge’s article is geared towards people who are not necessarily knowledgeable about Artificial Intelligence yet are interested to learn more about the topic. Throughout the article, Parnas maintains the skeptical attitude towards Artificial Intelligence, literally ending with “Devices that use heuristics to create the illusion of Intelligence present a risk we should not accept” (Parnas, 6). Eldridge on the other hand, maintains a positive attitude throughout the article despite the shortcomings of AI. Together, both authors provide compelling arguments for and against Artificial

What is intelligence? Can true intelligence even be measured? The theory is that certain tests can measure such intelligence and intellectual achievement. Testing in education and physically, is an attempt to measure a person’s knowledge, or other characteristics in a systematic way. Also, teachers give test to find the certain abilities students possess and tell whether they have learned the subject (“Testing”181).

WHAT IS INTELLIGENCE? There has been many debates as well as

“Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think we’ll augment our intelligence” (Rometly, G.). Artificial intelligence are high-tech machines and computer systems that obtain the ability to learn human intelligence and characteristics with the imperfect data or information that people feed the computers and machines. When artificial intelligence is thought of, individuals immediately conclude that the definition of artificial intelligence are robots with human characteristics as well as other computers far more technical than ordinary everyday computers. This definition is not necessary wrong, but it is not correct either.

Artificial Intelligence is the field within computer science to explain some aspects of the human thinking. It includes aspects of intelligence to interact with the environment through sensory means and the ability to make decisions in unforeseen circumstances without human intervention. The beginnings of modern AI can be traced to classical philosophers' attempts to describe human thinking as a symbolic system. MIT cognitive scientist Marvin Minsky and others who attended the conference

Rise of Artificial Intelligence and Ethics: Literature Review The Ethics of Artificial Intelligence, authored by Nick Bostrom and Eliezer Yudkowsky, as a draft for the Cambridge Handbook of Artificial Intelligence, introduces five (5) topics of discussion in the realm of Artificial Intelligence (AI) and ethics, including, short term AI ethical issues, AI safety challenges, moral status of AI, how to conduct ethical assessment of AI, and super-intelligent Artificial Intelligence issues or, what happens when AI becomes much more intelligent than humans, but without ethical constraints? This topic of ethics and morality within AI is of particular interest for me as I will be working with machine learning, mathematical modeling, and computer simulations for my upcoming summer internship at the Naval Surface Warfare Center (NSWC) in Norco, California. After I complete my Master Degree in 2020 at Northeastern University, I will become a full time research engineer working at this navy laboratory. At the suggestion of my NSWC mentor, I have opted to concentrate my master’s degree in Computer Vision, Machine Learning, and Algorithm Development, technologies which are all strongly associated with AI. Nick Bostrom, one of the authors on this article, is Professor in the Faculty of Philosophy at Oxford University and the Director at the Future of Humanity Institute within the Oxford Martin School.

The attraction of artificial intelligence for me lies in its breadth of applicability, both as a method of problem solving in itself and in a symbiotic integration with other areas of computer science. A broad spectrum of applications exist within the artificial intelligence field, ranging from intelligent non-player controlled characters in computer game software to a ubiquitous computing solution that intelligently reacts to a variety of users. This diversity is one of the main reasons that I feel compelled to pursue artificial intelligence further. While I have striven to develop my understanding of artificial intelligence during my undergraduate education, the choreographed requirements of a bachelor's degree have restricted my research to only a minute sample of artificial intelligence’s applications. During my exposure to the field, I have often been unsatisfied with the level of interaction artificial intelligence displays in response to prompts of varying complexity.