Analysis Of Allison Berke's Future Of Artificial Intelligence

When someone brings up the term “artificial intelligence”, a variety of connotations tend to arise, connotations that often are unfair or unrepresentative of the true real-world applications of such a term. Due to the incidentally fear-mongering nature of the media, artificial intelligence can refer to something as basic as a robotic arm in a factory, as well as the implied extinction and/or enslavement of the human race as caused by robo-revolution. As of today, however, when applied in the world of modern technology, artificial intelligence is defined as any innovation that performs a task usually completed by humans. Of course, with this definition, artificial intelligence holds the potential for both societal harm and benefit, and its fate

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

Artificial intelligence and robotics are growing to become increasingly influential in our society. With new technology always comes new concerns however, with this particular technology, there are much greater concerns than any event in history. Artificial intelligence has presented dangers such as a loss of employment across all job spectrums, an exponentially increased wage gap in which there are a select few who hold the majority of the wealth and the rest are impoverished, and the mere fact that the magnitude of knowledge that would be acquired in incomprehensible to humans. The main reason AI is so threatening is its ability to teach itself to improve, this is known as machine learning. Through all the contrasting arguments on the implications of these new technologies, one common fact can be agreed on by supporters and resisters alike: artificial intelligence in inevitable, it is coming, no one truly knows when and how but the fact remains that, eventually, artificial intelligence will be integrated with society as we know it.

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

What the author finds truly disturbing, however, is the threat of our brains being replaced by artificial intelligence. As the creators of Google admitted, their ultimate goal is to give people access to all the information available on the Internet by connecting their brains to artificial intelligence system. For Carr, such ambition suggest that intelligence can be boiled down to a mechanical process that will leave no place for critical thinking, creativity and personal reflection.

Artificial intelligence has been progressing over the past two decades. AI is becoming smarter, faster, and more complex every day. Not quit as complex as the human brain and nervous system. When we reach a point where AI is more complex than us it’s hard to predict such outcome of something greater than the human biology. I have been asked to conduct an interview on advanced AI. You would think a computer major or professor would be the best option, but really someone who understands; human evolution, philosophy, and the brain would be a much more qualified person of interest to understand. I chose Anton Ford who is Assistant Professor in Philosophy

Society today is greatly influenced by technology and the impact it has had within the past 20 years. One of the largest breakthroughs, though, is Artificial Intelligence (A.I.). The technology associated with A.I. has greatly developed in the past years, and is only making devices smarter. When someone mentions technology, or even the technological breakthroughs the world has gone through recently, many people go straight to smartphones and computers. A.I. is often overlooked, or put into a general category of "technology". Yet, artificial intelligence is something that should we not be so quick to dismiss, and should be something that gets people talking and even excited for what the future holds.

This paper addresses the controversies surrounding technological singularity, whether it is a possibility in the future or simply an overly ambitious/grandiloquent idea/fiction. The topic has been a household debate specially since the recent advances in Artificial Intelligence (i.e. Google’s prototype for driverless cars). On one hand, Artificial Intelligence (AI) enthusiasts and optimists suggest that technological singularity (TS) is inevitable, owing to the emulation of the human mind. They also credit the ‘exponential growth’ of progress in this field to be a key factor. While on the other hand, there are skeptics, that argue that this progress has its limits and will meet its end soon enough. They reason that emulating an extraordinarily

In the New York Times article, “Is Artificial Intelligence Taking Over Our Lives?” they introduce the topic if whether or not our lives will soon revolve around technology at every corner that we see worldwide, whether it being robotic cops to robotic doctors. Introduced in this article were 3 main debaters over the topic being for and against the idea that our artificial intelligence & its growth is a good or bad idea.

Throughout its history, artificial intelligence has always been a topic with much controversy. Should human intelligence be mimicked? If so, are there ethical bounds on what computers should be programmed to do? These are a couple of question that surround the artificial intelligence controversy. This paper will discuss the pros and cons of artificial intelligence so that you will be able to make an educated decision on the issue.

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.

The concept of artificial intelligence was first labeled by a man named Alan Turing in 1950, he believed that the future would hold the possibility for man to communicate with computers and sustain a conversation (Atkinson, Solar 1). Although, we have reached the point where it is possible to hold a simple preprogrammed conversation with a computer and give them the ability to learn, there is still a long way to go in making computers fully artificially intelligent. Atkinson and Solar continue to describe some real world applications of artificial intelligence such as, “Data mining technologies, fraud detection, and industrial-strength optimization” (8). In these examples, forms of artificial intelligence like cognitive reasoning abilities are already being used making the demand for them higher.

To progress as a society, we must first look back at all the hardships faced throughout the years. We must look at the world leaders who were able to convince entire countries to eliminate millions of people different than themselves. We must understand the groups of extremists spreading terror and fear across the globe, and we must control people in power abusing their positions to benefit themselves and their agendas. Instead of ignoring these human mistakes, we must break them down and figure out how they could happen. Artificial Intelligence relies on our abilities to learn from our mistakes and mold our future in a way that will be beneficial and equal to all people. This paper will present the many benefits that A.I. will give

lot of benefits and disadvantages, which would increase in the coming years. Artificial Intelligence would be beneficial to humans because we have a lot to improve upon in our society. Artificial Intelligence would be a great asset, but it should be treated with caution.

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.