scholarly journals Dickens and Science Fiction: A Study of Artificial Intelligence in Great Expectations

2010 ◽  
Vol 0 (10) ◽  
Author(s):  
Pete Orford
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Great Expectations

Living machines in our cultural imagination

2018 ◽  
Author(s):  
Michael Szollosy
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Public Perceptions ◽  
Human Condition ◽  
Cultural Imagination ◽  
The Public ◽  
The Enlightenment ◽  
The Future ◽  
Public Imagination ◽  
The Human Condition

Public perceptions of robots and artificial intelligence (AI)—both positive and negative—are hopelessly misinformed, based far too much on science fiction rather than science fact. However, these fictions can be instructive, and reveal to us important anxieties that exist in the public imagination, both towards robots and AI and about the human condition more generally. These anxieties are based on little-understood processes (such as anthropomorphization and projection), but cannot be dismissed merely as inaccuracies in need of correction. Our demonization of robots and AI illustrate two-hundred-year-old fears about the consequences of the Enlightenment and industrialization. Idealistic hopes projected onto robots and AI, in contrast, reveal other anxieties, about our mortality—and the transhumanist desire to transcend the limitations of our physical bodies—and about the future of our species. This chapter reviews these issues and considers some of their broader implications for our future lives with living machines.

Guest Editorial: Artificial Intelligence in the E&P Industry: What Have We Learned So Far and Where to Next?

2021 ◽  
Vol 73 (01) ◽  
pp. 12-13
Author(s):  
Manas Pathak ◽  
Tonya Cosby ◽  
Robert K. Perrons
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Oil Recovery ◽  
Oil And Gas ◽  
Autonomous Systems ◽  
Oil And Gas Industry ◽  
Human Judgment ◽  
Gas Industry ◽  
The Media ◽  
And Function

Artificial intelligence (AI) has captivated the imagination of science-fiction movie audiences for many years and has been used in the upstream oil and gas industry for more than a decade (Mohaghegh 2005, 2011). But few industries evolve more quickly than those from Silicon Valley, and it accordingly follows that the technology has grown and changed considerably since this discussion began. The oil and gas industry, therefore, is at a point where it would be prudent to take stock of what has been achieved with AI in the sector, to provide a sober assessment of what has delivered value and what has not among the myriad implementations made so far, and to figure out how best to leverage this technology in the future in light of these learnings. When one looks at the long arc of AI in the oil and gas industry, a few important truths emerge. First among these is the fact that not all AI is the same. There is a spectrum of technological sophistication. Hollywood and the media have always been fascinated by the idea of artificial superintelligence and general intelligence systems capable of mimicking the actions and behaviors of real people. Those kinds of systems would have the ability to learn, perceive, understand, and function in human-like ways (Joshi 2019). As alluring as these types of AI are, however, they bear little resemblance to what actually has been delivered to the upstream industry. Instead, we mostly have seen much less ambitious “narrow AI” applications that very capably handle a specific task, such as quickly digesting thousands of pages of historical reports (Kimbleton and Matson 2018), detecting potential failures in progressive cavity pumps (Jacobs 2018), predicting oil and gas exports (Windarto et al. 2017), offering improvements for reservoir models (Mohaghegh 2011), or estimating oil-recovery factors (Mahmoud et al. 2019). But let’s face it: As impressive and commendable as these applications have been, they fall far short of the ambitious vision of highly autonomous systems that are capable of thinking about things outside of the narrow range of tasks explicitly handed to them. What is more, many of these narrow AI applications have tended to be modified versions of fairly generic solutions that were originally designed for other industries and that were then usefully extended to the oil and gas industry with a modest amount of tailoring. In other words, relatively little AI has been occurring in a way that had the oil and gas sector in mind from the outset. The second important truth is that human judgment still matters. What some technology vendors have referred to as “augmented intelligence” (Kimbleton and Matson 2018), whereby AI supplements human judgment rather than sup-plants it, is not merely an alternative way of approaching AI; rather, it is coming into focus that this is probably the most sensible way forward for this technology.

scholarly journals Me, My Bot and His Other (Robot) Woman? Keeping Your Robot Satisfied in the Age of Artificial Emotion

Robotics ◽  
2018 ◽  
Vol 7 (3) ◽  
pp. 44 ◽  
Author(s):  
Rebekah Rousi
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Science Fiction ◽  
Sexual Partners ◽  
Sex Robots ◽  
Artificial Emotions ◽  
The Future ◽  
The Relationship ◽  
And Robotics

With a backdrop of action and science fiction movie horrors of the dystopian relationship between humans and robots, surprisingly to date-with the exception of ethical discussions-the relationship aspect of humans and sex robots has seemed relatively unproblematic. The attraction to sex robots perhaps is the promise of unproblematic affectionate and sexual interactions, without the need to consider the other’s (the robot’s) emotions and indeed preference of sexual partners. Yet, with rapid advancements in information technology and robotics, particularly in relation to artificial intelligence and indeed, artificial emotions, there almost seems the likelihood, that sometime in the future, robots too, may love others in return. Who those others are-whether human or robot-is to be speculated. As with the laws of emotion, and particularly that of the cognitive-emotional theory on Appraisal, a reality in which robots experience their own emotions, may not be as rosy as would be expected.

scholarly journals THE ADVANCEMENT OF ARTIFICIAL INTELLIGENCE A WAY TO MAN AND MACHINE IN COMBAT IN TIME MACHINE AND I ROBOT

2019 ◽  
Vol 6 (1) ◽  
pp. 14-16
Author(s):  
Sumathi R ◽  
Sutharshan V
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
20Th Century ◽  
Scientific Knowledge ◽  
The Other ◽  
Time Machine ◽  
General Outline ◽  
Fantasy Fiction ◽  
Research Article ◽  
Future Events

Science fiction has proved notoriously difficult to define. It can be explained as a combination of science and technology and development in robotics in short it can be otherwise called as ‘realistic speculation about future events and a genre based on an imagined alternative to the reader's environment. It has been called a form of fantasy fiction and an historical literature. The paper goes further with two main concepts one with clash between two people of future and the other with advancement of science particularly on robotics. First is about general outline to science fiction in short a (SF) a genre cause problem because itdoes not recognize the hybrid nature of many SF works. It is more helpful to think of it as a mode or field where different genres and subgenres intersect. And then there is the issue of science. In the early decades of the 20th century, a number of writers attempted to tie this fiction to science and event to use it as a means of promoting scientific knowledge, a position which continues into what has become known as ‘hard SF’. The research article is completely based on advancement of science and its effects.

scholarly journals AI in oncology: when science fiction meets reality

2018 ◽  
Vol 1 (1) ◽  
pp. 001-002
Author(s):  
Bin Li
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Real Life

Artificial intelligence has long been a hot topic in the science fiction books and movies. But now it seemingly has stepped into our real life in a variety of forms. In this brief editorial, we discuss the various aspects of AI utilizations in our day-to-day life and foresee its applications in oncology.

Advanced Methodologies Descriptions and Applications

2014 ◽  
pp. 57-65
Author(s):  
Brad Morantz
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
Science Fiction ◽  
The World ◽  
Fiction Writers ◽  
Mathematical Applications

Artificial intelligence is the stuff of science fiction writers, robots taking over the world, and computers knowing our every thought and action. Advanced methodologies is the utilization of accepted artificial intelligence programs in mathematical applications to solve a variety of problems. In this chapter, many of these methods will be described and sample applications provided to better explain the advantages of this method in problem solving.

‘At the Expense of Human Values’

2020 ◽  
pp. 35-48
Author(s):  
Joshua Grimm
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
History Of Science ◽  
Cognitive Dissonance ◽  
Nuclear Power ◽  
Silicon Valley ◽  
Human Values ◽  
Mad Scientist ◽  
History Of ◽  
The U.S

Ex Machina plays against type extremely well, and it is, in part, particularly effective because of the genre tropes are relatively consistent. There’s really only one term to cinematically describe a reclusive, temperamental genius working on a project he hopes will change humanity: the mad scientist. In the history of science fiction film, the mad scientist has traditionally either been directly responsible for a crisis (potential or realized) by creating the problem, or indirectly responsible by trying to control something so powerful that no one could possibly control it. The latter was used largely in the 1950s and 1970s by reflecting the two perceived threats during those eras: atomic/nuclear power and pollution, respectively. But in these films, the extent of the power being studied must be balanced against what that scientist is trying to accomplish. In Ex Machina, Nathan’s portrayal is a fascinating one, embodying the Silicon Valley, “work hard, play hard” bro-culture we see in the U.S. tech industry, and he’s able to completely detach his own actions/desires from his work, a cognitive dissonance that allows him to create a line of slaves at the same time he tries to reproduce artificial intelligence. This chapter will place Nathan within the larger context of science fiction’s history of mad scientists, analyzing similarities and determining what those differences mean.

“It’s Probably Going to Be the Hardest Film to Make”

2019 ◽  
pp. 13-40
Author(s):  
Robert P. Kolker ◽  
Nathan Abrams
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Sigmund Freud ◽  
Stanley Kubrick ◽  
Long Period ◽  
Holocaust Film ◽  
Period Of Gestation

Stanley Kubrick wanted to film Arthur Schnitzler’s Traumnovelle since the early 1950s. His interest lay in Schnitzler’s fascination with sexuality and domesticity. The intersection of Schnitzler’s writings with those of Sigmund Freud was of particular interest. Kubrick’s favorite director, Max Ophüls, had adapted some of Schnitzler’s plays, and this also attracted the author to Kubrick. Even though he kept putting off the making of the film, its ideas percolated into those films he did make, from Fear and Desire through The Shining. During this long period of gestation, Kubrick entertained many ideas for writers and stars. At one point, he wanted to make it as a comedy. Only after the failure to get his Holocaust film or his science fiction film, A.I.: Artificial Intelligence, made did he finally turn to directing Eyes Wide Shut.

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