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.

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 Ethical issues on artificial intelligence in radiology: how is it reported in research articles? The current state and future directions

2021 ◽  
Vol 90 (2) ◽  
pp. e513
Author(s):  
Tomasz Piotrowski ◽  
Joanna Kazmierska ◽  
Mirosława Mocydlarz-Adamcewicz ◽  
Adam Ryczkowski
Keyword(s):  
Artificial Intelligence ◽  
Ethical Issues ◽  
Real Life ◽  
Exclusion Criteria ◽  
Future Directions ◽  
Current State ◽  
Ethical Status ◽  
The Status ◽  
Clinical Questions ◽  
Almost All

Background. This paper evaluates the status of reporting information related to the usage and ethical issues of artificial intelligence (AI) procedures in clinical trial (CT) papers focussed on radiology issues as well as other (non-trial) original radiology articles (OA). Material and Methods. The evaluation was performed by three independent observers who were, respectively physicist, physician and computer scientist. The analysis was performed for two groups of publications, i.e., for CT and OA. Each group included 30 papers published from 2018 to 2020, published before guidelines proposed by Liu et al. (Nat Med. 2020; 26:1364-1374). The set of items used to catalogue and to verify the ethical status of the AI reporting was developed using the above-mentioned guidelines. Results. Most of the reviewed studies, clearly stated their use of AI methods and more importantly, almost all tried to address relevant clinical questions. Although in most of the studies, patient inclusion and exclusion criteria were presented, the widespread lack of rigorous descriptions of the study design apart from a detailed explanation of the AI approach itself is noticeable. Few of the chosen studies provided information about anonymization of data and the process of secure data sharing. Only a few studies explore the patterns of incorrect predictions by the proposed AI tools and their possible reasons. Conclusion. Results of review support idea of implementation of uniform guidelines for designing and reporting studies with use of AI tools. Such guidelines help to design robust, transparent and reproducible tools for use in real life.

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 “Regulatory Sandboxes” in Russia: New Horizons and Challenges

2020 ◽  
Vol 1 (2) ◽  
pp. 17-27
Author(s):  
Damir R. Salikhov
Keyword(s):  
Artificial Intelligence ◽  
Real Life ◽  
Federal Law ◽  
Digital Innovation ◽  
New Horizons ◽  
The Third ◽  
Special Mechanism ◽  
Life Model ◽  
The Government ◽  
Universal Mechanism

“Regulatory sandboxes” are regarded as a special mechanism for setting up experimental regulation in the area of digital innovation (especially in financial technologies), creating a special regime for a limited number of participants and for a limited time.Russiahas its own method of experimental regulation, which is not typical but may be helpful for other jurisdictions. There are three approaches to legal experiments (including digital innovations) inRussia. The first approach is accepting special regulation on different issues. There are recent examples of special laws (e.g. Federal Law on the experiment with artificial intelligence technologies inMoscow). An alternative to this option is establishing experimental regulation by an act of the Government if legislation does not prohibit it (e.g. labeling with means of identification). The second approach deals only with Fintech innovations and provides a special mechanism to pilot models of innovative financial technologies. The participants of such a “sandbox” may create a close-to-life model in order to estimate the effects and risks. If the model works fine, the regulation may be amended. The third approach works with creating a universal mechanism of real-life experiments in the sphere of digital innovations based on the special Federal Law and the specific decision of the Government of theRussian Federationor the Bank of Russia in the financial sphere. The author compares the three approaches and their implementation within the framework of Russian legislation and practice and concludes that this experience may be used by developing countries with inflexible regulation, in order to facilitate the development of digital innovations.

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