Artificial Intelligence and the Rise of the Meritocracy

Ideal Minds ◽  
2020 ◽  
pp. 31-66
Author(s):  
Michael Trask
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Philosophy Of Mind ◽  
Social Problems ◽  
Great Society ◽  
New Wave ◽  
Classical Liberalism ◽  
State Institutions ◽  
The Past ◽  
Objective Existence

This chapter discusses how IQ reappeared in the era as a proper measure of personhood. Numerous figures looked to psychometrics as confirming the objective existence of separate subjectivities. Examining the promise and defeat of artificial intelligence in philosophy of mind and New Wave science fiction, the chapter shows that a suspicion of Great Society welfarism took hold among writers with little in common except their commitment to the idea that human minds could neither be replicated by machines nor reconfigured by state institutions without injury to personhood. If there is something weird about reviving not just classical IQ science but also classical liberalism, at least one can trace the motivation for such retrievals to the widespread seventies attitude that the present itself had little to offer by way of solutions to social problems. Many forward-thinking or progressive figures in the decade preferred to look to the past, a habit of mind that hastened the collapse of the present.

scholarly journals Two crossbows and a carbine: Out of the commentary on A.N. and B.N. Strugatsky’s novel “Hard to be a God”

2020 ◽  
pp. 51-58
Author(s):  
Irina N. Arzamastseva ◽  
Alexander V. Kuznetsov
Keyword(s):  
Science Fiction ◽  
Research Methods ◽  
Social Problems ◽  
The Novel ◽  
The Past ◽  
The Social ◽  
Fiction Writers ◽  
History Of ◽  
Sea Monster ◽  
Intertextual Connections

The article is devoted to the study of the functions of the characters’ weapons in A.N. and B.N. Strugatsky’s novel “Hard to be a God”. It is important for writing a commentary on the prologue of the novel. The authors used the historical-typological and mythopoetic research methods. As the result of reviewing the history of words-concepts, as it made by A.N. Veselovsky, the authors managed to study the intertextual connections of “Hard to be a God” with V.T. Shalamov’s poem “Crossbow” and his story “May”, as well as N.S. Gumilev’s poem “Just looks through the cliffs...” and E. Hemingway’s play “The fifth column”. Through these connections, the image of weapons is formed in the work of science fiction writers. It is necessary to destruct the mythological enemy – the sea monster, which symbolizes the social evil within the novel framework. As we have found out, the reason for such an intricate symbolism lies in the peculiarities of the age: the image of the sea monster standing for public evil is due to historical reasons. And since the elimination of social problems by such radical methods, according to the authors, is impossible, the movement towards a bright future should be only gradual and peaceful. As in reality, weapons are fundamentally unable to perform their task. Moreover, the weapon is dangerous for its owner, which indicates the ambivalence of the image. In addition, the comparison, important for the novel “Hard to be God”, of the past and future appears the first in the comparison of crossbows and carbines, further developing by other means. Weapons are involved in creating a number of important motives: doom, the danger of using force, and interference in the course of history.

Past, Present, and Future of Artificial Intelligence in Library Services

2022 ◽  
pp. 91-114
Author(s):  
Ambar Yoganingrum ◽  
Rulina Rachmawati ◽  
Koharudin Koharudin
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Science Fiction ◽  
Bibliometric Analysis ◽  
Library Services ◽  
Daily Lives ◽  
Intelligent Machines ◽  
The Past ◽  
The Future ◽  
Over Time

In the past, human imagination about intelligent machines was only found in the science fiction of storybooks and films. Today, artificial intelligence (AI) can be found in people's daily lives. Various professions should prepare to face the automation era in the future. Libraries may be one of the slowest institutions to develop AI. Gradually, the institution adopts it for their services. Many papers focus on AI development in libraries, but the opportunities and challenges for librarians to face the era of automation are essential to discuss. This chapter provides insights into the professions that librarians can offer. First, this chapter provides information on the history and development of AI in library services. Then, based on bibliometric analysis, this chapter discusses AI trends in library services. Next, this chapter conducts a systematic review and presents the types of AI developed over time for library services. Finally, this chapter discusses the types of jobs, expertise, and skills that librarians can develop in the robotics era in the future.

A Mind of One's Own

Philosophy ◽  
1993 ◽  
Vol 68 (266) ◽  
pp. 457-471 ◽  
Author(s):  
J. R. Lucas
Keyword(s):  
Science Fiction ◽  
Philosophy Of Mind ◽  
Citation Index ◽  
The Self ◽  
Traditional View ◽  
Good Thing ◽  
Bernard Williams ◽  
Autonomous Action ◽  
The Past

Whatever good or ill it did to Guy Fawkes, his resuscitation at the hands of Bernard Williams has, by any utilitarian reckoning, been a Good Thing. A casual glance at the literature that has accumulated over the past thirty-five years leaves no doubt that the topic has been reduplicated many times over, to the great enjoyment of undergraduates, who have been able to write science fiction under the guise of essays in the Philosophy of Mind, and of dons, who in an age of cvs and Assessments, have been able to notch up page after page of counter-replies to replies to rebuttals of previous papers, not to mention an often welcome tally of references in the citation index. But the actual arguments adduced by Williams can be turned to support a much more traditional view of the self, as a necessarily unique agent whose individuality is established by his capacity for autonomous action.

The Future of Work and the Changing Workplace

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
Machine Intelligence ◽  
Political Issue ◽  
Digital Innovation ◽  
Future Of Work ◽  
The Past ◽  
The World ◽  
Public Debates ◽  
The Future ◽  
Market Opportunities

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.

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.

Artificial Intelligence and Human Rights: Four Realms of Discussion: Summary of Remarks

2020 ◽  
Vol 114 ◽  
pp. 242-245
Author(s):  
Jootaek Lee
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Deep Learning ◽  
Language Processing ◽  
Human Reasoning ◽  
The Past ◽  
Making Choices ◽  
Data Capturing ◽  
Intensive Procedures

The term, Artificial Intelligence (AI), has changed since it was first coined by John MacCarthy in 1956. AI, believed to have been created with Kurt Gödel's unprovable computational statements in 1931, is now called deep learning or machine learning. AI is defined as a computer machine with the ability to make predictions about the future and solve complex tasks, using algorithms. The AI algorithms are enhanced and become effective with big data capturing the present and the past while still necessarily reflecting human biases into models and equations. AI is also capable of making choices like humans, mirroring human reasoning. AI can help robots to efficiently repeat the same labor intensive procedures in factories and can analyze historic and present data efficiently through deep learning, natural language processing, and anomaly detection. Thus, AI covers a spectrum of augmented intelligence relating to prediction, autonomous intelligence relating to decision making, automated intelligence for labor robots, and assisted intelligence for data analysis.

scholarly journals Boundaries Between Research Ethics and Ethical Research Use in Artificial Intelligence Health Research

2021 ◽  
pp. 155626462110027
Author(s):  
Gabrielle Samuel ◽  
Jenn Chubb ◽  
Gemma Derrick
Keyword(s):  
Artificial Intelligence ◽  
Health Research ◽  
Decision Makers ◽  
Societal Impact ◽  
The Past ◽  
Research And Innovation ◽  
The United Kingdom ◽  
Responsible Research ◽  
Past Half

The governance of ethically acceptable research in higher education institutions has been under scrutiny over the past half a century. Concomitantly, recently, decision makers have required researchers to acknowledge the societal impact of their research, as well as anticipate and respond to ethical dimensions of this societal impact through responsible research and innovation principles. Using artificial intelligence population health research in the United Kingdom and Canada as a case study, we combine a mapping study of journal publications with 18 interviews with researchers to explore how the ethical dimensions associated with this societal impact are incorporated into research agendas. Researchers separated the ethical responsibility of their research with its societal impact. We discuss the implications for both researchers and actors across the Ethics Ecosystem.

The Future of the Planetary Trust in a Kaleidoscopic World

2021 ◽  
pp. 1-8
Author(s):  
Edith Brown Weiss
Keyword(s):  
Artificial Intelligence ◽  
Natural Resource ◽  
Human Activities ◽  
New Technologies ◽  
Future Generations ◽  
Nuclear War ◽  
Human Environment ◽  
The Past ◽  
Resource Degradation ◽  
Shared Goal

Today, it is evident that we are part of a planetary trust. Conserving our planet represents a public good, global as well as local. The threats to future generations resulting from human activities make applying the normative framework of a planetary trust even more urgent than in the past decades. Initially, the planetary trust focused primarily on threats to the natural system of our human environment such as pollution and natural resource degradation, and on threats to cultural heritage. Now, we face a higher threat of nuclear war, cyber wars, and threats from gene drivers that can cause inheritable changes to genes, potential threats from other new technologies such as artificial intelligence, and possible pandemics. In this context, it is proposed that in the kaleidoscopic world, we must engage all the actors to cooperate with the shared goal of caring for and maintaining planet Earth in trust for present and future generations.

scholarly journals Application of Artificial Intelligence in Food Industry—a Guideline

2021 ◽  
Author(s):  
Nidhi Rajesh Mavani ◽  
Jarinah Mohd Ali ◽  
Suhaili Othman ◽  
M. A. Hussain ◽  
Haslaniza Hashim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Food Industry ◽  
Near Infrared ◽  
Vision System ◽  
Electronic Tongue ◽  
World Population ◽  
Computer Vision System ◽  
The Past

AbstractArtificial intelligence (AI) has embodied the recent technology in the food industry over the past few decades due to the rising of food demands in line with the increasing of the world population. The capability of the said intelligent systems in various tasks such as food quality determination, control tools, classification of food, and prediction purposes has intensified their demand in the food industry. Therefore, this paper reviews those diverse applications in comparing their advantages, limitations, and formulations as a guideline for selecting the most appropriate methods in enhancing future AI- and food industry–related developments. Furthermore, the integration of this system with other devices such as electronic nose, electronic tongue, computer vision system, and near infrared spectroscopy (NIR) is also emphasized, all of which will benefit both the industry players and consumers.

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