Stephen Cave Kanta Dihal Sarah DillonAI Narratives: A History of Imaginative Thinking about Intelligent Machines

2021 ◽  
Vol 48 (3) ◽  
pp. 573-577
Author(s):  
Veronica Hollinger

This book is the first to examine the history of imaginative thinking about intelligent machines. As real artificial intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed, and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. These chapters explore the revealing prehistory of key concerns of contemporary AI discourse, from the nature of mind and creativity to issues of power and rights, from the tension between fascination and ambivalence to investigations into artificial voices and technophobia. Part II focuses on the twentieth and twenty-first centuries in which a greater density of narratives emerged alongside rapid developments in AI technology. These chapters reveal not only how AI narratives have consistently been entangled with the emergence of real robotics and AI, but also how they offer a rich source of insight into how we might live with these revolutionary machines. Through their close textual engagements, these chapters explore the relationship between imaginative narratives and contemporary debates about AI’s social, ethical, and philosophical consequences, including questions of dehumanization, automation, anthropomorphization, cybernetics, cyberpunk, immortality, slavery, and governance. The contributions, from leading humanities and social science scholars, show that narratives about AI offer a crucial epistemic site for exploring contemporary debates about these powerful new technologies.


Author(s):  
Alex Lawrence-Archer

A Review Essay by Alex Lawrence-Archer AI Narratives: A History of Imaginative Thinking about Intelligent Machines Stephen Cave, Kanta Dihal, and Sarah Dillon (eds). Oxford University Press, 2020. Rage Inside the Machine: The Prejudice of Algorithms, and How to Stop the Internet Making Bigots of Us All Robert Elliot Smith. Bloomsbury Business, 2019. Keywords—strategic communication, strategic communications, AI, artificial intelligence, applied ethics, data science, machine learning


Author(s):  
Steven Walczak

Artificial intelligence is the science of creating intelligent machines. Human intelligence is comprised of numerous pieces of knowledge as well as processes for utilizing this knowledge to solve problems. Artificial intelligence seeks to emulate and surpass human intelligence in problem solving. Current research tends to be focused within narrow, well-defined domains, but new research is looking to expand this to create global intelligence. This chapter seeks to define the various fields that comprise artificial intelligence and look at the history of AI and suggest future research directions.


2016 ◽  
Author(s):  
Yogesh Prasad Kolekar

Today we live in a technology driven world. Industrial revolution gave birth to giant machines for industrial advancement and information technology has delivered intelligent machines to revolutionize human development. Today we are surrounded by automated smart technology, which has touched almost all spheres of human life, from military to medicine and from education to the election. Electronic banking or e-banking is the fusion of information technology with the banking system. Thus the term electronic banking generically refers to various terms connected with virtual banking and often interchangeably used with the term internet banking. The Rangarajan Committees drew a phased plan for bank computerization in the 1980’s which recommended computerization of banks at various levels. The systematic use of Core Banking Solution (CBS) was another milestone development in the history of ebanking in India.


AI Narratives ◽  
2020 ◽  
pp. 25-48
Author(s):  
Genevieve Liveley ◽  
Sam Thomas

Through close literary analysis of Homer’s Iliad and Odyssey, this chapter traces the various gradations of weak to strong machine ‘intelligence’ that these ancient poems describe and the mind models that they assume. Beginning with a re-examination of the weak AI evinced in Homer’s descriptions of relatively simple automata, it goes on to analyse Homer’s autonomous vehicles and golden slave girls, considering the more sophisticated models of artificial mind and machine cognition attributed to Homer’s stronger, embodied AI. Throughout, this chapter asks: What kinds of priorities and paradigms do we find in AI stories from Homeric epic and how do these still resonate in contemporary discourse on AI? In particular, what distinctions does Homer draw between artificial and human minds and intelligences? And what is the legacy of Homer’s intelligent machines and the ancient narrative history of AI?


Author(s):  
Frances Smith

In 1999, N. Katherine Hayles argued that ‘we are all posthuman now’ owing to our daily interactions with intelligent machines. If moral panics about the time teenagers spend with screen media are to be believed, then present-day adolescents may have evolved into another life form entirely.1 Hayles’s conception of the posthuman is tinged with concern for the future; the very notion of human consciousness merged with computers calls up an association with the monstrous. As will become apparent, the question of the monstrous is a significant one for the analysis of the teen movie, particularly given the history of teenagers themselves as liminal figures removed from the more clearly defined identities of child or adult. However, William Brown observes that, like many a ‘post’, the posthuman should not be conceived as an identity that is wholly removed from the human, but rather a viewpoint that offers a perspective on the contingent position of humans in the world. The posthuman, then, offers a critical distance from human subjectivity, which allows us to perceive the white, male, Eurocentric assumptions that continue to underpin not only the conception of the human, but the tenets of liberal humanism.


2018 ◽  
pp. 3-9
Author(s):  
John Elliott ◽  
Alex Martynenko

Author(s):  
Alexander Yu. Nesterov ◽  
◽  
Anna I. Demina ◽  

The research analyzes the concept of imagination set in the context of semiotics of creativity. It specifies the essence of this concept from the point of pragmatic, syntactic and semantic rules applied in imaginative thinking. The objectives of the research are to explicate the history of the concept of imagination; to define the role of imagination in the projective semiosis of reason, mind and perception; to identify the relationship between imagination and intuition in the creative act. The material of the research is the history of forms of philosophical and psychological reflection on “imagination”, “intuition”, “creativity” from I. Kant, G.W.F. Hegel, P.K. Engelmeyer, F. Dessauer, S.L. Rubinstein and up to the latest semiotics of creativity and technology. The research method is semiotic modeling, representing any phenomenon as a sign in receptive and projective semiosis, realizing as a complex, organized representation of contents in the substrates of sensory perception, mind and reason. In the receptive processes (in the acts of cognition and understanding), the order of representation is determined by the ascent from the reality to the concept: sensory perception, mind, reason. In projective processes (in acts of creativity, technology, interpretation, practice, etc.), the order of representation is reversed: from the concept (phantasm, image) to its logical-grammatical construction and to its physical embodiment in the form of an artifact. The study is built as an expansion and substantiation of the thesis that imagination is, firstly, the environment for the implementation of semiosis, and, secondly, it is one of the ways to remove uncertainty that arises both in reception and in projection. As an environment, imagination is revealed as a condition for the possibility of applying rules in the substrates of reason and mind and is defined as the sphere of the thinkable and imaginable, but impossible in the physical world. The uncertainty, in the epistemological sense, means the situations of knowledge about not knowing for receptive processes and not knowing about knowledge for projective processes. Removing the uncertainty, the imagination is revealed as an addition to reality within the framework of the semantic, syntactic and pragmatic rules of sensory perception, mind and reason. The analysis of imagination, as an addition to perception, is illustrated by the data of experimental psychology, in particular, the Zagorsk Experiment; as an addition to the mind by the concept of secondary modeling systems or semiological systems by Yu.M. Lotman and R. Barthes; as an addition to the reason by a comparative analysis of the concepts of intuition and imagination. The study concludes that the functional definition of imagination as an addition to reality at the levels of reason, mind and perception is justified both in the context of the theory of creativity, adhering to the model of “three-act”, and in the context of semiotic ontology itself.


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