In this essay the question will be discussed whether or not Alan Turing’s concept of the “imitation game” enhanced and enhances the tendency for anthropomorphism in the field of AI – and if so, to what extent.
Artificial intelligence (AI) is one of the newest scientific fields, starting in the middle of the 20th century with the goal of creating intelligent entities. Nonetheless the scientific roots of the field reach far behind since the history of humankind – of homo sapiens – has always been coined by the goal of understanding what intelligence is. Therefore, AI is a highly interdisciplinary field of science including engineering, philosophy, mathematics and logics, psychology and other natural sciences.
The high potential for controversies in such an interdisciplinary field of study becomes already obvious by the fact that there is no common definition of what intelligence is. Is intelligence something that goes beyond the natural materialistic world and is “human-exclusive”? Or can it be reached by technical reproduction of the human brain and its cognition?
Table of Contents
1 INTRODUCTION
2 FUNDAMENTAL ASPECTS ABOUT AI TODAY
2.1 GENERAL
2.2 DEVELOPMENT OF ARTIFICIAL INTELLIGENCE
2.3 SYMBOLIC AND CONNECTIONIST PARADIGM
3 ANTHROPOMORPHISM IN ARTIFICIAL INTELLIGENCE
3.1 A BRIEF PSYCHOLOGICAL THEORY ON ANTHROPOMORPHISM
3.2 THE USE AND POSSIBLE REASONS FOR ANTHROPOMORPHISM IN ARTIFICIAL INTELLIGENCE
3.3 BEYOND HUMAN MIND
4 INTERIM CONCLUSION
5 TURING AND ANTHROPOMORPHISM
5.1 THE “IMITATION GAME”
5.2 ANTHROPOMORPHISM USED BY TURING
5.3 DISCUSSION OF THE TURING TEST
6 PRE-HISTORY OF AI
7 CONCLUSION
Research Objectives and Topics
This essay explores whether Alan Turing's "imitation game" has reinforced the tendency to anthropomorphize artificial intelligence. It examines the historical and psychological roots of anthropomorphism in the field of AI, tracing how the focus on reproducing human-like cognition has influenced the development of both symbolic and connectionist paradigms.
- Historical evolution of Artificial Intelligence paradigms
- Psychological determinants of anthropomorphism
- Critical analysis of the "imitation game" and its design
- Comparison between human-centered AI and the concept of "mindless intelligence"
Excerpt from the Book
3.1 A BRIEF PSYCHOLOGICAL THEORY ON ANTHROPOMORPHISM
According to the oxford dictionary anthropomorphism is “the practice of treating gods, animals or objects as if they had human qualitites” (Oxford, 2020). In an article on anthropomorphism by Epley the likelihood of anthropomorphism is traced back to three different psychological determinants: (1) the accessibility and applicability of anthropocentric knowledge, (2) the motivation to understand and explain the behavior of other agents and (3) the desire for social contact and affiliation (Epley, Waytz, & Cacioppo, 2007). All three determinants can possibly be seen within the field of AI especially in the public sector. This is a result of intended anthropomorphism but also of poor scientific communication (Salles, Evers, & Farisco, 2020). The essay will focus on the professional’s and AI researcher’s tendency to use anthropomorphisms, since this is where the structural embeddedness of this tendency lies and is partly reflected by public actors. In the case of developers and researchers the tendency to anthropomorphize can be traced back to the psychological determinant of the motivation to understand and explain behavior (Salles, Evers, & Farisco, 2020).
Summary of Chapters
1 INTRODUCTION: This chapter introduces the interdisciplinary nature of AI, highlighting the lack of a universal definition of intelligence and the pervasive issue of anthropomorphizing technology.
2 FUNDAMENTAL ASPECTS ABOUT AI TODAY: This chapter outlines current AI paradigms, including the distinction between symbolic and connectionist approaches, and notes their shared tendency toward human-centered designs.
3 ANTHROPOMORPHISM IN ARTIFICIAL INTELLIGENCE: This chapter analyzes the psychological motivations for anthropomorphism and examines how both symbolic and connectionist AI models implicitly rely on human-like metaphors.
4 INTERIM CONCLUSION: This chapter reflects on the necessity of moving beyond human-centered AI, summarizing the critical arguments against equating machine performance with human cognition.
5 TURING AND ANTHROPOMORPHISM: This chapter investigates Turing's "imitation game," discussing how its design might either promote or mitigate anthropomorphic interpretations of machine capabilities.
6 PRE-HISTORY OF AI: This chapter provides historical context, connecting modern AI assumptions to early philosophical debates regarding formalization, calculation, and the reproduction of human thought.
7 CONCLUSION: This chapter synthesizes the analysis, reiterating that anthropomorphism is deeply embedded in the field's fundamental understanding and suggesting a shift towards "mindless" artificial intelligence.
Keywords
Artificial Intelligence, Anthropomorphism, Alan Turing, Imitation Game, Symbolic AI, Connectionism, Mindless Intelligence, Human-centered AI, Cognitive Science, Machine Learning, Philosophy of AI, Intelligence, Paradigm, Symbol System Hypothesis, Ethics
Frequently Asked Questions
What is the primary focus of this work?
The paper examines the tendency to anthropomorphize AI research, specifically investigating whether Alan Turing’s "imitation game" has structurally influenced this phenomenon.
What are the core thematic fields?
The work covers the history of AI development, psychological theories on anthropomorphism, philosophical debates regarding machine consciousness, and the technical differences between symbolic and connectionist AI paradigms.
What is the central research question?
The study asks whether Alan Turing's concept of the "imitation game" has enhanced the tendency for anthropomorphism in the field of artificial intelligence, and if so, to what extent.
Which scientific methods are employed?
The author employs a literature-based, historical, and conceptual analysis, reviewing works from AI researchers and philosophers to explain the structural embeddedness of anthropomorphism.
What topics are covered in the main section?
The main section details the fundamental aspects of AI, the psychological roots of anthropomorphism, a critical review of Turing's test, and an overview of the pre-history of AI leading to the symbolic approach.
What are the key terms associated with this study?
The primary keywords include Artificial Intelligence, Anthropomorphism, Alan Turing, the Imitation Game, and Mindless Intelligence.
How does the author define "mindless intelligence"?
The author refers to Jordan Pollack's concept of "mindless intelligence," which suggests creating intelligent systems that perform complex tasks without needing to simulate human consciousness or cognitive processes.
What does the author conclude about the "imitation game"?
The conclusion suggests that while Turing used anthropomorphic language, his test was arguably designed to bypass defining "thinking," though it has been historically interpreted in ways that reinforce human-centered biases.
- Quote paper
- Tim Mauch (Author), 2020, Artificial Intelligence and Anthropomorphism. Does Alan Turings Imitation Game Enhance Anthropomorphism in AI Research?, Munich, GRIN Verlag, https://www.grin.com/document/1006412
