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Why the Turing test is ai's biggest blind Alley

In Peter Millican & Andy Clark (eds.), Machines and Thought: The Legacy of Alan Turing. Oxford, England: Oxford University Press (1996)

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  1. Ethics and the technologies of empire: e-learning and the US military. [REVIEW]Norm Friesen - 2010 - AI and Society 25 (1):71-81.
    Instructional technology, and the cognitivist and systems paradigms that underpin it, grew out of the military-industrial complex during the Cold War. Much as the Pentagon and this military complex defined the architecture of the Internet, they also essentially created, ex nihilo, the fields of instructional technology and instructional design. The results of the ongoing dominance or influence of the Pentagon in these specific disciplines have been traced in research that appeared during the final phases of the Cold War. But this (...)
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  • What makes any agent a moral agent? Reflections on machine consciousness and moral agency.Joel Parthemore & Blay Whitby - 2013 - International Journal of Machine Consciousness 5 (2):105-129.
    In this paper, we take moral agency to be that context in which a particular agent can, appropriately, be held responsible for her actions and their consequences. In order to understand moral agency, we will discuss what it would take for an artifact to be a moral agent. For reasons that will become clear over the course of the paper, we take the artifactual question to be a useful way into discussion but ultimately misleading. We set out a number of (...)
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  • Intelligence as a Social Concept: a Socio-Technological Interpretation of the Turing Test.Shlomo Danziger - 2022 - Philosophy and Technology 35 (3):1-26.
    Alan Turing’s 1950 imitation game has been widely understood as a means for testing if an entity is intelligent. Following a series of papers by Diane Proudfoot, I offer a socio-technological interpretation of Turing’s paper and present an alternative way of understanding both the imitation game and Turing’s concept of intelligence. Turing, I claim, saw intelligence as a social concept, meaning that possession of intelligence is a property determined by society’s attitude toward the entity. He realized that as long as (...)
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  • Can machines think? The controversy that led to the Turing test.Bernardo Gonçalves - 2023 - AI and Society 38 (6):2499-2509.
    Turing’s much debated test has turned 70 and is still fairly controversial. His 1950 paper is seen as a complex and multilayered text, and key questions about it remain largely unanswered. Why did Turing select learning from experience as the best approach to achieve machine intelligence? Why did he spend several years working with chess playing as a task to illustrate and test for machine intelligence only to trade it out for conversational question-answering in 1950? Why did Turing refer to (...)
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  • Why language clouds our ascription of understanding, intention and consciousness.Susan A. J. Stuart - forthcoming - Phenomenology and the Cognitive Sciences:1-22.
    The grammatical manipulation and production of language is a great deceiver. We have become habituated to accept the use of well-constructed language to indicate intelligence, understanding and, consequently, intention, whether conscious or unconscious. But we are not always right to do so, and certainly not in the case of large language models (LLMs) like ChapGPT, GPT-4, LLaMA, and Google Bard. This is a perennial problem, but when one understands why it occurs, it ceases to be surprising that it so stubbornly (...)
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  • Moral Agency, Moral Responsibility, and Artifacts: What Existing Artifacts Fail to Achieve , and Why They, Nevertheless, Can Make Moral Claims upon Us.Joel Parthemore & Blay Whitby - 2014 - International Journal of Machine Consciousness 6 (2):141-161.
    This paper follows directly from an earlier paper where we discussed the requirements for an artifact to be a moral agent and concluded that the artifactual question is ultimately a red herring. As...
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