A great deal of effort has been, and continues to be, devoted to developing consciousness artificially (A small selection of the many authors writing in this area includes: Cotterill (J Conscious Stud 2:290–311, 1995 , 1998 ), Haikonen ( 2003 ), Aleksander and Dunmall (J Conscious Stud 10:7–18, 2003 ), Sloman ( 2004 , 2005 ), Aleksander ( 2005 ), Holland and Knight ( 2006 ), and Chella and Manzotti ( 2007 )), and yet a similar amount of effort has (...) gone in to demonstrating the infeasibility of the whole enterprise (Most notably: Dreyfus ( 1972/1979 , 1992 , 1998 ), Searle ( 1980 ), Harnad (J Conscious Stud 10:67–75, 2003 ), and Sternberg ( 2007 ), but there are a great many others). My concern in this paper is to steer some navigable channel between the two positions, laying out the necessary pre-conditions for consciousness in an artificial system, and concentrating on what needs to hold for the system to perform as a human being or other phenomenally conscious agent in an intersubjectively-demanding social and moral environment. By adopting a thick notion of embodiment—one that is bound up with the concepts of the lived body and autopoiesis (Maturana and Varela 1980 ; Varela et al. 2003 ; and Ziemke 2003 , 2007a , J Conscious Stud 14(7):167–179, 2007b )—I will argue that machine phenomenology is only possible within an embodied distributed system that possesses a richly affective musculature and a nervous system such that it can, through action and repetition, develop its tactile-kinaesthetic memory, individual kinaesthetic melodies pertaining to habitual practices, and an anticipatory enactive kinaesthetic imagination. Without these capacities the system would remain unconscious, unaware of itself embodied within a world. Finally, and following on from Damasio’s ( 1991 , 1994 , 1999 , 2003 ) claims for the necessity of pre-reflective conscious, emotional, bodily responses for the development of an organism’s core and extended consciousness, I will argue that without these capacities any agent would be incapable of developing the sorts of somatic markers or saliency tags that enable affective reactions, and which are indispensable for effective decision-making and subsequent survival. My position, as presented here, remains agnostic about whether or not the creation of artificial consciousness is an attainable goal. (shrink)

Students, the future Information and Communication Technology (ICT) professionals, are often perceived to have little understanding of the ethical issues associated with the use of ICTs. There is a growing recognition that the moral issues associated with the use of the new technologies should be brought to the attention of students. Furthermore, they should be encouraged to explore and think more deeply about the social and legal consequences of the use of ICTs. This paper describes the development of a tool (...) designed to raise students’ awareness of the social impact of ICTs. The tool offers guidance to students undertaking computing and computer-related courses when considering the social, legal and professional implications of the actions of participants in situations of ethical conflict. However, unlike previous work in this field, this tool is not based on an artificial intelligence paradigm. Aspects of the theoretical basis for the design of the tool and the tool’s practical development are discussed. Preliminary results from the testing of the tool are also discussed. (shrink)

In this four part exchange, Evan Selinger starts by stating that Collins’s empirical evidence in respect of linguistic socialization and its bearing on artificial intelligence and expertise is valuable; it advances philosophical and sociological understanding of the relationship between knowledge and language. Nevertheless, he argues that Collins mischaracterizes the data under review and thereby misrepresents how knowledge is acquired and understates the extent to which expert knowers are embodied. Selinger reconstructs the case for the importance of the body in the (...) initial acquisition of language and challenges Collins to show how a disembodied entity could become fluent in any language at all.Collins responds by accepting that his approach does not demonstrate quite as much about the irrelevance of the body as he thought it did but that even though he accepts all of Selinger’s claims, ‘the body’ as needed by the philosophical approach set out by Selinger is still a vestigial thing. Collins’s main point, however, is that the philosophical view of the body—the world is divided into embodied agents and unembodied entities—distracts attention from the more interesting empirically researchable question of how the ability to become socialized diminishes, if it does, as the body become more and more minimal. The right research question is not about whether a person can extrapolate from minimal sensory input but how much extrapolation is possible under different circumstances and how it is done.Dreyfus, having seen the whole of the exchange so far, agrees that both have a point but argues that Collins’s approach still misses the well established importance of bodily engagement for full understanding.Collins responds to this by trying to set out more clearly the position associated with the idea of interactional expertise.Keywords: Interactional expertise; Phenomenology; Turing test; Embodiment; Tacit knowledge; Socialization. (shrink)

In this four part exchange, Evan Selinger starts by stating that Collins’s empirical evidence in respect of linguistic socialization and its bearing on artificial intelligence and expertise is valuable; it advances philosophical and sociological understanding of the relationship between knowledge and language. Nevertheless, he argues that Collins mischaracterizes the data under review and thereby misrepresents how knowledge is acquired and understates the extent to which expert knowers are embodied. Selinger reconstructs the case for the importance of the body in the (...) initial acquisition of language and challenges Collins to show how a disembodied entity could become fluent in any language at all.Collins responds by accepting that his approach does not demonstrate quite as much about the irrelevance of the body as he thought it did but that even though he accepts all of Selinger’s claims, ‘the body’ as needed by the philosophical approach set out by Selinger is still a vestigial thing. Collins’s main point, however, is that the philosophical view of the body—the world is divided into embodied agents and unembodied entities—distracts attention from the more interesting empirically researchable question of how the ability to become socialized diminishes, if it does, as the body become more and more minimal. The right research question is not about whether a person can extrapolate from minimal sensory input but how much extrapolation is possible under different circumstances and how it is done.Dreyfus, having seen the whole of the exchange so far, agrees that both have a point but argues that Collins’s approach still misses the well established importance of bodily engagement for full understanding.Collins responds to this by trying to set out more clearly the position associated with the idea of interactional expertise.Keywords: Interactional expertise; Phenomenology; Turing test; Embodiment; Tacit knowledge; Socialization. (shrink)

Harry Collins interprets Hubert Dreyfus’s philosophy of embodiment as a criticism of all possible forms of artificial intelligence. I argue that this characterization is inaccurate and predicated upon a misunderstanding of the relevance of phenomenology for empirical scientific research.

There is remarkable convergence between twentieth‐century interpretations of the image of God (imago Dei), what it means for human beings to be created in God's image, and approaches toward creating in our own image in the field of artificial intelligence (AI). Both fields have viewed the intersection between God and humanity or humanity and computers in terms of either (1) a property or set of properties such as intelligence, (2) the functions we engage in or are capable of, or (3) (...) the relationships we establish and maintain. Each of these three approaches reflects a different understanding of what stands at the core of our humanity. Functional and relational approaches were common in the late twentieth century, with a functional understanding the one most accepted by society at large. A relational view, however, gives new insights into human dignity in a computer age as well as new approaches to AI research. (shrink)

We present a comprehension‐based computational model of UNIX user skill acquisition and performance in a training context (UNICOM). The work extends a comprehension‐based theory of planning to account for skill acquisition and learning. Individual models of 22 UNIX users were constructed and used to simulate user performance on successive command production problems in a training context. Comparisons of model and the human empirical data result in a high degree of agreement, validating the ability of UNICOM to predict user response to (...) training. (shrink)