Beyond Artificial Intelligence: The Disappearing Human-Machine Divide (Topics in Intelligent Engineering and Informatics)
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This book is an edited collection of chapters based on the papers presented at the conference “Beyond AI: Artificial Dreams” held in Pilsen in November 2012. The aim of the conference was to question deep-rooted ideas of artificial intelligence and cast critical reflection on methods standing at its foundations.
Artificial Dreams epitomize our controversial quest for non-biological intelligence and therefore the contributors of this book tried to fully exploit such a controversy in their respective chapters, which resulted in an interdisciplinary dialogue between experts from engineering, natural sciences and humanities.
While pursuing the Artificial Dreams, it has become clear that it is still more and more difficult to draw a clear divide between human and machine. And therefore this book tries to portrait such an image of what lies beyond artificial intelligence: we can see the disappearing human-machine divide, a very important phenomenon of nowadays technological society, the phenomenon which is often uncritically praised, or hypocritically condemned. And so this phenomenon found its place in the subtitle of the whole volume as well as in the title of the chapter of Kevin Warwick, one of the keynote speakers at “Beyond AI: Artificial Dreams”.
memories. However, the main issue raised by this possibility is how and by whom these pills are going to be used. One of the concerns expressed by Todd Sactor, the scientist who isolated PKMzeta protein, is related to possible dystopian scenarios in which memory erasure is not optional but imposed on us by tyrants who have often already rewritten history books. I would slightly disagree with Sactor on imposition by force since the era of tyranny and dictatorship is giving way to corporate power
about machines as it tells us about humans and new aﬀective abilities being developed through interactions with our machines. They may be humanlike, but these machines do not possess consciousness, at least not in the way humans do. Nevertheless, that doesn’t mean that they will not develop one which does not necessarily have to have human qualities that are under human control. Instead, it may be an AI in-and-of-itself that the word uncanny doesn’t even begin to describe it. At present, an
a “problem”, however, is in fact a well-understood human trait with its own advantages and downsides. On the advantageous side, linguists, psychologists, and cultural anthropologists have shown that the capability of human beings to attribute beliefs and intentions to others is at the root of human sociality (see for example ). On the flip side, however, this trait can lead to attributions that go beyond the realm of the real, the sensible, or even the probable. This latter aspect is well
no tacit knowledge, and so forth. We traced the historical origins of this paradox in the modernist project that seeks to create autonomous human beings endowed with freedom but constrained by their inherent neediness and their social obligations. AI research doubly augments this paradox through its techno-cultural imaginary. In its attempt to carry out 4 I need to add that Collins and Evans present their account of expertise as a “substantive” theory, and in opposition to relational views. In
intensity of the emotion is too hard having just these two numbers. So let us define Emotion Vector e as follows; (5) e = [x, y] In circular representation of emotions, emotion vector (e) can also be represented by its Norm (ρ) and its Angle (θ). ρ= x2 + y 2 (6) A Computational Behavior Model 165 y (7) θ = tan−1 ( ) x Now we can simply define the intensity of emotions by the norm (ρ) and the type by the angle (θ) of emotion vector (e). The correlation of the emotion angle, basic emotion,