Questioning gender is about taking an active, critical role in the technological design of our daily behaviour. It is a deconstruction of the oppositions that exist in the discourses of Ambient Intelligence designers, the ICT industry and computer scientists. What underlies the assumption that Ambient Intelligence will, by disappearing into our environment, bring humans both an easy and entertaining life? The gender perspective can uncover power relations within the promotion and realisation of Ambient Intelligence that satisfy an obvious wish for (...) a technological heaven. The deconstruction of the promise of progress and a better life reveals what is overvalued, what is undervalued and what is ignored. This paper is a deconstruction of the view, currently prevalent in the discourses of Ambient Intelligence; a view of humans and the way they live. A view that will influence the way women and men will be allowed to construct their lives. (shrink)

Is cybernetics good, bad, or indifferent? SherryTurkle enlists deconstructive theory to celebrate thecomputer age as the embodiment of difference. Nolonger just a theory, one can now live a virtual life. Within a differential but ontologically detachedfield of signifiers, one can construct and reconstructegos and environments from the bottom up andendlessly. Lucas Introna, in contrast, enlists theethical philosophy of Emmanuel Levinas to condemn thesame computer age for increasing the distance betweenflesh and blood people. Mediating the face-to-facerelation between real people, allowing and (...) encouragingcommunication at a distance, information technologywould alienate individuals from the social immediacyproductive of moral obligations and responsibilities. In this paper I argue against both of thesepositions, and for similar reasons. Turkle''scelebration and Introna''s condemnation of informationtechnology both depend, so I will argue, on the samemistaken meta-interpretation of it. Like Introna,however, but to achieve a different end, I will enlistLevinas''s ethical philosophy to make this case. (shrink)

A principal goal of the discipline of artificial morality is to design artificial agents to act as if they are moral agents. Intermediate goals of artificial morality are directed at building into AI systems sensitivity to the values, ethics, and legality of activities. The development of an effective foundation for the field of artificial morality involves exploring the technological and philosophical issues involved in making computers into explicit moral reasoners. The goal of this paper is to discuss strategies for implementing (...) artificial morality and the differing criteria for success that are appropriate to different strategies. (shrink)

Naomi Scheman argues that the concerns of philosophy emerge not from the universal human condition but from conditions of privilege. Her books represents a powerful challenge to the notion that gender makes no difference in the construction of philosophical reasoning. At the same time, it criticizes the narrow focus of most feminist theorizing and calls for a more inclusive form of inquiry.

Machines will attain human levels of intelligence by the year 2040, predicts robotics expert Hans Moravec. And by 2050, they will have far surpassed us. In this mind-bending new book, Hans Moravec takes the reader on a roller coaster ride packed with such startling predictions. He tells us, for instance, that in the not-too-distant future, an army of robots will displace workers, causing massive, unprecedented unemployment. But then, says Moravec, a period of very comfortable existence will follow, as humans benefit (...) from a fully automated economy. And eventually, as machines evolve far beyond humanity, robots will supplant us. But if Moravec predicts the end of the domination by human beings, his is not a bleak vision. Far from railing against a future in which machines rule the world, Moravec embraces it, taking the startling view that intelligent robots will actually be our evolutionary heirs. "Intelligent machines, which will grow from us, learn our skills, and share our goals and values, can be viewed as children of our minds." And since they are our children, we will want them to outdistance us. In fact, in a bid for immortality, many of our descendants will choose to transform into "ex humans," as they upload themselves into advanced computers. We will become our children and live forever. In his provocative new book, the highly anticipated follow-up to his bestselling volume Mind Children, Moravec charts the trajectory of robotics in breathtaking detail. A must read for artificial intelligence, technology, and computer enthusiasts, Moravec's freewheeling but informed speculations present a future far different than we ever dared imagine. (shrink)

Cybernetics promoted machine-supported investigations of adaptive sensorimotor behaviours observed in biological systems. This methodological approach receives renewed attention in contemporary robotics, cognitive ethology, and the cognitive neurosciences. Its distinctive features concern machine experiments, and their role in testing behavioural models and explanations flowing from them. Cybernetic explanations of behavioural events, regularities, and capacities rely on multiply realizable mechanism schemata, and strike a sensible balance between causal and unifying constraints. The multiple realizability of cybernetic mechanism schemata paves the way to principled (...) comparisons between biological systems and machines. Various methodological issues involved in the transition from mechanism schemata to their machine instantiations are addressed here, by reference to a simple sensorimotor coordination task. These concern the proper treatment of ceteris paribus clauses in experimental settings, the significance of running experiments with correct but incomplete machine instantiations of mechanism schemata, and the advantage of operating with real machines ??? as opposed to simulated ones ??? immersed in real environments. (shrink)

Traditionally, the manufacturer/operator of a machine is held (morally and legally) responsible for the consequences of its operation. Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour any more, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine any more (which is not a (...) realistic option), or facing a responsibility gap, which cannot be bridged by traditional concepts of responsibility ascription. (shrink)

Bruno Latour was once asked : "Do you believe in reality?" This text is an attempt to answer this question.

"This fine collection of essays from a diverse group of authors expounding on a wide variety of subjects presents a generous sampling of the new philosophy of technology." —Choice "... informative, original, and provocative.... Many of the writers are major players in defining the contested political terrain of cultural, science, and technology studies as well as critical theory and Heidegger studies." —Gerald Doppelt.

_A Heidegger Dictionary_ enables the student to read Heidegger's immensely rich and varied works with understanding, and assigns him to his rightful place in both contemporary philosophy and in the history of the subject.

The early examples of self-directing robots attracted the interest of both scientific and military communities. Biologists regarded these devices as material models of animal tropisms. Engineers envisaged the possibility of turning self-directing robots into new “intelligent” torpedoes during World War I. Starting from World War II, more extensive interactions developed between theoretical inquiry and applied military research on the subject of adaptive and intelligent machinery. Pioneers of Cybernetics were involved in the development of goal-seeking warfare devices. But collaboration occasionally turned (...) into open dissent. Founder of Cybernetics Norbert Wiener, in the aftermath of World War II, argued against military applications of learning machines, by drawing on epistemological appraisals of machine learning techniques. This connection between philosophy of science and techno-ethics is both strengthened and extended here. It is strengthened by an epistemological analysis of contemporary machine learning from examples; it is extended by a reflection on ceteris paribus conditions for models of adaptive behaviours. (shrink)

As arti® cial intelligence moves ever closer to the goal of producing fully autonomous agents, the question of how to design and implement an arti® cial moral agent (AMA) becomes increasingly pressing. Robots possessing autonomous capacities to do things that are useful to humans will also have the capacity to do things that are harmful to humans and other sentient beings. Theoretical challenges to developing arti® cial moral agents result both from controversies among ethicists about moral theory itself, and from (...) computational limits to the implementation of such theories. In this paper the ethical disputes are surveyed, the possibility of a `moral Turing Test ’ is considered and the computational di culties accompanying the diŒerent types of approach are assessed. Human-like performance, which is prone to include immoral actions, may not be acceptable in machines, but moral perfection may be computationally unattainable. The risks posed by autonomous machines ignorantly or deliberately harming people and other sentient beings are great. The development of machines with enough intelligence to assess the eŒects of their actions on sentient beings and act accordingly may ultimately be the most important task faced by the designers of arti® cially intelligent automata. (shrink)