As decision technologies become more relevant across a range of human enterprises, important questions that span technical and ethical domains arise. We refer to these technical tools as "decision technologies" because they simulate, automate, and integrate cognitive tasks via the employment of computational algorithms and forms of artificial intelligence to parse the most "beneficial" courses of action given an extensive diversity of potential options. The technology employed for hypothesis generation is part of a family of computer-based algorithms that confer putatively enhanced ability to discover, predict, and recommend novel and fruitful interrelations within and across various types and vast ranges of data. These programs engage amounts of scientific data that are insurmountable for human cognitive processing, prompting questions of whether the capability for such computer-enabled hypothesis generation can and/or will fundamentally alter creativity in scientific research and discovery. Wendling, A.: Karl Marx on Technology and Alienation.The use of computer programs to generate hypotheses for basic science research has been the touchstone of recent and growing debate. Gorokhov, V.G.: Philosophy of technology as a theory of creative technological activity. ![]() Izdatelstvo Shkoly Kulturnoy Politiki, Moscow (1995).(in Russian) Gorokhov, V.G.: The Development of Engineering from Simplicity to Complexity. Cambridge University Press, Cambridge (1999) Wenger, E.: Communities of Practice: Learning, Meaning and Identity. (ed.) A Bridge between Conceptual Frameworks. Gavrilina, E.A.: Engineering creativity: an essay on epistemological analysis. Latour, B.: Science in Action How to follow scientists and engineers through society. Marx, K.: Economic and Philosophic Manuscripts of 1844. Progress Publishers, Moscow (1959)įlorman, S.C.: The Existential Pleasures of Engineering. Reidel Publishing Company, Dordrecht and Boston (1976)Ĭoenen, C., Kazakova, A.: Utopian grammars of human-machine interaction. A Study on the Problems of Man and World. Palgrave Macmillan, Houndmills, Basingstoke (2011) Sayers, S.: Marx and Alienation: Essays on Hegelian Themes. Penguin Books (in Association with the New Left Review), Harmondsworth (1973) Foundations of the Critique of Political Economy. University of Chicago Press, Chicago (1996) Marx, K.: Economic and philosophical manuscripts. Kojève, A.: Introduction to the Reading of Hegel. Hegel, G.W.F.: The Philosophy of History. Hegel, G.W.F.: Phenomenology of the Spirit. ![]() We suggest that whether it is an engineer in a nineteenth-century factory, an engineer in a mid-twentieth-century office, or their descendants working with computer-aided design, their activity can be studied on the same methodological basis derived from these reflections, and that this opens up new perspectives for STS. From this perspective, alienated labour, although creative by its very nature, appears subjectively as a toil or necessity, and is opposed to pleasure and freedom but although the true realm of freedom begins beyond the boundaries of work, it depends on it. Against this background, it is appropriate to revisit influential reflections on creativity made by classics of modern dialectic philosophy and make them fruitful for today’s situation. ![]() However, neither the analysis of historical inventions and discoveries nor the manifold efforts to understand and foster creativity offer a guarantee of innovation success in the future, nor has a widely accepted understanding of creativity prevailed in Science and Technology Studies (STS). As a source of innovation, scientific and technological creativity has long been praised in modern society as if in a mantra.
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