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Authors:Hristina Ambareva Abstract: The author discusses the problem of what AI is and how we can understand the “anthropocentrism” of AI from a philosophical point of view. Three interpretations of the relationship between humans and technology are presented: 1) AI-aided human intelligence, based on the extension theory of technology (Stiegler, 1998); 2) human-aided AI intelligence, based on ideas related to political economy (Crawford, 2021); and 3) the relativity of the anthropocentric frame of reference (AFR), based on the taxonomy of species. The purpose of the article is to provide considerations of the three different interpretations of the relationship between humans and technology and how they lead to different opportunities to answer the question of how we can understand AI’s creativity. PubDate: Tue, 02 May 2023 05:01:41 GMT
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Authors:Diana Ghinea PubDate: Tue, 02 May 2023 05:01:41 GMT
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Authors:Nikoleta Kerinska Abstract: This paper questions the notion of creativity found in certain artworks produced with A.I. technologies. The artistic examples concerned are: The Giver of names by David Rokeby, Oscar by Catherine Ikam and Louis Fléri, and Emotion Vending Machine by Maurice Benayoun. These artworks were selected because they stand out for their autonomous behavior in front of the human public. In this context, creativity is revealed as a consequence of the functional autonomy, which is very typical of these pieces of art. The intention is to establish a relationship between the notion of autonomy and that of creativity, reviewing their meanings and applications in philosophy and in the field of life science. PubDate: Tue, 02 May 2023 05:01:40 GMT
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Authors:Dragolyub Dzhordzhevich Abstract: The review emphasizes the main topics and ideas in Nonka Bogomilova’s book, The Balkans: Marked Roads (1991-2016), and especially the humanist message of the book, which demolishes stereotypes and prejudices about our living space. Special attention is paid to the author’s contribution to Balkan Religious Studies as a personal, experience-based insight into the culture and characterology of the Balkans and the Balkan people. PubDate: Tue, 02 May 2023 05:01:40 GMT
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Authors:Jan Løhmann Stephensen Abstract: Recently, heated discussions about artificial intelligence, creativity, and work have re-emerged. Despite the dominant focus on the novelty of this entanglement, it is rich with history. In this paper, I will first introduce creativity as a historical and socio-culturally embedded concept, looking at how and why we have invented creativity in the guises we have. The focus will mostly be on the political and ideological backdrop of these historical processes–for instance how creativity was repeatedly cast as the positive counterimage of (industrial and bureaucratic) alienated labour, and hence stood in a complex relationship to automation, robotization, and so on. Based on this I will then discuss a series of scenarios that are related to the (perhaps) forthcoming automation of creativity, more specifically four ways in which automation might in different ways impact (the fields of) creative practices and labour. PubDate: Tue, 02 May 2023 05:01:39 GMT
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Authors:Nevena Ivanova Abstract: Art creates a specific relation to time and especially to the present moment. It opens the experience of the present towards its indeterminacy and emergence. On the contrary, AI does not know the present. It recognizes only the past and future. We could even say that artificial neural networks do not “know” time at all. Instead, they know only logical functions which process patterns of information. Yet, what makes time “time” is genuine transformation, which happens outside of the abstract realm of logic. I support these observations by analysing two works of art: Bill Viola’s The Raft (2004) and Hito Steyerl’s This Is the Future (2019). While artistic creation opens up the intervals “in-between seconds” for an unpredictable and transformative event to occur (The Raft), AI closes these intervals and fastens the future into predictability calculated on the basis of past data (This Is the Future). Although this machinic operation makes the present even more unpredictable and prone to catastrophes, its potential for transformation seems to be withdrawn. PubDate: Tue, 02 May 2023 05:01:39 GMT
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Authors:Ramazan Akan;A. Kadir Çüçen Abstract: The aim of teaching philosophy to children ultimately is not to teach them the history of philosophy, but rather to teach them to think, starting from philosophical concepts. This will help to develop high-level skills in children such as questioning, research, understanding and interpreting knowledge, establishing meaningful relationships between knowledge, creating original ideas, and problem-solving. Models of philosophizing with children have been developed, and systematic application attempts have been made, producing successful results in many countries of the world. According to Matthew Lipman, these skills should be developed at a very young age with use of the model of philosophy for children (P4C). Our aim is to show and explore how to develop and sustain creative thinking, which is one of the achievements of P4C. If Lipman is right, children participating in these activities will start to gain creative thinking skills from an early age and will apply this foundation in other knowledge acquisition processes at more advanced developmental stages. This presentation aims to reveal the interrelation between P4C and creative thinking activity. First P4C will be explained, and then creative thinking and the interrelation between the two will be expanded upon in the conclusion. PubDate: Tue, 02 May 2023 05:01:38 GMT
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Authors:Damien Charrieras Abstract: This paper proposes a deep analysis of the latest research of digital humanities scholar Beatrice Fazi, and especially her critique of computational automation, to understand the roles of digital creative technologies, and more specifically of creative software. After a close analysis of Fazi’s main contribution to a new understanding of computational aesthetics, we will briefly outline the potential implications of her work to understand the contemporary evolution of creative software, and especially the implementation of machine learning algorithms in these kinds of software. This will lead us to contextualise the contemporary anxieties regarding how machines could replace humans in the act of artistic creation. PubDate: Tue, 02 May 2023 05:01:38 GMT
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Authors:Anna Longo Abstract: Algorithms and automated learning systems have been successfully applied to produce images, pieces of music, or texts that are appealing to humans and that are often compared to artworks. Computational technologies are able to find surprising and original solutions–new patterns that humans cannot anticipate– but does this mean we ascribe to them the kind of creativity that is expressed by human artists' Even though AI can successfully detect humans’ preferences as well as select the objects that satisfy taste, can we ascribe to them the capacity of recognizing the intrinsic value of artworks' To answer these questions, I am first going to explain the kind of creativity that is expressed by contemporary predictive systems, then, in the second part of this paper, I will try to show the difference between the creativity of algorithms and the creativity of artists by expanding on Deleuze’s reflections. PubDate: Tue, 02 May 2023 05:01:37 GMT
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Authors:Chariklia Martalas Abstract: Obstructing our engagement with Computer-Generative art is an Authenticity Problem. This is where our engagement with Computer-Generative art is either seen through the prism of fantasy, such as romanticisation, or our engagement is defined by superficial inattentiveness. My aim is to show how a more fulfilling engagement is possible. This is my demonstration of the connection between Computer-Generative art and Authentic Expression. This is done by reorientating our focus away from artwork as primary and towards the artistic-process itself. I do this by conceptualising the CG-artistic-process as expressing a Cyborg Relation. My argument is that the Computer-Generative artistic-process, through the Cyborg Relation, authentically expresses our relationships with technology. PubDate: Tue, 02 May 2023 05:01:37 GMT
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Authors:Nevena Ivanova PubDate: Tue, 02 May 2023 05:01:36 GMT
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Authors:Yuk Hui Abstract: This article addresses “Creativity after Computation” by looking into the concept of artificial imagination, namely the machine’s ability to produce images that challenge artmaking and surprise human beings with the aid of machine learning algorithms. What is at stake is not only art and creativity but also the tension between the determination of machines and the freedom of human beings. This opposition restages Kant’s third antinomy in the contemporary technological condition. By referring to the debate on the question of imagination in Kant, Heidegger, and Stiegler, the article suggests that imagination is always already artificial and that it is more productive to develop an organology of artificial imagination. It clarifies the notion of artificial imagination and offers an organological reading through a reinterpretation of Leibniz’s monadology, Kant’s sublime, and Schiller’s aesthetic education against the backdrop of recursive algorithms. PubDate: Tue, 02 May 2023 05:01:36 GMT
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