Results for 'Inter-pretation of AI Art'

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  1. Interpreting AI-Generated Art: Arthur Danto’s Perspective on Intention, Authorship, and Creative Traditions in the Age of Artificial Intelligence.Raquel Cascales - 2023 - Polish Journal of Aesthetics 71 (4):17-29.
    Arthur C. Danto did not live to witness the proliferation of AI in artistic creation. However, his philosophy of art offers key ideas about art that can provide an interesting perspective on artwork generated by artificial intelligence (AI). In this article, I analyze how his ideas about contemporary art, intention, interpretation, and authorship could be applied to the ongoing debate about AI and artistic creation. At the same time, it is also interesting to consider whether the incorporation of AI into (...)
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  2. AI Art is Theft: Labour, Extraction, and Exploitation, Or, On the Dangers of Stochastic Pollocks.Trystan S. Goetze - 2024 - Proceedings of the 2024 Acm Conference on Fairness, Accountability, and Transparency:186-196.
    Since the launch of applications such as DALL-E, Midjourney, and Stable Diffusion, generative artificial intelligence has been controversial as a tool for creating artwork. While some have presented longtermist worries about these technologies as harbingers of fully automated futures to come, more pressing is the impact of generative AI on creative labour in the present. Already, business leaders have begun replacing human artistic labour with AI-generated images. In response, the artistic community has launched a protest movement, which argues that AI (...)
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  3. Artificial Intelligence as Art – What the Philosophy of Art can offer the understanding of AI and Consciousness.Hutan Ashrafian - manuscript
    Defining Artificial Intelligence and Artificial General Intelligence remain controversial and disputed. They stem from a longer-standing controversy of what is the definition of consciousness, which if solved could possibly offer a solution to defining AI and AGI. Central to these problems is the paradox that appraising AI and Consciousness requires epistemological objectivity of domains that are ontologically subjective. I propose that applying the philosophy of art, which also aims to define art through a lens of epistemological objectivity where the domains (...)
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  4. Review of Marcus du Sautoy's The Creativity Code: Art and Innovation in the Age of AI. [REVIEW]Scott H. Hawley - 2020 - Perspectives on Science and Christian Faith 72 (1):52-54.
    A review of Marcus du Sautoy's 2019 book, THE CREATIVITY CODE: Art and Innovation in the Age of AI, Cambridge, MA: Belknap (Harvard) Press, 2019. ISBN: 9780674988132.
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  5. Turning queries into questions: For a plurality of perspectives in the age of AI and other frameworks with limited (mind)sets.Claudia Westermann & Tanu Gupta - 2023 - Technoetic Arts 21 (1):3-13.
    The editorial introduces issue 21.1 of Technoetic Arts via a critical reflection on the artificial intelligence hype (AI hype) that emerged in 2022. Tracing the history of the critique of Large Language Models, the editorial underscores that there are substantial ethical challenges related to bias in the training data, copyright issues, as well as ecological challenges which the technology industry has consistently downplayed over the years. -/- The editorial highlights the distinction between the current AI technology’s reliance on extensive pre-existing (...)
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  6. Unveiling the Creation of AI-Generated Artworks: Broadening Worringerian Abstraction and Empathy Beyond Contemplation.Leonardo Arriagada - 2024 - Estudios Artísticos 10 (16):142-158.
    In his groundbreaking work, Abstraction and Empathy, Wilhelm Worringer delved into the intricacies of various abstract and figurative artworks, contending that they evoke distinct impulses in the human audience—specifically, the urges towards abstraction and empathy. This article asserts the presence of empirical evidence supporting the extension of Worringer’s concepts beyond the realm of art appreciation to the domain of art-making. Consequently, it posits that abstraction and empathy serve as foundational principles guiding the production of both abstract and figurative art. This (...)
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  7. Texts Without Authors: Ascribing Literary Meaning in the Case of AI.Sofie Vlaad - forthcoming - Journal of Aesthetics and Art Criticism.
    With the increasing popularity of Large Language Models (LLMs), there has been an increase in the number of AI generated literary works. In the absence of clear authors, and assuming such works have meaning, there lies a puzzle in determining who or what fixes the meaning of such texts. I give an overview of six leading theories for ascribing meaning to literary works. These are Extreme Actual Intentionalism, Modest Actual Intentionalism (1 & 2), Conventionalism, Actual Author Hypothetical Intentionalism, and Postulated (...)
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  8. Debate: What is Personhood in the Age of AI?David J. Gunkel & Jordan Joseph Wales - 2021 - AI and Society 36 (2):473–486.
    In a friendly interdisciplinary debate, we interrogate from several vantage points the question of “personhood” in light of contemporary and near-future forms of social AI. David J. Gunkel approaches the matter from a philosophical and legal standpoint, while Jordan Wales offers reflections theological and psychological. Attending to metaphysical, moral, social, and legal understandings of personhood, we ask about the position of apparently personal artificial intelligences in our society and individual lives. Re-examining the “person” and questioning prominent construals of that category, (...)
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  9. Generative AI in the Creative Industries: Revolutionizing Art, Music, and Media.Mohammed F. El-Habibi, Mohammed A. Hamed, Raed Z. Sababa, Mones M. Al-Hanjori, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research(Ijaer) 8 (10):71-74.
    Abstract: Generative AI is transforming the creative industries by redefining how art, music, and media are produced and experienced. This paper explores the profound impact of generative AI technologies, such as deep learning models and neural networks, on creative processes. By enabling artists, musicians, and content creators to collaborate with AI, these systems enhance creativity, speed up production, and generate novel forms of expression. The paper also addresses ethical considerations, including intellectual property rights, the role of human creativity in AI-assisted (...)
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  10. In Praise of Normative Science: Arts and Humanities in the Age of Artificial Intelligence (2nd edition).Helen Titilola Olojede & Etaoghene Paul Polo - 2025 - International Journal of Social Sciences and Humanities: Africa Research Corps Network (Arcn) Journals 11 (2):1-9.
    The advent of Artificial Intelligence (AI) and other digital technologies is touted as ushering in the fourth industrial revolution (4IR). 4IR, also known as ‘Industry 4.0,’ pertains to the burning internet connectivity, sophisticated analytics and production, and automation’s transformative impacts on the world. The surge of change in the production arena started in the second half of 2010 and has continued to increase astronomically, with a remarkable probability of shaping the future of manufacturing and humanity. The 4IR is thus heralding (...)
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  11. AI-aesthetics and the Anthropocentric Myth of Creativity.Emanuele Arielli & Lev Manovich - 2022 - NODES 1 (19-20).
    Since the beginning of the 21st century, technologies like neural networks, deep learning and “artificial intelligence” (AI) have gradually entered the artistic realm. We witness the development of systems that aim to assess, evaluate and appreciate artifacts according to artistic and aesthetic criteria or by observing people’s preferences. In addition to that, AI is now used to generate new synthetic artifacts. When a machine paints a Rembrandt, composes a Bach sonata, or completes a Beethoven symphony, we say that this is (...)
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  12. AI as IA: The use and abuse of artificial intelligence (AI) for human enhancement through intellectual augmentation (IA).Alexandre Erler & Vincent C. Müller - 2023 - In Fabrice Jotterand & Marcello Ienca (eds.), The Routledge Handbook of the Ethics of Human Enhancement. Routledge. pp. 187-199.
    This paper offers an overview of the prospects and ethics of using AI to achieve human enhancement, and more broadly what we call intellectual augmentation (IA). After explaining the central notions of human enhancement, IA, and AI, we discuss the state of the art in terms of the main technologies for IA, with or without brain-computer interfaces. Given this picture, we discuss potential ethical problems, namely inadequate performance, safety, coercion and manipulation, privacy, cognitive liberty, authenticity, and fairness in more detail. (...)
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  13.  77
    A New Harmonisation of Art and Technology: Philosophic Interpretations of Artificial Intelligence Art.Tao Feng - 2022 - Critical Arts 36 (1-2):110-125.
    Artificial intelligence (AI) art is the product of AI technology applied to art. In terms of technical application, AI art has two methods: symbolism and connectivism. In terms of the human-machine system, there are three levels: human using machine, human guiding machine and human-machine separation. AI art is a special form, existing between natural beauty and human art: AI art, first of all, is not a natural aesthetic object, given that it is the product of artefacts. Its appreciation is mixed (...)
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  14. AI Ethics by Design: Implementing Customizable Guardrails for Responsible AI Development.Kristina Sekrst, Jeremy McHugh & Jonathan Rodriguez Cefalu - manuscript
    This paper explores the development of an ethical guardrail framework for AI systems, emphasizing the importance of customizable guardrails that align with diverse user values and underlying ethics. We address the challenges of AI ethics by proposing a structure that integrates rules, policies, and AI assistants to ensure responsible AI behavior, while comparing the proposed framework to the existing state-of-the-art guardrails. By focusing on practical mechanisms for implementing ethical standards, we aim to enhance transparency, user autonomy, and continuous improvement in (...)
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  15. Tool, Collaborator, or Participant: AI and Artistic Agency.Anthony Cross - forthcoming - British Journal of Aesthetics.
    Artificial intelligence is now capable of generating sophisticated and compelling images from simple text prompts. In this paper, I focus specifically on how artists might make use of AI to create art. Most existing discourse analogizes AI to a tool or collaborator; this focuses our attention on AI’s contribution to the production of an artistically significant output. I propose an alternative approach, the exploration paradigm, which suggests that artists instead relate to AI as a participant: artists create a space for (...)
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  16. Exploring the Intersection of Rationality, Reality, and Theory of Mind in AI Reasoning: An Analysis of GPT-4's Responses to Paradoxes and ToM Tests.Lucas Freund - manuscript
    This paper investigates the responses of GPT-4, a state-of-the-art AI language model, to ten prominent philosophical paradoxes, and evaluates its capacity to reason and make decisions in complex and uncertain situations. In addition to analyzing GPT-4's solutions to the paradoxes, this paper assesses the model's Theory of Mind (ToM) capabilities by testing its understanding of mental states, intentions, and beliefs in scenarios ranging from classic ToM tests to complex, real-world simulations. Through these tests, we gain insight into AI's potential for (...)
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  17. AI-Completeness: Using Deep Learning to Eliminate the Human Factor.Kristina Šekrst - 2020 - In Sandro Skansi (ed.), Guide to Deep Learning Basics. Springer. pp. 117-130.
    Computational complexity is a discipline of computer science and mathematics which classifies computational problems depending on their inherent difficulty, i.e. categorizes algorithms according to their performance, and relates these classes to each other. P problems are a class of computational problems that can be solved in polynomial time using a deterministic Turing machine while solutions to NP problems can be verified in polynomial time, but we still do not know whether they can be solved in polynomial time as well. A (...)
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  18.  67
    A participatory, qualitative analysis of the use of MagicSchool AI for course design.Shantanu Tilak, Jesse Lincoln, Tara Miner, Natasha Christensen, Judy Jankowski & Kadie Kennedy - 2024 - Journal of Sociocybernetics 19 (1):43-106.
    This participatory study recounts conversational practices occurring between three teachers, a head of school, and a researcher during a month-long curriculum design workshop mediated by the MagicSchool AI technology to create social studies, language arts, science, and mathematics lessons for a virtual special education program. A social paradigm of AI-mediated educational practices is presented, wherein teachers interact with AI tools by embodying co-agency and a spirit of inquiry. Collective practices are interpreted using Gordon Pask’s conversation theory framework, showcasing how to (...)
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  19. A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences.Lode Lauwaert - 2023 - Artificial Intelligence Review 56:3473–3504.
    Since its emergence in the 1960s, Artifcial Intelligence (AI) has grown to conquer many technology products and their felds of application. Machine learning, as a major part of the current AI solutions, can learn from the data and through experience to reach high performance on various tasks. This growing success of AI algorithms has led to a need for interpretability to understand opaque models such as deep neural networks. Various requirements have been raised from diferent domains, together with numerous tools (...)
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  20. The Dynamics of Graphics in Ibibio Traditional Art.Akaninyene John Sampson - 2018 - International Journal of Art and Art History 6 (2).
    From a modernist perspective, it may be difficult to ascribe graphics to any form of traditional African art. This could be due to the embrace of western values by Africans, and of modernity on the one hand, and the overwhelming negative influence of westernization on the diverse African cultural practices, on the other hand. However, many elements of the traditional art forms are imbued with icons and symbols which expressions may be viewed as graphical in nature. This paper looks into (...)
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  21. Investigating some ethical issues of artificial intelligence in art (طرح و بررسی برخی از مسائلِ اخلاقیِ هوش مصنوعی در هنر).Ashouri Kisomi Mohammad Ali - 2024 - Metaphysics 16 (1):93-110.
    هدف از پژوهش حاضر، بررسی مسائل اخلاق هوش مصنوعی در حوزۀ هنر است. به‌این‌منظور، با تکیه بر فلسفه و اخلاق هوش مصنوعی، موضوعات اخلاقی که می‌تواند در حوزۀ هنر تأثیرگذار باشد، بررسی شده است. باتوجه‌به رشد و توسعۀ استفاده از هوش مصنوعی و ورود آن به حوزۀ هنر، نیاز است تا مباحث اخلاقی دقیق‌تر مورد توجه پژوهشگران هنر و فلسفه قرار گیرد. برای دست‌یابی به هدف پژوهش، با استفاده از روش تحلیلی‌ـ‌توصیفی، مفاهیمی همچون هوش مصنوعی، برخی تکنیک‌های آن و موضوعات (...)
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  22. AI-aesthetics and the artificial author.Emanuele Arielli - forthcoming - Proceedings of the European Society for Aesthetics.
    ABSTRACT. Consider this scenario: you discover that an artwork you greatly admire, or a captivating novel that deeply moved you, is in fact the product of artificial intelligence, not a human’s work. Would your aesthetic judgment shift? Would you perceive the work differently? If so, why? The advent of artificial intelligence (AI) in the realm of art has sparked numerous philosophical questions related to the authorship and artistic intent behind AI-generated works. This paper explores the debate between viewing AI as (...)
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  23. Can ChatGPT be an author? Generative AI creative writing assistance and perceptions of authorship, creatorship, responsibility, and disclosure.Paul Formosa, Sarah Bankins, Rita Matulionyte & Omid Ghasemi - forthcoming - AI and Society.
    The increasing use of Generative AI raises many ethical, philosophical, and legal issues. A key issue here is uncertainties about how different degrees of Generative AI assistance in the production of text impacts assessments of the human authorship of that text. To explore this issue, we developed an experimental mixed methods survey study (N = 602) asking participants to reflect on a scenario of a human author receiving assistance to write a short novel as part of a 3 (high, medium, (...)
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  24. “Excavating AI” Re-excavated: Debunking a Fallacious Account of the JAFFE Dataset.Michael J. Lyons - 2021 - arXiv 2107:1-20.
    Twenty-five years ago, my colleagues Miyuki Kamachi and Jiro Gyoba and I designed and photographed JAFFE, a set of facial expression images intended for use in a study of face perception. In 2019, without seeking permission or informing us, Kate Crawford and Trevor Paglen exhibited JAFFE in two widely publicized art shows. In addition, they published a nonfactual account of the images in the essay “Excavating AI: The Politics of Images in Machine Learning Training Sets.” The present article recounts the (...)
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  25. Social AI and The Equation of Wittgenstein’s Language User With Calvino’s Literature Machine.Warmhold Jan Thomas Mollema - 2024 - International Review of Literary Studies 6 (1):39-55.
    Is it sensical to ascribe psychological predicates to AI systems like chatbots based on large language models (LLMs)? People have intuitively started ascribing emotions or consciousness to social AI (‘affective artificial agents’), with consequences that range from love to suicide. The philosophical question of whether such ascriptions are warranted is thus very relevant. This paper advances the argument that LLMs instantiate language users in Ludwig Wittgenstein’s sense but that ascribing psychological predicates to these systems remains a functionalist temptation. Social AIs (...)
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  26. (1 other version)Can Artificial Intelligence Make Art?Elzė Sigutė Mikalonytė & Markus Kneer - 2022 - ACM Transactions on Human-Robot Interactions.
    In two experiments (total N=693) we explored whether people are willing to consider paintings made by AI-driven robots as art, and robots as artists. Across the two experiments, we manipulated three factors: (i) agent type (AI-driven robot v. human agent), (ii) behavior type (intentional creation of a painting v. accidental creation), and (iii) object type (abstract v. representational painting). We found that people judge robot paintings and human painting as art to roughly the same extent. However, people are much less (...)
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  27. The role of robotics and AI in technologically mediated human evolution: a constructive proposal.Jeffrey White - 2020 - AI and Society 35 (1):177-185.
    This paper proposes that existing computational modeling research programs may be combined into platforms for the information of public policy. The main idea is that computational models at select levels of organization may be integrated in natural terms describing biological cognition, thereby normalizing a platform for predictive simulations able to account for both human and environmental costs associated with different action plans and institutional arrangements over short and long time spans while minimizing computational requirements. Building from established research programs, the (...)
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  28. W poszukiwaniu ontologicznych podstaw prawa. Arthura Kaufmanna teoria sprawiedliwości [In Search for Ontological Foundations of Law: Arthur Kaufmann’s Theory of Justice].Marek Piechowiak - 1992 - Instytut Nauk Prawnych PAN.
    Arthur Kaufmann is one of the most prominent figures among the contemporary philosophers of law in German speaking countries. For many years he was a director of the Institute of Philosophy of Law and Computer Sciences for Law at the University in Munich. Presently, he is a retired professor of this university. Rare in the contemporary legal thought, Arthur Kaufmann's philosophy of law is one with the highest ambitions — it aspires to pinpoint the ultimate foundations of law by explicitly (...)
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  29. Quasi-Metacognitive Machines: Why We Don’t Need Morally Trustworthy AI and Communicating Reliability is Enough.John Dorsch & Ophelia Deroy - 2024 - Philosophy and Technology 37 (2):1-21.
    Many policies and ethical guidelines recommend developing “trustworthy AI”. We argue that developing morally trustworthy AI is not only unethical, as it promotes trust in an entity that cannot be trustworthy, but it is also unnecessary for optimal calibration. Instead, we show that reliability, exclusive of moral trust, entails the appropriate normative constraints that enable optimal calibration and mitigate the vulnerability that arises in high-stakes hybrid decision-making environments, without also demanding, as moral trust would, the anthropomorphization of AI and thus (...)
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  30.  49
    Risks Deriving from the Agential Profiles of Modern AI Systems.Barnaby Crook - forthcoming - In Vincent C. Müller, Aliya R. Dewey, Leonard Dung & Guido Löhr (eds.), Philosophy of Artificial Intelligence: The State of the Art. Berlin: SpringerNature.
    Modern AI systems based on deep learning are neither traditional tools nor full-blown agents. Rather, they are characterised by idiosyncratic agential profiles, i.e., combinations of agency-relevant properties. Modern AI systems lack superficial features which enable people to recognise agents but possess sophisticated information processing capabilities which can undermine human goals. I argue that systems fitting this description, when they are adversarial with respect to human users, pose particular risks to those users. To explicate my argument, I provide conditions under which (...)
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  31. AI language models cannot replace human research participants.Jacqueline Harding, William D’Alessandro, N. G. Laskowski & Robert Long - 2024 - AI and Society 39 (5):2603-2605.
    In a recent letter, Dillion et. al (2023) make various suggestions regarding the idea of artificially intelligent systems, such as large language models, replacing human subjects in empirical moral psychology. We argue that human subjects are in various ways indispensable.
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  32. The art, poetics, and grammar of technological innovation as practice, process, and performance.Coeckelbergh Mark - 2018 - AI and Society 33 (4):501-510.
    Usually technological innovation and artistic work are seen as very distinctive practices, and innovation of technologies is understood in terms of design and human intention. Moreover, thinking about technological innovation is usually categorized as “technical” and disconnected from thinking about culture and the social. Drawing on work by Dewey, Heidegger, Latour, and Wittgenstein and responding to academic discourses about craft and design, ethics and responsible innovation, transdisciplinarity, and participation, this essay questions these assumptions and examines what kind of knowledge and (...)
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  33. Every dog has its day: An in-depth analysis of the creative ability of visual generative AI.Maria Hedblom - 2024 - Cosmos+Taxis 12 (5-6):88-103.
    The recent remarkable success of generative AI models to create text and images has already started altering our perspective of intelligence and the “uniqueness” of humanity in this world. Simultaneously, arguments on why AI will never exceed human intelligence are ever-present as seen in Landgrebe and Smith (2022). To address whether machines may rule the world after all, this paper zooms in on one of the aspects of intelligence Landgrebe and Smith (2022) neglected to consider: creativity. Using Rhodes four Ps (...)
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  34. Generative AI and photographic transparency.P. D. Magnus - forthcoming - AI and Society:1-6.
    There is a history of thinking that photographs provide a special kind of access to the objects depicted in them, beyond the access that would be provided by a painting or drawing. What is included in the photograph does not depend on the photographer’s beliefs about what is in front of the camera. This feature leads Kendall Walton to argue that photographs literally allow us to see the objects which appear in them. Current generative algorithms produce images in response to (...)
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  35. The Expressive Import of Degradation and Decay in Contemporary Art.Sherri Irvin - 2022 - In Peter Miller & Soon Kai Poh (eds.), Conserving Active Matter. Bard Graduate Center - Cultura. pp. 65-79.
    Many contemporary artworks include active matter along with rules for conservation that are designed to either facilitate or prevent that matter’s degradation or decay. I discuss the mechanisms through which actual or potential states of material decay contribute to the work’s expressive import. Nelson Goodman and Catherine Elgin introduce the concepts of literal and metaphorical exemplification, which are critical to expression: a work literally exemplifies a property when it both possesses and highlights that property, and it metaphorically exemplifies a property (...)
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  36. AI’s Role in Creative Processes: A Functionalist Approach.Leonardo Arriagada & Gabriela Arriagada-Bruneau - 2022 - Odradek. Studies in Philosophy of Literature, Aesthetics, and New Media Theories 8 (1):77-110.
    From 1950 onwards, the study of creativity has not stopped. Today, AI has revitalised debates on the subject. That is especially controversial in the artworld, as the 21st century already features AI-generated artworks. Without discussing issues about AI agency, this article argues for AI’s creativity. For this, we first present a new functionalist understanding of Margaret Boden’s definition of creativity. This is followed by an analysis of empirical evidence on anthropocentric barriers in the perception of AI’s creative capabilities, which is (...)
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  37. Excavating “Excavating AI”: The Elephant in the Gallery.Michael J. Lyons - 2020 - arXiv 2009:1-15.
    Two art exhibitions, “Training Humans” and “Making Faces,” and the accompanying essay “Excavating AI: The politics of images in machine learning training sets” by Kate Crawford and Trevor Paglen, are making substantial impact on discourse taking place in the social and mass media networks, and some scholarly circles. Critical scrutiny reveals, however, a self-contradictory stance regarding informed consent for the use of facial images, as well as serious flaws in their critique of ML training sets. Our analysis underlines the non-negotiability (...)
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  38. Prosthetic Godhood and Lacan’s Alethosphere: The Psychoanalytic Significance of the Interplay of Randomness and Structure in Generative Art.Rayan Magon - 2023 - 26Th Generative Art Conference.
    Psychoanalysis, particularly as articulated by figures like Freud and Lacan, highlights the inherent division within the human subject—a schism between the conscious and unconscious mind. It could be said that this suggests that such an internal division becomes amplified in the context of generative art, where technology and algorithms are used to generate artistic expressions that are meant to emerge from the depths of the unconscious. Here, we encounter the tension between the conscious artist and the generative process itself, which (...)
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  39. Universal Metadata Standard.Andrej Poleev - 2011 - Scientific and Technical Information Processing 38 (2):119-122.
    Consciousness is based on the association of notions or a neural network. Similarly, the creation of the next generation Internet (semantic web) is impossible without attributes that allow the semantic association of documents and their integration into an information context. To achieve these goals, the Universal Metadata Standard (UMS) may serve as a basis for documentography and is functionally required for interpretation of documents by automatic operating systems.
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  40. An interpretation of the formalism of quantum mechanics in terms of realism.Arthur Jabs - 1992 - British Journal for the Philosophy of Science 43 (3):405-421.
    We present an alternative to the Copenhagen interpretation of the formalism of nonrelativistic quantum mechanics. The basic difference is that the new inter- pretation is formulated in the language of epistemological realism. It involves a change in some basic physical concepts. Elementary particles are considered as extended objects and nonlocal effects are included. The role of the new concepts in the problems of measurement and of the Einstein-Podolsky-Rosen correlations is described. Experiments to distinguish the proposed interpretation from the (...)
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  41. On the Fundamental Worldview of the Integral Culture: Integrating Science, Religion, and Art: Part Two.Attila Grandpierre - 2003 - World Futures 59 (7):535-556.
    In the present essay I suggest that the main reason why history failed to develop societies in harmony with Nature, including our internal nature as well, is that we failed to evaluate the exact basis of the factor ultimately governing our thoughts. We failed to realise that it is the worldview that ultimately governs our thoughts and through our thoughts, our actions. In this work I consider the ultimate foundations of philosophy, science, religion, and art, pointing out that they were (...)
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  42. Almighty, Freedom, and Love: Toward an Islamic Open Theology.Ebrahim Azadegan - 2024 - Open Theology 10 (1):1-14.
    This article argues in favor of Open conception of divinity and theology in Islam. In Section 1, I explain the main textual difference between traditional transcendent conception of divinity and the open conception. Then, I will demonstrate the essential elements of this theology according to the various interpretations of the texts. I will then introduce a different meaning of God’s power as freedom bestowment. Next, I will argue that open theology can be supported rationally through its capability to dissolve (...)
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  43.  70
    Exploiting the In-Distribution Embedding Space with Deep Learning and Bayesian inference for Detection and Classification of an Out-of-Distribution Malware (Extended Abstract).Tosin Ige - forthcoming - Aaai Conference.
    Current state-of-the-art out-of-distribution algorithm does not address the variation in dynamic and static behavior between malware variants from the same family as evidence in their poor performance against an out-of-distribution malware attack. We aims to address this limitation by: 1) exploitation of the in-dimensional embedding space between variants from the same malware family to account for all variations 2) exploitation of the inter-dimensional space between different malware family 3) building a deep learning-based model with a shallow neural network with (...)
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  44.  76
    Exploiting the In-Distribution Embedding Space with Deep Learning and Bayesian inference for Detection and Classification of an Out-of-Distribution Malware (Extended Abstract).Tosin ige, Christopher Kiekintveld & Aritran Piplai - forthcoming - Aaai Conferenece Proceeding.
    Current state-of-the-art out-of-distribution algorithm does not address the variation in dynamic and static behavior between malware variants from the same family as evidence in their poor performance against an out-of-distribution malware attack. We aims to address this limitation by: 1) exploitation of the in-dimensional embedding space between variants from the same malware family to account for all variations 2) exploitation of the inter-dimensional space between different malware family 3) building a deep learning-based model with a shallow neural network with (...)
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  45. Remote Art and Aesthetics: An Introduction.Ancuta Mortu, Jakub Stejskal & Mark Windsor - 2024 - British Journal of Aesthetics 64 (3).
    This introduction to the special issue of the British Journal of Aesthetics, ‘Remote Art: Engaging with Art from Distant Times and Cultures’, presents the notion of art’s remoteness in the context of debates about inter-cultural diversity. It discusses the various aspects of remoteness, how it figures in the individual contributions to the issue, and suggests possible avenues for future scholarship.
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  46. Dividing Walls and Unifying Murals: Diego Rivera and John Dewey on the Restoration of Art within Life.Terrance MacMullan - 2012 - Inter-American Journal of Philosophy 3 (2):44-59.
    English Abstract In Art as Experience, John Dewey decried the estrangement of art from lived human experience, both by artificial conceptual walls and the physical walls that secluded art within museums. Instead he argued that making and enjoying art are crucial organic functions that sustain communities and integrate individuals within their environments. In the 1920’s Diego Rivera became one of the luminaries of the Mexican muralist movement by creating frescoes that were rooted in Mexican life, both in their subject matter (...)
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  47. An Unconventional Look at AI: Why Today’s Machine Learning Systems are not Intelligent.Nancy Salay - 2020 - In LINKs: The Art of Linking, an Annual Transdisciplinary Review, Special Edition 1, Unconventional Computing. pp. 62-67.
    Machine learning systems (MLS) that model low-level processes are the cornerstones of current AI systems. These ‘indirect’ learners are good at classifying kinds that are distinguished solely by their manifest physical properties. But the more a kind is a function of spatio-temporally extended properties — words, situation-types, social norms — the less likely an MLS will be able to track it. Systems that can interact with objects at the individual level, on the other hand, and that can sustain this interaction, (...)
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  48. Handbook of Brand Semiotics.George Rossolatos (ed.) - 2015 - Kassel: Kassel University Press.
    Semiotics has been making progressively inroads into marketing research over the past thirty years. Despite the amply demonstrated conceptual appeal and empirical pertinence of semiotic perspectives in various marketing research streams, spanning consumer research, brand communications, branding and consumer cultural studies, there has been a marked deficit in terms of consolidating semiotic brand-related research under a coherent disciplinary umbrella with identifiable boundaries and research agenda. -/- The Handbook of Brand Semiotics furnishes a compass for the perplexed, a set of anchors (...)
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  49. Editorial: On modes of participation.Ioannis Bardakos, Dalila Honorato, Claudia Jacques, Claudia Westermann & Primavera de Filippi - 2021 - Technoetic Arts 19 (3):221-225.
    In nature validation for physiological and emotional bonding becomes a mode for supporting social connectivity. Similarly, in the blockchain ecosystem, cryptographic validation becomes the substrate for all interactions. In the dialogue between human and artificial intelligence (AI) agents, between the real and the virtual, one can distinguish threads of physical or mental entanglements allowing different modes of participation. One could even suggest that in all types of realities there exist frameworks that are to some extent equivalent and act as validation (...)
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  50.  78
    From AI to Octopi and Back. AI Systems as Responsive and Contested Scaffolds.Giacomo Figà-Talamanca - forthcoming - In Vincent C. Müller, Aliya R. Dewey, Leonard Dung & Guido Löhr (eds.), Philosophy of Artificial Intelligence: The State of the Art. Berlin: SpringerNature.
    In this paper, I argue against the view that existing AI systems can be deemed agents comparably to human beings or other organisms. I especially focus on the criteria of interactivity, autonomy, and adaptivity, provided by the seminal work of Luciano Floridi and José Sanders to determine whether an artificial system can be considered an agent. I argue that the tentacles of octopuses also fit those criteria. However, I argue that octopuses’ tentacles cannot be attributed agency because their behavior can (...)
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