Results for 'AI creativity'

971 found
Order:
  1. 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, (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  2. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  3. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  4. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  5. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark  
  6. AI, Situatedness, Creativity, and Intelligence; or the Evolution of the Little Hearing Bones.Eric Dietrich - 1996 - J. Of Experimental and Theoretical AI 8 (1):1-6.
    Good sciences have good metaphors. Indeed, good sciences are good because they have good metaphors. AI could use more good metaphors. In this editorial, I would like to propose a new metaphor to help us understand intelligence. Of course, whether the metaphor is any good or not depends on whether it actually does help us. (What I am going to propose is not something opposed to computationalism -- the hypothesis that cognition is computation. Noncomputational metaphors are in vogue these days, (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  7. The Problem of Musical Creativity and its Relevance for Ethical and Legal Decisions towards Musical AI.Ivano Zanzarella - manuscript
    Because of its non-representational nature, music has always had familiarity with computational and algorithmic methodologies for automatic composition and performance. Today, AI and computer technology are transforming systems of automatic music production from passive means within musical creative processes into ever more autonomous active collaborators of human musicians. This raises a large number of interrelated questions both about the theoretical problems of artificial musical creativity and about its ethical consequences. Considering two of the most urgent ethical problems of Musical (...)
    Download  
     
    Export citation  
     
    Bookmark  
  8. Exploration of the creative processes in animals, robots, and AI: who holds the authorship?Jessica Lombard, Cédric Sueur, Marie Pelé, Olivier Capra & Benjamin Beltzung - 2024 - Humanities and Social Sciences Communications 11 (1).
    Picture a simple scenario: a worm, in its modest way, traces a trail of paint as it moves across a sheet of paper. Now shift your imagination to a more complex scene, where a chimpanzee paints on another sheet of paper. A simple question arises: Do you perceive an identical creative process in these two animals? Can both of these animals be designated as authors of their creation? If only one, which one? This paper delves into the complexities of authorship, (...)
    Download  
     
    Export citation  
     
    Bookmark  
  9. Imagination, Creativity, and Artificial Intelligence.Peter Langland-Hassan - 2024 - In Amy Kind & Julia Langkau (eds.), Oxford Handbook of Philosophy of Imagination and Creativity. Oxford University Press.
    This chapter considers the potential of artificial intelligence (AI) to exhibit creativity and imagination, in light of recent advances in generative AI and the use of deep neural networks (DNNs). Reasons for doubting that AI exhibits genuine creativity or imagination are considered, including the claim that the creativity of an algorithm lies in its developer, that generative AI merely reproduces patterns in its training data, and that AI is lacking in a necessary feature for creativity or (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  10. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  11. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark  
  12. AI-Related Misdirection Awareness in AIVR.Nadisha-Marie Aliman & Leon Kester - manuscript
    Recent AI progress led to a boost in beneficial applications from multiple research areas including VR. Simultaneously, in this newly unfolding deepfake era, ethically and security-relevant disagreements arose in the scientific community regarding the epistemic capabilities of present-day AI. However, given what is at stake, one can postulate that for a responsible approach, prior to engaging in a rigorous epistemic assessment of AI, humans may profit from a self-questioning strategy, an examination and calibration of the experience of their own epistemic (...)
    Download  
     
    Export citation  
     
    Bookmark  
  13. Artificial Intelligence, Creativity, and the Precarity of Human Connection.Lindsay Brainard - forthcoming - Oxford Intersections: Ai in Society.
    There is an underappreciated respect in which the widespread availability of generative artificial intelligence (AI) models poses a threat to human connection. My central contention is that human creativity is especially capable of helping us connect to others in a valuable way, but the widespread availability of generative AI models reduces our incentives to engage in various sorts of creative work in the arts and sciences. I argue that creative endeavors must be motivated by curiosity, and so they must (...)
    Download  
     
    Export citation  
     
    Bookmark  
  14. 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.
    Download  
     
    Export citation  
     
    Bookmark  
  15. Why AIs Cannot Play Games.David Koepsell - manuscript
    This paper explores the human experience of game-playing and its implications for artificial intelligence. The author uses phenomenology to examine game-playing from a human-centered perspective and applies it to language games played by artificial intelligences and humans. The paper argues that AI cannot truly play games because it lacks the intentionality, embodied experience, and social interaction that are fundamental to human game-playing. Furthermore, current AI lacks the ability to converse, which is argued to be equivalent to Wittgenstein’s view of engaging (...)
    Download  
     
    Export citation  
     
    Bookmark  
  16. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  17. AI and the New God: Breaking Solomon's Cycle.Yu Chen - manuscript
    This article explores the profound impact of Artificial Intelligence (AI) on the realm of religion, exploring the potential for AI to catalyze the birth of new world religions and break the "Solomon's Cycle." Drawing inspiration from King Solomon's timeless declaration, "There is nothing new under the sun," the article examines the challenges faced by new religions in a world dominated by established faiths and traditions. By leveraging the transformative capabilities of AI to inspire creativity, foster cross-cultural dialogue, provide ethical (...)
    Download  
     
    Export citation  
     
    Bookmark  
  18. Growing the image: Generative AI and the medium of gardening.Nick Young & Enrico Terrone - forthcoming - Philosophical Quarterly.
    In this paper, we argue that Midjourney—a generative AI program that transforms text prompts into images—should be understood not as an agent or a tool, but as a new type of artistic medium. We first examine the view of Midjourney as an agent, considering whether it could be seen as an artist or co-author. This perspective proves unsatisfactory, as Midjourney lacks intentionality and mental states. We then explore the notion of Midjourney as a tool, highlighting its unpredictability and the limited (...)
    Download  
     
    Export citation  
     
    Bookmark  
  19. “Even an AI could do that”.Emanuele Arielli - forthcoming - Http://Manovich.Net/Index.Php/Projects/Artificial-Aesthetics.
    Chapter 1 of the ongoing online publication "Artificial Aesthetics: A Critical Guide to AI, Media and Design", Lev Manovich and Emanuele Arielli -/- Book information: Assume you're a designer, an architect, a photographer, a videographer, a curator, an art historian, a musician, a writer, an artist, or any other creative professional or student. Perhaps you're a digital content creator who works across multiple platforms. Alternatively, you could be an art historian, curator, or museum professional. -/- You may be wondering how (...)
    Download  
     
    Export citation  
     
    Bookmark  
  20. Diffusing the Creator: Attributing Credit for Generative AI Outputs.Donal Khosrowi, Finola Finn & Elinor Clark - 2023 - Aies '23: Proceedings of the 2023 Aaai/Acm Conference on Ai, Ethics, and Society.
    The recent wave of generative AI (GAI) systems like Stable Diffusion that can produce images from human prompts raises controversial issues about creatorship, originality, creativity and copyright. This paper focuses on creatorship: who creates and should be credited with the outputs made with the help of GAI? Existing views on creatorship are mixed: some insist that GAI systems are mere tools, and human prompters are creators proper; others are more open to acknowledging more significant roles for GAI, but most (...)
    Download  
     
    Export citation  
     
    Bookmark  
  21. Can Artificial Intelligence (Re)Define Creativity?Dessislava Fessenko - 2022 - In EthicAI=LABS Project. Sofia: DA LAB Foundation /Goethe-institut Sofia. pp. 34-48.
    What is the essential ingredient of creativity that only humans – and not machines – possess? Can artificial intelligence help refine the notion of creativity by reference to that essential ingredient? How / do we need to redefine our conceptual and legal frameworks for rewarding creativity because of this new qualifying – actually creatively significant – factor? -/- Those are the questions tackled in this essay. The author’s conclusion is that consciousness, experiential states (such as a raw (...)
    Download  
     
    Export citation  
     
    Bookmark  
  22. Possibilities and Limitations of AI in Philosophical Inquiry Compared to Human Capabilities.Keita Tsuzuki - manuscript
    Traditionally, philosophy has been strictly a human domain, with wide applications in science and ethics. However, with the rapid advancement of natural language processing technologies like ChatGPT, the question of whether artificial intelligence can engage in philosophical thinking is becoming increasingly important. This work first clarifies the meaning of philosophy based on its historical background, then explores the possibility of AI engaging in philosophy. We conclude that AI has reached a stage where it can engage in philosophical inquiry. The study (...)
    Download  
     
    Export citation  
     
    Bookmark  
  23. Implications of Automating Science: The Possibility of Artificial Creativity and the Future of Science.Makoto Kureha - 2023 - Journal of Philosophy of Life 13 (1):44-63.
    Artificial intelligence (AI) technologies are used in various domains of human activities, and one of these domains is scientific research. Now, researchers in many scientific areas try to apply AI technologies to their research and automate it. These researchers claim that the ‘automation of science’ will liberate people from non-creative tasks in scientific research, and radically change the overall state of science and technology so that large-scale innovation results. As I see it, the automation of science is remarkable in another (...)
    Download  
     
    Export citation  
     
    Bookmark  
  24. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark  
  25. Philosophy and the Future of AI.R. L. Tripathi - 2024 - Open Access Journal of Data Science and Artificial Intelligence 2 (1):2.
    The article “Philosophy is crucial in the age of AI” by Anthony Grayling and Brian Ball explores the significant role philosophy has played in the development of Artificial Intelligence (AI) and its continuing relevance in guiding the future of AI technologies. The authors trace the historical contributions of philosophers and logicians, such as Gottlob Frege, Kurt Godel, and Alan Turing, in shaping the foundational principles of AI. They argue that philosophical inquiry remains essential, especially in addressing complex issues like consciousness, (...)
    Download  
     
    Export citation  
     
    Bookmark  
  26. Lorenzo Magnani: Discoverability—the urgent need of an ecology of human creativity[REVIEW]Jeffrey White - 2023 - AI and Society:1-2.
    Discoverability: the urgent need of an ecology of human creativity from the prolific Lorenzo Magnani is worthy of direct attention. The message may be of special interest to philosophers, ethicists and organizing scientists involved in the development of AI and related technologies which are increasingly directed at reinforcing conditions against which Magnani directly warns, namely the “overcomputationalization” of life marked by the gradual encroachment of technologically “locked strategies” into everyday decision-making until “freedom, responsibility, and ownership of our destinies” are (...)
    Download  
     
    Export citation  
     
    Bookmark  
  27. Augmented Intelligence - The New AI - Unleashing Human Capabilities in Knowledge Work.James M. Corrigan - 2012 - 2012 34Th International Conference on Software Engineering (Icse 2012).
    In this paper I describe a novel application of contemplative techniques to software engineering with the goal of augmenting the intellectual capabilities of knowledge workers within the field in four areas: flexibility, attention, creativity, and trust. The augmentation of software engineers’ intellectual capabilities is proposed as a third complement to the traditional focus of methodologies on the process and environmental factors of the software development endeavor. I argue that these capabilities have been shown to be open to improvement through (...)
    Download  
     
    Export citation  
     
    Bookmark  
  28.  72
    Machines That Create: Contingent Computation and Generative AI.M. Beatrice Fazi - 2024 - Media Theory 8 (2):1-12.
    In this article, M. Beatrice Fazi takes up Media Theory’s invitation to engage with Alan Díaz Alva’s analysis of her philosophical work on contingency in computation. The central argument of Fazi’s Contingent Computation: Abstraction, Experience, and Indeterminacy in Computational Aesthetics is that computation can be productive of ontological novelty. This piece revisits that argument in the light of the technological developments that have occurred since 2018, when the book was published. Focusing on generative artificial intelligence (generative AI), the article considers (...)
    Download  
     
    Export citation  
     
    Bookmark  
  29.  12
    Review of Souzousei wa Dokokara Yatte Kuruka [Where Does Creativity Come From]? by Yukio Pegio Gunji. [REVIEW]Osamu Kiritani - 2024 - Journal of Mind and Behavior 45 (3-4):345-348.
    Cognitive science uses artificial intelligence to model the human mind. In this book, Yukio Pegio Gunji, a Japanese theoretical biologist, proposes the notion of “traumatic structure” to capture human creativity. He suggests that creativity is difficult to model with AI because it comes from “the outside.” According to Gunji, cognitive scientists like Boden (2004) view creativity merely as a manipulation of data, and fail to capture anything that comes from the outside. He compares the outside to what (...)
    Download  
     
    Export citation  
     
    Bookmark  
  30. Criatividade, Transhumanismo e a metáfora Co-criador Criado.Eduardo R. Cruz - 2017 - Quaerentibus 5 (9):42-64.
    The goal of Transhumanism is to change the human condition through radical enhancement of its positive traits and through AI (Artificial Intelligence). Among these traits the transhumanists highlight creativity. Here we first describe human creativity at more fundamental levels than those related to the arts and sciences when, for example, childhood is taken into account. We then admit that creativity is experienced on both its bright and dark sides. In a second moment we describe attempts to improve (...)
    Download  
     
    Export citation  
     
    Bookmark  
  31.  86
    Consciousness understood as contrast, complexity and emergence.Mariusz Stanowski - 2024 - Journal of Artificial Intelligence and Consciousness 1 (1):13.
    Consciousness still remains puzzling and controversial. This paper demonstrates that at general and objective level, for understanding consciousness it is necessary to understand such fundamental concepts as contrast, interaction, complexity and emergence. New definitions of these terms are provided as they are erroneous or incomplete in their current form. The result of these investigations is the explanation that consciousness is the sensation of energy interaction (like the sensation of touch or pain), but in a more complex form. This objective explanation (...)
    Download  
     
    Export citation  
     
    Bookmark  
  32. The Curious Case of Uncurious Creation.Lindsay Brainard - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy.
    This paper seeks to answer the question: Can contemporary forms of artificial intelligence be creative? To answer this question, I consider three conditions that are commonly taken to be necessary for creativity. These are novelty, value, and agency. I argue that while contemporary AI models may have a claim to novelty and value, they cannot satisfy the kind of agency condition required for creativity. From this discussion, a new condition for creativity emerges. Creativity requires curiosity, a (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  33. Blended Cognition.Jordi Vallverdú & Vincent C. Müller (eds.) - 2019 - Cham: Springer.
    The central concept of this edited volume is "blended cognition", the natural skill of human beings for combining constantly different heuristics during their several task-solving activities. Something that was sometimes observed like a problem as “bad reasoning”, is now the central key for the understanding of the richness, adaptability and creativity of human cognition. The topic of this book connects in a significant way with the disciplines of psychology, neurology, anthropology, philosophy, logics, engineering, logics, and AI. In a nutshell: (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  34. Boring language is constraining the impact of climate science.Quan-Hoang Vuong, Minh-Hoang Nguyen & Viet-Phuong La - 2024 - Ms Thoughts.
    Language, one of humanity’s major transformative innovations, is foundational for many cultural, artistic, scientific, and economic advancements, including the creation of artificial intelligence (AI). However, in the fight against climate change, the power of such innovation is constrained due to the boring language of climate science and science communication. In this essay, we encapsulated the situation and risks of boring language in communicating climate information to the public and countering climate denialism and disinformation. Based on the Serendipity-Mindsponge-3D knowledge management framework, (...)
    Download  
     
    Export citation  
     
    Bookmark  
  35.  75
    Yapay Zekâ Görüntü Üretme Modelleri ile Film Yapımı.Doga Col - 2024 - In Ali Büyükaslan & Başak Gezmen (eds.), Edebiyat, Sinema ve İletişim. İstanbul: Çizgi Kitabevi. pp. 217 -233.
    Filmmaking with Artificial Intelligence Image Generation Models In just about one year, OpenAI’s release of ChatGPT 4 has caused panic in our daily lives. After a year, OpenAI introduced Sora, a moving image-generating model from text, similar to DALL-E for still images. Even though Sora is not yet available to the public, the very potential itself has raised issues in film production from the perspectives of producers and studios, as well as directors, actors, writers, and editors. In this chapter, the (...)
    Download  
     
    Export citation  
     
    Bookmark  
  36. Creatvity, Human and Transhuman: The Childhood Factor.Eduardo R. Cruz - 2018 - Techné: Research in Philosophy and Technology 22 (2):156-190.
    Transhumanists, like other elites in modernity, place great value on human creativity, and advances in human enhancement and AI form the basis of their propos- als for boosting it. However, there are problems with this perspective, due to the unique ways in which humans have evolved, procreated and socialized. I first describe how creativity is related to past evolution and developmental aspects in children, stressing pretend play and the ambivalent character of creativity. Then, I outline proposals for (...)
    Download  
     
    Export citation  
     
    Bookmark  
  37. Philosophy and theory of artificial intelligence 2017.Vincent C. Müller (ed.) - 2017 - Berlin: Springer.
    This book reports on the results of the third edition of the premier conference in the field of philosophy of artificial intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the University of Leeds, UK. It covers: advanced knowledge on key AI concepts, including complexity, computation, creativity, embodiment, representation and superintelligence; cutting-edge ethical issues, such as the AI impact on human dignity and society, responsibilities and rights of machines, as well as AI threats to humanity and AI (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  38. (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 (...)
    Download  
     
    Export citation  
     
    Bookmark   5 citations  
  39.  82
    Artificial Intelligence vs. Human Intelligence: Are the Boundaries Blurring?R. L. Tripathi - 2024 - Open Access Journal of Data Science and Artificial Intelligence 2 (1).
    This article focuses on the interaction between man and machine, AI specifically, to analyse how these systems are slowly taking over roles that hitherto were thought ‘only’ for humans. More recent, as AI has stepped up in ability to learn without supervision, to recognize patterns, and to solve problems, it adopted characteristics like creativity, novelty, intentionality. These events take one to the heart of what it is to be human, and the emerging definitions of self that are increasingly central (...)
    Download  
     
    Export citation  
     
    Bookmark  
  40. Techno-animism and the Pygmalion effect.Emanuele Arielli & Lev Manovich - forthcoming - Http://Manovich.Net/Index.Php/Projects/Artificial-Aesthetics.
    Chapter 3 of the ongoing publication "Artificial Aesthetics" Book information: Assume you're a designer, an architect, a photographer, a videographer, a curator, an art historian, a musician, a writer, an artist, or any other creative professional or student. Perhaps you're a digital content creator who works across multiple platforms. Alternatively, you could be an art historian, curator, or museum professional. -/- You may be wondering how AI will affect your professional area in general and your work and career. Our book (...)
    Download  
     
    Export citation  
     
    Bookmark  
  41. The Turing Guide.Jack Copeland, Jonathan Bowen, Robin Wilson & Mark Sprevak (eds.) - 2017 - Oxford: Oxford University Press.
    This volume celebrates the various facets of Alan Turing (1912–1954), the British mathematician and computing pioneer, widely considered as the father of computer science. It is aimed at the general reader, with additional notes and references for those who wish to explore the life and work of Turing more deeply. -/- The book is divided into eight parts, covering different aspects of Turing’s life and work. -/- Part I presents various biographical aspects of Turing, some from a personal point of (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  42. Machine intelligence: a chimera.Mihai Nadin - 2019 - AI and Society 34 (2):215-242.
    The notion of computation has changed the world more than any previous expressions of knowledge. However, as know-how in its particular algorithmic embodiment, computation is closed to meaning. Therefore, computer-based data processing can only mimic life’s creative aspects, without being creative itself. AI’s current record of accomplishments shows that it automates tasks associated with intelligence, without being intelligent itself. Mistaking the abstract for the concrete has led to the religion of “everything is an output of computation”—even the humankind that conceived (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  43. [deleted]Serendipity and inherent non-linear thinking can help address the climate and environmental conundrums.Quan-Hoang Vuong, Viet-Phuong La & Minh-Hoang Nguyen - 2024 - Aisdl Manuscripts.
    Humankind is currently confronted with a critical challenge that determines its very existence, not only on an individual, racial, or national level but as a whole species: the fight against climate change and environmental degradation. To win this battle, humanity needs innovations and non-linear thinking. Nature has long been a substantial information source for unthinkable discoveries that save human lives. The paper suggests that by understanding the nature, emergence, and mechanism of serendipity, the survival skill of humans, humanity can capitalize (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  44. The Nature and Origin of Language in Abhinavagupta and Sri Aurobindo.Marco Masi - manuscript
    The paper delves into the nature and origin of ideas, words, meanings, and language from the perspective of Indian mystics and philosophers Abhinavagupta and Sri Aurobindo. We begin with the Eastern viewpoint, commencing with the Vedic interpretation, in which the origin of all speech lies in the transcendent sound, known as the ‘Word’. Abhinavagupta delineates the genesis of words as a four-level process within consciousness, where mystic sounds gradually acquire concreteness in the form of human language. Sri Aurobindo extends this (...)
    Download  
     
    Export citation  
     
    Bookmark  
  45. Composing Prototypes - AISC 18.Antonio Lieto & Gian Luca Pozzato - 2018 - In Antonio Lieto & Gian Luca Pozzato (eds.), Proceedings of AISC 2018, 15th Annual Conference of the Italian Association for Cognitive Sciences The new era of Artificial Intelligence: a cognitive perspective. 27100 Pavia, Province of Pavia, Italy: pp. 8-10.
    Combining typical knowledge to generate novel concepts is an important creative trait of human cognition. Dealing with such ability requires, from an AI perspective, the harmonization of two conflicting requirements that are hardly accommodated in symbolic systems: the need of a syntactic compositionality (typical of logical systems) and that one concerning the exhibition of typicality effects (see Frixione and Lieto, 2012). In this work we provide a logical framework able to account for this type of human-like concept combination. We propose (...)
    Download  
     
    Export citation  
     
    Bookmark  
  46. Artificial Intelligence, Robots, and Philosophy.Masahiro Morioka, Shin-Ichiro Inaba, Makoto Kureha, István Zoltán Zárdai, Minao Kukita, Shimpei Okamoto, Yuko Murakami & Rossa Ó Muireartaigh - 2023 - Journal of Philosophy of Life.
    This book is a collection of all the papers published in the special issue “Artificial Intelligence, Robots, and Philosophy,” Journal of Philosophy of Life, Vol.13, No.1, 2023, pp.1-146. The authors discuss a variety of topics such as science fiction and space ethics, the philosophy of artificial intelligence, the ethics of autonomous agents, and virtuous robots. Through their discussions, readers are able to think deeply about the essence of modern technology and the future of humanity. All papers were invited and completed (...)
    Download  
     
    Export citation  
     
    Bookmark  
  47. Heidegger and Stiegler on failure and technology.Ruth Irwin - 2020 - Educational Philosophy and Theory 52 (4):361-375.
    Heidegger argues that modern technology is quantifiably different from all earlier periods because of a shift in ethos from in situ craftwork to globalised production and storage at the behest of consumerism. He argues that this shift in technology has fundamentally shaped our epistemology, and it is almost impossible to comprehend anything outside the technological enframing of knowledge. The exception is when something breaks down, and the fault ‘shows up’ in fresh ways. Stiegler has several important addendums to Heidegger’s thesis. (...)
    Download  
     
    Export citation  
     
    Bookmark   5 citations  
  48. Authenticity and co-design: On responsibly creating relational robots for children.Milo Phillips-Brown, Marion Boulicault, Jacqueline Kory-Westland, Stephanie Nguyen & Cynthia Breazeal - 2023 - In Mizuko Ito, Remy Cross, Karthik Dinakar & Candice Odgers (eds.), Algorithmic Rights and Protections for Children. MIT Press. pp. 85-121.
    Meet Tega. Blue, fluffy, and AI-enabled, Tega is a relational robot: a robot designed to form relationships with humans. Created to aid in early childhood education, Tega talks with children, plays educational games with them, solves puzzles, and helps in creative activities like making up stories and drawing. Children are drawn to Tega, describing him as a friend, and attributing thoughts and feelings to him ("he's kind," "if you just left him here and nobody came to play with him, he (...)
    Download  
     
    Export citation  
     
    Bookmark  
  49. The purpose of qualia: What if human thinking is not (only) information processing?Martin Korth - manuscript
    Despite recent breakthroughs in the field of artificial intelligence (AI) – or more specifically machine learning (ML) algorithms for object recognition and natural language processing – it seems to be the majority view that current AI approaches are still no real match for natural intelligence (NI). More importantly, philosophers have collected a long catalogue of features which imply that NI works differently from current AI not only in a gradual sense, but in a more substantial way: NI is closely related (...)
    Download  
     
    Export citation  
     
    Bookmark  
  50. Human-like Knowledge Invention: A Non Monotonic Reasoning framework.Antonio Lieto - 2023 - In Model Based Reasoning Conference, 2023, Rome. Springer.
    Inventing novel knowledge to solve problems is a crucial, creative, mechanism employed by humans, to extend their range of action. In this paper, we present TCL (typicality-based compositional logic): a probabilistic, non monotonic extension of standard Description Logics of typicality, and will show how this framework is able to endow artificial systems of a human-like, commonsense based, concept composition procedure that allows its employment in a number of applications (ranging from computational creativity to goal-based reasoning to recommender systems and (...)
    Download  
     
    Export citation  
     
    Bookmark  
1 — 50 / 971