Results for 'artificial gametes'

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  1. Artificial Gametes and Human Reproduction in the 21st Century: An Ethical Analysis.A. Villalba - 2024 - Reproductive Sciences.
    Artificial gametes, derived from stem cells, have the potential to enable in vitro fertilization of embryos. Currently, artificial gametes are only being generated in laboratory animals; however, considerable efforts are underway to develop artificial gametes using human cell sources. These artificial gametes are being proposed as a means to address infertility through assisted reproductive technologies. Nonetheless, the availability of artificial gametes obtained from adult organisms can potentially expand the possibilities of (...)
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  2. The Relationship of Gametes to Those Who Procreate and Its Impact on Artificially Generated Gamete Technologies.Michal Pruski - 2017 - Ethics and Medicine 33 (1):27-41.
    Current developments in reproductive technology forecast that in the foreseeable future artificially generated gametes might be presented as a possible fertility treatment for infertile couples and for homosexual couples desiring to have children genetically originating from both partners. It is important to evaluate the ethical issues connected to this technology before its emergence. This article first reviews the meaning that gametes (sperm and eggs) might have to those who procreate, as well as their ontology. From this, suggestions are (...)
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  3. Multiplex parenting: IVG and the generations to come.César Palacios-González, John Harris & Giuseppe Testa - 2014 - Journal of Medical Ethics 40 (11):752-758.
    Recent breakthroughs in stem cell differentiation and reprogramming suggest that functional human gametes could soon be created in vitro. While the ethical debate on the uses of in vitro generated gametes (IVG) was originally constrained by the fact that they could be derived only from embryonic stem cell lines, the advent of somatic cell reprogramming, with the possibility to easily derive human induced pluripotent stem cells from any individual, affords now a major leap in the feasibility of IVG (...)
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  4. Transporte de Gametas, Fertilização e Segmentação.Emanuel Isaque Cordeiro da Silva - manuscript
    TRANSPORTE DE GAMETAS, FERTILIZAÇÃO E SEGMENTAÇÃO -/- • _____OBJETIVO -/- O entendimento do desenvolvimento embrionário nos estágios iniciais, desde a deposição dos espermatozoides na fêmea, passando pela fertilização deste no ovócito e na formação do zigoto, é de suma importância para diferenciar especialistas em reprodução e manejo reprodutivo no mercado de trabalho e, também, durante a vida acadêmica. Compreender os processos que levam à formação do zigoto na fêmea é essencial para avaliar a capacidade reprodutiva dos animais e, mediante técnicas, (...)
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  5. Are sexes natural kinds?Muhammad Ali Khalidi - 2017 - In Shamik Dasgupta, Brad Weslake & Ravit Dotan (eds.), Current Controversies in Philosophy of Science. London: Routledge. pp. 163-176.
    Asking whether the sexes are natural kinds amounts to asking whether the categories, female and male, identify real divisions in nature, like the distinctions between biological species, or whether they mark merely artificial or arbitrary distinctions. The distinction between females and males in the animal kingdom is based on the relative size of the gametes they produce, with females producing larger gametes (ova) and males producing smaller gametes (sperm). This chapter argues that the properties of producing (...)
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  6. Gametogênese Animal: Espermatogênese e Ovogênese.Emanuel Isaque Cordeiro da Silva - manuscript
    GAMETOGÊNESE -/- Emanuel Isaque Cordeiro da Silva Instituto Agronômico de Pernambuco Departamento de Zootecnia – UFRPE Embrapa Semiárido -/- • _____OBJETIVO -/- Os estudantes bem informados, estão a buscando conhecimento a todo momento. O estudante de Veterinária e Zootecnia, sabe que a Reprodução é uma área de primordial importância para sua carreira. Logo, o conhecimento da mesma torna-se indispensável. No primeiro trabalho da série fisiologia reprodutiva dos animais domésticos, foi abordado de forma clara, didática e objetiva os mecanismos de diferenciação (...)
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  7. Artificial Neural Network for Forecasting Car Mileage per Gallon in the City.Mohsen Afana, Jomana Ahmed, Bayan Harb, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2018 - International Journal of Advanced Science and Technology 124:51-59.
    In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with (...)
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  8. (1 other version)Donating gametes for research and therapy: a reply to Donald Evans.Donna Dickenson - 1997 - Journal of Medical Ethics 23 (2):93-95.
    There has been a troublesome anomaly in the UK between cash payment to men for sperm donation and the effective assumption that women will pay to donate eggs. Some commentators, including Donald Evans in this journal, have argued that the anomaly should be resolved by treating women on the same terms as men. But this argument ignores important difficulties about property in the body, particularly in relation to gametes. There are good reasons for thinking that the contract model and (...)
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  9.  59
    Stolen Gametes and Mereorganic Continuity.Konstantin Morozov - 2024 - Omsk Scientific Bulletin. Series Society. History. Modernity 9 (3):110-117.
    The article is a commentary on the work of Roman Kochnev Teletransporter and Other Troubles, which is a critical remark on the work of Alexey Kardash Teletransporter and Origami. First, the article reconstructs Kardash’s argument against survival in Parfit’s teletransporter, as well as Kochnev’s criticism. Next, the principle of mereorganic continuity proposed by Kardash is defended as a condition for the survival of the person. To answer Kochnev’s criticism, examples of stolen gametes are simulated, which demonstrate that mereorganic continuity (...)
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  10. Well-being, Gamete Donation, and Genetic Knowledge: The Significant Interest View.Daniel Groll - 2021 - Journal of Medicine and Philosophy 46 (6):758-781.
    The Significant Interest view entails that even if there were no medical reasons to have access to genetic knowledge, there would still be reason for prospective parents to use an identity-release donor as opposed to an anonymous donor. This view does not depend on either the idea that genetic knowledge is profoundly prudentially important or that donor-conceived people have a right to genetic knowledge. Rather, it turns on general claims about parents’ obligations to help promote their children’s well-being and the (...)
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  11. Predicting Tumor Category Using Artificial Neural Networks.Ibrahim M. Nasser & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (2):1-7.
    In this paper an Artificial Neural Network (ANN) model, for predicting the category of a tumor was developed and tested. Taking patients’ tests, a number of information gained that influence the classification of the tumor. Such information as age, sex, histologic-type, degree-of-diffe, status of bone, bone-marrow, lung, pleura, peritoneum, liver, brain, skin, neck, supraclavicular, axillar, mediastinum, and abdominal. They were used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was established and trained (...)
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  12. Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions.Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lecue, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith & Simone Stumpf - 2024 - Information Fusion 106 (June 2024).
    As systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications, understanding these black box models has become paramount. In response, Explainable AI (XAI) has emerged as a field of research with practical and ethical benefits across various domains. This paper not only highlights the advancements in XAI and its application in real-world scenarios but also addresses the ongoing challenges within XAI, emphasizing the need for broader perspectives and collaborative efforts. We bring together experts from (...)
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  13. Artificial intelligence and the ‘Good Society’: the US, EU, and UK approach.Corinne Cath, Sandra Wachter, Brent Mittelstadt, Mariarosaria Taddeo & Luciano Floridi - 2018 - Science and Engineering Ethics 24 (2):505-528.
    In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of artificial intelligence. In this article, we provide a comparative assessment of these three reports in order to facilitate the design of policies favourable to the development of a ‘good AI society’. To do so, we examine how each report addresses the following three topics: the development of a (...)
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  14. Artificial moral agents are infeasible with foreseeable technologies.Patrick Chisan Hew - 2014 - Ethics and Information Technology 16 (3):197-206.
    For an artificial agent to be morally praiseworthy, its rules for behaviour and the mechanisms for supplying those rules must not be supplied entirely by external humans. Such systems are a substantial departure from current technologies and theory, and are a low prospect. With foreseeable technologies, an artificial agent will carry zero responsibility for its behavior and humans will retain full responsibility.
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  15. Artificial consciousness: a perspective from the free energy principle.Wanja Wiese - 2024 - Philosophical Studies 181:1947–1970.
    Does the assumption of a weak form of computational functionalism, according to which the right form of neural computation is sufficient for consciousness, entail that a digital computational simulation of such neural computations is conscious? Or must this computational simulation be implemented in the right way, in order to replicate consciousness? From the perspective of Karl Friston’s free energy principle, self-organising systems (such as living organisms) share a set of properties that could be realised in artificial systems, but are (...)
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  16. Developing Artificial Human-Like Arithmetical Intelligence (and Why).Markus Pantsar - 2023 - Minds and Machines 33 (3):379-396.
    Why would we want to develop artificial human-like arithmetical intelligence, when computers already outperform humans in arithmetical calculations? Aside from arithmetic consisting of much more than mere calculations, one suggested reason is that AI research can help us explain the development of human arithmetical cognition. Here I argue that this question needs to be studied already in the context of basic, non-symbolic, numerical cognition. Analyzing recent machine learning research on artificial neural networks, I show how AI studies could (...)
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  17. Artificial Forms of Life.Sebastian Sunday Grève - 2023 - Philosophies 8 (5).
    The logical problem of artificial intelligence—the question of whether the notion sometimes referred to as ‘strong’ AI is self-contradictory—is, essentially, the question of whether an artificial form of life is possible. This question has an immediately paradoxical character, which can be made explicit if we recast it (in terms that would ordinarily seem to be implied by it) as the question of whether an unnatural form of nature is possible. The present paper seeks to explain this paradoxical kind (...)
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  18. Is Artificial General Intelligence Impossible?William J. Rapaport - 2024 - Cosmos+Taxis 12 (5+6):5-22.
    In their Why Machines Will Never Rule the World, Landgrebe and Smith (2023) argue that it is impossible for artificial general intelligence (AGI) to succeed, on the grounds that it is impossible to perfectly model or emulate the “complex” “human neurocognitive system”. However, they do not show that it is logically impossible; they only show that it is practically impossible using current mathematical techniques. Nor do they prove that there could not be any other kinds of theories than those (...)
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  19. The Artificial Sublime.Regina Rini - manuscript
    Generative AI systems like ChatGPT and Midjourney can produce prose or images. But can they produce art? I argue that this question, though natural and intriguing, is the wrong one to ask. A better question is this: can generative AI yield distinct or novel forms of aesthetic value? And I argue that the answer is yes. Generative AI can be used to put us in contact with the artificial sublime – a type of aesthetic value that Kant famously argues (...)
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  20. Guilty Artificial Minds: Folk Attributions of Mens Rea and Culpability to Artificially Intelligent Agents.Michael T. Stuart & Markus Https://Orcidorg Kneer - 2021 - Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2).
    While philosophers hold that it is patently absurd to blame robots or hold them morally responsible [1], a series of recent empirical studies suggest that people do ascribe blame to AI systems and robots in certain contexts [2]. This is disconcerting: Blame might be shifted from the owners, users or designers of AI systems to the systems themselves, leading to the diminished accountability of the responsible human agents [3]. In this paper, we explore one of the potential underlying reasons for (...)
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  21. Leveraging Artificial Intelligence for Strategic Business Decision-Making: Opportunities and Challenges.Mohammed Hazem M. Hamadaqa, Mohammad Alnajjar, Mohammed N. Ayyad, Mohammed A. Al-Nakhal, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (8):16-23.
    Abstract: Artificial Intelligence (AI) has rapidly evolved, offering transformative capabilities for business decision-making. This paper explores how AI can be leveraged to enhance strategic decision-making in business contexts. It examines the integration of AI-driven analytics, predictive modeling, and automation to improve decision accuracy and operational efficiency. By analyzing current applications and case studies, the paper highlights the opportunities AI presents, including enhanced data insights, risk management, and personalized customer experiences. Additionally, it addresses the challenges businesses face in adopting AI, (...)
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  22. Artificial intelligence, deepfakes and a future of ectypes.Luciano Floridi - 2018 - Philosophy and Technology 31 (3):317-321.
    AI, especially in the case of Deepfakes, has the capacity to undermine our confidence in the original, genuine, authentic nature of what we see and hear. And yet digital technologies, in the form of databases and other detection tools also make it easier to spot forgeries and to establish the authenticity of a work. Using the notion of ectypes, this paper discusses current conceptions of authenticity and reproduction and examines how, in the future, these might be adapted for use in (...)
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  23. Artificial thinking and doomsday projections: a discourse on trust, ethics and safety.Jeffrey White, Dietrich Brandt, Jan Söffner & Larry Stapleton - 2023 - AI and Society 38 (6):2119-2124.
    The article reflects on where AI is headed and the world along with it, considering trust, ethics and safety. Implicit in artificial thinking and doomsday appraisals is the engineered divorce from reality of sublime human embodiment. Jeffrey White, Dietrich Brandt, Jan Soeffner, and Larry Stapleton, four scholars associated with AI & Society, address these issues, and more, in the following exchange.
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  24. Artificial Psychology.Jay Friedenberg - 2008 - Psychology Press.
    What does it mean to be human? Philosophers and theologians have been wrestling with this question for centuries. Recent advances in cognition, neuroscience, artificial intelligence and robotics have yielded insights that bring us even closer to an answer. There are now computer programs that can accurately recognize faces, engage in conversation, and even compose music. There are also robots that can walk up a flight of stairs, work cooperatively with each other and express emotion. If machines can do everything (...)
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  25. Artificial Intelligence in Agriculture: Enhancing Productivity and Sustainability.Mohammed A. Hamed, Mohammed F. El-Habib, Raed Z. Sababa, Mones M. Al-Hanjor, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Engineering and Information Systems (IJEAIS) 8 (8):1-8.
    Abstract: Artificial Intelligence (AI) is revolutionizing the agricultural sector by enhancing productivity and sustainability. This paper explores the transformative impact of AI technologies on agriculture, focusing on their applications in precision farming, predictive analytics, and automation. AI-driven tools enable more efficient management of crops and resources, leading to improved yields and reduced environmental impact. The paper examines key AI technologies, including machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. (...)
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  26. 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 (...)
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  27. On the morality of artificial agents.Luciano Floridi & J. W. Sanders - 2004 - Minds and Machines 14 (3):349-379.
    Artificial agents (AAs), particularly but not only those in Cyberspace, extend the class of entities that can be involved in moral situations. For they can be conceived of as moral patients (as entities that can be acted upon for good or evil) and also as moral agents (as entities that can perform actions, again for good or evil). In this paper, we clarify the concept of agent and go on to separate the concerns of morality and responsibility of agents (...)
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  28. Artificial Beings Worthy of Moral Consideration in Virtual Environments: An Analysis of Ethical Viability.Stefano Gualeni - 2020 - Journal of Virtual Worlds Research 13 (1).
    This article explores whether and under which circumstances it is ethically viable to include artificial beings worthy of moral consideration in virtual environments. In particular, the article focuses on virtual environments such as those in digital games and training simulations – interactive and persistent digital artifacts designed to fulfill specific purposes, such as entertainment, education, training, or persuasion. The article introduces the criteria for moral consideration that serve as a framework for this analysis. Adopting this framework, the article tackles (...)
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  29. Understanding Artificial Agency.Leonard Dung - forthcoming - Philosophical Quarterly.
    Which artificial intelligence (AI) systems are agents? To answer this question, I propose a multidimensional account of agency. According to this account, a system's agency profile is jointly determined by its level of goal-directedness and autonomy as well as is abilities for directly impacting the surrounding world, long-term planning and acting for reasons. Rooted in extant theories of agency, this account enables fine-grained, nuanced comparative characterizations of artificial agency. I show that this account has multiple important virtues and (...)
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  30. The "Artificial Mathematician" Objection: Exploring the (Im)possibility of Automating Mathematical Understanding.Sven Delarivière & Bart Van Kerkhove - 2017 - In B. Sriraman (ed.), Humanizing Mathematics and its Philosophy. Birkhäuser. pp. 173-198.
    Reuben Hersh confided to us that, about forty years ago, the late Paul Cohen predicted to him that at some unspecified point in the future, mathematicians would be replaced by computers. Rather than focus on computers replacing mathematicians, however, our aim is to consider the (im)possibility of human mathematicians being joined by “artificial mathematicians” in the proving practice—not just as a method of inquiry but as a fellow inquirer.
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  31. Affective Artificial Agents as sui generis Affective Artifacts.Marco Facchin & Giacomo Zanotti - 2024 - Topoi 43 (3).
    AI-based technologies are increasingly pervasive in a number of contexts. Our affective and emotional life makes no exception. In this article, we analyze one way in which AI-based technologies can affect them. In particular, our investigation will focus on affective artificial agents, namely AI-powered software or robotic agents designed to interact with us in affectively salient ways. We build upon the existing literature on affective artifacts with the aim of providing an original analysis of affective artificial agents and (...)
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  32. Beneficial Artificial Intelligence Coordination by means of a Value Sensitive Design Approach.Steven Umbrello - 2019 - Big Data and Cognitive Computing 3 (1):5.
    This paper argues that the Value Sensitive Design (VSD) methodology provides a principled approach to embedding common values in to AI systems both early and throughout the design process. To do so, it draws on an important case study: the evidence and final report of the UK Select Committee on Artificial Intelligence. This empirical investigation shows that the different and often disparate stakeholder groups that are implicated in AI design and use share some common values that can be used (...)
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  33. Is artificial intelligence the harbinger of a new natural absurdity era?Minh-Hoang Nguyen & Quan-Hoang Vuong - manuscript
    AI has strengths that humans cannot replicate, such as scalability, speed, and automation, but this must not mean that we depend entirely on AI for intellectual advancement. For a future where humans coexist with advanced AI, we must acknowledge the existence of intrinsic natural stupidity and absurdity of humans and take them into consideration. Otherwise, increasing the information and processing capabilities of AI may amplify the magnitude of humans’ poor decisions and their consequences, but not the other way around.
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  34. Chimeras intended for human gamete production: an ethical alternative?César Palacios-González - 2017 - Reproductive Biomedicine Online 35 (4):387-390.
    Human eggs for basic, fertility and stem-cell research are in short supply. Many experiments that require their use cannot be carried out at present, and, therefore, the benefits that could emerge from these are either delayed or never materialise. This state of affairs is problematic for scientists and patients worldwide, and it is a matter that needs our attention. Recent advances in chimera research have opened the possibility of creating human/non-human animal chimeras intended for human gamete production (chimeras-IHGP). In this (...)
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  35. Artificial Intelligence and Legal Disruption: A New Model for Analysis.John Danaher, Hin-Yan Liu, Matthijs Maas, Luisa Scarcella, Michaela Lexer & Leonard Van Rompaey - forthcoming - Law, Innovation and Technology.
    Artificial intelligence (AI) is increasingly expected to disrupt the ordinary functioning of society. From how we fight wars or govern society, to how we work and play, and from how we create to how we teach and learn, there is almost no field of human activity which is believed to be entirely immune from the impact of this emerging technology. This poses a multifaceted problem when it comes to designing and understanding regulatory responses to AI. This article aims to: (...)
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  36. Artificial Intelligence 2024 - 2034: What to expect in the next ten years.Demetrius Floudas - 2024 - 'Agi Talks' Series at Daniweb.
    In this public communication, AI policy theorist Demetrius Floudas introduces a novel era classification for the AI epoch and reveals the hidden dangers of AGI, predicting the potential obsolescence of humanity. In retort, he proposes a provocative International Control Treaty. -/- According to this scheme, the age of AI will unfold in three distinct phases, introduced here for the first time. An AGI Control & non-Proliferation Treaty may be humanity’s only safeguard. This piece aims to provide a publicly accessible exposé (...)
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  37. Is Artificial Intelligence A Threat?Ruel F. Pepa - manuscript
    On the one hand, people have witnessed a lot of amazing technological inventions and innovations in the multifaceted performances of artificial intelligence systems ever since the earliest stages of their development. Activities previously done with a lot of manual and muscular efforts are now accomplished with no sweat and just at the tip of one’s finger. I would venture to say that artificial intelligence is among the highest scientific and technological achievements of humanity in the post-modern civilization. Yet (...)
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  38. Artificial Intelligence: Arguments for Catastrophic Risk.Adam Bales, William D'Alessandro & Cameron Domenico Kirk-Giannini - 2024 - Philosophy Compass 19 (2):e12964.
    Recent progress in artificial intelligence (AI) has drawn attention to the technology’s transformative potential, including what some see as its prospects for causing large-scale harm. We review two influential arguments purporting to show how AI could pose catastrophic risks. The first argument — the Problem of Power-Seeking — claims that, under certain assumptions, advanced AI systems are likely to engage in dangerous power-seeking behavior in pursuit of their goals. We review reasons for thinking that AI systems might seek power, (...)
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  39. May Artificial Intelligence take health and sustainability on a honeymoon? Towards green technologies for multidimensional health and environmental justice.Cristian Moyano-Fernández, Jon Rueda, Janet Delgado & Txetxu Ausín - 2024 - Global Bioethics 35 (1).
    The application of Artificial Intelligence (AI) in healthcare and epidemiology undoubtedly has many benefits for the population. However, due to its environmental impact, the use of AI can produce social inequalities and long-term environmental damages that may not be thoroughly contemplated. In this paper, we propose to consider the impacts of AI applications in medical care from the One Health paradigm and long-term global health. From health and environmental justice, rather than settling for a short and fleeting green honeymoon (...)
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  40. Artificial Intelligence and Neuroscience Research: Theologico-Philosophical Implications for the Christian Notion of the Human Person.Justin Nnaemeka Onyeukaziri - 2023 - Maritain Studies/Etudes Maritainiennes 39:85-103.
    This paper explores the theological and philosophical implications of artificial intelligence (AI) and Neuroscience research on the Christian’s notion of the human person. The paschal mystery of Christ is the intuitive foundation of Christian anthropology. In the intellectual history of the Christianity, Platonism and Aristotelianism have been employed to articulate the Christian philosophical anthropology. The Aristotelian systematization has endured to this era. Since the modern period of the Western intellectual history, Aristotelianism has been supplanted by the positive sciences as (...)
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  41. Artificial Wombs, Birth, and "Birth": A Response to Romanis.Nicholas Colgrove - 2019 - Journal of Medical Ethics:medethics-2019-105845.
    Recently, I argued that human subjects in artificial wombs (AWs) “share the same moral status as newborns” and so, deserve the same treatment and protections as newborns. This thesis rests on two claims: (A) “Subjects of partial ectogenesis—those that develop in utero for at time before being transferred to AWs—are newborns,” and (B) “Subjects of complete ectogenesis—those who develop in AWs entirely—share the same moral status as newborns.” In response, Elizabeth Chloe Romanis argued that the subject in an AW (...)
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  42. Artificial Speech and Its Authors.Philip J. Nickel - 2013 - Minds and Machines 23 (4):489-502.
    Some of the systems used in natural language generation (NLG), a branch of applied computational linguistics, have the capacity to create or assemble somewhat original messages adapted to new contexts. In this paper, taking Bernard Williams’ account of assertion by machines as a starting point, I argue that NLG systems meet the criteria for being speech actants to a substantial degree. They are capable of authoring original messages, and can even simulate illocutionary force and speaker meaning. Background intelligence embedded in (...)
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  43. Implementing artificial consciousness.Leonard Dung & Luke Kersten - 2024 - Mind and Language 40 (1):1-21.
    Implementationalism maintains that conventional, silicon-based artificial systems are not conscious because they fail to satisfy certain substantive constraints on computational implementation. In this article, we argue that several recently proposed substantive constraints are implausible, or at least are not well-supported, insofar as they conflate intuitions about computational implementation generally and consciousness specifically. We argue instead that the mechanistic account of computation can explain several of the intuitions driving implementationalism and noncomputationalism in a manner which is consistent with artificial (...)
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  44. Artificial moral experts: asking for ethical advice to artificial intelligent assistants.Blanca Rodríguez-López & Jon Rueda - 2023 - AI and Ethics.
    In most domains of human life, we are willing to accept that there are experts with greater knowledge and competencies that distinguish them from non-experts or laypeople. Despite this fact, the very recognition of expertise curiously becomes more controversial in the case of “moral experts”. Do moral experts exist? And, if they indeed do, are there ethical reasons for us to follow their advice? Likewise, can emerging technological developments broaden our very concept of moral expertise? In this article, we begin (...)
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  45. Artificial Evil and the Foundation of Computer Ethics.Luciano Floridi & J. W. Sanders - 2001 - Springer Netherlands. Edited by Luciano Floridi & J. W. Sanders.
    Moral reasoning traditionally distinguishes two types of evil:moral (ME) and natural (NE). The standard view is that ME is the product of human agency and so includes phenomena such as war,torture and psychological cruelty; that NE is the product of nonhuman agency, and so includes natural disasters such as earthquakes, floods, disease and famine; and finally, that more complex cases are appropriately analysed as a combination of ME and NE. Recently, as a result of developments in autonomous agents in cyberspace, (...)
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  46.  77
    Τεχνητή νοημοσύνη και εκφραστικότητα: η αναγκαιότητα περάσματος της εννοιολογικής γνώσης από το μονοπάτι της αισθητικής εποπτείας (Artificial Intelligence and expressiveness: The necessity for conceptual knowledge to go through the path of aesthetic perception). [REVIEW]Dimitrios Dacrotsis - 2024 - Days of Art in Greece 16:43-55.
    Δ.Δακρότσης, «Τεχνητή νοημοσύνη και εκφραστικότητα: η αναγκαιότητα περάσματος της εννοιολογικής γνώσης από το μονοπάτι της αισθητικής εποπτείας» (Artificial Intelligence and expressiveness: The necessity for conceptual knowledge to go through the path of aesthetic perception), Days of Art in Greece, Τεύχος 18, Φθινόπωρο 2024, σς 26-39.
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  47. Artificial life and ‘nature’s purposes’: The question of behavioral autonomy.Elena Popa - 2019 - Human Affairs 30 (4):587-596.
    This paper investigates the concept of behavioral autonomy in Artificial Life by drawing a parallel to the use of teleological notions in the study of biological life. Contrary to one of the leading assumptions in Artificial Life research, I argue that there is a significant difference in how autonomous behavior is understood in artificial and biological life forms: the former is underlain by human goals in a way that the latter is not. While behavioral traits can be (...)
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  48. (1 other version)Artificial intelligence crime: an interdisciplinary analysis of foreseeable threats and solutions.Thomas C. King, Nikita Aggarwal, Mariarosaria Taddeo & Luciano Floridi - 2019 - Science and Engineering Ethics 26 (1):89-120.
    Artificial intelligence research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI technologies to facilitate criminal acts, term in this article AI-Crime. AIC is theoretically feasible thanks to published experiments in automating fraud targeted at social media users, as well as demonstrations of AI-driven manipulation of simulated markets. However, because AIC is still a relatively young and (...)
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  49. The Artificial Cell, the Semipermeable Membrane, and the Life that Never Was, 1864–1901.Daniel Liu - 2019 - Historical Studies in the Natural Sciences 49 (5):504-555.
    Since the early nineteenth century a membrane or wall has been central to the cell’s identity as the elementary unit of life. Yet the literally and metaphorically marginal status of the cell membrane made it the site of clashes over the definition of life and the proper way to study it. In this article I show how the modern cell membrane was conceived of by analogy to the first “artificial cell,” invented in 1864 by the chemist Moritz Traube (1826–1894), (...)
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  50. Artificial Intelligence Systems, Responsibility and Agential Self-Awareness.Lydia Farina - 2022 - In Vincent C. Müller (ed.), Philosophy and Theory of Artificial Intelligence 2021. Berlin: Springer. pp. 15-25.
    This paper investigates the claim that artificial Intelligence Systems cannot be held morally responsible because they do not have an ability for agential self-awareness e.g. they cannot be aware that they are the agents of an action. The main suggestion is that if agential self-awareness and related first person representations presuppose an awareness of a self, the possibility of responsible artificial intelligence systems cannot be evaluated independently of research conducted on the nature of the self. Focusing on a (...)
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