Results for 'Artificial Insemination'

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  1. PRINCÍPIOS FISIOLÓGICOS REPRODUTIVOS DA FÊMEA EQUINA, APLICADOS A ABORDAGEM DA TÉCNICA DE INSEMINAÇÃO ARTIFICIAL.M. V. G. C. Brito & R. P. Novaes - 2022 - Dissertation, Unibra - Centro Universitário Brasileiro
    RESUMO O trabalho aqui desenvolvido visa analisar por meio de uma revisão de textos os princípios fisiológicos reprodutivos da fêmea equina, aplicados à abordagem da técnica de Inseminação Artificial, como descreve o tema. De maneira, a fazer uma descrição sequencial de toda trajetória da fêmea que será usada para reprodução por meio de Inseminação Artificial, descrevendo os processos que serão utilizados de maneira cuidadosa. Desta forma, o que se pretende é traçar uma linha do tempo detalhando procedimentos e (...)
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  2. TAXA DE PRENHEZ EM INSEMINAÇÃO ARTIFICIAL EM TEMPO FIXO COM REPASSE DE TOURO EM MONTA NATURAL.Ítalo de Moura Seixas Pereira, Márcio Hilário Silva Marques, Milena de Jesus Evangelista, Milton Rezende Teixeira Neto & Fabiely Gomes da Silva Nunes - 2024 - Repositório Uniftc/Vic 1 (1):1-12.
    RESUMO A inseminação artificial (IA) é a biotecnologia mais empregada com vantagens superiores em relação a utilização da monta natural, cuja eficácia se dá na larga escala de reprodução entre os bovinos. Associando essa biotécnica com hormônios pode-se estabelecer manipulações do sistema reprodutivo da fêmea, levando a manejos de inúmeras cabeças de gado para inseminar a um tempo fixo. Portanto, foram realizados 5 protocolos de IATF, tendo 2 categorias de animais: nulíparas e multíparas. No protocolo 1 foram submetidas 81 (...)
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  3. Inseminação Artificial em Tempo Fixo (IATF).Lrg de Sousa - 2023 - Dissertation, Centro Universitário Una
    A desenvolução da Inseminação Artificial em Tempo Fixo (IATF) com a utilização de protocolos que viabilizem o desenvolvimento da Inseminação Artificial (IA) em rebanhos grandes, em especial em fase de aleitamento, em vez de apenas minimizar os programas de criação para as novilhas em dissemelhantes regiões (SARTORI et al., 2018; SILVA et al., 2021). Vale et al. (2011) mencionam que, nos últimos anos, a utilização da IATF alcançou uma importante ascendência na pecuária nacional em razão desta biotecnologia propiciar (...)
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  4. METODOLOGIA E MANEJO REPRODUTIVO APLICADO EM BOVINOS LEITEIROS.Bruna Cardoso Lemes, Gabriel Destefani de Souza, Jaqueline Aparecida Sousa Pereira, Jéssica Elizei Dande, Marcelo de Figueiredo Filiardi Filho, Vinícius de Moura Ribeiro Monticeli & Elizângela Guedes - 2022 - Revista Agroveterinária Do Sul de Minas 4 (1):153-172.
    Resumo: Sabe-se que a pecuária é uma parcela do agronegócio que move a economia do país, e incluso está a produção leiteira, que tem, a cada ano seu desenvolvimento elevado, de forma em que é priorizado a eficiência no aumento de sua produção, com o objetivo de suprir a demanda, e a maior rentabilidade do produtor. Diante disso, medidas de manejo reprodutivo e alimentar são adotadas, sendo estas capazes de elevar a produtividade com o menor custo possível. O trabalho objetivou (...)
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  5. Bioethics Issues in Arab Society.Abduljaleel Alwali - 2019 - Eubios Journal of Asian and International Bioethics : EJAIB 29 (2):59-64.
    Recent bioethical issues that have emerged in the field of medicine include, but are not limited to, eugenics (artificial insemination), palliative care (end of life care), euthanasia (medical resuscitation), abortion, and the development of enhanced human body parts. These bioethical issues have raised ethical questions related to the use of modern technology and how it may affect the future of society. These questions consider issues such as: what is the identity of future children? Have human beings become a (...)
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  6. Reprodução humana assistida e suas consequências nas relações de família: a filiação e a origem genética sob a perspectiva da repersonalização.Ana Cláudia Brandão de Barros Correia Ferraz - 2009 - Curitiba: Juruá Editora.
    Estudo comparado sobre o tratamento dado à reprodução humana assistida no direito do Brasil, Estados Unidos, Portugal, Espanha e Itália.
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  7. INFLUENCE OF THE DIET ON THE ONSET OF PUBERTY IN HAIR LAMBS.Carina de Oliveira & Ana Cláudia Nascimento Campos - 2024 - Repositório Ufc 1 (1):1-13.
    Sheep production is the most representative livestock activities in Brazil and in the world. However, the reproductive performance of these animals is determined by factors genetic, physical environment, management and, especially, nutritional. Thirty half-breed lambs from Dorper × Santa Inês were used, with initial weight and age of 31.87 ± 0.5 kg and 157 days, respectively. These animals were prepared on a diet with three food levels (ad libitum, 30% and 70%). Morphometric measurements were measured at intervals of 16 to (...)
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    INFLUÊNCIA PONDERAL NA REPRODUÇÃO DE NOVILHAS HOLANDESAS E SEU IMPACTO NA PRODUÇÃO LEITEIRA.G. T. Lima & R. R. Silva - 2024 - Scientia Generalis 5 (2):519-530.
    Resumo A criação de bezerras está entre as atividades mais importantes da pecuária leiteira, pois reflete a genética e a produção do rebanho. Um bom manejo nutricional de novilhas durante a fase recria é essencial para o desenvolvimento ponderal adequado, pois melhora da função imunológica e precocidade reprodutiva. Este estudo teve como objetivo avaliar a relação do peso de novilhas holandesas com a idade na primeira inseminação artificial, primeiro parto e volume de leite produzido na primeira lactação. Foram utilizados (...)
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  9. (1 other version)Reprodução Animal: Fisiologia do Parto e da Lactação Animal.Emanuel Isaque Cordeiro da Silva -
    FISIOLOGIA DO PARTO E DA LACTAÇÃO ANIMAL -/- ANIMAL REPRODUCTION: PHISIOLOGY OF PARTURITION AND ANIMAL LACTATION -/- Emanuel Isaque Cordeiro da Silva Departamento de Zootecnia da UFRPE WhatsApp: (82)98143-8399 -/- 1. INTRODUÇÃO O sucesso biológico do processo de reprodução culmina com a sobrevivência das crias. Durante a gestação, o feto desenvolve-se no útero materno protegido das influências externas, e obtendo os nutrientes e o oxigênio através da mãe. O parto é o processo biológico que marca o fim da gestação e (...)
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  10. 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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  11. Transferência de Embriões nos Animais e a Indústria de Embriões no Brasil.Emanuel Isaque Cordeiro da Silva -
    REPRODUÇÃO ANIMAL: TRANSFERÊNCIA DE EMBRIÕES EM ANIMAIS, E A INDÚSTRIA DE EMBRIÕES NO BRASIL -/- ANIMAL BREEDING: EMBRYO TRANSFER IN ANIMALS, AND THE EMBRYO INDUSTRY IN BRAZIL Apoio: Emanuel Isaque Cordeiro da Silva Departamento de Zootecnia da UFRPE E-mail: [email protected] WhatsApp: (82)98143-8399 -/- 1. INTRODUÇÃO A técnica da inseminação artificial tornou possível aumentar o impacto na descendência de touros geneticamente superiores em termos de produção láctea das filhas. Com a transferência de embriões é possível aumentar o impacto da fêmea (...)
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  12. EFEITO DA APLICAÇÃO DO GNRH NO INÍCIO DOS PROTOCOLOS DE IATF, À BASE DE ESTRÓGENO E PROGESTERONA, SOBRE A PRENHEZ POR IATF DE VACAS LEITEIRAS MESTIÇAS.Lorrany Evelyn Tavares - 2023 - Dissertation, Universidade Federal de Uberlândia - Ufu
    RESUMO A inseminação artificial em tempo fixo (IATF) é uma das biotecnologias de reprodução mais estudadas dos últimos anos, e a busca pelo equilíbrio entre a fisiologia animal e o controle hormonal fomenta uma série de estudos. Sendo assim, o objetivo com este trabalho foi avaliar a eficiência da aplicação do hormônio liberador de gonadotrofinas (GnRH) no dia zero (D0) do protocolo de IATF, a base de estrógeno e progesterona sobre a taxa de penhez por IATF. O experimento foi (...)
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  13. Hormônios e Sistema Endócrino na Reprodução Animal.Emanuel Isaque Cordeiro da Silva & Emanuel Isaque Da Silva - manuscript
    HORMÔNIOS E SISTEMA ENDÓCRINO NA REPRODUÇÃO ANIMAL -/- OBJETIVO -/- As glândulas secretoras do corpo são estudadas pelo ramo da endocrinologia. O estudante de Veterinária e/ou Zootecnia que se preze, deverá entender os processos fisio-lógicos que interagem entre si para a estimulação das glândulas para a secreção de vários hormônios. -/- Os hormônios, dentro do animal, possuem inúmeras funções; sejam exercendo o papel sobre a nutrição, sobre a produção de leite e sobre a reprodução, os hormônios desempenham um primordial papel (...)
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  14. Aspectos da reprodução em bovinos.Deivid Marcel Souza da Silva - 2021 - Dissertation, Centro Universitário - Ages
    RESUMO A bovinocultura sempre esteve atrelada ao desenvolvimento do Brasil e, pensando no avanço, as exigências da máxima eficiência nos sistemas de criação foi pautada na forma de como conseguir realizar a reprodução de bovinos com ênfase na eficiência econômica e reprodutiva. O objetivo deste trabalho é elucidar as principais biotecnologias que auxiliam na maior produtividade reprodutiva de bovinos. Dessa forma, o estudo foi realizado usando artigos do banco de dados do Google acadêmico e SciELO, além de livros do acervo (...)
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  15. TAXA DE CONCEPÇÃO AO PRIMEIRO SERVIÇO DE VACAS LEITEIRAS EM ANESTRO PRÉ-SINCRONIZADAS.Rayssa Milena Hilgenberg - 2022 - Dissertation, Centro Universitário Campo Real
    RESUMO O presente trabalho mostra as atividades realizadas do período de 01 de julho a 01 de novembro na JRM Agropecuária. As atividades foram desenvolvidas na área de bovinocultura de leite, este trabalho foi desenvolvido sob orientação do professor mestre Rodrigo Dorneles Tortorella e supervisão do médico veterinário André Ricardo, em conjunto com o médico veterinário Breno. Durante o período de estágio foi acompanhado as atividades realizadas no setor de manejo, reprodução, bezerreiro e recria da fazenda, além de acompanhar as (...)
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  16. 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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  17. Artificial Intelligence and Its Impact on Punjabi culture.Devinder Pal Singh - 2023 - Punjab Dey Rang, Lahore, Pakistan 17 (3):5-10.
    Artificial Intelligence (AI) is a technology that makes machines smart and capable of doing things that usually require human intelligence. It is a rapidly evolving field with ongoing research and development to advance its capabilities and address its limitations. AI has permeated various aspects of our daily lives, and its applications can be found in numerous products and services. The integration of AI continues to expand across multiple sectors, providing convenience, personalization, and efficiency in our daily lives. While Punjabi (...)
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  18. Artificial Neural Network for Predicting COVID 19 Using JNN.Walaa Hasan, Mohammed S. Abu Nasser, Mohammed A. Hasaballah & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (10):41-47.
    Abstract: The emergence of the novel coronavirus (COVID-19) in 2019 has presented the world with an unprecedented global health crisis. The rapid and widespread transmission of the virus has strained healthcare systems, disrupted economies, and challenged societies. In response to this monumental challenge, the intersection of technology and healthcare has become a focal point for innovation. This research endeavors to leverage the capabilities of Artificial Neural Networks (ANNs) to develop an advanced predictive model for forecasting the spread of COVID-19. (...)
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  19. (1 other version)Artificial evil and the foundation of computer ethics.L. Floridi & J. Sanders - 2000 - Etica E Politica 2 (2).
    Moral reasoning traditionally distinguishes two types of evil: moral and natural. 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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  20. 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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  21. 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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  22. 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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  23. 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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  24. Artificial virtuous agents in a multi-agent tragedy of the commons.Jakob Stenseke - 2022 - AI and Society:1-18.
    Although virtue ethics has repeatedly been proposed as a suitable framework for the development of artificial moral agents, it has been proven difficult to approach from a computational perspective. In this work, we present the first technical implementation of artificial virtuous agents in moral simulations. First, we review previous conceptual and technical work in artificial virtue ethics and describe a functionalistic path to AVAs based on dispositional virtues, bottom-up learning, and top-down eudaimonic reward. We then provide the (...)
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  25. Artificial Neural Network for Predicting Car Performance Using JNN.Awni Ahmed Al-Mobayed, Youssef Mahmoud Al-Madhoun, Mohammed Nasser Al-Shuwaikh & Samy S. Abu-Naser - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 4 (9):139-145.
    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: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method (...)
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  26. 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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  27. 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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  28. 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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  29. 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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  30. 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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  31. Philosophy and Theory of Artificial Intelligence, 3–4 October (Report on PT-AI 2011).Vincent C. Müller - 2011 - The Reasoner 5 (11):192-193.
    Report for "The Reasoner" on the conference "Philosophy and Theory of Artificial Intelligence", 3 & 4 October 2011, Thessaloniki, Anatolia College/ACT, http://www.pt-ai.org. --- Organization: Vincent C. Müller, Professor of Philosophy at ACT & James Martin Fellow, Oxford http://www.sophia.de --- Sponsors: EUCogII, Oxford-FutureTech, AAAI, ACM-SIGART, IACAP, ECCAI.
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  32. Remark on Artificial Intelligence, humanoid and Terminator scenario: A Neutrosophic way to futurology.Victor Christianto & Florentin Smarandache - manuscript
    This article is an update of our previous article in this SGJ journal, titled: On Gödel's Incompleteness Theorem, Artificial Intelligence & Human Mind. We provide some commentary on the latest developments around AI, humanoid robotics, and future scenario. Basically, we argue that a more thoughtful approach to the future is "techno-realism.".
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  33. 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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  34. 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 reproduction. Various groups, such as (...)
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  35. 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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  36. 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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  37. 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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  38. 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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  39. 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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  40.  55
    Artificial Intelligence and the New Dynamics of Social Death: A Critical Phenomenological Inquiry.Jorge Gonzalez Arocha - manuscript
    This article examines how artificial intelligence (AI) and digital technologies are reshaping social dynamics, leading to new forms of social death. The study analyzes how AI influences social relations, identity, and agency through a critical phenomenological approach, revealing the ethical and philosophical risks these technologies entail. It argues that social death is a crucial lens for understanding AI’s impact on contemporary society, emphasizing the importance of human dignity and the need to rethink agency in an increasingly technologically mediated world.
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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 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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  43. 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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  44. The Eroding Artificial/Natural Distinction: Some Consequences for Ecology and Economics.C. Tyler DesRoches, Stephen Andrew Inkpen & Thomas L. Green - 2019 - In Michiru Nagatsu & Attilia Ruzzene (eds.), Contemporary Philosophy and Social Science: An Interdisciplinary Dialogue. London: Bloomsbury Academic. pp. 39-57.
    Since Thomas Kuhn’s The Structure of Scientific Revolutions (1962), historians and philosophers of science have paid increasing attention to the implications of disciplinarity. In this chapter we consider restrictions posed to interdisciplinary exchange between ecology and economics that result from a particular kind of commitment to the ideal of disciplinary purity, that is, that each discipline is defined by an appropriate, unique set of objects, methods, theories, and aims. We argue that, when it comes to the objects of study in (...)
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  45. 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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  46. 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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  47. 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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  48. 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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  49. 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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  50. 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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