Results for 'Vagina artificial'

998 found
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  1. Reprodução Animal: Inseminação Artificial.Emanuel Isaque Cordeiro da Silva -
    REPRODUÇÃO ANIMAL: INSEMINAÇÃO ARTIFICIAL -/- ANIMAL BREEDING: ARTIFICIAL INSEMINATION -/- Emanuel Isaque Cordeiro da Silva Departamento de Zootecnia da UFRPE E-mail: [email protected] WhatsApp: (82)98143-8399 -/- 1. INTRODUÇÃO A inseminação artificial impôs-se em todo o mundo como um método de grande interesse do ponto de vista zootécnico e econômico, incrementando os rendimentos produtivos através da melhoria acelerada e da uniformidade no reagrupamento das populações. Os resultados positivos obtidos nestas últimas décadas testemunham esta possibilidade, válida tanto para os países (...)
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  2. Técnica da Inseminação Artificial em Bovinos: Manejo Passo a Passo.Emanuel Isaque Cordeiro da Silva - manuscript
    GERENCIAMENTO DA REPRODUÇÃO: ETAPAS E TÉCNICAS PARA REALIZAÇÃO DA INSEMINAÇÃO ARTIFICIAL -/- Emanuel Isaque Cordeiro da Silva Técnico em Agropecuária – Normalista e Acadêmico em Zootecnia Departamento de Zootecnia da UFRPE E-mail: [email protected] WhatsApp: (82)98143-8399 -/- 1. INTRODUÇÃO -/- O método mais comumente usado para realizar inseminação artificial (IA) em bovinos é a técnica retovaginal. O conhecimento essencial para realizar esta técnica pode ser obtido com cerca de 3 dias de prática, sob a supervisão e instrução de um (...)
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  3. Fertilidade em Vacas Leiteiras: Fisiologia e Manejo.Emanuel Isaque Cordeiro da Silva -
    FERTILIDADE EM VACAS LEITEIRAS: FISIOLOGIA E MANEJO -/- INTRODUÇÃO -/- A fertilidade das vacas com aptidão leiteira tem apresentado queda de quase 1% ao ano nos últimos 30 anos como apresentam os estudos acerca da reprodução de bovinos leiteiros; essa diminuição tem coincidido com um aumento sustentado na produção de leite. Estudos realizados a partir da década de 1960 pelo NRC, demonstraram que nos rebanhos leiteiros da América do Norte, nessa década, era conseguido emprenhar até 65% das vacas inseminadas, enquanto, (...)
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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. Reprodução Animal: Fisiologia do Parto e da Lactação Animal.Emanuel Isaque Cordeiro da Silva - manuscript
    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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  6. Comportamento Sexual dos Animais Domésticos.Emanuel Isaque Cordeiro Da Silva - manuscript
    COMPORTAMENTO SEXUAL DOS ANIMAIS OBJETIVO O estudante explicará a conduta sexual de fêmeas e machos de diferentes espécies domésticas para detectar a fase de receptividade sexual, com a finalidade de programar de maneira adequada a monta ou a inseminação artificial. A observação da conduta sexual dos animais é indispensável para o sucesso da estação reprodutiva em uma determinada propriedade. Logo, o estudante obterá o alicerce necessário sobre os pontos teóricos e práticos a serem observados para a seleção dos animais (...)
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  7. Anatomia e Fisiologia das Aves Domésticas - Anatomia da Galinha.Emanuel Isaque Cordeiro da Silva - manuscript
    -/- IFPE – Campus Belo Jardim Curso Técnico em Agropecuária -/- AVICULTURA: ANATOMIA DA GALINHA -/- AVICULTURA Anatomia básica da galinha -/- INTRODUÇÃO -/- A galinha é um animal vertebrado de sangue quente, parente evoluído dos répteis. Embora haja semelhanças entre ambas as espécies (aves e répteis), também existem grandes diferenças. Os répteis são seres pecilotérmicos, isto é, possuem sangue frio, o que significa que sua temperatura corporal não é regulada pelo seu próprio corpo para uma temperatura específica e, portanto, (...)
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  8. Fisiologia do Estro e do Serviço na Reprodução Bovina.Emanuel Isaque Cordeiro da Silva & Emanuel Isaque Da Silva - manuscript
    FISIOLOGIA DA REPRODUÇÃO BOVINA: 2 - ESTRO E SERVIÇO -/- -/- INTRODUÇÃO -/- -/- A identificação de vacas em cio (estro ou cio) é, sem dúvida, a prática mais importante no manejo da reprodução do rebanho leiteiro. Apesar dos avanços no conhecimento da fisiologia da reprodução a nível celular e molecular, a identificação de vacas em estro continua sendo o problema reprodutivo mais importante e o que mais causa prejuízos econômicos. Na indústria de laticínios no Brasil, seu impacto não foi (...)
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  9. Fisiologia da Reprodução Animal: Fecundação e Gestação.Emanuel Isaque Cordeiro da Silva - manuscript
    REPRODUÇÃO ANIMAL: FECUNDAÇÃO E GESTAÇÃO -/- ANIMAL BREEDING: FERTILIZATION AND PREGNANCY -/- Emanuel Isaque Cordeiro da Silva Departamento de Zootecnia da UFRPE E-mail: [email protected] WhatsApp: (82)98143-8399 -/- REPRODUÇÃO ANIMAL: FECUNDAÇÃO E GESTAÇÃO -/- 1. INTRODUÇÃO Em geral, a reprodução dos animais domésticos constitui o eixo sobre o qual se ramificam as produções animais mais importantes (leite, carne e ovos). Conhecer os fenômenos fisiológicos que ocorrem durante as diferentes fases da função reprodutiva e os mecanismos que a regulam demonstrou ser primordial (...)
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  10. Avicultura: Formação do Ovo.Emanuel Isaque Cordeiro da Silva - manuscript
    INTRODUÇÃO O ovo da galinha consiste em uma célula reprodutiva bastante comparável às encontrada nos mamíferos. Todavia, no caso da galinha, essa célula reprodutiva localiza- se na superfície da gema, sendo preenchida por albumens, membranas de casca, casca e cutícula. O ovário é responsável pela formação da gema; as porções restantes do ovo originam-se no canal do oviduto. • OVÁRIO No momento do desenvolvimento precoce do embrião, existem dois ovários e dois ovidutos, entretanto o conjunto ovário-oviduto direito atrofia-se, deixando apenas (...)
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  11. Características Gerais dos Bovinos / General Characteristics of Cattle Bovine.Emanuel Isaque Cordeiro da Silva -
    CARACTERÍSTICAS GERAIS DO GADO BOVINO -/- GENERAL CHARACTERISTICS OF CATTLE BOVINE -/- CARACTERÍSTICAS GENERALES DEL GANADO BOVINO -/- 1 TAXONOMIA DOS BOVINOS -/- Consideramos, nesse primeiro tópico, a taxonomia (ordenação e classificação das espécies animais e vegetais, onde também pode-se encontrar a relação de familiaridade entre organismos distintos e/ou iguais, bem como sua evolução em diversos aspectos: físico, motor, locomoção, anatomia, etc.) dos bovinos. É levado em consideração os itens mais relevantes e mais estudados em Zootecnia, Biologia, Medicina Veterinária, etc. (...)
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  12. Ovulação Retardada e Anovulação em Vacas: Causas Nutricionais.Emanuel Isaque Cordeiro da Silva - manuscript
    RELAÇÃO E EFEITOS BIOQUÍMICO-NUTRICIONAIS SOBRE A OVULAÇÃO RETARDADA E A ANOVULAÇÃO EM VACAS -/- -/- Emanuel Isaque Cordeiro da Silva -/- Departamento de Agropecuária – IFPE Campus Belo Jardim -/- [email protected] ou [email protected] -/- WhatsApp: (82)98143-8399 -/- -/- 13. OVULAÇÃO RETARDADA -/- A ovulação retardada é uma situação de alteração fisiológica com diferentes origens. A falha em si, ocasiona assincronia nos tempos de liberação dos gametas. O óvulo é liberado tempo depois que os sinais corporais de estro terminaram, dessa forma, (...)
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  13. Selección artificial, selección sexual, selección natural.Santiago Ginnobili - 2011 - Metatheoria – Revista de Filosofía E Historia de la Ciencia 2 (1):61-78.
    En On the Origin of Species Darwin distingue explícitamente entre tres tipos de selección: la selección natural, la artificial y la sexual. En este trabajo, a partir de un estudio más sistemático que historiográfico, se intenta encontrar la relación entre estos tres tipos de selección en la obra de Darwin. Si bien la distinción entre estos distintos mecanismos es de suma importancia en la obra de Darwin, la tesis de este trabajo es que tanto la selección artificial como (...)
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  14.  67
    Artificial Intelligence in a Structurally Unjust Society.Ting-An Lin & Po-Hsuan Cameron Chen - forthcoming - Feminist Philosophy Quarterly.
    Increasing concerns have been raised regarding artificial intelligence (AI) bias, and in response, efforts have been made to pursue AI fairness. In this paper, we argue that the idea of structural injustice serves as a helpful framework for clarifying the ethical concerns surrounding AI bias—including the nature of its moral problem and the responsibility for addressing it—and reconceptualizing the approach to pursuing AI fairness. Using AI in healthcare as a case study, we argue that AI bias is a form (...)
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  15.  50
    Not Just “Bodies with Vaginas”: A Kantian Defense of Pelvic Exam Consent Laws.Samantha L. Seybold - forthcoming - Bioethics.
    Medical students commonly learn how to administer pelvic exams by practicing on unconscious patients, often without first obtaining explicit consent from patients to do so. While twenty-one states currently have laws that require teaching hospitals to obtain consent from patients to participate in this educational experience, opposition from the medical community has stymied legislative progress. In this paper, I respond to the two most common reasons offered to oppose legislation, which appeal to (1) the educational benefits of these exams, or (...)
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  16. 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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  17. Artificial Intelligence and Patient-Centered Decision-Making.Jens Christian Bjerring & Jacob Busch - 2020 - Philosophy and Technology 34 (2):349-371.
    Advanced AI systems are rapidly making their way into medical research and practice, and, arguably, it is only a matter of time before they will surpass human practitioners in terms of accuracy, reliability, and knowledge. If this is true, practitioners will have a prima facie epistemic and professional obligation to align their medical verdicts with those of advanced AI systems. However, in light of their complexity, these AI systems will often function as black boxes: the details of their contents, calculations, (...)
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  18.  20
    Accountability in Artificial Intelligence: What It Is and How It Works.Claudio Novelli, Mariarosaria Taddeo & Luciano Floridi - manuscript
    Accountability is a cornerstone of the governance of artificial intelligence (AI). However, it is often defined too imprecisely because its multifaceted nature and the sociotechnical structure of AI systems imply a variety of values, practices, and measures to which accountability in AI can refer. We address this lack of clarity by defining accountability in terms of answerability, identifying three conditions of possibility (authority recognition, interrogation, and limitation of power), and an architecture of seven features (context, range, agent, forum, standards, (...)
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  19. 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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  20. Trusting Artificial Intelligence in Cybersecurity is a Double-Edged Sword.Mariarosaria Taddeo, Tom McCutcheon & Luciano Floridi - 2019 - Philosophy and Technology 32:1-15.
    Applications of artificial intelligence (AI) for cybersecurity tasks are attracting greater attention from the private and the public sectors. Estimates indicate that the market for AI in cybersecurity will grow from US$1 billion in 2016 to a US$34.8 billion net worth by 2025. The latest national cybersecurity and defence strategies of several governments explicitly mention AI capabilities. At the same time, initiatives to define new standards and certification procedures to elicit users’ trust in AI are emerging on a global (...)
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  21. 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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  22. 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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  23. Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions.Thomas C. King, Nikita Aggarwal, Mariarosaria Taddeo & Luciano Floridi - 2020 - 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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  24. 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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  25. Challenging the ‘Born Alive’ Threshold: Fetal Surgery, Artificial Wombs, and the English Approach to Legal Personhood.Elizabeth Chloe Romanis - 2019 - Medical Law Review.
    English law is unambiguous that legal personality, and with it all legal rights and protections, is assigned at birth. This rule is regarded as a bright line that is easily and consistently applied. The time has come, however, for the rule to be revisited. This article demonstrates that advances in fetal surgery and (anticipated) artificial wombs do not marry with traditional conceptions of birth and being alive in law. These technologies introduce the possibility of ex utero gestation, and/or temporary (...)
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  26. 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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  27. 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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  28. Book: Cognitive Design for Artificial Minds.Antonio Lieto - 2021 - London, UK: Routledge, Taylor & Francis Ltd.
    Book Description (Blurb): Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. -/- Beginning with an overview of the historical, methodological and technical issues in the field of (...)
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  29. Artificial Neural Network for Predicting Animals Category.Ibrahim M. Nasser & Samy S. Abu-Naser - 2019 - International Journal of Academic and Applied Research (IJAAR) 3 (2):18-24.
    Abstract: In this paper an Artificial Neural Network (ANN) model, was developed and tested for predicting the category of an animal. There is a number of factors that influence the classification of animals. Such as the existence of hair/ feather, if the animal gives birth or spawns, it is airborne, aquatic, predator, toothed, backboned, venomous, has –fins, has-tail, cat-sized, and domestic. They were then used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology (...)
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  30. Regulate Artificial Intelligence to Avert Cyber Arms Race.Mariarosaria Taddeo & Luciano Floridi - 2018 - Nature 556 (7701):296-298.
    This paper argues that there is an urgent need for an international doctrine for cyberspace skirmishes before they escalate into conventional warfare.
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  31. Artificial Consciousness and the Consciousness-Attention Dissociation.Harry Haroutioun Haladjian & Carlos Montemayor - 2016 - Consciousness and Cognition 45:210-225.
    Artificial Intelligence is at a turning point, with a substantial increase in projects aiming to implement sophisticated forms of human intelligence in machines. This research attempts to model specific forms of intelligence through brute-force search heuristics and also reproduce features of human perception and cognition, including emotions. Such goals have implications for artificial consciousness, with some arguing that it will be achievable once we overcome short-term engineering challenges. We believe, however, that phenomenal consciousness cannot be implemented in machines. (...)
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  32. The Chinese Approach to Artificial Intelligence: An Analysis of Policy, Ethics, and Regulation.Huw Roberts, Josh Cowls, Jessica Morley, Mariarosaria Taddeo, Vincent Wang & Luciano Floridi - 2021 - AI and Society 36 (1):59–⁠77.
    In July 2017, China’s State Council released the country’s strategy for developing artificial intelligence, entitled ‘New Generation Artificial Intelligence Development Plan’. This strategy outlined China’s aims to become the world leader in AI by 2030, to monetise AI into a trillion-yuan industry, and to emerge as the driving force in defining ethical norms and standards for AI. Several reports have analysed specific aspects of China’s AI policies or have assessed the country’s technical capabilities. Instead, in this article, we (...)
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  33. Artificial Evil and the Foundation of Computer Ethics.Luciano Floridi & J. W. Sanders - 2001 - Springer Netherlands.
    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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  34. 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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  35. Neonatal Incubator or Artificial Womb? Distinguishing Ectogestation and Ectogenesis Using the Metaphysics of Pregnancy.Elselijn Kingma & Suki Finn - 2020 - Bioethics 34 (4):354-363.
    A 2017 Nature report was widely touted as hailing the arrival of the artificial womb. But the scientists involved claim their technology is merely an improvement in neonatal care. This raises an under-considered question: what differentiates neonatal incubation from artificial womb technology? Considering the nature of gestation—or metaphysics of pregnancy—(a) identifies more profound differences between fetuses and neonates/babies than their location (in or outside the maternal body) alone: fetuses and neonates have different physiological and physical characteristics; (b) characterizes (...)
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  36. Artificial Intelligence as a Means to Moral Enhancement.Michał Klincewicz - 2016 - Studies in Logic, Grammar and Rhetoric 48 (1):171-187.
    This paper critically assesses the possibility of moral enhancement with ambient intelligence technologies and artificial intelligence presented in Savulescu and Maslen (2015). The main problem with their proposal is that it is not robust enough to play a normative role in users’ behavior. A more promising approach, and the one presented in the paper, relies on an artifi-cial moral reasoning engine, which is designed to present its users with moral arguments grounded in first-order normative theories, such as Kantianism or (...)
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  37. Artificial Qualia, Intentional Systems and Machine Consciousness.Robert James M. Boyles - 2012 - In Proceedings of the DLSU Congress 2012. pp. 110a–110c.
    In the field of machine consciousness, it has been argued that in order to build human-like conscious machines, we must first have a computational model of qualia. To this end, some have proposed a framework that supports qualia in machines by implementing a model with three computational areas (i.e., the subconceptual, conceptual, and linguistic areas). These abstract mechanisms purportedly enable the assessment of artificial qualia. However, several critics of the machine consciousness project dispute this possibility. For instance, Searle, in (...)
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  38.  50
    Artificial Intelligence and Analytic Pragmatism / Umjetna inteligencija i analitički pragmatizam (Bosnian translation by Nijaz Ibrulj).Nijaz Ibrulj & Robert B. Brandom - 2022 - Sophos 1 (15):201-222.
    The text "Artificial Intelligence and Analytic Pragmatism" was translated from the book by Robert B. Brand: Between Saying and Doing: Towards an Analytical Pragmatism. Chapter 3. Oxford University Press. pp. 69 - 92.
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  39. The AI Gambit — Leveraging Artificial Intelligence to Combat Climate Change: Opportunities, Challenges, and Recommendations.Josh Cowls, Andreas Tsamados, Mariarosaria Taddeo & Luciano Floridi - 2021 - In Vodafone Institute for Society and Communications.
    In this article we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change and it contribute to combating the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible exacerbation of social and ethical challenges already associated with AI, and (...)
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  40. A Normative Approach to Artificial Moral Agency.Dorna Behdadi & Christian Munthe - 2020 - Minds and Machines 30 (2):195-218.
    This paper proposes a methodological redirection of the philosophical debate on artificial moral agency in view of increasingly pressing practical needs due to technological development. This “normative approach” suggests abandoning theoretical discussions about what conditions may hold for moral agency and to what extent these may be met by artificial entities such as AI systems and robots. Instead, the debate should focus on how and to what extent such entities should be included in human practices normally assuming moral (...)
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  41. Can Artificial Intelligence Make Art?Elzė Sigutė Mikalonytė & Markus Kneer - 2022 - ACM Transactions on Human-Robot Interactions.
    In two experiments (total N=693) we explored whether people are willing to consider paintings made by AI-driven robots as art, and robots as artists. Across the two experiments, we manipulated three factors: (i) agent type (AI-driven robot v. human agent), (ii) behavior type (intentional creation of a painting v. accidental creation), and (iii) object type (abstract v. representational painting). We found that people judge robot paintings and human painting as art to roughly the same extent. However, people are much less (...)
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  42.  1
    Artificial Intelligence and the Secret Ballot.Jakob Mainz, Jørn Sønderholm & Rasmus Uhrenfeldt - forthcoming - AI and Society.
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  43. 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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  44.  62
    Artificial Life and ‘Nature’s Purposes’: The Question of Behavioral Autonomy.Elena Popa - 2020 - 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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  45. Ethics of Artificial Intelligence and Robotics.Vincent C. Müller - 2020 - In Edward Zalta (ed.), Stanford Encyclopedia of Philosophy. Palo Alto, Cal.: CSLI, Stanford University. pp. 1-70.
    Artificial intelligence (AI) and robotics are digital technologies that will have significant impact on the development of humanity in the near future. They have raised fundamental questions about what we should do with these systems, what the systems themselves should do, what risks they involve, and how we can control these. - After the Introduction to the field (§1), the main themes (§2) of this article are: Ethical issues that arise with AI systems as objects, i.e., tools made and (...)
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  46. Group Agency and Artificial Intelligence.Christian List - 2021 - Philosophy and Technology (4):1-30.
    The aim of this exploratory paper is to review an under-appreciated parallel between group agency and artificial intelligence. As both phenomena involve non-human goal-directed agents that can make a difference to the social world, they raise some similar moral and regulatory challenges, which require us to rethink some of our anthropocentric moral assumptions. Are humans always responsible for those entities’ actions, or could the entities bear responsibility themselves? Could the entities engage in normative reasoning? Could they even have rights (...)
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  47. Punishing Artificial Intelligence: Legal Fiction or Science Fiction.Alexander Sarch & Ryan Abbott - 2019 - UC Davis Law Review 53:323-384.
    Whether causing flash crashes in financial markets, purchasing illegal drugs, or running over pedestrians, AI is increasingly engaging in activity that would be criminal for a natural person, or even an artificial person like a corporation. We argue that criminal law falls short in cases where an AI causes certain types of harm and there are no practically or legally identifiable upstream criminal actors. This Article explores potential solutions to this problem, focusing on holding AI directly criminally liable where (...)
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  48. The Rhetoric and Reality of Anthropomorphism in Artificial Intelligence.David Watson - 2019 - Minds and Machines 29 (3):417-440.
    Artificial intelligence has historically been conceptualized in anthropomorphic terms. Some algorithms deploy biomimetic designs in a deliberate attempt to effect a sort of digital isomorphism of the human brain. Others leverage more general learning strategies that happen to coincide with popular theories of cognitive science and social epistemology. In this paper, I challenge the anthropomorphic credentials of the neural network algorithm, whose similarities to human cognition I argue are vastly overstated and narrowly construed. I submit that three alternative supervised (...)
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  49. Artificial Suffering: An Argument for a Global Moratorium on Synthetic Phenomenology.Thomas Metzinger - 2021 - Journal of Artificial Intelligence and Consciousness 1 (8):1-24.
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  50. Future Progress in Artificial Intelligence: A Survey of Expert Opinion.Vincent C. Müller & Nick Bostrom - 2016 - In Vincent Müller (ed.), Fundamental Issues of Artificial Intelligence. Springer. pp. 553-571.
    There is, in some quarters, concern about high–level machine intelligence and superintelligent AI coming up in a few decades, bringing with it significant risks for humanity. In other quarters, these issues are ignored or considered science fiction. We wanted to clarify what the distribution of opinions actually is, what probability the best experts currently assign to high–level machine intelligence coming up within a particular time–frame, which risks they see with that development, and how fast they see these developing. We thus (...)
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