Results for 'artificial nutrition'

956 found
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  1. Withdrawing artificial nutrition and patients' interests.Ezio Di Nucci - 2013 - Journal of Medical Ethics 39 (9):555-556.
    I argue that the arguments brought by Counsel for M to the English Court of Protection are morally problematic in prioritising subjective interests that are the result of ‘consistent autonomous thought’ over subjective interests that are the result of a more limited cognitive perspective.
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  2. Rice Classification using ANN.Abdulrahman Muin Saad & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (10):32-42.
    Abstract: Rice, as a paramount staple crop worldwide, sustains billions of lives. Precise classification of rice types holds immense agricultural, nutritional, and economic significance. Recent advancements in machine learning, particularly Artificial Neural Networks (ANNs), offer promise in enhancing rice type classification accuracy and efficiency. This research explores rice type classification, harnessing neural networks' power. Utilizing a rich dataset from Kaggle, containing 18,188 entries and key rice grain attributes, we develop and evaluate a neural network model. Our neural network, featuring (...)
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  3. 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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  4. 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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  5. Predicting Carbon Dioxide Emissions in the Oil and Gas Industry.Yousef Mohammed Meqdad & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (10):34-40.
    Abstract: This study has effectively tackled the critical challenge of accurate calorie prediction in dishes by employing a robust neural network-based model. With an outstanding accuracy rate of 99.32% and a remarkably low average error of 0.009, our model has showcased its proficiency in delivering precise calorie estimations. This achievement equips individuals, healthcare practitioners, and the food industry with a powerful tool to promote healthier dietary choices and elevate awareness of nutrition. Furthermore, our in-depth feature importance analysis has shed (...)
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  6. 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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  7. Hybridity in Agriculture.Catherine Kendig - 2012 - In Paul B. Thompson & David M. Kaplan (eds.), Encyclopedia of Food and Agricultural Ethics. New York: Springer Verlag.
    In a very general sense, hybrid can be understood to be any organism that is the product of two (or more) organisms where each parent belongs to a different kind. For example; the offspring from two or more parent organisms, each belonging to a separate species (or genera), is called a “hybrid”. “Hybridity” refers to the phenomenal character of being a hybrid. And “hybridization ” refers to both natural and artificial processes of generating hybrids. These processes include mechanisms of (...)
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  8. 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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  9. Nutrição Sobre as Falhas Reprodutivas dos Bovinos.Emanuel Isaque Cordeiro da Silva - manuscript
    NUTRIÇÃO SOBRE AS FALHAS REPRODUTIVAS DOS BOVINOS -/- E. I. C. da Silva Departamento de Agropecuária – IFPE Campus Belo Jardim Departamento de Zootecnia – UFRPE sede -/- -/- FALHAS REPRODUTIVAS DE BOVINOS -/- INTRODUÇÃO -/- Os bovinos, assim como tantos outros mamíferos e demais espécies, podem sofrer distúrbios durante o ciclo reprodutivo. Transtornos, alterações ou patogenias afetam diretamente a saúde do sistema reprodutor desses animais. As causas podem ser individuais ou multifatoriais, de caráter parasitário, patogênico, climático, nutricional etc. As (...)
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  10. Azoospermia em Bovinos: Principais Causas Nutricionais.Emanuel Isaque Cordeiro da Silva - manuscript
    NUTRIÇÃO SOBRE A AZOOSPERMIA EM BOVINOS -/- -/- E. I. C. da Silva Departamento de Agropecuária – IFPE Campus Belo Jardim Departamento de Zootecnia – UFRPE sede -/- AZOOSPERMIA EM BOVINOS -/- INTRODUÇÃO -/- A falta completa de esperma no ejaculado pode ser devido a uma falha no processo de espermatogênese ou relacionada a causas no transporte do esperma. Com relação ao transporte, o esperma pode ser impedido de ser ejaculado mediante bloqueios ou oclusões no sistema do ducto extragonadal, ou (...)
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  11. Relação e Efeitos Bioquímico-nutricionais Sobre os Cios ou Estros Silenciosos em Vacas.Emanuel Isaque Cordeiro da Silva - manuscript
    RELAÇÃO E EFEITOS BIOQUÍMICO-NUTRICIONAIS SOBRE OS CIOS OU ESTROS SILENCIOSOS EM VACAS E. I. C. da Silva Departamento de Agropecuária – IFPE Campus Belo Jardim Departamento de Zootecnia – UFRPE sede CIOS OU ESTROS SILENCIOSOS EM BOVINOS INTRODUÇÃO Um cio ou "estro silencioso" ocorre quando as mudanças ováricas são normais, mesmo com ovulação, mas não há comportamento estral. Isso não deve ser confundido com um estro não observado devido a falha na detecção do mesmo. A ocorrência do cio ou "estro (...)
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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. Introducing the Argumentation Framework within Agent-Based Models to Better Simulate Agents’ Cognition in Opinion Dynamics: Application to Vegetarian Diet Diffusion.Patrick Taillandier, Nicolas Salliou & Rallou Thomopoulos - 2021 - Journal of Artificial Societies and Social Simulation 24 (2).
    This paper introduces a generic agent-based model simulating the exchange and the diffusion of pro and con arguments. It is applied to the case of the diffusion of vegetarian diets in the context of a potential emergence of a second nutrition transition. To this day, agent-based simulation has been extensively used to study opinion dynamics. However, the vast majority of existing models have been limited to extremely abstract and simplified representations of the diffusion process. These simplifications impairs the realism (...)
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  14. 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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  15. Nutrition from insects: An age-old Vietnamese view versus the modern world’s perspective.Minh-Hoang Nguyen & Vuong Quan Hoang - manuscript
    Due to the rising pressure from population growth and environmental crises induced by anthropogenic food production activities, the production and consumption of insects have been promoted internationally. The current paper discusses the nutritional and environmental benefits of insect consumption and the socio-cultural and psychological factors that constrain such a habit on an international scale. Then, some historical and cultural information regarding insect consumption in Vietnam is provided to highlight the potential of insect consumption standardization. Unlike those in Western societies, where (...)
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  16. 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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  17. Individual nutritional self-sufficiency: a viable option in the present era.Alik Pelman, Ohad Nachtomy & Yohay Carmel - 2024 - Frontiers in Sustainable Food Systems 8 (1424879):1-6.
    At the present state of industrialized agriculture and specialized economy, achieving nutritional self-sufficiency on a personal level is widely considered a naïve goal, unsuited to the present technological era. Furthermore, nutritional self-sufficiency is considered overly demanding in terms of training, land, labor intensity, and time requirements. This study contests these common notions. Drawing on a study of a small (approximately 0.075 ha) low-input self-sufficient farm in an industrialized country, we show that achieving nutritional self-sufficiency on this farm required modest initial (...)
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  18.  95
    Artificial intelligence and retracted science.Minh-Hoang Nguyen & Quan-Hoang Vuong - manuscript
    Technology firms are now purchasing access to research papers from academic publishers to train their artificial intelligence (AI) models. Using scientific content to train AI can come with multiple benefits, which help improve AI's capability to generate trustworthy outcomes, understand and process issues across a wide range of topics, as well as analyze information, make logical deductions, and draw conclusions. Journal articles are generally considered reliable because of the rigorous peer review system. However, the evaluation process is constrained by (...)
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  19. 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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  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 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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  22. 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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  23. 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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  24. Inteligencia artificial aplicada a la salud: pronóstico reservado.Fabio Morandin-Ahuerma, Abelardo Romero-Fernández & Laura Villanueva-Méndez - 2023 - Educación Médica 12 (45):8.
    En México y en otros países, eufemísticamente llama-dos "en desarrollo", los sistemas públicos de atención a la salud enfrentan continuos recortes presupuestales, lo que impacta negativamente a los recursos materiales y a la disminución de plazas para los egresados de las carreras de medicina, esto es, menos contratos de médicos de base en hospitales, clínicas y centros de salud. Bajo este panorama adverso, algunos administradores, desarrolladores de software y no pocos políticos preclaros, suponen que la salida a los problemas económicos (...)
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  25. 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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  26. 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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  27. 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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  28. Nutritional Knowledge and Cultural Food Beliefs on Dietary Practices of Pregnant Women.Raffy O. Jembi, Abimbola A. Emmanuel & Abdurazaq T. Ibraheem - 2023 - International Journal of Home Economics, Hospitality and Allied Research 2 (2):162-172.
    The paper assessed the nutritional knowledge and cultural food beliefs on dietary practices of pregnant women in Epe Local Government Area, Lagos State, Nigeria. A descriptive research design was adopted for this study. The population of the study consisted of all registered pregnant women in seven (7) antenatal clinics in Epe Local Government Area of Lagos State. A sample size of 270 was drawn using proportionate sampling technique. The collected data were analyzed using frequency, percentage, and the Chi-square test of (...)
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  29. 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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  30. 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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  31. 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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  32. 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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  33. 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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  34. 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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  35. 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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  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 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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  38.  46
    Artificial Intelligence and Universal Values.Jay Friedenberg - 2024 - UK: Ethics Press.
    The field of value alignment, or more broadly machine ethics, is becoming increasingly important as artificial intelligence developments accelerate. By ‘alignment’ we mean giving a generally intelligent software system the capability to act in ways that are beneficial, or at least minimally harmful, to humans. There are a large number of techniques that are being experimented with, but this work often fails to specify what values exactly we should be aligning. When making a decision, an agent is supposed to (...)
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  39. 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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  40. 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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  41. 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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  42.  55
    Ethical Permissibility of Using Artificial Intelligence through the Lens of Al-Farabi's Theory on Natural Rights and Prosperity.Mohamad Mahdi Davar - 2024 - Legal Civilization 6 (18):195-200.
    The discussion of artificial intelligence (AI) as a newly emerging phenomenon in the present era has always been faced with various ethical challenges. The expansion of artificial intelligence is inevitable, and since this phenomenon is related to the human and social world, anything related to humans and society falls within the realm of morality and rights. In doing so, it must be understood whether the use of artificial intelligence is an ethical matter or not. Furthermore, do humans (...)
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  43. 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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  44. Artificial Qualia, Intentional Systems and Machine Consciousness.Robert James M. Boyles - 2012 - In Proceedings of the Research@DLSU Congress 2012: Science and Technology Conference. 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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  45. 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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  46. 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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  47. Artificial intelligence's new frontier: Artificial companions and the fourth revolution.Luciano Floridi - 2008 - Metaphilosophy 39 (4-5):651-655.
    Abstract: In this article I argue that the best way to understand the information turn is in terms of a fourth revolution in the long process of reassessing humanity's fundamental nature and role in the universe. We are not immobile, at the centre of the universe (Copernicus); we are not unnaturally distinct and different from the rest of the animal world (Darwin); and we are far from being entirely transparent to ourselves (Freud). We are now slowly accepting the idea that (...)
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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. 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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  50. Artificial Brains & Holographic Bodies: Facing the Questions of Progress.John Altmann - manuscript
    This essay discusses the ambitious plans of one Dmitry Itskov who by 2045 wishes to see immortality achieved by way of Artificial Brains and Holographic Bodies. I discuss the ethical implications of such a possibility coming to pass.
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