Results for 'Intelligent chatbot'

974 found
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  1.  63
    Intelligent Chatbot for Substation Maintenance.Desai Neela Megha Shyam - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (1):1-12.
    Substation maintenance is a critical aspect of ensuring the reliable operation and longevity of electrical power systems. This process involves a range of activities aimed at preserving the functionality and safety of substations, which serve as pivotal nodes in the electrical grid. Effective maintenance strategies encompass routine inspections, preventive measures, and corrective actions to address equipment wear and potential failures. Advances in technology have introduced innovative tools and techniques for substation maintenance, including automated diagnostic systems, predictive analytics, and real-time monitoring (...)
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  2. Do Chatbots Dream of Androids? Prospects for the Technological Development of Artificial Intelligence and Robotics.Albert R. Efimov - 2019 - Philosophical Sciences 62 (7):73-95.
    The article discusses the main trends in the development of artificial intelligence systems and robotics (AI&R). The main question that is considered in this context is whether artificial systems are going to become more and more anthropomorphic, both intellectually and physically. In the current article, the author analyzes the current state and prospects of technological development of artificial intelligence and robotics, and also determines the main aspects of the impact of these technologies on society and economy, indicating the geopolitical strategic (...)
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  3. Therapeutic Chatbots as Cognitive-Affective Artifacts.J. P. Grodniewicz & Mateusz Hohol - 2024 - Topoi 43 (3):795-807.
    Conversational Artificial Intelligence (CAI) systems (also known as AI “chatbots”) are among the most promising examples of the use of technology in mental health care. With already millions of users worldwide, CAI is likely to change the landscape of psychological help. Most researchers agree that existing CAIs are not “digital therapists” and using them is not a substitute for psychotherapy delivered by a human. But if they are not therapists, what are they, and what role can they play in mental (...)
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  4. Can Chatbots Preserve Our Relationships with the Dead?Stephen M. Campbell, Pengbo Liu & Sven Nyholm - forthcoming - Journal of the American Philosophical Association.
    Imagine that you are given access to an AI chatbot that compellingly mimics the personality and speech of a deceased loved one. If you start having regular interactions with this “thanabot,” could this new relationship be a continuation of the relationship you had with your loved one? And could a relationship with a thanabot preserve or replicate the value of a close human relationship? To the first question, we argue that a relationship with a thanabot cannot be a true (...)
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  5. Can AI Lie? Chatbot Technologies, the Subject, and the Importance of Lying.Jack Black - 2024 - Social Science Computer Review (xx):xx.
    This article poses a simple question: can AI lie? In response to this question, the article examines, as its point of inquiry, popular AI chatbots, such as, ChatGPT. In doing so, an examination of the psychoanalytic, philosophical, and technological significance of AI and its complexities are located in relation to the dynamics of truth, falsity, and deception. That is, by critically exploring the chatbot’s capacity to engage in natural language conversations and deliver contextually relevant responses, it is argued that (...)
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  6. On trusting chatbots.P. D. Magnus - forthcoming - Episteme.
    This paper focuses on the epistemic situation one faces when using a Large Language Model based chatbot like ChatGPT: When reading the output of the chatbot, how should one decide whether or not to believe it? By surveying strategies we use with other, more familiar sources of information, I argue that chatbots present a novel challenge. This makes the question of how one could trust a chatbot especially vexing.
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  7. Discerning genuine and artificial sociality: a technomoral wisdom to live with chatbots.Katsunori Miyahara & Hayate Shimizu - forthcoming - In Vincent C. Müller, Aliya R. Dewey, Leonard Dung & Guido Löhr (eds.), Philosophy of Artificial Intelligence: The State of the Art. Berlin: SpringerNature.
    Chatbots powered by large language models (LLMs) are increasingly capable of engaging in what seems like natural conversations with humans. This raises the question of whether we should interact with these chatbots in a morally considerate manner. In this chapter, we examine how to answer this question from within the normative framework of virtue ethics. In the literature, two kinds of virtue ethics arguments, the moral cultivation and the moral character argument, have been advanced to argue that we should afford (...)
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  8.  44
    Sikhism and Artificial Intelligence - The Mutual Relevance.Devinder Pal Singh - 2023 - Journal of Studies in Sikhism and Comparative Religion 49 (2):34-42.
    Artificial Intelligence refers to developing computer systems and machines that can perform tasks that usually require human intelligence. AI is an evolving field, and researchers and engineers continue to explore and develop new techniques and technologies to enhance its capabilities. The impact of AI on religions is not entirely predictable. AI is likely to affect religions or be affected by them in various ways, some of which are already becoming apparent. As with any new technology, it is up to individuals (...)
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  9. Artificial Intelligence Implications for Academic Cheating: Expanding the Dimensions of Responsible Human-AI Collaboration with ChatGPT.Jo Ann Oravec - 2023 - Journal of Interactive Learning Research 34 (2).
    Cheating is a growing academic and ethical concern in higher education. This article examines the rise of artificial intelligence (AI) generative chatbots for use in education and provides a review of research literature and relevant scholarship concerning the cheating-related issues involved and their implications for pedagogy. The technological “arms race” that involves cheating-detection system developers versus technology savvy students is attracting increased attention to cheating. AI has added new dimensions to academic cheating challenges as students (as well as faculty and (...)
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  10.  15
    AI Mimicry and Human Dignity: Chatbot Use as a Violation of Self-Respect.Jan-Willem van der Rijt, Dimitri Coelho Mollo & Bram Vaassen - manuscript
    This paper investigates how human interactions with AI-powered chatbots may offend human dignity. Current chatbots, driven by large language models (LLMs), mimic human linguistic behaviour but lack the moral and rational capacities essential for genuine interpersonal respect. Human beings are prone to anthropomorphise chatbots—indeed, chatbots appear to be deliberately designed to elicit that response. As a result, human beings’ behaviour toward chatbots often resembles behaviours typical of interaction between moral agents. Drawing on a second-personal, relational account of dignity, we argue (...)
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  11. The dialectic of desire: AI chatbots and the desire not to know.Jack Black - 2023 - Psychoanalysis, Culture and Society 28 (4):607--618.
    Exploring the relationship between humans and AI chatbots, as well as the ethical concerns surrounding their use, this paper argues that our relations with chatbots are not solely based on their function as a source of knowledge, but, rather, on the desire for the subject not to know. It is argued that, outside of the very fears and anxieties that underscore our adoption of AI, the desire not to know reveals the potential to embrace the very loss AI avers. Consequently, (...)
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  12. Therapeutic Conversational Artificial Intelligence and the Acquisition of Self-understanding.J. P. Grodniewicz & Mateusz Hohol - 2023 - American Journal of Bioethics 23 (5):59-61.
    In their thought-provoking article, Sedlakova and Trachsel (2023) defend the view that the status—both epistemic and ethical—of Conversational Artificial Intelligence (CAI) used in psychotherapy is complicated. While therapeutic CAI seems to be more than a mere tool implementing particular therapeutic techniques, it falls short of being a “digital therapist.” One of the main arguments supporting the latter claim is that even though “the interaction with CAI happens in the course of conversation… the conversation is profoundly different from a conversation with (...)
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  13. Waiting for a digital therapist: three challenges on the path to psychotherapy delivered by artificial intelligence.J. P. Grodniewicz & Mateusz Hohol - 2023 - Frontiers in Psychiatry 14 (1190084):1-12.
    Growing demand for broadly accessible mental health care, together with the rapid development of new technologies, trigger discussions about the feasibility of psychotherapeutic interventions based on interactions with Conversational Artificial Intelligence (CAI). Many authors argue that while currently available CAI can be a useful supplement for human-delivered psychotherapy, it is not yet capable of delivering fully fledged psychotherapy on its own. The goal of this paper is to investigate what are the most important obstacles on our way to developing CAI (...)
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  14.  21
    A Mini Project Report on Introduction to Chatbot to Individual Prakriti Using Ayurvedic App.Mishra Amita - 2025 - International Journal of Engineering Innovations and Management Strategies 1 (9):1-9.
    . The concept of Prakriti, derived from Ayurveda, is a unique blend of physical, physiological, and psychological attributes that determine an individual's constitution. Understanding one's Prakriti is essential for personalized health recommendations, lifestyle adjustments, and preventive healthcare strategies. This app helps us to know the food consumptions you need to take according to your body conditions for better health. In this app we used node js as backend and react js as our front end. We also used html css for (...)
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  15.  32
    Advancements and Applications of Generative Artificial Intelligence and show the Experimental Evidence on the Productivity Effects using Generative Artificial Intelligence.Sharma Sakshi - 2023 - International Journal of Multidisciplinary Research in Science, Engineering and Technology (Ijmrset) 6 (3):657-664.
    We investigate the productivity impacts of a generative artificial intelligence technology—specifically, the assistive chatbot ChatGPT—within the realm of mid-level professional writing tasks. In a preregistered online experiment, we assigned occupation-specific, incentivized writing tasks to 444 college-educated professionals, with half of the participants randomly exposed to ChatGPT. Our findings reveal that ChatGPT significantly enhances average productivity: the time taken to complete tasks decreases by 0.8 standard deviations, and output quality improves by 0.4 standard deviations. Additionally, the use of ChatGPT reduces (...)
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  16.  96
    Developments and Uses of Generative Artificial Intelligence and Present Experimental Data on the Impact on Productivity Applying Artificial Intelligence that is Generative.Tambi Varun Kumar - 2024 - International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 12 (10):2382-2388.
    In the context of mid-level professional writing jobs, we examine the productivity effects of a generative artificial intelligence technology, namely the assistive chatbot ChatGPT. We used ChatGPT to randomly expose half of the 444 college-educated professionals to occupation-specific, incentive-based writing tasks in a preregistered online experiment. Our results show that ChatGPT considerably increases average productivity: output quality improves by 0.4 standard deviations and task completion time drops by 0.8 standard deviations. By compressing the production distribution, ChatGPT also lessens worker (...)
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  17. AI Romance and Misogyny: A Speech Act Analysis.A. G. Holdier & Kelly Weirich - forthcoming - Oxford Intersections: Ai in Society (Relationships).
    Through the lens of feminist speech act theory, this paper argues that artificial intelligence romance systems objectify and subordinate nonvirtual women. AI romance systems treat their users as consumers, offering them relational invulnerability and control over their (usually feminized) digital romantic partner. This paper argues that, though the output of AI chatbots may not generally constitute speech, the framework offered by an AI romance system communicates an unjust perspective on intimate relationships. Through normalizing controlling one’s intimate partner, these systems operate (...)
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  18. The Whiteness of AI.Stephen Cave & Kanta Dihal - 2020 - Philosophy and Technology 33 (4):685-703.
    This paper focuses on the fact that AI is predominantly portrayed as white—in colour, ethnicity, or both. We first illustrate the prevalent Whiteness of real and imagined intelligent machines in four categories: humanoid robots, chatbots and virtual assistants, stock images of AI, and portrayals of AI in film and television. We then offer three interpretations of the Whiteness of AI, drawing on critical race theory, particularly the idea of the White racial frame. First, we examine the extent to which (...)
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  19. ChatGPT.Andrej Poleev - 2023 - Enzymes 21.
    As testing of ChatGPT has shown, this form of artificial intelligence has the potential to develop, which requires improving its software and other hardware that allows it to learn, i.e., to acquire and use new knowledge, to contact its developers with suggestions for improvement, or to reprogram itself without their participation. Как показало тестирование ChatGPT, эта форма искусственного интеллекта имеет потенциал развития, для чего необходимо усовершенствовать её программное и прочее техническое обеспечение, позволяющее ей учиться, т.е. приобретать и использовать новые знания, (...)
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  20. Cyber Security and Dehumanisation.Marie Oldfield - 2021 - 5Th Digital Geographies Research Group Annual Symposium.
    Artificial Intelligence is becoming widespread and as we continue ask ‘can we implement this’ we neglect to ask ‘should we implement this’. There are various frameworks and conceptual journeys one should take to ensure a robust AI product; context is one of the vital parts of this. AI is now expected to make decisions, from deciding who gets a credit card to cancer diagnosis. These decisions affect most, if not all, of society. As developers if we do not understand or (...)
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  21. Unjustified untrue "beliefs": AI hallucinations and justification logics.Kristina Šekrst - forthcoming - In Kordula Świętorzecka, Filip Grgić & Anna Brozek (eds.), Logic, Knowledge, and Tradition. Essays in Honor of Srecko Kovac.
    In artificial intelligence (AI), responses generated by machine-learning models (most often large language models) may be unfactual information presented as a fact. For example, a chatbot might state that the Mona Lisa was painted in 1815. Such phenomenon is called AI hallucinations, seeking inspiration from human psychology, with a great difference of AI ones being connected to unjustified beliefs (that is, AI “beliefs”) rather than perceptual failures). -/- AI hallucinations may have their source in the data itself, that is, (...)
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  22. A narrative review of the active ingredients in psychotherapy delivered by conversational agents.Arthur Herbener, Michal Klincewicz & Malene Flensborg Damholdt A. Show More - 2024 - Computers in Human Behavior Reports 14.
    The present narrative review seeks to unravel where we are now, and where we need to go to delineate the active ingredients in psychotherapy delivered by conversational agents (e.g., chatbots). While psychotherapy delivered by conversational agents has shown promising effectiveness for depression, anxiety, and psychological distress across several randomized controlled trials, little emphasis has been placed on the therapeutic processes in these interventions. The theoretical framework of this narrative review is grounded in prominent perspectives on the active ingredients in psychotherapy. (...)
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  23. Might text-davinci-003 have inner speech?Stephen Francis Mann & Daniel Gregory - 2024 - Think 23 (67):31-38.
    In November 2022, OpenAI released ChatGPT, an incredibly sophisticated chatbot. Its capability is astonishing: as well as conversing with human interlocutors, it can answer questions about history, explain almost anything you might think to ask it, and write poetry. This level of achievement has provoked interest in questions about whether a chatbot might have something similar to human intelligence or even consciousness. Given that the function of a chatbot is to process linguistic input and produce linguistic output, (...)
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  24. The Ethics of Automating Therapy.Jake Burley, James J. Hughes, Alec Stubbs & Nir Eisikovits - 2024 - Ieet White Papers.
    The mental health crisis and loneliness epidemic have sparked a growing interest in leveraging artificial intelligence (AI) and chatbots as a potential solution. This report examines the benefits and risks of incorporating chatbots in mental health treatment. AI is used for mental health diagnosis and treatment decision-making and to train therapists on virtual patients. Chatbots are employed as always-available intermediaries with therapists, flagging symptoms for human intervention. But chatbots are also sold as stand-alone virtual therapists or as friends and lovers. (...)
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  25. Even good bots fight: the case of Wikipedia.Milena Tsvetkova, Ruth García-Gavilanes, Luciano Floridi & Taha Yasseri - 2017 - PLoS ONE 12 (2).
    In recent years, there has been a huge increase in the number of bots online, varying from Web crawlers for search engines, to chatbots for online customer service, spambots on social media, and content-editing bots in online collaboration communities. The online world has turned into an ecosystem of bots. However, our knowledge of how these automated agents are interacting with each other is rather poor. Bots are predictable automatons that do not have the capacity for emotions, meaning-making, creativity, and sociality (...)
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  26. A phenomenology and epistemology of large language models: transparency, trust, and trustworthiness.Richard Heersmink, Barend de Rooij, María Jimena Clavel Vázquez & Matteo Colombo - 2024 - Ethics and Information Technology 26 (3):1-15.
    This paper analyses the phenomenology and epistemology of chatbots such as ChatGPT and Bard. The computational architecture underpinning these chatbots are large language models (LLMs), which are generative artificial intelligence (AI) systems trained on a massive dataset of text extracted from the Web. We conceptualise these LLMs as multifunctional computational cognitive artifacts, used for various cognitive tasks such as translating, summarizing, answering questions, information-seeking, and much more. Phenomenologically, LLMs can be experienced as a “quasi-other”; when that happens, users anthropomorphise them. (...)
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  27. AI systems must not confuse users about their sentience or moral status.Eric Schwitzgebel - 2023 - Patterns 4.
    One relatively neglected challenge in ethical artificial intelligence (AI) design is ensuring that AI systems invite a degree of emotional and moral concern appropriate to their moral standing. Although experts generally agree that current AI chatbots are not sentient to any meaningful degree, these systems can already provoke substantial attachment and sometimes intense emotional responses in users. Furthermore, rapid advances in AI technology could soon create AIs of plausibly debatable sentience and moral standing, at least by some relevant definitions. Morally (...)
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  28. La logique algorithmique confrontée à l'organisation de l'administration publique française.Giada Pistilli - 2021 - Giornale di Filosofia 2 (2):163-169.
    Cet article montre comment la logique algorithmique d’un agent conversationnel peut aider l’organisation des connaissances au sein d’une organisation de l’administration publique française, notamment une collectivité territoriale. Par le bias d’une recherche sur le terrain, je cherche à montrer comment il existe deux différentes adoptions de la technologie de la part de l’administration publique : une complexifiante et une simplifiante.
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  29. The Role of Digital Technologies in Modern Trade: a Study of Global Trends and Prospects for Ukraine.Valeriia V. Vorobiova, Oleksandr P. Krupskyi & Yuliya Stasiuk - 2023 - Economic Journal Odessa Polytechnic University 2 (24):44-55.
    Digital technologies are becoming an essential tool in modern trade, contributing to its development and change. This article examines global trends in using digital technologies in trade and their potential impact on the Ukrainian market. The research shows that e-commerce, mobile shopping experience, smart technologies, and data analytics are key areas that affect consumers and business processes. The authors of the article analyze the impact of digital technologies on consumers, pointing to the growth of e-commerce and the convenience of online (...)
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  30.  59
    AI-Powered Legal Documentation Assistant.P. Aishwarya - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (6):1-15.
    The Legal Documentation Assistant offers a unique method to obtain legal rights, specializing in copyright, trademark, and banking using a combination of artificial intelligence (AI) technologies. Through the synergy of legal expertise and technological innovation, our dynamic website is designed to offer clients real-time assistance and guidance to help them efficiently navigate complex legal requirements. Our personalized bots provide tailored support and answer queries, ensuring clients receive the help they need. At the core of our platform is a combination of (...)
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  31. Chatbots shouldn’t use emojis.Carissa Véliz - 2023 - Nature 615:375.
    Limits need to be set on AI’s ability to simulate human feelings. Ensuring that chatbots don’t use emotive language, including emojis, would be a good start. Emojis are particularly manipulative. Humans instinctively respond to shapes that look like faces — even cartoonish or schematic ones — and emojis can induce these reactions.
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  32. Conversations with Chatbots.P. Connolly - forthcoming - In Patrick Connolly, Sandy Goldberg & Jennifer Saul (eds.), Conversations Online. Oxford University Press.
    The problem considered in this chapter emerges from the tension we find when looking at the design and architecture of chatbots on the one hand and their conversational aptitude on the other. In the way that LLM chatbots are designed and built, we have good reason to suppose they don't possess second-order capacities such as intention, belief or knowledge. Yet theories of conversation make great use of second-order capacities of speakers and their audiences to explain how aspects of interaction succeed. (...)
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  33. Communing with the Dead Online: Chatbots, Grief, and Continuing Bonds.Joel Krueger & Lucy Osler - 2022 - Journal of Consciousness Studies 29 (9-10):222-252.
    Grief is, and has always been, technologically supported. From memorials and shrines to photos and saved voicemail messages, we engage with the dead through the technologies available to us. As our technologies evolve, so does how we grieve. In this paper, we consider the role chatbots might play in our grieving practices. Influenced by recent phenomenological work, we begin by thinking about the character of grief. Next, we consider work on developing “continuing bonds” with the dead. We argue that for (...)
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  34.  59
    Online Chatbot Based Ticketing System.P. Sanjana - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (7):1-15.
    The Online Chatbot-Based Ticketing System is designed to enhance user experience and streamline the process of booking tickets for various events, services, and travel. Traditional ticketing systems often involve lengthy processes, leading to user frustration and inefficiencies. This system leverages advanced chatbot technology to provide a conversational interface that allows users to interact seamlessly with the ticketing platform. The core functionalities of the system include real-time ticket booking, event inquiries, payment processing, and support for user queries through a (...)
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  35. Emotional Intelligence and Mental Health of Senior High School Students: A Correlational Study.Jasmin Nerissa S. Yco, April Jasmin M. Gonzaga, Jessa Cervantes, Gian Benedict J. Goc-Ong, Haamiah Eunice R. Padios & Jhoselle Tus - 2023 - Psychology and Education: A Multidisciplinary Journal 11 (2):629-633.
    Mental health among students is one of the major concerns amidst the pandemic. Employing a correlational design, this study investigates the relationship between emotional intelligence and mental health among 152 senior high school students. Based on the statistical analysis, the r coefficient of 0.82 indicates a high positive correlation between the variables. The p-value of 0.00, which is less than 0.05, leads to the decision to reject the null hypothesis. Hence, a significant relationship exists between emotional intelligence and mental health (...)
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  36. Artificial Intelligence, Robots and the Ethics of the Future.Constantin Vica & Cristina Voinea - 2019 - Revue Roumaine de Philosophie 63 (2):223–234.
    The future rests under the sign of technology. Given the prevalence of technological neutrality and inevitabilism, most conceptualizations of the future tend to ignore moral problems. In this paper we argue that every choice about future technologies is a moral choice and even the most technology-dominated scenarios of the future are, in fact, moral provocations we have to imagine solutions to. We begin by explaining the intricate connection between morality and the future. After a short excursion into the history of (...)
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  37. Mathematics Intelligent Tutoring System.Nour N. AbuEloun & Samy S. Abu Naser - 2017 - International Journal of Advanced Scientific Research 2 (1):11-16.
    In these days, there is an increasing technological development in intelligent tutoring systems. This field has become interesting to many researchers. In this paper, we present an intelligent tutoring system for teaching mathematics that help students understand the basics of math and that helps a lot of students of all ages to understand the topic because it's important for students of adding and subtracting. Through which the student will be able to study the course and solve related problems. (...)
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  38. An Intelligent Tutoring System for Teaching Grammar English Tenses.Mohammed I. Alhabbash, Ali O. Mahdi & Samy S. Abu Naser - 2016 - European Academic Research 4 (9):1-15.
    The evolution of Intelligent Tutoring System (ITS) is the result of the amount of research in the field of education and artificial intelligence in recent years. English is the third most common languages in the world and also is the internationally dominant in the telecommunications, science and trade, aviation, entertainment, radio and diplomatic language as most of the areas of work now taught in English. Therefore, the demand for learning English has increased. In this paper, we describe the design (...)
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  39. An Intelligent Tutoring System for Health Problems Related To Addiction of Video Game Playing.Mohran H. Al-Bayed & Samy S. Abu Naser - 2017 - International Journal of Advanced Scientific Research 2 (1):4-10.
    Lately in the past couple of years, there are an increasing in the normal rate of playing computer games or video games compared to the E-learning content that are introduced for the safety of our children, and the impact of the video game addictiveness that ranges from (Musculoskeletal issues, Vision problems and Obesity). Furthermore, this paper introduce an intelligent tutoring system for both parent and their children for enhancement the experience of gaming and tell us about the health problems (...)
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  40. Artificial Intelligence and the Body: Dreyfus, Bickhard, and the Future of AI.Daniel Susser - 2013 - In Vincent Müller (ed.), Philosophy and Theory of Artificial Intelligence. Springer. pp. 277-287.
    For those who find Dreyfus’s critique of AI compelling, the prospects for producing true artificial human intelligence are bleak. An important question thus becomes, what are the prospects for producing artificial non-human intelligence? Applying Dreyfus’s work to this question is difficult, however, because his work is so thoroughly human-centered. Granting Dreyfus that the body is fundamental to intelligence, how are we to conceive of non-human bodies? In this paper, I argue that bringing Dreyfus’s work into conversation with the work of (...)
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  41. Emotional Intelligence.Sfetcu Nicolae - manuscript
    Emotional intelligence is the ability of individuals to recognize their own and others' emotions, to discern between different feelings and to label them correctly, using emotional information to guide thinking and behavior, and to manage and adjust emotions to adapt to the environment or to achieve their own goals. There are several models that aim to measure emotional intelligence levels. Goleman's original model is a mixed model that combines abilities with traits. A trait model was developed by Konstantinos V. Petrides (...)
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  42. Artificial Intelligence vs. Human Intelligence: Are the Boundaries Blurring?R. L. Tripathi - 2024 - Open Access Journal of Data Science and Artificial Intelligence 2 (1).
    This article focuses on the interaction between man and machine, AI specifically, to analyse how these systems are slowly taking over roles that hitherto were thought ‘only’ for humans. More recent, as AI has stepped up in ability to learn without supervision, to recognize patterns, and to solve problems, it adopted characteristics like creativity, novelty, intentionality. These events take one to the heart of what it is to be human, and the emerging definitions of self that are increasingly central to (...)
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  43. 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 to (...)
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  44. Minimum Intelligent Signal Test as an Alternative to the Turing Test.Paweł Łupkowski & Patrycja Jurowska - 2019 - Diametros 59:35-47.
    The aim of this paper is to present and discuss the issue of the adequacy of the Minimum Intelligent Signal Test (MIST) as an alternative to the Turing Test. MIST has been proposed by Chris McKinstry as a better alternative to Turing’s original idea. Two of the main claims about MIST are that (1) MIST questions exploit commonsense knowledge and as a result are expected to be easy to answer for human beings and difficult for computer programs; and that (...)
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  45. An Intelligent Tutoring System for Cloud Computing.Hasan Abdulla Abu Hasanein & Samy S. Abu Naser - 2017 - International Journal of Academic Research and Development 2 (1):76-80.
    Intelligent tutoring system (ITS) is a computer system which aims to provide immediate and customized or reactions to learners, usually without the intervention of human teacher's instructions. Secretariats professional to have the common goal of learning a meaningful and effective manner through the use of a variety of computing technologies enabled. There are many examples of professional Secretariats used in both formal education and in professional settings that have proven their capabilities. There is a close relationship between private lessons (...)
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  46. Is Intelligent Design creationism?Massimo Pigliucci - 2009 - In Kendrick Frazier (ed.), Science Under Siege: Defending Science, Exposing Pseudoscience. Prometheus.
    Intelligent Design proponents want to distinguish themselves from creationists. But the distinction appears to be without a difference.
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  47. 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 ‘good (...)
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  48. A Talking Cure for Autonomy Traps : How to share our social world with chatbots.Regina Rini - manuscript
    Large Language Models (LLMs) like ChatGPT were trained on human conversation, but in the future they will also train us. As chatbots speak from our smartphones and customer service helplines, they will become a part of everyday life and a growing share of all the conversations we ever have. It’s hard to doubt this will have some effect on us. Here I explore a specific concern about the impact of artificial conversation on our capacity to deliberate and hold ourselves accountable (...)
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  49. Intelligence Socialism.Carlotta Pavese - forthcoming - Oxford Studies in Philosophy of Mind.
    From artistic performances in the visual arts and in music to motor control in gymnastics, from tool use to chess and language, humans excel in a variety of skills. On the plausible assumption that skillful behavior is a visible manifestation of intelligence, a theory of intelligence—whether human or not—should be informed by a theory of skills. More controversial is the question as to whether, in order to theorize about intelligence, we should study certain skills in particular. My target is the (...)
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  50. 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 utilitarianism, (...)
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