Results for 'artificial intelligence'

972 found
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  1. Part II. A walk around the emerging new world. Russia in an emerging world / excerpt: from "Russia and the solecism of power" by David Holloway ; China in an emerging world.Constraints Excerpt: From "China'S. Demographic Prospects Toopportunities, Excerpt: From "China'S. Rise in Artificial Intelligence: Ingredientsand Economic Implications" by Kai-Fu Lee, Matt Sheehan, Latin America in an Emerging Worldsidebar: Governance Lessons From the Emerging New World: India, Excerpt: From "Latin America: Opportunities, Challenges for the Governance of A. Fragile Continent" by Ernesto Silva, Excerpt: From "Digital Transformation in Central America: Marginalization or Empowerment?" by Richard Aitkenhead, Benjamin Sywulka, the Middle East in an Emerging World Excerpt: From "the Islamic Republic of Iran in an Age of Global Transitions: Challenges for A. Theocratic Iran" by Abbas Milani, Roya Pakzad, Europe in an Emerging World Sidebar: Governance Lessons From the Emerging New World: Japan, Excerpt: From "Europe in the Global Race for Technological Leadership" by Jens Suedekum & Africa in an Emerging World Sidebar: Governance Lessons From the Emerging New Wo Bangladesh - 2020 - In George P. Shultz, A hinge of history: governance in an emerging new world. Stanford, California: Hoover Institution Press, Stanford University.
     
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  2. Defending explicability as a principle for the ethics of artificial intelligence in medicine.Jonathan Adams - 2023 - Medicine, Health Care and Philosophy 26 (4):615-623.
    The difficulty of explaining the outputs of artificial intelligence (AI) models and what has led to them is a notorious ethical problem wherever these technologies are applied, including in the medical domain, and one that has no obvious solution. This paper examines the proposal, made by Luciano Floridi and colleagues, to include a new ‘principle of explicability’ alongside the traditional four principles of bioethics that make up the theory of ‘principlism’. It specifically responds to a recent set of (...)
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  3. Trust in Medical Artificial Intelligence: A Discretionary Account.Philip J. Nickel - 2022 - Ethics and Information Technology 24 (1):1-10.
    This paper sets out an account of trust in AI as a relationship between clinicians, AI applications, and AI practitioners in which AI is given discretionary authority over medical questions by clinicians. Compared to other accounts in recent literature, this account more adequately explains the normative commitments created by practitioners when inviting clinicians’ trust in AI. To avoid committing to an account of trust in AI applications themselves, I sketch a reductive view on which discretionary authority is exercised by AI (...)
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  4.  31
    The Reasonable Robot: Artificial Intelligence and the Law.Ryan Abbott - 2020 - Cambridge University Press.
    AI and people do not compete on a level-playing field. Self-driving vehicles may be safer than human drivers, but laws often penalize such technology. People may provide superior customer service, but businesses are automating to reduce their taxes. AI may innovate more effectively, but an antiquated legal framework constrains inventive AI. In The Reasonable Robot, Ryan Abbott argues that the law should not discriminate between AI and human behavior and proposes a new legal principle that will ultimately improve human well-being. (...)
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  5.  45
    An Epistemological Analysis of the Social and Humanitarian Significance of Artificial Intelligence Innovations in Context of Artificial General Intelligence.Борис Борисович Славин - 2022 - Russian Journal of Philosophical Sciences 65 (1):10-26.
    Nowadays, new directions for the development of artificial intelligence (AI) have emerged, the task has been set to develop artificial general intelligence (AGI), which is able to go beyond the narrow AI, gain a high degree of autonomy, independently solve problems in different environmental conditions and thus have the ability to perform the functions of natural intelligence. In this regard, important philosophical, theoretical, and methodological questions arise concerning the definition and evaluation of the social significance (...)
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  6.  80
    Exploring intellectual humility through the lens of artificial intelligence: Top terms, features and a predictive model.Ehsan Abedin, Marinus Ferreira, Ritsaart Reimann, Marc Cheong, Igor Grossmann & Mark Alfano - 2023 - Acta Psychologica 238 (103979).
    Intellectual humility (IH) is often conceived as the recognition of, and appropriate response to, your own intellectual limitations. As far as we are aware, only a handful of studies look at interventions to increase IH – e.g. through journalling – and no study so far explores the extent to which having high or low IH can be predicted. This paper uses machine learning and natural language processing techniques to develop a predictive model for IH and identify top terms and features (...)
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  7.  33
    Helen A'Loy and other tales of female automata: a gendered reading of the narratives of hopes and fears of intelligent machines and artificial intelligence.Rachel Adams - 2020 - AI and Society 35 (3):569-579.
    The imaginative context in which artificial intelligence is embedded remains a crucial touchstone from which to understand and critique both the histories and prospective futures of an AI-driven world. A recent article from Cave and Dihal sets out a narrative schema of four hopes and four corresponding fears associated with intelligent machines and AI. This article seeks to respond to the work of Cave and Dihal by presenting a gendered reading of this schema of hopes and fears. I (...)
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  8. The limitation of ethics-based approaches to regulating artificial intelligence: regulatory gifting in the context of Russia.Gleb Papyshev & Masaru Yarime - forthcoming - AI and Society:1-16.
    The effects that artificial intelligence (AI) technologies will have on society in the short- and long-term are inherently uncertain. For this reason, many governments are avoiding strict command and control regulations for this technology and instead rely on softer ethics-based approaches. The Russian approach to regulating AI is characterized by the prevalence of unenforceable ethical principles implemented via industry self-regulation. We analyze the emergence of the regulatory regime for AI in Russia to illustrate the limitations of this approach. (...)
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  9.  59
    Conversations on African Philosophy of Mind, Consciousness and Artificial Intelligence.Aribiah David Attoe, Segun Samuel Temitope, Victor Nweke, John Umezurike & Jonathan Okeke Chimakonam (eds.) - 2023 - Springer Verlag.
    This book offers a first glimpse into contemporary African Philosophical thought, which covers issues related to the mind-body relationships, the problem of consciousness, the ethics of artificial intelligence, the meaning of life and other topics. Taking inspiration from the conversational tradition in African philosophy, this book not only engages with and takes inspiration from traditional African thought, but also engages with philosophical views outside the philosophical tradition in a bid to present a holistic understanding of the problems that (...)
  10. Keith S. Decker.Intelligence Testbeds - 1996 - In N. Jennings & G. O'Hare, Foundations of Distributed Artificial Intelligence. Wiley. pp. 9--119.
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  11.  20
    Drivers behind the public perception of artificial intelligence: insights from major Australian cities.Tan Yigitcanlar, Kenan Degirmenci & Tommi Inkinen - forthcoming - AI and Society:1-21.
    Artificial intelligence is not only disrupting industries and businesses, particularly the ones have fallen behind the adoption, but also significantly impacting public life as well. This calls for government authorities pay attention to public opinions and sentiments towards AI. Nonetheless, there is limited knowledge on what the drivers behind the public perception of AI are. Bridging this gap is the rationale of this paper. As the methodological approach, the study conducts an online public perception survey with the residents (...)
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  12.  20
    Poverty and freedom: philosophical reflection on the future development of artificial intelligence.Zhongyuan Zhu - forthcoming - AI and Society:1-8.
    Artificial intelligence is flourishing and unstoppable, its super similar characteristics to humans are surprising, and its super high value is delightful, but its super intelligence and high risk are frightening. The poverty of thinking will not only constrain humans’ mental growth, but also limit the healthy development of artificial intelligence. Humans have taken action to deal with it, but the effectiveness of practice is getting worse and worse, mainly because it is too difficult to liberate (...)
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  13.  11
    (1 other version)A new way of finding analogues as an opportunity to study language, thinking and build artificial intelligence systems.А. Б Хомяков & П Чижик - 2024 - Philosophical Problems of IT and Cyberspace (PhilITandC) 1:77-88.
    The article presents a new method for obtaining analogues of words, characterized by simplicity and the absence of the need for preliminary training on large data as in existing methods. In the method under study, analogues are determined by their syntactic predicates using methods of distributive semantics. In the study, analogues of adjectives, nouns and verbs were obtained and analyzed. This made it possible to obtain a result that is not inferior to the results obtained using the most popular neural (...)
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  14.  55
    The future of artificial intelligence, posthumanism and the inflection of Pixley Isaka Seme’s African humanism.Malesela John Lamola - 2022 - AI and Society 37 (1):131-141.
    Increasingly, innovation in artificial intelligence technologies portends the re-conceptualization of human existentiality along the paradigm of posthumanism. An exposition of this through a critical culturo-historical methodology uncloaks the Eurocentric genitive basis of the philosophical anthropology that underpins this technological posthumanism, as well as its dystopian possibilities. As a contribution to obviating the latter, an Africanist civilizational humanism proclaimed by Pixley ka Isaka Seme is proffered as a plausible alternative paradigm for humanity’s technological advancement. Seme, a pan-Africanist thinker of (...)
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  15. (1 other version)Meeting Floridi's challenge to artificial intelligence from the knowledge-game test for self-consciousness.Selmer Bringsjord - 2010 - Metaphilosophy 41 (3):292-312.
    Abstract: In the course of seeking an answer to the question "How do you know you are not a zombie?" Floridi (2005) issues an ingenious, philosophically rich challenge to artificial intelligence (AI) in the form of an extremely demanding version of the so-called knowledge game (or "wise-man puzzle," or "muddy-children puzzle")—one that purportedly ensures that those who pass it are self-conscious. In this article, on behalf of (at least the logic-based variety of) AI, I take up the challenge—which (...)
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  16.  17
    The Degree to Which Public School Principals Possess Artificial Intelligence Applications in the Karbala Governorate Education Directorate.Ahmad Haddad Abed1, Elham Kaviani, Mahdi Sadeghi & Anahita Faraji - forthcoming - Evolutionary Studies in Imaginative Culture:1773-1792.
    The study aims to identify the degree of possession of government school principals in the Karbala Governorate Education Directorate of artificial intelligence applications. The descriptive analytical approach was used. To achieve the study objectives, a questionnaire which contained (34) items was developed, divided into five dimensions. The study community was (114) male and female principals. The study sample consisted of (94) male and female managers, and the sample was selected randomly. The results of the study showed that the (...)
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  17.  21
    Inclusion of Clinicians in the Development and Evaluation of Clinical Artificial Intelligence Tools: A Systematic Literature Review.Stephanie Tulk Jesso, Aisling Kelliher, Harsh Sanghavi, Thomas Martin & Sarah Henrickson Parker - 2022 - Frontiers in Psychology 13.
    The application of machine learning and artificial intelligence in healthcare domains has received much attention in recent years, yet significant questions remain about how these new tools integrate into frontline user workflow, and how their design will impact implementation. Lack of acceptance among clinicians is a major barrier to the translation of healthcare innovations into clinical practice. In this systematic review, we examine when and how clinicians are consulted about their needs and desires for clinical AI tools. Forty-five (...)
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  18.  29
    Agents and Artificial Intelligence.Jasper van den Herik, A. Rocha & J. Filipe (eds.) - 2017 - Springer.
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  19. Philosophy and Artificial Intelligence in Canada.John Baker - 1994 - Eidos: The Canadian Graduate Journal of Philosophy 12.
  20.  23
    Cognitive Priority over Ethical Priority in Artificial Intelligence: The Primordial Philosophical Analysis in Artificial Intelligence.Zapata Flórez A. - 2022 - Philosophy International Journal 5 (4):1-10.
    The general idea that we have of artificial intelligence (AI) consists of the belief that machines will be able to develop conscious thoughts such as those possessed by human beings, and, as computing advances, such thinking will also advance until intelligence to surpass the human being, with which the advancement of AI represents ethical risks in the future. In reality, such a belief hides a cognitive assumption, which assumes that computational engineering explains human intelligence through the (...)
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  21.  8
    Wayne Holmes and Kaśka Porayska-Pomsta (Eds.): The Ethics of Artificial Intelligence in Education: Practices, Challenges, and Debates.Chan Aristella Lu - forthcoming - AI and Society:1-2.
  22.  15
    Cognitive imperialism in artificial intelligence: counteracting bias with indigenous epistemologies.Yaw Ofosu-Asare - forthcoming - AI and Society:1-17.
    This paper presents a novel methodology for integrating indigenous knowledge systems into AI development to counter cognitive imperialism and foster inclusivity. By critiquing the dominance of Western epistemologies and highlighting the risks of bias, the authors argue for incorporating diverse epistemologies. The proposed framework outlines a participatory approach that includes indigenous perspectives, ensuring AI benefits all. The methodology draws from AI ethics, indigenous studies, and postcolonial theory, emphasizing co-creation with indigenous communities, ethical protocols for indigenous data governance, and adaptation of (...)
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  23.  51
    Military artificial intelligence as power: consideration for European Union actorness.Justinas Lingevicius - 2023 - Ethics and Information Technology 25 (1):1-13.
    The article focuses on the inconsistency between the European Commission’s position on excluding military AI from its emerging AI policy, and at the same time EU policy initiatives targeted at supporting military and defence elements of AI on the EU level. It leads to the question, what, then, does the debate on military AI suggest to the EU’s actorness discussed in the light of Europe as a power debate with a particular focus on Normative Power Europe, Market Power Europe, and (...)
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  24.  98
    Informal Logic, Argumentation Theory and Artificial Intelligence.Michael A. Gilbert - 2002 - Informal Logic 22 (3).
    Informal Logic, Argumentation Theory and Artificial Intelligence.
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  25.  15
    Visual Performance of Psychological Factors in Interior Design Under the Background of Artificial Intelligence.Yunkai Xu & TianTian Yu - 2022 - Frontiers in Psychology 13.
    Sensation is the reflection of the brain on the individual attributes of objective things that directly act on the sense organs. Feeling is the most elementary cognitive process and the simplest psychological phenomenon. Vision is a kind of sense, and sense is produced by objective things acting on the sense organs. But at present, it is rare to analyze interior design exhibition from the perspective of visual psychology, an emerging science, as an interdisciplinary attempt, only in interior design research. Therefore, (...)
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  26.  15
    Live like nobody is watching: relational autonomy in the age of artificial intelligence health monitoring.Anita Ho - 2023 - New York, NY: Oxford University Press.
    In recent years, artificial intelligence (AI) has garnered tremendous attention across a range of sectors, including health care. AI is a comprehensive term, broadly defined as computational machines making decisions and performing tasks that previously required human intelligence or cognition. There are high expectations of what AI can do; enthusiasts sometimes refer to it as a central pillar of the Fourth Industrial Revolution, with an impact on humanity as profound as that of the steam power engine or (...)
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  27.  26
    What makes us human?: an Artificial Intelligence answers life's biggest questions.Jasmine Wang - 2022 - Boulder, Colorado: Sounds True. Edited by Iain S. Thomas & Gpt-3.
    A groundbreaking endeavor that explores human spirituality using the evolving technology of artificial intelligence.
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  28.  88
    Cinema and Machine Vision: Artificial Intelligence, Aesthetics and Spectatorship.Daniel Chavez Heras - 2024 - Edinburgh: Edinburgh University Press.
    Cinema and Machine Vision unfolds the aesthetic, epistemic, and ideological dimensions of machine-seeing films and television using computers. With its critical-technical approach, this book presents to the reader key new problems that arise as AI becomes integral to visual culture. The book theorises machine vision through a selection of aesthetics, film theory, and applied machine learning research, dispelling widely held assumptions about computer systems designed to watch and make images on our behalf. -/- At its heart, Cinema and Machine Vision (...)
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  29.  10
    Some Aspects of Ethics and Research Into Artificial Intelligence.D. Remenyi & Brian Williams - 1995 - Henley Management College.
  30.  22
    Natural intelligence in a counterattack against artificial intelligence (a polemical response to “How to Create a Mind” by Ray Kurzweil).А. Н Фатенков - 2022 - Philosophy Journal 15 (3):172-183.
    By turning to geometric metaphors, the author defends the naturally based intelligence and – in the context of analysing Ray Kurzweil’s conception – criticises the artificial in­telligence. The focus is on the ability of man and machine to solve the so-called unsolv­able problems. This issue is discussed in conjunction with the issues of hierarchy, homo­geneity and heterogeneity, contradiction and analogy, meaning and information. Argu­ments are given to support the following ideas: 1) digital technologies do not overcome the fundamental (...)
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  31.  31
    Developments in Intellectual Property Strategy: The Impact of Artificial Intelligence, Robotics and New Technologies.Nadia Naim (ed.) - 2024 - Springer Verlag.
    Research in the area of intellectual property (IP) is increasingly relevant to the rapidly growing artificial intelligence (AI) and robotics industries, affecting the legal, business, manufacturing, and healthcare sectors. This contributed volume aims to develop our understanding of the legal and ethical challenges posed by artificial intelligence and robotics technologies and the appropriate intellectual property based legal and regulatory responses. It provides a philosophical and legal framework for considering concepts and principles that relate to the development (...)
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  32.  27
    From Blade Runners to Tin Kickers: what the governance of artificial intelligence safety needs to learn from air crash investigators.Carl Macrae - 2023 - AI and Society 38 (5):1971-1973.
  33.  22
    A Philosophical Reflection on Human Beings in the era of Artificial Intelligence - Focused on the Debates between Kant’s Anthropology and Modern Neuroscience -. 김영례 - 2018 - Journal of the New Korean Philosophical Association 91:105-128.
    과학기술의 급속한 발달로 인해 우리는 대변혁의 시기에 서 있다. 생명공학, 신경과학의 발달은 인간의 정신이나 신체를 조작의 대상으로 삼아서 포스트휴먼의 시대를 예고한다. 신경망 인공지능의 발달은 제4차 산업혁명을 야기하여 우리를 쓸모없는 인간집단으로 만들지도 모른다. 과학이 추진하는 미래는 유토피아인가 디스토피아인가? 논자는 인간의 본질을 통해 이 문제의 실마리를 찾아야 한다고 생각한다. 인간성은 역사과정의 모든 변화에도 불구하고 우리가 누구인지에 대한 판단을 지탱해준 근간이었다. 인간의 의식은 여전히 자신을 드러내지 않는 신비한 블랙박스며, 신체의 조작과 개선을 통해 우리의 본질을 잃어서는 안 된다. 그래서 칸트의 인간학을 토대로 인간이 무엇인가를 (...)
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  34. Otto Neumaier.Artificial Intelligence - 1987 - In Rainer Born, Artificial Intelligence: The Case Against. St Martin's Press. pp. 132.
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  35.  34
    Where is the human got to go? Artificial intelligence, machine learning, big data, digitalisation, and human–robot interaction in Industry 4.0 and 5.0. [REVIEW]Joachim Vogt - 2024 - AI and Society:1-5.
    Recently, Mr. Bauer (2020), CEO of BAM, a human resources service provider, reported about the introduction of a continuous change process using artificial intelligence. From this as a starting point, the article defines and discusses change processes, transformation management, and organisational development. The cudgels are taken up on behalf of the human-in-the-loop. It is argued, that the so-called “weak” artificial intelligence, including the human, is superior to the black box approach, hiding the system state as well (...)
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  36.  92
    E-Discovery revisited: the need for artificial intelligence beyond information retrieval. [REVIEW]Jack G. Conrad - 2010 - Artificial Intelligence and Law 18 (4):321-345.
    In this work, we provide a broad overview of the distinct stages of E-Discovery. We portray them as an interconnected, often complex workflow process, while relating them to the general Electronic Discovery Reference Model (EDRM). We start with the definition of E-Discovery. We then describe the very positive role that NIST’s Text REtrieval Conference (TREC) has added to the science of E-Discovery, in terms of the tasks involved and the evaluation of the legal discovery work performed. Given the critical nature (...)
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  37.  39
    Disillusioned with artificial intelligence: a book review. [REVIEW]Manh-Tung Ho - 2019 - AI and Society:1-2.
  38.  14
    Artificial intelligence versus collective intelligence.Harry Halpin - forthcoming - AI and Society:1-16.
    The ontological presupposition of artificial intelligence (AI) is the liberal autonomous human subject of Locke and Kant, and the ideology of AI is the automation of this particular conception of intelligence. This is demonstrated in detail in classical AI by the work of Simon, who explicitly connected his work on AI to a wider programme in cognitive science, economics, and politics to perfect capitalism. Although Dreyfus produced a powerful Heideggerian critique of classical AI, work on neural networks (...)
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  39.  32
    Artificial intelligence, public control, and supply of a vital commodity like COVID-19 vaccine.Vladimir Tsyganov - 2023 - AI and Society 38 (6):2619-2628.
    The article examines the problem of ensuring the political stability of a democratic social system with a shortage of a vital commodity (like vaccine against COVID-19). In such a system, members of society citizens assess the authorities. Thus, actions by the authorities to increase the supply of this commodity can contribute to citizens' approval and hence political stability. However, this supply is influenced by random factors, the actions of competitors, etc. Therefore, citizens do not have sufficient information about all the (...)
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  40. Psychoanalyzing artificial intelligence: the case of Replika.Luca M. Possati - 2023 - AI and Society 38 (4):1725-1738.
    The central thesis of this paper is that human unconscious processes influence the behavior and design of artificial intelligence (AI). This thesis is discussed through the case study of a chatbot called Replika, which intends to provide psychological assistance and friendship but has been accused of inciting murder and suicide. Replika originated from a trauma and a work of mourning lived by its creator. The traces of these unconscious dynamics can be detected in the design of the app (...)
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  41.  41
    Automation, Artificial Intelligence, and the God/Useless Divide.Alec Stubbs - 2017 - Perspectives on Global Development and Technology 16 (6):700-716.
    Automation, artificial intelligence, and biotechnology have become topics of increasing interest in both academia as well as in popular media. The goal of this article is to establish which issues are the most pressing, and what are the underlying causes of the rise of robots. I demonstrate that fears of automation are well supported by current trends of automation as well as the inherent tendency within a capitalist system to automate at the expense of workers and working wages. (...)
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  42.  30
    An Artificial Intelligence Ethics for Professionals - Proposing a Virtue Based Model -. 목광수 - 2020 - Journal of the New Korean Philosophical Association 102:123-148.
    본 논문의 목적은 현재의 인공지능(artificial intelligence, 이하 AI) 윤리 논의에서 결여되어 있는 AI 개발자 윤리의 중요성과 필요성을 부각하고, AI 개발자 윤리로 덕성(virtue)기반의 모델이 적합함을 보여 이를 제안하는 것이다. AI는 고정된 과학기술이 아니라 발전노정에 있는 동적이라는 특성과 인간과의 상호작용에서 AI를 만든 인간의 삶에 지대한 영향을 끼치는 재귀적 특성이 있는 과학기술이다. 이러한 AI의 특성으로 인해, AI가 초래할 리스크에 대응하려는 AI 윤리는 발전 과정에 따라 제시되어야 한다는 점에서 체계적이고, 실천을 도모하는 동기부여의 구조를 가져야 한다는 점에서 기존 도덕의 형식적 특징인 1인칭, 2인칭, (...)
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  43.  73
    Artificial Intelligence, Automation, and Social Welfare: Some Ethical and Historical Perspectives on Technological Overstatement and Hyperbole.Jo Ann Oravec - 2019 - Ethics and Social Welfare 13 (1):18-32.
    The potential societal impacts of automation using intelligent control and communications technologies have emerged as topics in a number of recent writings and public policy initiatives. Many of these expressions have referenced the writings and research efforts of Herbert Simon (1961), Norbert Wiener (1948), and contemporaries from their early technological and social vantage points concerning the future of technology and society. Constructed entities labeled as “thinking machines” (such as IBM’s Watson as well as intelligent chatbot and robotic systems) have also (...)
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  44.  98
    Conversational Artificial Intelligence in Psychotherapy: A New Therapeutic Tool or Agent?Jana Sedlakova & Manuel Trachsel - 2022 - American Journal of Bioethics 23 (5):4-13.
    Conversational artificial intelligence (CAI) presents many opportunities in the psychotherapeutic landscape—such as therapeutic support for people with mental health problems and without access to care. The adoption of CAI poses many risks that need in-depth ethical scrutiny. The objective of this paper is to complement current research on the ethics of AI for mental health by proposing a holistic, ethical, and epistemic analysis of CAI adoption. First, we focus on the question of whether CAI is rather a tool (...)
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  45. Artificial Intelligence, Neurodiversity, and Trust: An Exploratory Overview.Sasa Horvat & Tanja Horvat - 2025 - Scientia et Fides 13 (1):215-232.
    The paper examines the relationship between artificial intelligence (AI), neurodiversity, and trust. It aims to address the gap in understanding the impact AI has on neurodivergent individuals. First, it provides a general introduction to neurodiversity, highlighting its variations and societal significance. Second, the paper introduces AI, focusing on its potential to support neurodivergent individuals in overcoming challenges related to communication, executive functioning, sensory processing, education and socialization. The paper proceeds by exploring the complexities of trust from a philosophical (...)
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  46. Artificial Intelligence: Its Scope and Limits.James H. Fetzer - 1990 - Kluwer Academic Publishers.
    1. WHAT IS ARTIFICIAL INTELLIGENCE? One of the fascinating aspects of the field of artificial intelligence (AI) is that the precise nature of its subject ..
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  47.  1
    Artificial intelligence (AI)-poverty-economic growth nexus in selected BRICS-Plus countries: does the moderating role of governance matter?Charles Shaaba Saba - forthcoming - AI and Society:1-35.
    The BRICS nations (Brazil, Russia, India, China, and South Africa) aim to achieve Sustainable Development Goal (SDG) 1 (poverty eradication) and SDG 8 (sustainable economic growth), yet the moderating role of governance in artificial intelligence (AI)-poverty-growth nexus remains underexplored. Therefore, this study investigates the AI-poverty-economic growth nexus in selected BRICS-Plus countries (2012–2023), with governance as a moderating variable, using the Cross-Sectional Augmented Autoregressive Distributed Lag (CS-ARDL) technique. The results show a long-term equilibrium among variables, with unidirectional causality: (i) (...)
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  48. Artificial intelligence, transparency, and public decision-making.Karl de Fine Licht & Jenny de Fine Licht - 2020 - AI and Society 35 (4):917-926.
    The increasing use of Artificial Intelligence for making decisions in public affairs has sparked a lively debate on the benefits and potential harms of self-learning technologies, ranging from the hopes of fully informed and objectively taken decisions to fear for the destruction of mankind. To prevent the negative outcomes and to achieve accountable systems, many have argued that we need to open up the “black box” of AI decision-making and make it more transparent. Whereas this debate has primarily (...)
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  49. 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 (...)
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  50. 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 (...)
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