Results for 'Decision making and ethics,Natural language processing in machine ethics,Rule based fuzzy cognitive maps'

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  1.  35
    Rule based fuzzy cognitive maps and natural language processing in machine ethics.Rollin M. Omari & Masoud Mohammadian - 2016 - Journal of Information, Communication and Ethics in Society 14 (3):231-253.
    The developing academic field of machine ethics seeks to make artificial agents safer as they become more pervasive throughout society. In contrast to computer ethics, machine ethics is concerned with the behavior of machines toward human users and other machines. This study aims to use an action-based ethical theory founded on the combinational aspects of deontological and teleological theories of ethics in the construction of an artificial moral agent (AMA).,The decision results derived by the AMA are (...)
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  2.  62
    A Fuzzy-Cognitive-Maps Approach to Decision-Making in Medical Ethics.Alice Hein, Lukas J. Meier, Alena Buyx & Klaus Diepold - 2022 - 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
    Although machine intelligence is increasingly employed in healthcare, the realm of decision-making in medical ethics remains largely unexplored from a technical perspective. We propose an approach based on fuzzy cognitive maps (FCMs), which builds on Beauchamp and Childress’ prima-facie principles. The FCM’s weights are optimized using a genetic algorithm to provide recommendations regarding the initiation, continuation, or withdrawal of medical treatment. The resulting model approximates the answers provided by our team of medical ethicists (...)
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  3. Algorithms for Ethical Decision-Making in the Clinic: A Proof of Concept.Lukas J. Meier, Alice Hein, Klaus Diepold & Alena Buyx - 2022 - American Journal of Bioethics 22 (7):4-20.
    Machine intelligence already helps medical staff with a number of tasks. Ethical decision-making, however, has not been handed over to computers. In this proof-of-concept study, we show how an algorithm based on Beauchamp and Childress’ prima-facie principles could be employed to advise on a range of moral dilemma situations that occur in medical institutions. We explain why we chose fuzzy cognitive maps to set up the advisory system and how we utilized machine (...)
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  4.  63
    A Companion to Cognitive Science.George Graham & William Bechtel (eds.) - 1998 - Blackwell.
    Part I: The Life of Cognitive Science:. William Bechtel, Adele Abrahamsen, and George Graham. Part II: Areas of Study in Cognitive Science:. 1. Analogy: Dedre Gentner. 2. Animal Cognition: Herbert L. Roitblat. 3. Attention: A.H.C. Van Der Heijden. 4. Brain Mapping: Jennifer Mundale. 5. Cognitive Anthropology: Charles W. Nuckolls. 6. Cognitive and Linguistic Development: Adele Abrahamsen. 7. Conceptual Change: Nancy J. Nersessian. 8. Conceptual Organization: Douglas Medin and Sandra R. Waxman. 9. Consciousness: Owen Flanagan. 10. (...) Making: J. Frank Yates and Paul A. Estin. 11. Emotions: Paul E. Griffiths. 12. Imagery and Spatial Representation: Rita E. Anderson. 13. Language Evolution and Neuromechanisms: Terrence W. Deacon. 14. Language Processing: Kathryn Bock and Susan M. Garnsey. 15. Linguistics Theory: D. Terence Langendoen. 16. Machine Learning: Paul Thagard. 17. Memory: Henry L. Roediger III and Lyn M. Goff. 18. Perception: Cees Van Leeuwen. 19. Perception: Color: Austen Clark. 20. Problem Solving: Kevin Dunbar. 21. Reasoning: Lance J. Rips. 22. Social Cognition: Alan J. Lambert and Alison L. Chasteen. 23. Unconscious Intelligence: Rhianon Allen and Arthur S. Reber. 24. Understanding Texts: Art Graesser and Pam Tipping. 25. Word Meaning: Barbara C. Malt. Part III: Methodologies of Cognitive Science:. 26. Artificial Intelligence: Ron Sun. 27. Behavioral Experimentation: Alexander Pollatsek and Keith Rayner. 28. Cognitive Ethology: Marc Bekoff. 29. Deficits and Pathologies: Christopher D. Frith. 30. Ethnomethodology: Barry Saferstein. 31. Functional Analysis: Brian Macwhinney. 32. Neuroimaging: Randy L. Buckner and Steven E. Petersen. 33. Protocal Analysis: K. Anders Ericsson. 34. Single Neuron Electrophysiology: B. E. Stein, M.T. Wallace, and T.R. Stanford. 35. Structural Analysis: Robert Frank. Part IV: Stances in Cognitive Science:. 36. Case-based Reasoning: David B. Leake. 37. Cognitive Linguistics: Michael Tomasello. 38. Connectionism, Artificial Life, and Dynamical Systems: Jeffrey L. Elman. 39. Embodied, Situated, and Distributed Cognition: Andy Clark. 40. Mediated Action: James V. Wertsch. 41. Neurobiological Modeling: P. Read Montague and Peter Dayan. 42. Production Systems: Christian D. Schunn and David Klahr. Part V: Controversies in Cognitive Science:. 43. The Binding Problem: Valerie Gray Hardcastle. 44. Heuristics and Satisficing: Robert C. Richardson. 45. Innate Knowledge: Barbara Landau. 46. Innateness and Emergentism: Elizabeth Bates, Jeffrey L. Elman, Mark H. Johnson, Annette Karmiloff-Smith, Domenico Parisi, and Kim Plunkett. 47. Intentionality: Gilbert Harman. 48. Levels of Explanation and Cognition Architectures: Robert N. McCauley. 49. Modularity: Irene Appelbaum. 50. Representation and Computation: Robert S. Stufflebeam. 51. Representations: Dorrit Billman. 52. Rules: Terence Horgan and John Tienson. 53. Stage Theories Refuted: Donald G. Mackay. Part VI: Cognitive Science in the Real World:. 54. Education: John T. Bruer. 55. Ethics: Mark L. Johnson. 56. Everyday Life Environments: Alex Kirlik. 57. Institutions and Economics: Douglass C. North. 58. Legal Reasoning: Edwina L. Rissland. 59. Mental Retardation: Norman W. Bray, Kevin D. Reilly, Lisa F. Huffman, Lisa A. Grupe, Mark F. Villa, Kathryn L. Fletcher, and Vivek Anumolu. 60. Science: William F. Brewer and Punyashloke Mishra. Selective Biographies of Major Contributors to Cognitive Science: William Bechtel and Tadeusz Zawidzki. (shrink)
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  5.  37
    The Epistemological Consequences of Artificial Intelligence, Precision Medicine, and Implantable Brain-Computer Interfaces.Ian Stevens - 2024 - Voices in Bioethics 10.
    ABSTRACT I argue that this examination and appreciation for the shift to abductive reasoning should be extended to the intersection of neuroscience and novel brain-computer interfaces too. This paper highlights the implications of applying abductive reasoning to personalized implantable neurotechnologies. Then, it explores whether abductive reasoning is sufficient to justify insurance coverage for devices absent widespread clinical trials, which are better applied to one-size-fits-all treatments. INTRODUCTION In contrast to the classic model of randomized-control trials, often with a large number of (...)
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  6.  83
    Why a Right to an Explanation of Algorithmic Decision-Making Should Exist: A Trust-Based Approach.Tae Wan Kim & Bryan R. Routledge - 2022 - Business Ethics Quarterly 32 (1):75-102.
    Businesses increasingly rely on algorithms that are data-trained sets of decision rules (i.e., the output of the processes often called “machine learning”) and implement decisions with little or no human intermediation. In this article, we provide a philosophical foundation for the claim that algorithmic decision-making gives rise to a “right to explanation.” It is often said that, in the digital era, informed consent is dead. This negative view originates from a rigid understanding that presumes informed consent (...)
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  7. Darmok and Jalad on the Internet: the importance of metaphors in natural languages and natural language processing.Kristina Šekrst - 2023 - In Amy H. Sturgis & Emily Strand (eds.), Star Trek: Essays Exploring the Final Frontier. Vernon Press. pp. 89-117.
    In a Star Trek: The Next Generation episode, Cpt. Picard is captured and trapped on a planet with an alien captain who speaks a language incompatible with the universal translator, based on their societal historical metaphors. According to Shapiro (2004), the concept of a universal translator removes everything alien from alien languages, and since the Tamarian language refers only to their historical and cultural archetypes, Picard can only establish dialogue by invoking human analogues, such as Gilgamesh. The (...)
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  8.  23
    Analyzing Machine‐Learned Representations: A Natural Language Case Study.Ishita Dasgupta, Demi Guo, Samuel J. Gershman & Noah D. Goodman - 2020 - Cognitive Science 44 (12):e12925.
    As modern deep networks become more complex, and get closer to human‐like capabilities in certain domains, the question arises as to how the representations and decision rules they learn compare to the ones in humans. In this work, we study representations of sentences in one such artificial system for natural language processing. We first present a diagnostic test dataset to examine the degree of abstract composable structure represented. Analyzing performance on these diagnostic tests indicates a lack of (...)
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  9. Philosophical Hermeneutics Ⅰ: Early Heidegger, with a Preliminary Glance Back at Schleiermacher and Dilthey.Richard Palmer & Carine Lee - 2008 - Philosophy and Culture 35 (2):45-68.
    1施莱尔玛赫 contribution to the development施莱尔玛赫for hermeneutics in the development of Historically hermeneutics In order to make a decisive turn when he made ​​the future "general hermeneutics" , hermeneutics will be applied to all text interpretation. When the traditional hermeneutics contains In order to understand, description and application,施莱尔玛赫the attention is hermeneutics as "the art of understanding." 施莱尔玛赫also introduced the interpretation of psychology, can penetrate the text by means of its author's individuality and flexibility soul. He wanted to become a systematic hermeneutics, (...)
     
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  10.  23
    On markets and morals—(re-)establishing independent decision making in healthcare.Stephan Sahm - forthcoming - Medicine, Health Care and Philosophy:1-5.
    Medical practitioners owe much of the significant progress made in the diagnosis and treatment of disease to industrial research. Hence, co-operation between providers of medical services, most notably medical practitioners, and the pharmaceutical industry is in the best interest of patients. Yet, empirical evidence shows how well-directed influence exerted by the pharmaceutical industry impacts physicians’ decision-making. Profit-motivated inducement by the pharmaceutical industry may expose patients to considerable risks. Against what many think to be based on overwhelming evidence, (...)
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  11. Ethics-based auditing of automated decision-making systems: nature, scope, and limitations.Jakob Mökander, Jessica Morley, Mariarosaria Taddeo & Luciano Floridi - 2021 - Science and Engineering Ethics 27 (4):1–30.
    Important decisions that impact humans lives, livelihoods, and the natural environment are increasingly being automated. Delegating tasks to so-called automated decision-making systems can improve efficiency and enable new solutions. However, these benefits are coupled with ethical challenges. For example, ADMS may produce discriminatory outcomes, violate individual privacy, and undermine human self-determination. New governance mechanisms are thus needed that help organisations design and deploy ADMS in ways that are ethical, while enabling society to reap the full economic and social (...)
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  12.  59
    Tradizioni morali. Greci, ebrei, cristiani, islamici.Sergio Cremaschi - 2015 - Roma, Italy: Edizioni di storia e letteratura.
    Ex interiore ipso exeas. Preface. This book reconstructs the history of a still open dialectics between several ethoi, that is, shared codes of unwritten rules, moral traditions, or self-aware attempts at reforming such codes, and ethical theories discussing the nature and justification of such codes and doctrines. Its main claim is that this history neither amounts to a triumphal march of reason dispelling the mist of myth and bigotry nor to some other one-way process heading to some pre-established goal, but (...)
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  13.  52
    Machine learning in healthcare and the methodological priority of epistemology over ethics.Thomas Grote - forthcoming - Inquiry: An Interdisciplinary Journal of Philosophy.
    This paper develops an account of how the implementation of ML models into healthcare settings requires revising the methodological apparatus of philosophical bioethics. On this account, ML models are cognitive interventions that provide decision-support to physicians and patients. Due to reliability issues, opaque reasoning processes, and information asymmetries, ML models pose inferential problems for them. These inferential problems lay the grounds for many ethical problems that currently claim centre-stage in the bioethical debate. Accordingly, this paper argues that the (...)
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  14.  25
    Emotions and affects: the missing piece of the jigsaw puzzle of understanding risk attitudes in medical decision-making.Supriya Subramani - 2023 - Journal of Medical Ethics 49 (11):746-747.
    Nicholas Makins argues persuasively that medical decisions should be made with consideration for patients’ higher order risk attitudes.1 I will argue that an understanding of risk attitudes in medical decision-making is incomplete without critical engagement with emotions and affects (feelings associated with something good or bad). The primary aim of this commentary is to emphasise that clinical decisions are often emotionally charged, and it is crucial to engage closely with emotions and affects that shape these decisions, particularly when (...)
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  15.  14
    Ethical decision-making in management: perspectives of the philosopher, the sociologist and the manager.Matej Drašček - 2023 - New York, NY: Routledge, Taylor & Francis Group. Edited by Dana Mesner-Andolšek & Adriana Rejc.
    Moral pragmatism has been largely ignored in Business Ethics, despite its natural attraction and the fact that it is prominent in philosophy and socio-economic theories. The main premise of the book is that the complexity of today's business world does not permit a grand ethical theory, notwithstanding the different attempts made by scientists. Moral pragmatism is the 'go-to' approach where the ethical decision-making of managers varies dependent on different circumstances but it always integrates moral considerations. Ethical decision- (...) is no longer based simply on known rules, but entails the constant dynamic interaction of circumstances, the development of new rules, managers' past experiences, their knowledge concerning ethics, and skills of moral reasoning. This book interweaves the postmodern approach to management studies and, based on its innovative research, reintroduces moral pragmatism in Business Ethics. The combination of decision-making theories, philosophy and postmodernism paves the way for future novel research in Business Ethics, making it an excellent resource for researchers, academics, and advanced students in the field of Business Ethics. Practitioners, on the other hand, will benefit by improving their skills in ethical decision-making and leadership. (shrink)
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  16.  3
    Cognitive Models for Machine Theory of Mind.Christian Lebiere, Peter Pirolli, Matthew Johnson, Michael Martin & Donald Morrison - forthcoming - Topics in Cognitive Science.
    Some of the required characteristics for a true machine theory of mind (MToM) include the ability to (1) reproduce the full diversity of human thought and behavior, (2) develop a personalized model of an individual with very limited data, and (3) provide an explanation for behavioral predictions grounded in the cognitive processes of the individual. We propose that a certain class of cognitive models provide an approach that is well suited to meeting those requirements. Being grounded in (...)
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  17.  19
    A comparison of distributed machine learning methods for the support of “many labs” collaborations in computational modeling of decision making.Lili Zhang, Himanshu Vashisht, Andrey Totev, Nam Trinh & Tomas Ward - 2022 - Frontiers in Psychology 13.
    Deep learning models are powerful tools for representing the complex learning processes and decision-making strategies used by humans. Such neural network models make fewer assumptions about the underlying mechanisms thus providing experimental flexibility in terms of applicability. However, this comes at the cost of involving a larger number of parameters requiring significantly more data for effective learning. This presents practical challenges given that most cognitive experiments involve relatively small numbers of subjects. Laboratory collaborations are a natural way (...)
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  18. The purpose of qualia: What if human thinking is not (only) information processing?Martin Korth - manuscript
    Despite recent breakthroughs in the field of artificial intelligence (AI) – or more specifically machine learning (ML) algorithms for object recognition and natural language processing – it seems to be the majority view that current AI approaches are still no real match for natural intelligence (NI). More importantly, philosophers have collected a long catalogue of features which imply that NI works differently from current AI not only in a gradual sense, but in a more substantial way: NI (...)
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  19. L'etica del Novecento. Dopo Nietzsche.Sergio Cremaschi - 2005 - Roma RM, Italia: Carocci.
    TWENTIETH-CENTURY ETHICS. AFTER NIETZSCHE -/- Preface This book tells the story of twentieth-century ethics or, in more detail, it reconstructs the history of a discussion on the foundations of ethics which had a start with Nietzsche and Sidgwick, the leading proponents of late-nineteenth-century moral scepticism. During the first half of the century, the prevailing trends tended to exclude the possibility of normative ethics. On the Continent, the trend was to transform ethics into a philosophy of existence whose self-appointed task was (...)
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  20.  12
    Decision Making Strategy and the Simultaneous Processing of Syntactic Dependencies in Language and Music.M. P. Roncaglia-Denissen, Fleur L. Bouwer & Henkjan Honing - 2018 - Frontiers in Psychology 9:172262.
    Despite differences in their function and domain-specific elements, syntactic processing in music and language is believed to share cognitive resources. This study aims to investigate whether the simultaneous processing of language and music share the use of a common syntactic processor or more general attentional resources. To investigate this matter we tested musicians and non-musicians using visually presented sentences and aurally presented melodies containing syntactic local and long-distance dependencies. Accuracy rates and reaction times of participants’ (...)
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  21.  32
    A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine.Jose M. Gonzalez-Cava, José Antonio Reboso, José Luis Casteleiro-Roca, José Luis Calvo-Rolle & Juan Albino Méndez Pérez - 2018 - Complexity 2018:1-15.
    One of the main challenges in medicine is to guarantee an appropriate drug supply according to the real needs of patients. Closed-loop strategies have been widely used to develop automatic solutions based on feedback variables. However, when the variable of interest cannot be directly measured or there is a lack of knowledge behind the process, it turns into a difficult issue to solve. In this research, a novel algorithm to approach this problem is presented. The main objective of this (...)
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  22.  7
    Applying ethical theories to the decision-making of self-driving vehicles: A systematic review and integration of the literature.F. Poszler, Maximilian Geisslinger, Johannes Betz & Christoph Lütge - forthcoming - Technology in Society.
    Self-driving vehicles will need to make decisions that carry ethical dimensions and manufacturers have (the responsibility) to pre-determine this underlying, deliberate decision-making process. With the rise of self-driving vehicles, scholars have simultaneously started investigating what ethical theories should guide machine behavior, but have not concluded as to which theory should be preferred and adopted. We aim to address this matter by providing a holistic and analytical review of the autonomous driving ethics literature. Based on this review, (...)
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  23.  96
    An Overview on Ethics and Ethical Decision-Making Process in Veterinary Practice.Binoy S. Vettical - 2018 - Journal of Agricultural and Environmental Ethics 31 (6):739-749.
    Veterinary ethics is a coordination of ethical principles that apply morals, values and judgements to the practice of veterinary profession. Veterinary ethics cover its practical application in veterinary practices as well as on its history, philosophy, theology, and sociology. Veterinary ethics combine veterinary professional ethics and the focus of animal ethics. It can be inferred as a critical manifestation on the provision of veterinary services in hold of the profession’s responsibilities to animal kind and mankind. Many ethical issues arise in (...)
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  24.  13
    Deployment of AI Tools and Technologies on Academic Integrity and Research.Shantanu Ganguly & Nivedita Pandey - 2024 - Bangladesh Journal of Bioethics 15 (2):28-32.
    Academic integrity is a set of ethical ideals and values that guide the behavior of individuals in academic and educational settings. It encompasses honesty, trustworthiness, fairness, and a commitment to upholding the highest standards of ethical conduct in the quest for knowledge, learning, and research. Academic integrity is essential in maintaining the trustworthiness, reputation, and effectiveness of educational institutions and scholarly communities. Whereas, AI, or Artificial Intelligence, is a broad field of computer science that focuses on creating frameworks, software, or (...)
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  25.  35
    Ethical decision-making in hospice care.Andreas Walker & Christof Breitsameter - 2015 - Nursing Ethics 22 (3):321-330.
    Background: Hospices are based on a holistic approach which places the physical, psychological, social and spiritual welfare of their patients at the forefront of their work. Furthermore, they draw up their own mission statements which they are at pains to follow and seek to conduct their work in accordance with codes of ethics and standards of care. Research question and design: Our study researched what form the processes and degrees of latitude in decision-making take in practice when (...)
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  26. Method of informational risk range evaluation in decision making.Zinchenko A. O., Korolyuk N. O., Korshets E. A. & Nevhad S. S. - 2020 - Artificial Intelligence Scientific Journal 25 (3):38-44.
    Looks into evaluation of information provision probability from different sources, based on use of linguistic variables. Formation of functions appurtenant for its unclear variables provides for adoption of decisions by the decision maker, in conditions of nonprobabilistic equivocation. The development of market relations in Ukraine increases the independence and responsibility of enterprises in justifying and making management decisions that ensure their effective, competitive activities. As a result of the analysis, it is determined that the condition of economic (...)
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  27.  92
    Breve storia dell'etica.Sergio Cremaschi - 2012 - Roma RM, Italia: Carocci.
    The book reconstructs the history of Western ethics. The approach chosen focuses the endless dialectic of moral codes, or different kinds of ethos, moral doctrines that are preached in order to bring about a reform of existing ethos, and ethical theories that have taken shape in the context of controversies about the ethos and moral doctrines as means of justifying or reforming moral doctrines. Such dialectic is what is meant here by the phrase ‘moral traditions’, taken as a name for (...)
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  28.  50
    When Are We More Ethical? A Review and Categorization of the Factors Influencing Dual-Process Ethical Decision-Making.Clark H. Warner, Marion Fortin & Tessa Melkonian - 2024 - Journal of Business Ethics 189 (4):843-882.
    The study of ethical decision-making has made significant advances, particularly with regard to the ways in which different types of processing are implicated. In recent decades, much of this advancement has been driven by the influence of dual-process theories of cognition. Unfortunately, the wealth of findings in this context can be confusing for management scholars and practitioners who desire to know how best to encourage ethical behavior. While some studies suggest that deliberate reflection leads to more ethical (...)
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  29.  87
    On pitfalls (and advantages) of sophisticated Large Language Models.Anna Strasser - 2024 - In Joan Casas-Roma, Santi Caballe & Jordi Conesa (eds.), Ethics in Online AI-Based Systems: Risks and Opportunities in Current Technological Trends. Academic Press.
    Natural language processing based on large language models (LLMs) is a booming field of AI research. After neural networks have proven to outperform humans in games and practical domains based on pattern recognition, we might stand now at a road junction where artificial entities might eventually enter the realm of human communication. However, this comes with serious risks. Due to the inherent limitations regarding the reliability of neural networks, overreliance on LLMs can have disruptive consequences. (...)
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  30.  33
    “Hooked up to that damn machine”: Working with metaphors in clinical ethics cases.Susanne Michl & Anita Wohlmann - 2019 - Clinical Ethics 14 (2):80-86.
    The frequent use of metaphors in health care communication in general and clinical ethics cases in particular calls for a more mindful and competent use of figurative speech. Metaphors are powerful tools that enable different ways of thinking about complex issues in health care. However, depending on how and in which context they are used, they can also be harmful and undermine medical decision-making. Given this contingent nature of metaphors, this article discusses two approaches that suggest how medical (...)
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  31. The Trouble with Algorithmic Decisions: An Analytic Road Map to Examine Efficiency and Fairness in Automated and Opaque Decision Making.Tal Zarsky - 2016 - Science, Technology, and Human Values 41 (1):118-132.
    We are currently witnessing a sharp rise in the use of algorithmic decision-making tools. In these instances, a new wave of policy concerns is set forth. This article strives to map out these issues, separating the wheat from the chaff. It aims to provide policy makers and scholars with a comprehensive framework for approaching these thorny issues in their various capacities. To achieve this objective, this article focuses its attention on a general analytical framework, which will be applied (...)
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  32.  67
    The Role, Remit and Function of the Research Ethics Committee — 5. Collective Decision-Making and Research Ethics Committees.Sarah Jl Edwards - 2011 - Research Ethics 7 (1):19-23.
    Part 5, the concluding essay in the series describing and discussing the role, remit and function of research ethics committees, bases an enquiry into the nature of decision-making by research ethics committees on the processes followed by the committees in their deliberations leading to the final outcome.
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  33. Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond. Fourth volume: HyperUncertain Set (Collected Papers).Fujita Takaaki & Florentin Smarandache - 2025 - Gallup, NM, USA: NSIA Publishing House.
    This book represents the fourth volume in the series Collected Papers on Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond. This volume specifically delves into the concept of the HyperUncertain Set, building on the foundational advancements introduced in previous volumes. The series aims to explore the ongoing evolution of uncertain combinatorics through innovative methodologies such as graphization, hyperization, and uncertainization. These approaches integrate and extend core concepts from fuzzy, neutrosophic, soft, and rough (...)
     
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  34.  75
    The ethics of artificial intelligence, UNESCO and the African Ubuntu perspective.Dorine Eva van Norren - 2023 - Journal of Information, Communication and Ethics in Society 21 (1):112-128.
    PurposeThis paper aims to demonstrate the relevance of worldviews of the global south to debates of artificial intelligence, enhancing the human rights debate on artificial intelligence (AI) and critically reviewing the paper of UNESCO Commission on the Ethics of Scientific Knowledge and Technology (COMEST) that preceded the drafting of the UNESCO guidelines on AI. Different value systems may lead to different choices in programming and application of AI. Programming languages may acerbate existing biases as a people’s worldview is captured in (...)
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  35.  22
    The golden rule of ethics: a dynamic game-theoretic framework based on berge equilibrium.Vladislav Iosifovich Zhukovskiĭ - 2021 - Boca Raton: CRC Press. Edited by M. E. Salukvadze.
    This book synthesizes the game-theoretic modeling of decision-making processes and an ancient moral requirement, called the Golden Rule of ethics (GR). This rule states, "Behave to others as you would like them to behave to you." The GR is one of the oldest, most widespread and specific moral requirements that appear in Christianity, Islam, Judaism, Buddhism, and Confucianism. The book constructs and justifies mathematical models of dynamic socio-economic processes and phenomena that reveal the mechanism of the GR and (...)
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  36.  41
    Ethical decision-making based on field assessment: The experiences of prehospital personnel.Mohammad Torabi, Fariba Borhani, Abbas Abbaszadeh & Foroozan Atashzadeh-Shoorideh - 2019 - Nursing Ethics 26 (4):1075-1086.
    Introduction: Due to the stressful nature of prehospital emergency providers’ duties, as well as difficulties such as distance to information resources and insufficient time to analyze situations, ethical decision-making in prehospital services is a daily challenge. Objectives: This study aimed to describe the experiences of Iranian prehospital emergency personnel in the field of ethical decision-making. Methods: The data were collected by semi-structured interviews (n = 15) in Iran and analyzed using the content analysis approach. Ethical considerations: (...)
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  37.  62
    Transparency in AI.Tolgahan Toy - 2024 - AI and Society 39 (6):2841-2851.
    In contemporary artificial intelligence, the challenge is making intricate connectionist systems—comprising millions of parameters—more comprehensible, defensible, and rationally grounded. Two prevailing methodologies address this complexity. The inaugural approach amalgamates symbolic methodologies with connectionist paradigms, culminating in a hybrid system. This strategy systematizes extensive parameters within a limited framework of formal, symbolic rules. Conversely, the latter strategy remains staunchly connectionist, eschewing hybridity. Instead of internal transparency, it fabricates an external, transparent proxy system. This ancillary system’s mandate is elucidating the principal (...)
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  38. Deep Learning Opacity, and the Ethical Accountability of AI Systems. A New Perspective.Gianfranco Basti & Giuseppe Vitiello - 2023 - In Raffaela Giovagnoli & Robert Lowe (eds.), The Logic of Social Practices II. Springer Nature Switzerland. pp. 21-73.
    In this paper we analyse the conditions for attributing to AI autonomous systems the ontological status of “artificial moral agents”, in the context of the “distributed responsibility” between humans and machines in Machine Ethics (ME). In order to address the fundamental issue in ME of the unavoidable “opacity” of their decisions with ethical/legal relevance, we start from the neuroethical evidence in cognitive science. In humans, the “transparency” and then the “ethical accountability” of their actions as responsible moral agents (...)
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  39. Issues in robot ethics seen through the lens of a moral Turing test.Anne Gerdes & Peter Øhrstrøm - 2015 - Journal of Information, Communication and Ethics in Society 13 (2):98-109.
    Purpose – The purpose of this paper is to explore artificial moral agency by reflecting upon the possibility of a Moral Turing Test and whether its lack of focus on interiority, i.e. its behaviouristic foundation, counts as an obstacle to establishing such a test to judge the performance of an Artificial Moral Agent. Subsequently, to investigate whether an MTT could serve as a useful framework for the understanding, designing and engineering of AMAs, we set out to address fundamental challenges within (...)
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  40.  30
    Libertarianism, decision-making, and a point of no return.Alfred R. Mele - forthcoming - Philosophical Studies:1-14.
    This paper develops a challenge to standard libertarian views that is based on an imagined neuroscientificdiscovery that is incompatible with satisfaction of a standard libertarian requirement for mainstream free decision making, and it explores potential libertarian responses to this discovery. The requirement at issue may beformulated as follows: In mainstream cases, an agent freely decided at _t_ to _A_ only if, given the past and the laws of nature, the agent was able right up to _t_ to (...)
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  41.  43
    Out of the clash of hermeneutic rules comes ethical decision making: But does it?Johannes Iemke Bakker - 2006 - Journal of Academic Ethics 4 (1):11-38.
    IRBs and REBs use specialized language. A process of definition and re-definition of the situation occurs. That process of interpretation can usefully be considered from the perspective of interpretive social science models involving Symbolic Interaction, Semiotics and Hermeneutics. Seven examples are provided to flesh out the nuances of contextual decision making and the “casuistic” aspects of a balanced approach to complex problems. While many decisions are relatively unproblematic and can follow a template, it is not possible simply (...)
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  42.  18
    Examining study participants’ decision-making and ethics-related experiences in a dietary community randomized controlled trial in Malawi.Joseph Mfutso-Bengo, Gabriella Chiutsi-Phiri, Edward Joy, Eric Umar, Kate Millar & Limbanazo Matandika - 2021 - BMC Medical Ethics 22 (1):1-14.
    BackgroundThe participant recruitment process is a key ethical pivot point when conducting robust research. There is a need to continuously review and improve recruitment processes in research trials and to build fair and effective partnerships between researchers and participants as an important core element in ensuring the ethical delivery of high-quality research. When participants make a fair, informed, and voluntary decision to enroll in a study, they agree to fulfill their roles. However, supporting study participants to fulfill study requirements (...)
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  43.  29
    Interpretation in Legal Theory.Andrei Marmor (ed.) - 1990 - Hart Publishing.
    Chapter 1: An Introduction: The ‘Semantic Sting’ Argument Describes Dworkin’s theory as concerning the conditions of legal validity. “A legal system is a system of norms. Validity is a logical property of norms in a way akin to that in which truth is a logical property of propositions. A statement about the law is true if and only if the norm it purports to describe is a valid legal norm…It follows that there must be certain conditions which render certain norms, (...)
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  44. Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond. Fifth volume: Various SuperHyperConcepts (Collected Papers).Fujita Takaaki & Florentin Smarandache - 2025 - Gallup, NM, USA: NSIA Publishing House.
    This book is the fifth volume in the series of Collected Papers on Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond. This volume specifically delves into the concept of Various SuperHyperConcepts, building on the foundational advancements introduced in previous volumes. The series aims to explore the ongoing evolution of uncertain combinatorics through innovative methodologies such as graphization, hyperization, and uncertainization. These approaches integrate and extend core concepts from fuzzy, neutrosophic, soft, and rough (...)
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  45.  62
    AI’s fairness problem: understanding wrongful discrimination in the context of automated decision-making.Hugo Cossette-Lefebvre & Jocelyn Maclure - 2023 - AI and Ethics 3:1255–1269.
    The use of predictive machine learning algorithms is increasingly common to guide or even take decisions in both public and private settings. Their use is touted by some as a potentially useful method to avoid discriminatory decisions since they are, allegedly, neutral, objective, and can be evaluated in ways no human decisions can. By (fully or partly) outsourcing a decision process to an algorithm, it should allow human organizations to clearly define the parameters of the decision and (...)
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  46.  28
    The Opportunities and Challenges for Shared Decision-Making in the Rural United States.William A. Nelson, Paul J. Barr & Mary G. Castaldo - 2015 - HEC Forum 27 (2):157-170.
    The ethical standard for informed consent is fostered within a shared decision-making process. SDM has become a recognized and needed approach in health care decision-making. Based on an ethical foundation, the approach fosters the active engagement of patients, where the clinician presents evidence-based treatment information and options and openly elicits the patient’s values and preferences. The SDM process is affected by the context in which the information exchange occurs. Rural settings are one context that (...)
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  47. The Role of Conscious Attention in Perception: Immanuel Kant, Alonzo Church, and Neuroscience.Hermann G. W. Burchard - 2011 - Foundations of Science 16 (1):67-99.
    Impressions, energy radiated by phenomena in the momentary environmental scene, enter sensory neurons, creating in afferent nerves a data stream. Following Kant, by our inner sense the mind perceives its own thoughts as it ties together sense data into an internalized scene. The mind, residing in the brain, logically a Language Machine, processes and stores items as coded grammatical entities. Kantian synthetic unity in the linguistic brain is able to deliver our experience of the scene as we appear (...)
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  48.  34
    On markets and morals—(re-)establishing independent decision making in healthcare: a reply to Joao Calinas-Correia. [REVIEW]Stephan Sahm - 2013 - Medicine, Health Care and Philosophy 16 (2):311-315.
    Medical practitioners owe much of the significant progress made in the diagnosis and treatment of disease to industrial research. Hence, co-operation between providers of medical services, most notably medical practitioners, and the pharmaceutical industry is in the best interest of patients. Yet, empirical evidence shows how well-directed influence exerted by the pharmaceutical industry impacts physicians’ decision-making. Profit-motivated inducement by the pharmaceutical industry may expose patients to considerable risks. Against what many think to be based on overwhelming evidence, (...)
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    Modelling reasoning processes in natural agents: a partial-worlds-based logical framework for elemental non-monotonic inferences and learning.Christel Grimaud - 2016 - Journal of Applied Non-Classical Logics 26 (4):251-285.
    In this paper we address the modelling of reasoning processes in natural agents. We focus on a very basic kind of non-monotonic inference for which we identify a simple and plausible underlying process, and we develop a family of logical models that allow to match this process. Partial worlds models, as we call them, are a variant of Kraus, Lehmann and Magidor’s cumulative models. We show that the inference relations they induce form a strict subclass of cumulative relations and tackle (...)
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  50. Mechanizmy predykcyjne i ich normatywność [Predictive mechanisms and their normativity].Michał Piekarski - 2020 - Warszawa, Polska: Liberi Libri.
    The aim of this study is to justify the belief that there are biological normative mechanisms that fulfill non-trivial causal roles in the explanations (as formulated by researchers) of actions and behaviors present in specific systems. One example of such mechanisms is the predictive mechanisms described and explained by predictive processing (hereinafter PP), which (1) guide actions and (2) shape causal transitions between states that have specific content and fulfillment conditions (e.g. mental states). Therefore, I am guided by a (...)
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