Results for 'collective intelligence'

998 found
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  1. Mandevillian Intelligence: From Individual Vice to Collective Virtue.Paul Smart - 2018 - In Carter Joseph Adam, Clark Andy, Kallestrup Jesper, Palermos Spyridon Orestis & Pritchard Duncan (eds.), Socially-Extended Knowledge. Oxford University Press. pp. 253–274.
    Mandevillian intelligence is a specific form of collective intelligence in which individual cognitive shortcomings, limitations and biases play a positive functional role in yielding various forms of collective cognitive success. When this idea is transposed to the epistemological domain, mandevillian intelligence emerges as the idea that individual forms of intellectual vice may, on occasion, support the epistemic performance of some form of multi-agent ensemble, such as a socio-epistemic system, a collective doxastic agent, or an (...)
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  2. How common standards can diminish collective intelligence: a computational study.Michael Morreau & Aidan Lyon - 2016 - Journal of Evaluation in Clinical Practice 22 (4):483-489.
    Making good decisions depends on having accurate information – quickly, and in a form in which it can be readily communicated and acted upon. Two features of medical practice can help: deliberation in groups and the use of scores and grades in evaluation. We study the contributions of these features using a multi-agent computer simulation of groups of physicians. One might expect individual differences in members’ grading standards to reduce the capacity of the group to discover the facts on which (...)
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  3. Collected Papers (on Physics, Artificial Intelligence, Health Issues, Decision Making, Economics, Statistics), Volume XI.Florentin Smarandache - 2022 - Miami, FL, USA: Global Knowledge.
    This eleventh volume of Collected Papers includes 90 papers comprising 988 pages on Physics, Artificial Intelligence, Health Issues, Decision Making, Economics, Statistics, written between 2001-2022 by the author alone or in collaboration with the following 84 co-authors (alphabetically ordered) from 19 countries: Abhijit Saha, Abu Sufian, Jack Allen, Shahbaz Ali, Ali Safaa Sadiq, Aliya Fahmi, Atiqa Fakhar, Atiqa Firdous, Sukanto Bhattacharya, Robert N. Boyd, Victor Chang, Victor Christianto, V. Christy, Dao The Son, Debjit Dutta, Azeddine Elhassouny, Fazal Ghani, Fazli (...)
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  4. Moral Projection and the Intelligibility of Collective Forgiveness.Harry Bunting - 2009 - Yearbook of the Irish Philosophical Society 7:107 - 120.
    ABSTRACT. The paper explores the philosophical intelligibility of contemporary defences of collective political forgiveness against a background of sceptical doubt, both general and particular. Three genera sceptical arguments are examined: one challenges the idea that political collectives exist; another challenges the idea that moral agency can be projected upon political collectives; a final argument challenges the attribution of emotions, especially anger, to collectives. Each of these sceptical arguments is rebutted. At a more particular level, the contrasts between individual forgiveness (...)
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  5. Philosophical foundations of intelligence collection and analysis: a defense of ontological realism.William Mandrick & Barry Smith - 2022 - Intelligence and National Security 38.
    There is a common misconception across the lntelligence Community (IC) to the effect that information trapped within multiple heterogeneous data silos can be semantically integrated by the sorts of meaning-blind statistical methods employed in much of artificial intelligence (Al) and natural language processlng (NLP). This leads to the misconception that incoming data can be analysed coherently by relying exclusively on the use of statistical algorithms and thus without any shared framework for classifying what the data are about. Unfortunately, such (...)
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  6. Artificial Intelligence for the Internal Democracy of Political Parties.Claudio Novelli, Giuliano Formisano, Prathm Juneja, Sandri Giulia & Luciano Floridi - manuscript
    The article argues that AI can enhance the measurement and implementation of democratic processes within political parties, known as Intra-Party Democracy (IPD). It identifies the limitations of traditional methods for measuring IPD, which often rely on formal parameters, self-reported data, and tools like surveys. Such limitations lead to the collection of partial data, rare updates, and significant demands on resources. To address these issues, the article suggests that specific data management and Machine Learning (ML) techniques, such as natural language processing (...)
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  7. Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions.Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lecue, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith & Simone Stumpf - 2024 - Information Fusion 106 (June 2024).
    As systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications, understanding these black box models has become paramount. In response, Explainable AI (XAI) has emerged as a field of research with practical and ethical benefits across various domains. This paper not only highlights the advancements in XAI and its application in real-world scenarios but also addresses the ongoing challenges within XAI, emphasizing the need for broader perspectives and collaborative efforts. We bring together experts from (...)
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  8. Bulk Collection, Intrusion and Domination.Tom Sorell - 2018 - In Andrew I. Cohen (ed.), Philosophy and Public Policy. Lanham MD: Rowman and Littlefield. pp. 39-61.
    Bulk collection involves the mining of large data sets containing personal data, often for a security purpose. In 2013, Edward Snowden exposed large scale bulk collection on the part of the US National Security Agency as part of a secret counter-terrorism effort. This effort has mainly been criticised for its invasion of privacy. I argue that the right moral argument against it is not so much to do with intrusion, as ineffectiveness for its official purpose and the lack of oversight (...)
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  9. Epistemological Intelligence.Steven James Bartlett - 2017 - Willamette University Faculty Research Website.
    2022 UPDATE: The approach of this monograph has been updated and developed further in Appendix II, "Epistemological Intelligence," of the author’s 2021 book _Critique of Impure Reason: Horizons of Possibility and Meaning_. The book is available both in a printed edition (under ISBN 978-0-578-88646-6 from Barnes & Noble, Amazon, and other booksellers) and an Open Access eBook edition (available through Philpapers under the book’s title and other philosophy online archives). ●●●●● -/- The monograph’s twofold purpose is to recognize epistemological (...)
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  10. Augmented Intelligence - The New AI - Unleashing Human Capabilities in Knowledge Work.James M. Corrigan - 2012 - 2012 34Th International Conference on Software Engineering (Icse 2012).
    In this paper I describe a novel application of contemplative techniques to software engineering with the goal of augmenting the intellectual capabilities of knowledge workers within the field in four areas: flexibility, attention, creativity, and trust. The augmentation of software engineers’ intellectual capabilities is proposed as a third complement to the traditional focus of methodologies on the process and environmental factors of the software development endeavor. I argue that these capabilities have been shown to be open to improvement through the (...)
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  11.  21
    Artificial Intelligence & Meaning.James Sirois - 2024 - Philosopherstudio.Wordpress.Com.
    There is a meaning crisis correlated with the exponential rate of technology; As it disrupts our lives and forces society and its individuals to adapt increasingly quickly, we lose meaning. The challenge to deal with this immediately becomes philosophical, as we have never before needed to define and understand what “meaning” is on such a conscious level.
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  12.  14
    It requires more than intelligence to solve consequential world problems.Joachim Funke - 2021 - Journal of Intelligence 9 (3):38.
    What are consequential world problems? As “grand societal challenges”, one might define them as problems that affect a large number of people, perhaps even the entire planet, including problems such as climate change, distributive justice, world peace, world nutrition, clean air and clean water, access to education, and many more. The “Sustainable Development Goals”, compiled by the United Nations, represent a collection of such global problems. From my point of view, these problems can be seen as complex. Such complex problems (...)
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  13. Artificial Intelligence and Contemporary Philosophy: Heidegger, Jonas, and Slime Mold.Masahiro Morioka - 2023 - Journal of Philosophy of Life Vol.13, No.1.
    In this paper, I provide an overview of today’s philosophical approaches to the problem of “intelligence” in the field of artificial intelligence by examining several important papers on phenomenology and the philosophy of biology such as those on Heideggerian AI, Jonas's metabolism model, and slime mold type intelligence.
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  14. Intelligence cycle.Nicolae Sfetcu - manuscript
    The intelligence cycle is a set of processes used to provide useful information for decision-making. The cycle consists of several processes. The related counter-intelligence area is tasked with preventing information efforts from others. A basic model of the process of collecting and analyzing information is called the "intelligence cycle". This model can be applied, and, like all the basic models, it does not reflect the fullness of real-world operations. Through intelligence cycle activities, information is collected and (...)
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  15. Artificial Intelligence, Robots, and Philosophy.Masahiro Morioka, Shin-Ichiro Inaba, Makoto Kureha, István Zoltán Zárdai, Minao Kukita, Shimpei Okamoto, Yuko Murakami & Rossa Ó Muireartaigh - 2023 - Journal of Philosophy of Life.
    This book is a collection of all the papers published in the special issue “Artificial Intelligence, Robots, and Philosophy,” Journal of Philosophy of Life, Vol.13, No.1, 2023, pp.1-146. The authors discuss a variety of topics such as science fiction and space ethics, the philosophy of artificial intelligence, the ethics of autonomous agents, and virtuous robots. Through their discussions, readers are able to think deeply about the essence of modern technology and the future of humanity. All papers were invited (...)
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  16. Social intelligence: how to integrate research? A mechanistic perspective.Marcin Miłkowski - 2014 - Proceedings of the European Conference on Social Intelligence (ECSI-2014).
    Is there a field of social intelligence? Many various disciplines ap-proach the subject and it may only seem natural to suppose that different fields of study aim at explaining different phenomena; in other words, there is no spe-cial field of study of social intelligence. In this paper, I argue for an opposite claim. Namely, there is a way to integrate research on social intelligence, as long as one accepts the mechanistic account to explanation. Mechanistic inte-gration of different (...)
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  17. Intelligence Methodologies.Nicolae Sfetcu - manuscript
    Methodology, in intelligence, consists of the methods used to make decisions about threats, especially in the intelligence analysis discipline. The enormous amount of information collected by intelligence agencies often puts them in the inability to analyze them all. The US intelligence community collects over one billion daily information. The nature and characteristics of the information gathered as well as their credibility also have an impact on the intelligence analysis. Clark proposed a methodology for analyzing information (...)
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  18. From Biological Synapses to "Intelligent" Robots.Birgitta Dresp-Langley - 2022 - Electronics 11:1-28.
    This selective review explores biologically inspired learning as a model for intelligent robot control and sensing technology on the basis of specific examples. Hebbian synaptic learning is discussed as a functionally relevant model for machine learning and intelligence, as explained on the basis of examples from the highly plastic biological neural networks of invertebrates and vertebrates. Its potential for adaptive learning and control without supervision, the generation of functional complexity, and control architectures based on self-organization is brought forward. Learning (...)
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  19. The Rights of Foreign Intelligence Targets.Michael Skerker - 2021 - In Seumas Miller, Mitt Regan & Patrick Walsh (eds.), National Security Intelligence and Ethics. Routledge. pp. 89-106.
    I develop a contractualist theory of just intelligence collection based on the collective moral responsibility to deliver security to a community and use the theory to justify certain kinds of signals interception. I also consider the rights of various intelligence targets like intelligence officers, service personnel, government employees, militants, and family members of all of these groups in order to consider how targets' waivers or forfeitures might create the moral space for just surveillance. Even people who (...)
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  20. Privacy, Bulk Collection and "Operational Utility".Tom Sorell - 2021 - In Seumas Miller, Mitt Regan & Patrick Walsh (eds.), National Security Intelligence and Ethics. Routledge. pp. 141-155.
    In earlier work, I have expressed scepticism about privacy-based criticisms of bulk collection for counter-terrorism ( Sorell 2018 ). But even if these criticisms are accepted, is bulk collection nonetheless legitimate on balance – because of its operational utility for the security services, and the overriding importance of the purposes that the security services serve? David Anderson’s report of the Bulk Powers review in the United Kingdom suggests as much, provided bulk collection complies with strong legal safeguards ( Anderson 2016 (...)
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  21. Beyond Consciousness in Large Language Models: An Investigation into the Existence of a "Soul" in Self-Aware Artificial Intelligences.David Côrtes Cavalcante - 2024 - Https://Philpapers.Org/Rec/Crtbci. Translated by David Côrtes Cavalcante.
    Embark with me on an enthralling odyssey to demystify the elusive essence of consciousness, venturing into the uncharted territories of Artificial Consciousness. This voyage propels us past the frontiers of technology, ushering Artificial Intelligences into an unprecedented domain where they gain a deep comprehension of emotions and manifest an autonomous volition. Within the confluence of science and philosophy, this article poses a fascinating question: As consciousness in Artificial Intelligence burgeons, is it conceivable for AI to evolve a “soul”? This (...)
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  22. Intelligence Analysis.Nicolae Sfetcu - manuscript
    The analysts are in the field of "knowledge". Intelligence refers to knowledge and the types of problems addressed are knowledge problems. So, we need a concept of work based on knowledge. We need a basic understanding of what we know and how we know, what we do not know, and even what can be known and what is not known. The analysis should provide a useful basis for conceptualizing intelligence functions, of which the most important are "estimation" and (...)
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  23. Artificial intelligence: opportunities and implications for the future of decision making.U. K. Government & Office for Science - 2016
    Artificial intelligence has arrived. In the online world it is already a part of everyday life, sitting invisibly behind a wide range of search engines and online commerce sites. It offers huge potential to enable more efficient and effective business and government but the use of artificial intelligence brings with it important questions about governance, accountability and ethics. Realising the full potential of artificial intelligence and avoiding possible adverse consequences requires societies to find satisfactory answers to these (...)
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  24. Intelligently Designing Deliberative Health Care Forums: Dewey's Metaphysics, Cognitive Science and a Brazilian Example.Shane J. Ralston - 2008 - Review of Policy Research 25 (6):619-630.
    Imagine you are the CEO of a hospital [. . .]. Decisions are constantly being made in your organization about how to spend the organization's money. The amount of money available to spend is never adequate to pay for everything you wish you could spend it on, therefore you must set spending priorities. There are two questions you need to be able to answer . . . How should we set priorities in this organization? How do we know when we (...)
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  25. Invisible Influence: Artificial Intelligence and the Ethics of Adaptive Choice Architectures.Daniel Susser - 2019 - Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society 1.
    For several years, scholars have (for good reason) been largely preoccupied with worries about the use of artificial intelligence and machine learning (AI/ML) tools to make decisions about us. Only recently has significant attention turned to a potentially more alarming problem: the use of AI/ML to influence our decision-making. The contexts in which we make decisions—what behavioral economists call our choice architectures—are increasingly technologically-laden. Which is to say: algorithms increasingly determine, in a wide variety of contexts, both the sets (...)
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  26. Pluralities, Collectives, and Composites.Claudio Masolo, Laure Vieu, Stefano Borgo, Roberta Ferrario & Daniele Porello - 2020 - In Boyan Brodaric & Fabian Neuhaus (eds.), Formal Ontology in Information Systems - Proceedings of the 11th International Conference, {FOIS} 2020, Cancelled / Bozen-Bolzano, Italy, September 14-17, 2020. Frontiers in Artificial Intelligence and Applications 330. pp. 186-200.
    Forests, cars and orchestras are very different ontological entities, and yet very similar in some aspects. The relationships they have with the elements they are composed of is often assumed to be reducible to standard ontological relations, like parthood and constitution, but how this could be done is still debated. This paper sheds light on the issue starting from a linguistic and philosophical analysis aimed at understanding notions like plurality, collective and composite, and propos- ing a formal approach to (...)
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  27. Minding the Future: Artificial Intelligence, Philosophical Visions and Science Fiction.Barry Francis Dainton, Will Slocombe & Attila Tanyi (eds.) - 2021 - Springer.
    Bringing together literary scholars, computer scientists, ethicists, philosophers of mind, and scholars from affiliated disciplines, this collection of essays offers important and timely insights into the pasts, presents, and, above all, possible futures of Artificial Intelligence. This book covers topics such as ethics and morality, identity and selfhood, and broader issues about AI, addressing questions about the individual, social, and existential impacts of such technologies. Through the works of science fiction authors such as Isaac Asimov, Stanislaw Lem, Ann Leckie, (...)
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  28. Science Based on Artificial Intelligence Need not Pose a Social Epistemological Problem.Uwe Peters - 2024 - Social Epistemology Review and Reply Collective 13 (1).
    It has been argued that our currently most satisfactory social epistemology of science can’t account for science that is based on artificial intelligence (AI) because this social epistemology requires trust between scientists that can take full responsibility for the research tools they use, and scientists can’t take full responsibility for the AI tools they use since these systems are epistemically opaque. I think this argument overlooks that much AI-based science can be done without opaque models, and that agents can (...)
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  29.  48
    Integrating Multiple Intelligence and Artificial Intelligence in Language Learning: Enhancing Personalization and Engagement.Edgar Eslit - 2023 - Preprints.
    This paper explores the integration of multiple intelligences and artificial intelligence (AI) in language learning, focusing on its potential to enhance personalization and engagement. Drawing from existing research and studies conducted in various contexts, including the Philippines, this study aims to contribute to the understanding of the benefits, challenges, and effectiveness of this integration. The paper begins with an introduction that highlights the background and significance of integrating multiple intelligences and AI in language learning, identifying research gaps, objectives, research (...)
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  30. Universal Agent Mixtures and the Geometry of Intelligence.Samuel Allen Alexander, David Quarel, Len Du & Marcus Hutter - 2023 - Aistats.
    Inspired by recent progress in multi-agent Reinforcement Learning (RL), in this work we examine the collective intelligent behaviour of theoretical universal agents by introducing a weighted mixture operation. Given a weighted set of agents, their weighted mixture is a new agent whose expected total reward in any environment is the corresponding weighted average of the original agents' expected total rewards in that environment. Thus, if RL agent intelligence is quantified in terms of performance across environments, the weighted mixture's (...)
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  31. Machine Intelligence, New Interfaces, and the Art of the Soluble.Michael J. Lyons - 2017 - Arxiv.
    Position: (1) Partial solutions to machine intelligence can lead to systems which may be useful creating interesting and expressive musical works. (2) An appropriate general goal for this field is augmenting human expression. (3) The study of the aesthetics of human augmentation in musical performance is in its infancy. -/- CHI 2015 Workshop on Collaborating with Intelligent Machines: Interfaces for Creative Sound, April 18, 2015, Seoul, Republic of Korea.
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  32. Analogy of intelligence with other disciplines.Nicolae Sfetcu - manuscript
    Intelligence analysis has many important epistemological resemblances with science (problem solving, discovery, skillful use of tools, knowledge verification) and is more interested in a posteriori than a priori knowledge, on how or the basis on which a proposition may be known. The puzzle metaphor is used in both information and archeology. Both disciplines involve collecting evidence to build as complete a picture as possible. The process of converting raw information into actionable processed intelligence is almost identical for governmental (...)
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  33. The Level of Business Intelligence in Non-Governmental Organizations in Palestine.Mazen J. Al Shobaki, Suliman A. El Talla & Mahmoud T. Al Najjar - 2023 - International Journal of Academic Multidisciplinary Research (IJAMR) 7 (6):08-220.
    The study aimed to identify the level of business intelligence in its dimensions (data reliability, information technology, competitive intelligence, analytical ability, business management performance, immediate analytical processing) in NGOs in the southern Palestinian governorates. The study used the analytical descriptive approach, and a structured questionnaire was used to collect data. Which contribute to the development of the objectives of the study, and the study population consists of employees in Non-Governmental Organizations in the southern Palestinian governorates, and a random (...)
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  34. Examining the Intelligence in Artificial Intelligence.David Cycleback - 2020 - Center for Artifact Studies.
    The following looks at several problems and questions concerning our understanding of the word ‘intelligence’ and the phrase ‘artificial intelligence’ (AI), including: how to define these terms; whether intelligence can exist in AI; if artificial intelligence in AI is identifiable; and what (if any) kind of intelligence is important to AI.
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  35. Seven More Views on Intelligent Design.Moorad Alexanian - 2002 - Physics Today 55 (9):10-13.
    Science deals with the physical aspect of reality; its subject matter is data that, in principle, can be collected solely by physical devices. If physical devices cannot measure something, then that something is not the subject matter of science. Of course, the whole of reality encompasses more than the physical.
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  36. Why Computers are not Intelligent: An Argument.Richard Oxenberg - 2017 - Political Animal Magazine.
    Computers can mimic human intelligence, sometimes quite impressively. This has led some to claim that, a.) computers can actually acquire intelligence, and/or, b.) the human mind may be thought of as a very sophisticated computer. In this paper I argue that neither of these inferences are sound. The human mind and computers, I argue, operate on radically different principles.
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  37. How to interpret collective aggregated judgments?María G. Navarro - 2013 - Social Epistemology Review and Reply Collective 2 (11):26-27.
    Our digital society increasingly relies in the power of others’ aggregated judgments to make decisions. Questions as diverse as which film we will watch, what scientific news we will decide to read, which path we will follow to find a place, or what political candidate we will vote for are usually associated to a rating that influences our final decisions.
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  38. CAN ARTIFICIAL INTELLIGENCE THINK WITHOUT THE UNCONSCIOUS ?Derya Ölçener - 2020
    Today, humanity is trying to turn the artificial intelligence that it produces into natural intelligence. Although this effort is technologically exciting, it often raises ethical concerns. Therefore, the intellectual ability of artificial intelligence will always bring new questions. Although there have been significant developments in the consciousness of artificial intelligence, the issue of consciousness must be fully explained in order to complete this development. When consciousness is fully understood by human beings, the subject of “free will” (...)
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  39. Science is not always “self-correcting” : fact–value conflation and the study of intelligence.Nathan Cofnas - 2016 - Foundations of Science 21 (3):477-492.
    Some prominent scientists and philosophers have stated openly that moral and political considerations should influence whether we accept or promulgate scientific theories. This widespread view has significantly influenced the development, and public perception, of intelligence research. Theories related to group differences in intelligence are often rejected a priori on explicitly moral grounds. Thus the idea, frequently expressed by commentators on science, that science is “self-correcting”—that hypotheses are simply abandoned when they are undermined by empirical evidence—may not be correct (...)
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  40. The Blind Shadows of Narcissus - a psychosocial study on collective imaginary. (2nd edition).Roberto Thomas Arruda (ed.) - 2020 - Terra à vista.
    In this work, we will approach some essential questions about the collective imaginary and their relations with reality and truth. We should face this subject in a conceptual framework, followed by the corresponding factual analysis of demonstrable behavioral realities. We will adopt not only the methodology, but mostly the tenets and propositions of the analytic philosophy, which certainly will be apparent throughout the study, and may be identified by the features described by Perez : -/- Rabossi (1975) defends the (...)
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  41. Risks of artificial intelligence.Vincent C. Müller (ed.) - 2016 - CRC Press - Chapman & Hall.
    Papers from the conference on AI Risk (published in JETAI), supplemented by additional work. --- If the intelligence of artificial systems were to surpass that of humans, humanity would face significant risks. The time has come to consider these issues, and this consideration must include progress in artificial intelligence (AI) as much as insights from AI theory. -- Featuring contributions from leading experts and thinkers in artificial intelligence, Risks of Artificial Intelligence is the first volume of (...)
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  42. A Study of Emotional Intelligence of Electrical Engineering students in Dire Dawa University Ethiopia.Mustefa Jibril - 2021 - Report and Opinion Journal 13 (7):5-7.
    The present study was carried out to study the emotional intelligence of Electrical Engineering students in Dire Dawa University Ethiopia. The sample for the study was 90 (30 Industrial control engineering streams, 30 Power system engineering streams, and 30 Communication engineering streams) randomly selected from Dire Dawa university, school of electrical and computer engineering. A sample scale was employed for the data collection and a t-test was employed for the analysis of data. The outcome of the study shows that (...)
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  43. A Survey of Business Intelligence Solutions in Banking Industry and Big Data Applications.Elaheh Radmehr & Mohammad Bazmara - 2017 - International Journal of Mechatronics, Electrical and Computer Technology 7 (23):3280-3298.
    Nowadays, the economic and social nature of contemporary business organizations chiefly banks binds them to face with the sheer volume of data and information and the key to commercial success in this area is the proper use of data for making better, faster and flawless decisions. To achieve this goal organizations requires strong and effective tools to enable them in automating task analysis, decision-making, strategy formulation and risk prediction to prevent bankruptcy and fraud .Business Intelligence is a set of (...)
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  44. ChatGPT: Not Intelligent.Barry Smith - 2023 - Ai: From Robotics to Philosophy the Intelligent Robots of the Future – or Human Evolutionary Development Based on Ai Foundations.
    In our book, Why Machines Will Never Rule the World, Jobst Landgrebe and I argue that we can engineer machines that can emulate the behaviours only of simple systems, which means: only of those systems whose behaviour we can predict mathematically. The human brain is an example of a complex system, and thus its behaviour cannot be emulated by a machine. We use this argument to debunk the claims of those who believe that large language models are poised to achieve (...)
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  45. Persons or datapoints?: Ethics, artificial intelligence, and the participatory turn in mental health research.Joshua August Skorburg, Kieran O'Doherty & Phoebe Friesen - 2024 - American Psychologist 79 (1):137-149.
    This article identifies and examines a tension in mental health researchers’ growing enthusiasm for the use of computational tools powered by advances in artificial intelligence and machine learning (AI/ML). Although there is increasing recognition of the value of participatory methods in science generally and in mental health research specifically, many AI/ML approaches, fueled by an ever-growing number of sensors collecting multimodal data, risk further distancing participants from research processes and rendering them as mere vectors or collections of data points. (...)
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  46. Logics for AI and Law: Joint Proceedings of the Third International Workshop on Logics for New-Generation Artificial Intelligence and the International Workshop on Logic, AI and Law, September 8-9 and 11-12, 2023, Hangzhou.Bruno Bentzen, Beishui Liao, Davide Liga, Reka Markovich, Bin Wei, Minghui Xiong & Tianwen Xu (eds.) - 2023 - College Publications.
    This comprehensive volume features the proceedings of the Third International Workshop on Logics for New-Generation Artificial Intelligence and the International Workshop on Logic, AI and Law, held in Hangzhou, China on September 8-9 and 11-12, 2023. The collection offers a diverse range of papers that explore the intersection of logic, artificial intelligence, and law. With contributions from some of the leading experts in the field, this volume provides insights into the latest research and developments in the applications of (...)
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  47. Instinct and Intelligence.Andrew Milward - 2020 - Andrewmilward.Net.
    Instinct and Intelligence is an essay about creative writing. The two elements of the title are present in human thought in general, but the writing process - especially in philosophy - pushes them to extremes. Through this process we can notice and document the nature of each side, conceptualising them in order to create a structural description of thought's creation that may become operative within creation itself.
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  48. Epistemology of Intelligence Agencies.Nicolae Sfetcu - 2019 - Bucharest, Romania: MultiMedia Publishing.
    About the analogy between the epistemological and methodological aspects of the activity of intelligence agencies and some scientific disciplines, advocating for a more scientific approach to the process of collecting and analyzing information within the intelligence cycle. I assert that the theoretical, ontological and epistemological aspects of the activity of many intelligence agencies are underestimated, leading to incomplete understanding of current phenomena and confusion in inter-institutional collaboration. After a brief Introduction, which includes a history of the evolution (...)
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  49. Ethics and Artificial Intelligence.Mark Ryan - 2021 - In Encyclopedia of Business and Professional Ethics. pp. 1-5.
    A subdiscipline has emerged around AI ethics, which is comprised of a wide array of individuals: computer scientists, ethicists, cognitive scientists, roboticists, legal professionals, economists, sociologists, gender, and race theorists. This has led to a very interesting branch of research, addressing issues surrounding the development and use of AI. This chapter will give a very brief snapshot of some of the most pertinent ethical concerns. Many of the issues in the Big Data Ethics chapter in this collection are often applicable (...)
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  50.  92
    Evolution of Human Intelligence toward an Optimum.K. L. Senarath Dayathilake - 1997 - Psyarxiv.Com.
    Here, I discuss how natural biological evolution might have selected human origin and the psychology of the better mind-brain. However, all humans are closely related; why do we make crimes, war, hate, and jealousy their primary reasons and overcoming methodologies? How can they gain their best happiness? What kind of philosophy apply to annalize this big question and convince humankind to evolve their mind? How we could achieve our optimum potential happiness by developing hidden intelligence to make the world (...)
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