Results for 'artificial intelligence principles'

965 found
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  1.  82
    Ethical artificial intelligence framework for a good AI society: principles, opportunities and perils.Pradeep Paraman & Sanmugam Anamalah - 2023 - AI and Society 38 (2):595-611.
    The justification and rationality of this paper is to present some fundamental principles, theories, and concepts that we believe moulds the nucleus of a good artificial intelligence (AI) society. The morally accepted significance and utilitarian concerns that stems from the inception and realisation of an AI’s structural foundation are displayed in this study. This paper scrutinises the structural foundation, fundamentals, and cardinal righteous remonstrations, as well as the gaps in mechanisms towards novel prospects and perils in determining (...)
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  2. Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence.Christopher Starke, Birte Keller & Kimon Kieslich - 2022 - Big Data and Society 9 (1).
    Despite the immense societal importance of ethically designing artificial intelligence, little research on the public perceptions of ethical artificial intelligence principles exists. This becomes even more striking when considering that ethical artificial intelligence development has the aim to be human-centric and of benefit for the whole society. In this study, we investigate how ethical principles are weighted in comparison to each other. This is especially important, since simultaneously considering ethical principles is (...)
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  3.  67
    Actionable Principles for Artificial Intelligence Policy: Three Pathways.Charlotte Stix - 2021 - Science and Engineering Ethics 27 (1):1-17.
    In the development of governmental policy for artificial intelligence that is informed by ethics, one avenue currently pursued is that of drawing on “AI Ethics Principles”. However, these AI Ethics Principles often fail to be actioned in governmental policy. This paper proposes a novel framework for the development of ‘Actionable Principles for AI’. The approach acknowledges the relevance of AI Ethics Principles and homes in on methodological elements to increase their practical implementability in policy (...)
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  4.  13
    Reactive distributed artificial intelligence: Principles and applications.Jacques Ferber - 1996 - In N. Jennings & G. O'Hare, Foundations of Distributed Artificial Intelligence. Wiley. pp. 287--314.
  5. Ethical governance of artificial intelligence for defence: normative tradeoffs for principle to practice guidance.Alexander Blanchard, Christopher Thomas & Mariarosaria Taddeo - forthcoming - AI and Society:1-14.
    The rapid diffusion of artificial intelligence (AI) technologies in the defence domain raises challenges for the ethical governance of these systems. A recent shift from the what to the how of AI ethics sees a nascent body of literature published by defence organisations focussed on guidance to implement AI ethics principles. These efforts have neglected a crucial intermediate step between principles and guidance concerning the elicitation of ethical requirements for specifying the guidance. In this article, we (...)
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  6.  39
    Artificial Intelligence, Social Media, and Suicide Prevention: Principle of Beneficence Besides Respect for Autonomy.Hui Zhang, Yuming Wang, Zhenxiang Zhang, Fangxia Guan, Hongmei Zhang & Zhiping Guo - 2021 - American Journal of Bioethics 21 (7):43-45.
    The target article by Laacke et al. focuses on the specific context of identifying people in social media with a high risk of depression by using artificial intelligence technologies. I...
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  7. Explicability of artificial intelligence in radiology: Is a fifth bioethical principle conceptually necessary?Frank Ursin, Cristian Timmermann & Florian Steger - 2022 - Bioethics 36 (2):143-153.
    Recent years have witnessed intensive efforts to specify which requirements ethical artificial intelligence (AI) must meet. General guidelines for ethical AI consider a varying number of principles important. A frequent novel element in these guidelines, that we have bundled together under the term explicability, aims to reduce the black-box character of machine learning algorithms. The centrality of this element invites reflection on the conceptual relation between explicability and the four bioethical principles. This is important because the (...)
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  8.  59
    Surveying Judges about artificial intelligence: profession, judicial adjudication, and legal principles.Andreia Martinho - 2025 - AI and Society 40 (2):569-584.
    Artificial Intelligence (AI) is set to bring changes to legal systems. These technologies may have positive practical implications when it comes to access, efficiency, and accuracy in Justice. However, there are still many uncertainties and challenges associated with the implementation of AI in the legal space. In this research, we surveyed Judges on critical challenges related to the Judging Profession in the AI paradigm; Automated Adjudication; and Legal Principles. Our results suggest that (i) Judges are hesitant about (...)
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  9. Aligning artificial intelligence with human values: reflections from a phenomenological perspective.Shengnan Han, Eugene Kelly, Shahrokh Nikou & Eric-Oluf Svee - 2022 - AI and Society 37 (4):1383-1395.
    Artificial Intelligence (AI) must be directed at humane ends. The development of AI has produced great uncertainties of ensuring AI alignment with human values (AI value alignment) through AI operations from design to use. For the purposes of addressing this problem, we adopt the phenomenological theories of material values and technological mediation to be that beginning step. In this paper, we first discuss the AI value alignment from the relevant AI studies. Second, we briefly present what are material (...)
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  10.  57
    Ethical Principles for Artificial Intelligence in National Defence.Mariarosaria Taddeo, David McNeish, Alexander Blanchard & Elizabeth Edgar - 2021 - Philosophy and Technology 34 (4):1707-1729.
    Defence agencies across the globe identify artificial intelligence as a key technology to maintain an edge over adversaries. As a result, efforts to develop or acquire AI capabilities for defence are growing on a global scale. Unfortunately, they remain unmatched by efforts to define ethical frameworks to guide the use of AI in the defence domain. This article provides one such framework. It identifies five principles—justified and overridable uses, just and transparent systems and processes, human moral responsibility, (...)
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  11. Principled Sentencing and Artificial Intelligence.Julian Roberts & Jesper Ryberg (eds.) - 2022 - Oxford University Press.
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  12. Beneficial Artificial Intelligence Coordination by means of a Value Sensitive Design Approach.Steven Umbrello - 2019 - Big Data and Cognitive Computing 3 (1):5.
    This paper argues that the Value Sensitive Design (VSD) methodology provides a principled approach to embedding common values in to AI systems both early and throughout the design process. To do so, it draws on an important case study: the evidence and final report of the UK Select Committee on Artificial Intelligence. This empirical investigation shows that the different and often disparate stakeholder groups that are implicated in AI design and use share some common values that can be (...)
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  13. Artificial Intelligence and Robot Responsibilities: Innovating Beyond Rights.Hutan Ashrafian - 2015 - Science and Engineering Ethics 21 (2):317-326.
    The enduring innovations in artificial intelligence and robotics offer the promised capacity of computer consciousness, sentience and rationality. The development of these advanced technologies have been considered to merit rights, however these can only be ascribed in the context of commensurate responsibilities and duties. This represents the discernable next-step for evolution in this field. Addressing these needs requires attention to the philosophical perspectives of moral responsibility for artificial intelligence and robotics. A contrast to the moral status (...)
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  14.  39
    Artificial intelligence and problems of intellectualization: development strategy, structure, methodology, principles and problems.Ramazanov S. K., Shevchenko A. I. & Kuptsova E. A. - 2020 - Artificial Intelligence Scientific Journal 25 (4):14-23.
    The paper analysis the strategies and concepts developed in the world in modern directions: innova- tive economy, digital economy, artificial intelligence, Industry 4.0 and others. The problem is to determine the initial fundamental parameters of order and their prospects in the global world, the definition and principles of artificial intel- ligence systems, its structure and important aspects and principles of future science and technology in analysis and synthesis based on synergetic approaches, innovative, information, converged technologies, (...)
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  15. Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research.Milad Mirbabaie, Lennart Hofeditz, Nicholas R. J. Frick & Stefan Stieglitz - 2022 - AI and Society 37 (4):1361-1382.
    The application of artificial intelligence (AI) in hospitals yields many advantages but also confronts healthcare with ethical questions and challenges. While various disciplines have conducted specific research on the ethical considerations of AI in hospitals, the literature still requires a holistic overview. By conducting a systematic discourse approach highlighted by expert interviews with healthcare specialists, we identified the status quo of interdisciplinary research in academia on ethical considerations and dimensions of AI in hospitals. We found 15 fundamental manuscripts (...)
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  16. Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective.Erik Hermann - 2022 - Journal of Business Ethics 179 (1):43-61.
    Artificial intelligence is shaping strategy, activities, interactions, and relationships in business and specifically in marketing. The drawback of the substantial opportunities AI systems and applications provide in marketing are ethical controversies. Building on the literature on AI ethics, the authors systematically scrutinize the ethical challenges of deploying AI in marketing from a multi-stakeholder perspective. By revealing interdependencies and tensions between ethical principles, the authors shed light on the applicability of a purely principled, deontological approach to AI ethics (...)
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  17.  43
    Principles and Virtues in AI Ethics.I. N. Notre Dame, Science Before Receiving A. Phd in Moral Theology From Notre Dame He has Published Widely on Bioethics, Technology Ethics He is the Author of Science Religion, Christian Ethics, Anxiety Tomorrow’S. Troubles: Risk, Prudence in an Age of Algorithmic Governance, The Ethics of Precision Medicine & Encountering Artificial Intelligence - 2024 - Journal of Military Ethics 23 (3):251-263.
    One of the most common contemporary approaches for developing an ethics of artificial intelligence (AI) involves elaborating guiding principles. This essay explores the limitations of this approach, using the history of bioethics as a comparative case. The examples of bioethics and recent AI ethics suggest that principles are difficult to implement in everyday practice, fail to direct individual action, and can frequently result in a pure proceduralism. The essay encourages an additional attention to virtue, which forms (...)
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  18. Towards a Unified List of Ethical Principles for Emerging Technologies. An Analysis of Four European Reports on Molecular Biotechnology and Artificial Intelligence,.Elisa Orrù & Joachim Boldt - 2022 - Sustainable Futures 4:1-14.
    Artificial intelligence (AI) and molecular biotechnologies (MB) are among the most promising, but also ethically hotly debated emerging technologies. In both fields, several ethics reports, which invoke lists of ethics principles, have been put forward. These reports and the principles lists are technology specific. This article aims to contribute to the ongoing debate on ethics of emerging technologies by comparatively analysing four European ethics reports from the two technology fields. Adopting a qualitative and in-depth approach, the (...)
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  19. Moral disagreement and artificial intelligence.Pamela Robinson - 2024 - AI and Society 39 (5):2425-2438.
    Artificially intelligent systems will be used to make increasingly important decisions about us. Many of these decisions will have to be made without universal agreement about the relevant moral facts. For other kinds of disagreement, it is at least usually obvious what kind of solution is called for. What makes moral disagreement especially challenging is that there are three different ways of handling it. _Moral solutions_ apply a moral theory or related principles and largely ignore the details of the (...)
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  20.  42
    Towards Constructivist Design of Artificial Intelligence: Perspectives and Ideas.Mikko-Ville Apiola & Erkki Sutinen - 2020 - Constructivist Foundations 16 (1):055-056.
    As artificial intelligence continues to have a fundamental impact in our world and lives, a crucial need arises for integrating ethical and constructivist principles in the design of AI ….
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  21. Embedding Values in Artificial Intelligence (AI) Systems.Ibo van de Poel - 2020 - Minds and Machines 30 (3):385-409.
    Organizations such as the EU High-Level Expert Group on AI and the IEEE have recently formulated ethical principles and (moral) values that should be adhered to in the design and deployment of artificial intelligence (AI). These include respect for autonomy, non-maleficence, fairness, transparency, explainability, and accountability. But how can we ensure and verify that an AI system actually respects these values? To help answer this question, I propose an account for determining when an AI system can be (...)
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  22.  77
    On Artificial Intelligence and Manipulation.Marcello Ienca - 2023 - Topoi 42 (3):833-842.
    The increasing diffusion of novel digital and online sociotechnical systems for arational behavioral influence based on Artificial Intelligence (AI), such as social media, microtargeting advertising, and personalized search algorithms, has brought about new ways of engaging with users, collecting their data and potentially influencing their behavior. However, these technologies and techniques have also raised concerns about the potential for manipulation, as they offer unprecedented capabilities for targeting and influencing individuals on a large scale and in a more subtle, (...)
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  23. Legal and ethical principles governing the use of artificial intelligence in radiology services in South Africa.Irvine Sihlahla, Dusty-Lee Donnelly, Beverley Townsend & Donrich Thaldar - 2025 - Developing World Bioethics 25 (1):35-45.
    Artificial intelligence (AI) will drastically change the healthcare system. Radiology is one speciality that is most affected as AI algorithms are increasingly used in diagnostic imaging. AI‐enhanced health technologies will, inter alia, increase workflow efficiency, improve diagnostic accuracy, reduce healthcare‐related costs, and help alleviate medical personnel shortages in under‐resourced settings. However, the development of AI‐enhanced technologies in healthcare is fraught with legal, ethical, and human rights concerns. Currently, the use of AI in South African healthcare is not governed (...)
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  24.  29
    Imagining and governing artificial intelligence: the ordoliberal way—an analysis of the national strategy ‘AI made in Germany’.Jens Hälterlein - 2025 - AI and Society 40 (3):1749-1760.
    National Artificial Intelligence (AI) strategies articulate imaginaries of the integration of AI into society and envision the governing of AI research, development and applications accordingly. To integrate these central aspects of national AI strategies under one coherent perspective, this paper presented an analysis of Germany’s strategy ‘AI made in Germany’ through the conceptual lens of ordoliberal political rationality. The first part of the paper analyses how the guiding vision of a human-centric AI not only adheres to ethical and (...)
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  25.  41
    Proportionality principle for the ethics of artificial intelligence.Maksim Karliuk - 2023 - AI and Ethics 3:985–990.
    This commentary explores the principle of proportionality as a possible solution to unresolved problems pertaining to the tensions among principles in various ethical frameworks for artificial intelligence (AI). Conceptual and procedural divergences in the sets of principles reveal uncertainty as to which ethical principles should be prioritized and how conflicts between them should be resolved. Moreover, there are externalities of employing the currently dominant AI methods, in particular for the environment. The principle of proportionality and (...)
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  26. Artificial intelligence ethics guidelines for developers and users: clarifying their content and normative implications.Mark Ryan & Bernd Carsten Stahl - 2021 - Journal of Information, Communication and Ethics in Society 19 (1):61-86.
    Purpose The purpose of this paper is clearly illustrate this convergence and the prescriptive recommendations that such documents entail. There is a significant amount of research into the ethical consequences of artificial intelligence. This is reflected by many outputs across academia, policy and the media. Many of these outputs aim to provide guidance to particular stakeholder groups. It has recently been shown that there is a large degree of convergence in terms of the principles upon which these (...)
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  27. Artificial intelligence ethics has a black box problem.Jean-Christophe Bélisle-Pipon, Erica Monteferrante, Marie-Christine Roy & Vincent Couture - 2023 - AI and Society 38 (4):1507-1522.
    It has become a truism that the ethics of artificial intelligence (AI) is necessary and must help guide technological developments. Numerous ethical guidelines have emerged from academia, industry, government and civil society in recent years. While they provide a basis for discussion on appropriate regulation of AI, it is not always clear how these ethical guidelines were developed, and by whom. Using content analysis, we surveyed a sample of the major documents (_n_ = 47) and analyzed the accessible (...)
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  28.  25
    Can Artificial Intelligence Engage in the Practice of Law as the Art of Good and Justice?Neringa Gaubienė - 2024 - Filosofija. Sociologija 35 (2 Special).
    This article explores whether artificial intelligence (AI) can engage in the practice of law as an art of good and justice. It examines the historical and philosophical foundations of law as the art of promoting societal harmony and resolving moral dilemmas. The research employs critical and philosophical analysis methods integrating insights from legal scholars, ethicists, technologists, and policymakers. The study identifies AI’s potential to streamline legal processes, enhance access to justice, and reduce bias in decision-making. However, it also (...)
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  29. Artificial Intelligence, Religion, and Community Concern.Matt J. Rossano - 2001 - Zygon 36 (1):57-75.
    Future developments in artificial intelligence (AI) will likely allow for a greater degree of human‐machine convergence, with machines becoming more humanlike and intelligent machinery becoming more integrated into human brain function. This will pose many ethical challenges, and the necessity for a moral framework for evaluating these challenges will grow. This paper argues that community concern constitutes a central factor in both the evolution of religion and the human brain, and as such it should be used as the (...)
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  30.  98
    Artificial intelligence in medicine and the disclosure of risks.Maximilian Kiener - 2021 - AI and Society 36 (3):705-713.
    This paper focuses on the use of ‘black box’ AI in medicine and asks whether the physician needs to disclose to patients that even the best AI comes with the risks of cyberattacks, systematic bias, and a particular type of mismatch between AI’s implicit assumptions and an individual patient’s background situation.Pacecurrent clinical practice, I argue that, under certain circumstances, these risks do need to be disclosed. Otherwise, the physician either vitiates a patient’s informed consent or violates a more general obligation (...)
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  31. Legal personhood for artificial intelligences.Lawrence B. Solum - 1992 - North Carolina Law Review 70:1231.
    Could an artificial intelligence become a legal person? As of today, this question is only theoretical. No existing computer program currently possesses the sort of capacities that would justify serious judicial inquiry into the question of legal personhood. The question is nonetheless of some interest. Cognitive science begins with the assumption that the nature of human intelligence is computational, and therefore, that the human mind can, in principle, be modelled as a program that runs on a computer. (...)
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  32. Artificial Intelligence, Values, and Alignment.Iason Gabriel - 2020 - Minds and Machines 30 (3):411-437.
    This paper looks at philosophical questions that arise in the context of AI alignment. It defends three propositions. First, normative and technical aspects of the AI alignment problem are interrelated, creating space for productive engagement between people working in both domains. Second, it is important to be clear about the goal of alignment. There are significant differences between AI that aligns with instructions, intentions, revealed preferences, ideal preferences, interests and values. A principle-based approach to AI alignment, which combines these elements (...)
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  33. 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 (...)
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  34.  25
    Artificial Intelligence in Legal Research and Practice: An Exploration of Ethics and Policy.Nahid Ferdousi Ferdousi - 2024 - Bangladesh Journal of Bioethics 15 (2):20-27.
    In academic society today, there are numerous difficulties affecting the global community. Technological developments, such as artificial intelligence (AI), have given scholars and professionals new opportunities. Additionally, they have created obstacles to maintaining academic integrity by bringing up issues with plagiarism, cheating, and falsification. Researchers and academics need to make sure that they are utilizing AI in a way that complies with academic integrity standards and ethics. AI is a set of moral principles and values that direct (...)
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  35.  27
    Artificial Intelligence as a Harbinger of Significant Changes in Education.Anton Maleiev - 2024 - Filosofiya osvity Philosophy of Education 29 (2):143-159.
    The rapid development of programs based on the principles of machine learning (ML) and artificial intelligence (AI) signals significant changes in the components of education, namely in the provider, the tool of transmission, and the recipient of knowledge. Historical data analysis regarding the key functions of education serves as the basis for identifying fundamental innovations introduced through AI and ML. The impact of writing, printing, and the Internet has significantly altered the tool for knowledge transmission, influencing the (...)
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  36. Punishing Artificial Intelligence: Legal Fiction or Science Fiction.Alexander Sarch & Ryan Abbott - 2019 - UC Davis Law Review 53:323-384.
    Whether causing flash crashes in financial markets, purchasing illegal drugs, or running over pedestrians, AI is increasingly engaging in activity that would be criminal for a natural person, or even an artificial person like a corporation. We argue that criminal law falls short in cases where an AI causes certain types of harm and there are no practically or legally identifiable upstream criminal actors. This Article explores potential solutions to this problem, focusing on holding AI directly criminally liable where (...)
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  37. Artificial Intelligence Regulation: a framework for governance.Patricia Gomes Rêgo de Almeida, Carlos Denner dos Santos & Josivania Silva Farias - 2021 - Ethics and Information Technology 23 (3):505-525.
    This article develops a conceptual framework for regulating Artificial Intelligence (AI) that encompasses all stages of modern public policy-making, from the basics to a sustainable governance. Based on a vast systematic review of the literature on Artificial Intelligence Regulation (AIR) published between 2010 and 2020, a dispersed body of knowledge loosely centred around the “framework” concept was organised, described, and pictured for better understanding. The resulting integrative framework encapsulates 21 prior depictions of the policy-making process, aiming (...)
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  38. Artificial Intelligence in Higher Education in South Africa: Some Ethical Considerations.Tanya de Villiers-Botha - 2024 - Kagisano 15:165-188.
    There are calls from various sectors, including the popular press, industry, and academia, to incorporate artificial intelligence (AI)-based technologies in general, and large language models (LLMs) (such as ChatGPT and Gemini) in particular, into various spheres of the South African higher education sector. Nonetheless, the implementation of such technologies is not without ethical risks, notably those related to bias, unfairness, privacy violations, misinformation, lack of transparency, and threats to autonomy. This paper gives an overview of the more pertinent (...)
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  39.  54
    On conflicts between ethical and logical principles in artificial intelligence.Giuseppe D’Acquisto - 2020 - AI and Society 35 (4):895-900.
    Artificial intelligence is nowadays a reality. Setting rules on the potential outcomes of intelligent machines, so that no surprise can be expected by humans from the behavior of those machines, is becoming a priority for policy makers. In its recent Communication “Artificial Intelligence for Europe”, for instance, the European Commission identifies the distinguishing trait of an intelligent machine in the presence of “_a certain degree of autonomy_” in decision making, in the light of the context. The (...)
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  40.  34
    Ethical Artificial Intelligence in Chemical Research and Development: A Dual Advantage for Sustainability.Erik Hermann, Gunter Hermann & Jean-Christophe Tremblay - 2021 - Science and Engineering Ethics 27 (4):1-16.
    Artificial intelligence can be a game changer to address the global challenge of humanity-threatening climate change by fostering sustainable development. Since chemical research and development lay the foundation for innovative products and solutions, this study presents a novel chemical research and development process backed with artificial intelligence and guiding ethical principles to account for both process- and outcome-related sustainability. Particularly in ethically salient contexts, ethical principles have to accompany research and development powered by (...) intelligence to promote social and environmental good and sustainability while preventing any harm for all stakeholders affected. (shrink)
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  41.  40
    Artificial Intelligence as a Socio-Cultural Phenomenon: the Educational Dimension.Z. V. Stezhko & T. V. Khmil - 2023 - Anthropological Measurements of Philosophical Research 24:68-74.
    _Purpose._ The study aims to understand artificial intelligence as a socio-cultural phenomenon and its impact on education, where the spiritual sphere of humanity, moral norms, values, and human cognitive abilities are preserved, transferred as well as reproduced. A new discourse on the interaction of artificial and authentic human intelligence becomes inevitable, which has led to a situation of uncertainty. Changes in the socio-cultural environment under the influence of artificial intelligence increase potential threats to the (...)
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  42. Instruments, agents, and artificial intelligence: novel epistemic categories of reliability.Eamon Duede - 2022 - Synthese 200 (6):1-20.
    Deep learning (DL) has become increasingly central to science, primarily due to its capacity to quickly, efficiently, and accurately predict and classify phenomena of scientific interest. This paper seeks to understand the principles that underwrite scientists’ epistemic entitlement to rely on DL in the first place and argues that these principles are philosophically novel. The question of this paper is not whether scientists can be justified in trusting in the reliability of DL. While today’s artificial intelligence (...)
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  43.  9
    Artificial Intelligence as a Factor in State and Society Transformation: Finding Balance between Administrative Efficiency and Human-Centricity.Борис Борисович Славин - 2024 - Russian Journal of Philosophical Sciences 67 (3):99-122.
    The article presents a socio-philosophical analysis of artificial intelligence (AI) integration into public administration systems. The research focuses on identifying an optimal balance between enhancing administrative efficiency and preserving humanistic values. The author examines diverse perspectives on AI’s role in contemporary society, ranging from techno-optimistic concepts that view AI as a tool for qualitative improvement of human life, to critical theories warning of dehumanization risks and increased social control. The paper conducts a comparative analysis of national AI development (...)
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  44.  17
    The effect of artificial intelligence on creativity in conceptual design in architectural education: the motion of biomimetics and futurism.Tuğçe Çelik - forthcoming - AI and Society:1-11.
    “Nature-inspired” approaches, with their potential to generate innovative ideas through technology, are expected to surpass current architectural requirements and significantly influence future-oriented designs. A new agenda within the discipline of architecture involves production with artificial intelligence. Within this context, the question, “Can a design product be created by combining the principles of biomimicry and futuristic architecture?” is explored through AI’s capability to autonomously generate multiple architectural form alternatives. The objective is to develop a novel methodology. In the (...)
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  45. How Bioethics Can Shape Artificial Intelligence and Machine Learning.Junaid Nabi - 2018 - Hastings Center Report 48 (5):10-13.
    Artificial intelligence and machine learning have the potential to revolutionize the delivery of health care. But designing machine learning‐based decision support systems is not a merely technical challenge. It also requires attention to bioethical principles. As AI and machine learning advance, bioethical frameworks need to be tailored to address the problems that these evolving systems might pose, and the development of these automated systems also needs to be tailored to incorporate bioethical principles.
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  46.  8
    On Artificial Intelligence in Black and White.Richard Jones - 2024 - CLR James Journal 30 (1):65-96.
    With the emergence of Artificial Intelligence (AI) in the Anthropocene, we are faced with “humanizing AI before it dehumanizes us.” Before the advent of the “posthuman,” will our technologies help develop a better world, or enable us to more efficiently destroy it? This essay is an appeal to Black philosophers to contribute to the critique and value theory of AI. OpenAI’s GPT-4 has opened new ethical questions. This examination of AI’s history, and the possibility of “thinking machines,” concludes (...)
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  47.  93
    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 (...)
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  48.  32
    Basic values in artificial intelligence: comparative factor analysis in Estonia, Germany, and Sweden.Anu Masso, Anne Kaun & Colin van Noordt - 2024 - AI and Society 39 (6):2775-2790.
    Increasing attention is paid to ethical issues and values when designing and deploying artificial intelligence (AI). However, we do not know how those values are embedded in artificial artefacts or how relevant they are to the population exposed to and interacting with AI applications. Based on literature engaging with ethical principles and moral values in AI, we designed an original survey instrument, including 15 value components, to estimate the importance of these values to people in the (...)
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    Artificial Intelligence, Language, and the Study of Knowledge*,†.Ira Goldstein & Seymour Papert - 1977 - Cognitive Science 1 (1):84-123.
    This paper studies the relationship of Artificial Intelligence to the study of language and the representation of the underlying knowledge which supports the comprehension process. It develops the view that intelligence is based on the ability to use large amounts of diverse kinds of knowledge in procedural ways, rather than on the possession of a few general and uniform principles. The paper also provides a unifying thread to a variety of recent approaches to natural language comprehension. (...)
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  50. Challenges of Aligning Artificial Intelligence with Human Values.Margit Sutrop - 2020 - Acta Baltica Historiae Et Philosophiae Scientiarum 8 (2):54-72.
    As artificial intelligence systems are becoming increasingly autonomous and will soon be able to make decisions on their own about what to do, AI researchers have started to talk about the need to align AI with human values. The AI ‘value alignment problem’ faces two kinds of challenges—a technical and a normative one—which are interrelated. The technical challenge deals with the question of how to encode human values in artificial intelligence. The normative challenge is associated with (...)
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