Results for 'AI Ethics'

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  1. Shen mo shi wo men de yuan da qian tu.Siqi Ai - 1955
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  2.  9
    Xin li xue.Hua Ai - 2014 - Taibei Shi: Lan tai chu ban she. Edited by Hua Ai, Jingni Qiu & Yan Liu.
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  3.  9
    Engaging the public : the role of the media.Chang Ai-Lien & Judith Tan - 2010 - In John Elliott, W. Calvin Ho & Sylvia S. N. Lim (eds.), Bioethics in Singapore: The Ethical Microcosm. World Scientific. pp. 51.
  4. Sefer Mishpeṭe shekhenim: ṿe-hu madrikh le-hilkhot shekhenim.Eliʻezer Śimḥah ben Shelomoh Ṿais - 1997 - Bene-Beraḳ: Le-haśig et ha-sefer, R. Hofman.
     
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  5. Ḳunṭres Tamim tihyeh: mi-dine mitsṿat tamim tihyeh: goralot, niḥush, simanim, metsiʼat pasuḳ, ḳesamim le-tsorekh ḥoleh, aḥizat ʻenayim.Avraham Elimelekh Ṿais - 2019 - Ḳiryat Yoʼel Nu Yorḳ: Hotsaʼat Tsorkhe setam.
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  6. Sefer Ḳovets śiḥot: śiḥot be-ʻinyene musar ṿa-Ḥasidut.Aharon Ṿais - 2001 - Brooklyn, N.Y.: Ḥevrah ḳinyan sefarim de-Metivta Zikhron Yaʻaḳov Sapinḳa.
     
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  7. Sefer Maṭʻamim le-avi: halakhot, beʼurim, ʻiyunim ṿe-heʻarot be-mitsṿat haḳbalat pene ha-rav ba-regel uvi-sheʼar ʻitot ha-shanah ; Ḳunṭres hadran le-siyum Shishah sidre Mishnah: be-ʻinyan hitḳashrut talmid le-rabo.Yaʻaḳov Ṿais - 1995 - Yerushalayim: Y. ben A.Y. Ṿais. Edited by Yaʻaḳov Ṿais.
     
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  8. Sefer Otsar ha-maʼamarim: śiḥot musar ṿa-Ḥasidut.Asher Zeʼev Ṿais - 2003 - Ashdod: Mekhon "Torah or". Edited by Yehudah Ary Yaʻaḳovovits & Yitsḥaḳ Ṭroibe.
     
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  9. Sefer Zikhron Yitsḥaḳ: śiḥot be-ʻinyene hashḳafah u-maḥshavah.Yitsḥaḳ ben Binyamin Zeʼev Ṿais - 1989 - Yerushalayim: Y. ben B.Z. Ṿais.
     
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  10. Ziḳe or: śiḥot hashḳafah u-musar.Yitsḥaḳ ben Binyamin Zeʼev Ṿais - 1993 - Yerushalayim: Y. ben B.Z. Ṿais.
     
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  11.  29
    Possibilities and ethical issues of entrusting nursing tasks to robots and artificial intelligence.Tomohide Ibuki, Ai Ibuki & Eisuke Nakazawa - forthcoming - Nursing Ethics.
    In recent years, research in robotics and artificial intelligence (AI) has made rapid progress. It is expected that robots and AI will play a part in the field of nursing and their role might broaden in the future. However, there are areas of nursing practice that cannot or should not be entrusted to robots and AI, because nursing is a highly humane practice, and therefore, there would, perhaps, be some practices that should not be replicated by robots or AI. Therefore, (...)
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  12.  5
    Hide or report When insurance agents face policyholders’ fraudulent claims.Wanjie Niu, Haizhen Wang, Xin Ai, Xuefeng Wang & Jianming Bai - 2024 - International Journal of Business Governance and Ethics 1 (1).
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  13. Sefer Musre Rashbi: divre musar be-ʻinyene ha-midot uvi-sheʼar ʻinyanim / mi-leshon Shimʻon ben Yoḥai. Ṿe-ʻalav ḥibur Even shelemah: bo yevoʼar divre ha-musar sheba-Zohar...Simeon bar Yoḥai - 2004 - Yerushalayim: Mekhon Daʻat Yosef.
     
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  14. Sefer Musre Rashbi: divre musar be-ʻinyene ha-midot uvi-sheʼar ʻinyanim / mi-leshon Shimʻon ben Yoḥai. Ṿe-ʻalav ḥibur Even shelemah: bo yevoʼar divre ha-musar sheba-Zohar...Simeon bar Yoḥai - 2004 - Yerushalayim: Mekhon Daʻat Yosef.
     
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  15.  22
    Paediatric Palliative Care during the COVID-19 Pandemic: A Malaysian Perspective.Lee Ai Chong, Erwin J. Khoo, Azanna Ahmad Kamar & Hui Siu Tan - 2020 - Asian Bioethics Review 12 (4):529-537.
    Malaysia had its first four patients with COVID-19 on 25 January 2020. In the same week, the World Health Organization declared it as a public health emergency of international concern. The pandemic has since challenged the ethics and practice of medicine. There is palpable tension from the conflict of interest between public health initiatives and individual’s rights. Ensuring equitable care and distribution of health resources for patients with and without COVID-19 is a recurring ethical challenge for clinicians. Palliative care (...)
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  16. Un planteamiento del problema ético en el derecho penal.Aída Saad Chauvez - 1985 - Bogotá: [S.N.].
     
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  17. Sefer Aḥisamakh: kolel kol ha-maʼamarim ha-musariyim shebe-Midrash rabah ṿe-Tanḥuma ki-meʻaṭ.Ḥai Ḥadad - 1997 - Ḥara Kabirah, G'erbah: Y. Ḥadad.
     
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  18. Chʻu shih chê hsüeh.Mi-tsʻai Li - 1953
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  19. Ideologii︠a︡ i obshchestvennai︠a︡ psikhologii︠a︡.A. D. Davletkeldiev, A. A. Brudnyĭ & Aĭtmyrza Chotonov (eds.) - 1968 - Frunze,: "Ilim,".
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  20.  12
    Clinical internship environment and caring behaviours among nursing students: A moderated mediation model.Zhuo-er Huang, Xing Qiu, Ya-Qian Fu, Ai-di Zhang, Hui Huang, Jia Liu, Jin Yan & Qi-Feng Yi - forthcoming - Nursing Ethics.
    Background Caring behaviour is critical for nursing quality, and the clinical internship environment is a crucial setting for preparing nursing students for caring behaviours. Evidence about how to develop nursing students’ caring behaviour in the clinical environment is still emerging. However, the mechanism between the clinical internship environment and caring behaviour remains unclear, especially the mediating role of moral sensitivity and the moderating effect of self-efficacy. Research objective This study aimed to examine the mediating effect of moral sensitivity and the (...)
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  21.  12
    Religious Perspectives on Precision Medicine in Singapore.Tamra Lysaght, Zhixia Tan, You Guang Shi, Swami Samachittananda, Sarabjeet Singh, Roland Chia, Raza Zaidi, Malminderjit Singh, Hung Yong Tay, Chitra Sankaran, Serene Ai Kiang Ong, Angela Ballantyne & Hui Jin Toh - 2021 - Asian Bioethics Review 13 (4):473-483.
    Precision medicine (PM) aims to revolutionise healthcare, but little is known about the role religion and spirituality might play in the ethical discourse about PM. This Perspective reports the outcomes of a knowledge exchange fora with religious authorities in Singapore about data sharing for PM. While the exchange did not identify any foundational religious objections to PM, ethical concerns were raised about the possibility for private industry to profiteer from social resources and the potential for genetic discrimination by private health (...)
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  22.  10
    Comparative Analysis of Food Related Sustainable Development Goals in the North Asia Pacific Region.Charles V. Trappey, Amy J. C. Trappey, Hsin-Jung Lin & Ai-Che Chang - 2023 - Food Ethics 8 (2):1-24.
    Member States of the United Nations proposed Seventeen Sustainable Development Goals (SDGs) in 2015, emphasizing the well-being of people, planet, prosperity, peace, and partnership. Countries are expected to work diligently to achieve these goals by the year 2030. The paths chosen to achieve the SDGs depend on each country’s specific needs, challenges, and opportunities. This contribution conducts a bibliometric study of selected SDG research related to hunger and climate change among countries of the North Asia Pacific region. A review of (...)
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  23. The Ethics of AI Ethics: An Evaluation of Guidelines.Thilo Hagendorff - 2020 - Minds and Machines 30 (1):99-120.
    Current advances in research, development and application of artificial intelligence systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of ethics guidelines have been released in recent years. These guidelines comprise normative principles and recommendations aimed to harness the “disruptive” potentials of new AI technologies. Designed as a semi-systematic evaluation, this paper analyzes and compares 22 guidelines, highlighting overlaps but also omissions. As a result, I give a detailed overview of the field of AI (...)
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  24. Acceleration AI Ethics, the Debate between Innovation and Safety, and Stability AI’s Diffusion versus OpenAI’s Dall-E.James Brusseau - manuscript
    One objection to conventional AI ethics is that it slows innovation. This presentation responds by reconfiguring ethics as an innovation accelerator. The critical elements develop from a contrast between Stability AI’s Diffusion and OpenAI’s Dall-E. By analyzing the divergent values underlying their opposed strategies for development and deployment, five conceptions are identified as common to acceleration ethics. Uncertainty is understood as positive and encouraging, rather than discouraging. Innovation is conceived as intrinsically valuable, instead of worthwhile only as (...)
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  25. Why AI Ethics Is a Critical Theory.Rosalie Waelen - 2022 - Philosophy and Technology 35 (1):1-16.
    The ethics of artificial intelligence is an upcoming field of research that deals with the ethical assessment of emerging AI applications and addresses the new kinds of moral questions that the advent of AI raises. The argument presented in this article is that, even though there exist different approaches and subfields within the ethics of AI, the field resembles a critical theory. Just like a critical theory, the ethics of AI aims to diagnose as well as change (...)
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  26.  94
    AI ethics should not remain toothless! A call to bring back the teeth of ethics.Rowena Rodrigues & Anaïs Rességuier - 2020 - Big Data and Society 7 (2).
    Ethics has powerful teeth, but these are barely being used in the ethics of AI today – it is no wonder the ethics of AI is then blamed for having no teeth. This article argues that ‘ethics’ in the current AI ethics field is largely ineffective, trapped in an ‘ethical principles’ approach and as such particularly prone to manipulation, especially by industry actors. Using ethics as a substitute for law risks its abuse and misuse. (...)
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  27. AI ethics: the case for including animals.Peter Singer - 2022 - AI and Ethics 2 (3).
    The ethics of artificial intelligence, or AI ethics, is a rapidly growing field, and rightly so. While the range of issues and groups of stakeholders concerned by the field of AI ethics is expanding, with speculation about whether it extends even to the machines themselves, there is a group of sentient beings who are also affected by AI, but are rarely mentioned within the field of AI ethics—the nonhuman animals. This paper seeks to explore the kinds (...)
     
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  28.  85
    Operationalising AI ethics: barriers, enablers and next steps.Jessica Morley, Libby Kinsey, Anat Elhalal, Francesca Garcia, Marta Ziosi & Luciano Floridi - 2023 - AI and Society 38 (1):411-423.
    By mid-2019 there were more than 80 AI ethics guides available in the public domain. Despite this, 2020 saw numerous news stories break related to ethically questionable uses of AI. In part, this is because AI ethics theory remains highly abstract, and of limited practical applicability to those actually responsible for designing algorithms and AI systems. Our previous research sought to start closing this gap between the ‘what’ and the ‘how’ of AI ethics through the creation of (...)
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  29.  58
    Decolonizing AI Ethics: Relational Autonomy as a Means to Counter AI Harms.Sábëlo Mhlambi & Simona Tiribelli - 2023 - Topoi 42 (3):867-880.
    Many popular artificial intelligence (AI) ethics frameworks center the principle of autonomy as necessary in order to mitigate the harms that might result from the use of AI within society. These harms often disproportionately affect the most marginalized within society. In this paper, we argue that the principle of autonomy, as currently formalized in AI ethics, is itself flawed, as it expresses only a mainstream mainly liberal notion of autonomy as rational self-determination, derived from Western traditional philosophy. In (...)
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  30.  86
    AI ethics: from principles to practice.Jianlong Zhou & Fang Chen - 2023 - AI and Society 38 (6):2693-2703.
    Much of the current work on AI ethics has lost its connection to the real-world impact by making AI ethics operable. There exist significant limitations of hyper-focusing on the identification of abstract ethical principles, lacking effective collaboration among stakeholders, and lacking the communication of ethical principles to real-world applications. This position paper presents challenges in making AI ethics operable and highlights key obstacles to AI ethics impact. A preliminary practice example is provided to initiate practical implementations (...)
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  31.  23
    AI ethics as subordinated innovation network.James Steinhoff - forthcoming - AI and Society:1-13.
    AI ethics is proposed, by the Big Tech companies which lead AI research and development, as the cure for diverse social problems posed by the commercialization of data-intensive technologies. It aims to reconcile capitalist AI production with ethics. However, AI ethics is itself now the subject of wide criticism; most notably, it is accused of being no more than “ethics washing” a cynical means of dissimulation for Big Tech, while it continues its business operations unchanged. This (...)
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  32.  53
    Operationalising AI ethics: how are companies bridging the gap between practice and principles? An exploratory study.Javier Camacho Ibáñez & Mónica Villas Olmeda - 2022 - AI and Society 37 (4):1663-1687.
    Despite the increase in the research field of ethics in artificial intelligence, most efforts have focused on the debate about principles and guidelines for responsible AI, but not enough attention has been given to the “how” of applied ethics. This paper aims to advance the research exploring the gap between practice and principles in AI ethics by identifying how companies are applying those guidelines and principles in practice. Through a qualitative methodology based on 22 semi-structured interviews and (...)
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  33.  12
    Moral Relevance Approach for AI Ethics.Shuaishuai Fang - 2024 - Philosophies 9 (2):42.
    Artificial intelligence (AI) ethics is proposed as an emerging and interdisciplinary field concerned with addressing the ethical issues of AI, such as the issue of moral decision-making. The conflict between our intuitive moral judgments constitutes an inevitable obstacle to decision-making in AI ethics. This article outlines the Moral Relevance Approach, which could provide a considerable moral foundation for AI ethics. Taking moral relevance as the precondition of the consequentialist principles, the Moral Relevance Approach aims to plausibly consider (...)
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  34.  43
    An AI ethics ‘David and Goliath’: value conflicts between large tech companies and their employees.Mark Ryan, Eleni Christodoulou, Josephina Antoniou & Kalypso Iordanou - forthcoming - AI and Society:1-16.
    Artificial intelligence ethics requires a united approach from policymakers, AI companies, and individuals, in the development, deployment, and use of these technologies. However, sometimes discussions can become fragmented because of the different levels of governance or because of different values, stakeholders, and actors involved. Recently, these conflicts became very visible, with such examples as the dismissal of AI ethics researcher Dr. Timnit Gebru from Google and the resignation of whistle-blower Frances Haugen from Facebook. Underpinning each debacle was a (...)
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  35.  18
    Emotional AI, Ethics, and Japanese Spice: Contributing Community, Wholeness, Sincerity, and Heart.Andrew McStay - 2021 - Philosophy and Technology 34 (4):1781-1802.
    This paper assesses leading Japanese philosophical thought since the onset of Japan’s modernity: namely, from the Meiji Restoration onwards. It argues that there are lessons of global value for AI ethics to be found from examining leading Japanese philosophers of modernity and ethics, each of whom engaged closely with Western philosophical traditions. Turning to these philosophers allows us to advance from what are broadly individualistically and Western-oriented ethical debates regarding emergent technologies that function in relation to AI, by (...)
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  36.  39
    Integrating AI ethics in wildlife conservation AI systems in South Africa: a review, challenges, and future research agenda.Irene Nandutu, Marcellin Atemkeng & Patrice Okouma - 2023 - AI and Society 38 (1):245-257.
    With the increased use of Artificial Intelligence (AI) in wildlife conservation, issues around whether AI-based monitoring tools in wildlife conservation comply with standards regarding AI Ethics are on the rise. This review aims to summarise current debates and identify gaps as well as suggest future research by investigating (1) current AI Ethics and AI Ethics issues in wildlife conservation, (2) Initiatives Stakeholders in AI for wildlife conservation should consider integrating AI Ethics in wildlife conservation. We find (...)
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  37. The global landscape of AI ethics guidelines.A. Jobin, M. Ienca & E. Vayena - 2019 - Nature Machine Intelligence 1.
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  38.  45
    From AI Ethics Principles to Practices: A Teleological Methodology to Apply AI Ethics Principles in The Defence Domain.Christopher Thomas, Alexander Blanchard & Mariarosaria Taddeo - 2024 - Philosophy and Technology 37 (1):1-21.
    This article provides a methodology for the interpretation of AI ethics principles to specify ethical criteria for the development and deployment of AI systems in high-risk domains. The methodology consists of a three-step process deployed by an independent, multi-stakeholder ethics board to: (1) identify the appropriate level of abstraction for modelling the AI lifecycle; (2) interpret prescribed principles to extract specific requirements to be met at each step of the AI lifecycle; and (3) define the criteria to inform (...)
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  39.  25
    AI Ethics in Higher Education: Insights from Africa and Beyond.Caitlin C. Corrigan, Simon Atuah Asakipaam, Jerry John Kponyo & Christoph Luetge (eds.) - 2023 - Springer Verlag.
    This open access book tackles the pressing problem of integrating concerns related to Artificial Intelligence (AI) ethics into higher education curriculums aimed at future AI developers in Africa and beyond. For doing so, it analyzes the present and future states of AI ethics education in local computer science and engineering programs. The authors share relevant best practices and use cases for teaching, develop answers to ongoing organizational challenges, and reflect on the practical implications of different theoretical approaches to (...)
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  40. Proposing Central Asian AI Ethics Principles: A Multilevel Approach for Responsible AI.Ammar Younas & Yi Zeng - manuscript
    This paper puts forth Central Asian AI Ethics Principles and proposes a layered strategy tailored for the development of ethical principles in the field of artificial intelligence (AI) in Central Asian countries. This approach includes the customization of AI ethics principles to resonate with local nuances, the formulation of national and regional-level AI Ethics principles, and the implementation of subject-specific principles. While countering the narrative of ineffectiveness of the AI Ethics principles, this paper underscores the importance (...)
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  41. How to Use AI Ethically for Ethical Decision-Making.Joanna Demaree-Cotton, Brian D. Earp & Julian Savulescu - 2022 - American Journal of Bioethics 22 (7):1-3.
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  42.  34
    Implementing AI Ethics in the Design of AI-assisted Rescue Robots.Désirée Martin, Michael W. Schmidt & Rafaela Hillerbrand - 2023 - Ieee International Symposium on Ethics in Engineering, Science, and Technology (Ethics).
    For implementing ethics in AI technology, there are at least two major ethical challenges. First, there are various competing AI ethics guidelines and consequently there is a need for a systematic overview of the relevant values that should be considered. Second, if the relevant values have been identified, there is a need for an indicator system that helps assessing if certain design features are positively or negatively affecting their implementation. This indicator system will vary with regard to specific (...)
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  43.  10
    AI Ethics and the Automation Industry: How Companies Respond to Questions About Ethics at the automatica Trade Fair 2022.Maximilian Braun, Daniel Tigard, Franziska Schönweitz, Laura Lucaj & Alexander von Janowski - 2022 - Philosophy and Technology 35 (3):1-6.
    Against the backdrop of a recent history of ongoing efforts to institutionalize ethics in ways that also target corporate environments, we asked ourselves: How do company representatives at the automatica 2022 trade fair in Munich respond to questions around ethics? To this end, we started an exploratory survey at the automatica 2022 in Munich, asking 22 company representatives at various booths from various industrial sectors the basic question: “Is there somebody in your company working on ethics?” Most (...)
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  44.  76
    AI ethics and the banality of evil.Payman Tajalli - 2021 - Ethics and Information Technology 23 (3):447-454.
    In this paper, I draw on Hannah Arendt’s notion of ‘banality of evil’ to argue that as long as AI systems are designed to follow codes of ethics or particular normative ethical theories chosen by us and programmed in them, they are Eichmanns destined to commit evil. Since intelligence alone is not sufficient for ethical decision making, rather than strive to program AI to determine the right ethical decision based on some ethical theory or criteria, AI should be concerned (...)
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  45.  32
    AI ethics and data governance in the geospatial domain of Digital Earth.Marina Micheli, Caroline M. Gevaert, Mary Carman, Max Craglia, Emily Daemen, Rania E. Ibrahim, Alexander Kotsev, Zaffar Mohamed-Ghouse, Sven Schade, Ingrid Schneider, Lea A. Shanley, Alessio Tartaro & Michele Vespe - 2022 - Big Data and Society 9 (2).
    Digital Earth applications provide a common ground for visualizing, simulating, and modeling real-world situations. The potential of Digital Earth applications has increased significantly with the evolution of artificial intelligence systems and the capacity to collect and process complex amounts of geospatial data. Yet, the widespread techno-optimism at the root of Digital Earth must now confront concerns over high-risk artificial intelligence systems and power asymmetries of a datafied society. In this commentary, we claim that not only can current debates about data (...)
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  46.  46
    AI ethics inflation, Delphi and the restart of theory.Peter Seele - 2024 - AI and Society 39 (1):403-405.
  47.  22
    AI ethics with Chinese characteristics? Concerns and preferred solutions in Chinese academia.Junhua Zhu - forthcoming - AI and Society:1-14.
    Since Chinese scholars are playing an increasingly important role in shaping the national landscape of discussion on AI ethics, understanding their ethical concerns and preferred solutions is essential for global cooperation on governance of AI. This article, therefore, provides the first elaborated analysis on the discourse on AI ethics in Chinese academia, via a systematic literature review. This article has three main objectives. to identify the most discussed ethical issues of AI in Chinese academia and those being left (...)
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  48.  23
    AI ethics discourse: a call to embrace complexity, interdisciplinarity, and epistemic humility.Joshua C. Gellers - forthcoming - AI and Society:1-2.
  49. Is AI Ethics All Fluff?John Zerilli - forthcoming - In David Edmonds (ed.), Living with AI: Moral Challenges. Oxford University Press.
    The AI revolution provides a neat illustration of C.P. Snow's ideas regarding "the two cultures" and a timely opportunity to reflect on why mutual suspicion persists between those in the natural sciences, on the one hand, and the humanities (and to an extent the social sciences), on the other.
     
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  50.  54
    AI Ethics: how can information ethics provide a framework to avoid usual conceptual pitfalls? An Overview.Frédérick Bruneault & Andréane Sabourin Laflamme - forthcoming - AI and Society:1-10.
    Artificial intelligence plays an important role in current discussions on information and communication technologies and new modes of algorithmic governance. It is an unavoidable dimension of what social mediations and modes of reproduction of our information societies will be in the future. While several works in artificial intelligence ethics address ethical issues specific to certain areas of expertise, these ethical reflections often remain confined to narrow areas of application, without considering the global ethical issues in which they are embedded. (...)
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