Results for 'Algorithmic Literacy'

960 found
Order:
  1.  44
    Democracy in the Time of “Hyperlead”: Knowledge Acquisition via Algorithmic Recommendation and Its Political Implication in Comparison with Orality, Literacy, and Hyperlink.Wha-Chul Son - 2022 - Philosophy and Technology 35 (3):1-21.
    Why hasn’t democracy been promoted by nor ICT been controlled by democratic governance? To answer this question, this research begins its investigation by comparing knowledge acquisition systems throughout history: orality, literacy, hyperlink, and hyperlead. “Hyperlead” is a newly coined concept to emphasize the passivity of people when achieving knowledge and information via algorithmic recommendation technologies. Subsequently, the four systems are compared in terms of their epistemological characteristics and political implications. It is argued that, while literacy and hyperlink (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  2.  96
    Adolescents’ Algorithmic Resistance to Short Video APP’s Recommendation: The Dual Mediating Role of Resistance Willingness and Resistance Intention.Xing Lv, Yang Chen & Weiqi Guo - 2022 - Frontiers in Psychology 13.
    Adolescents have gradually become a vital group of interacting with social media recommendation algorithms. Although numerous studies have been conducted to investigate negative reactions that the dark side of recommendation algorithms brings to social media users, little is known about the resistance intention and behavior based on their agency in the daily process of encountering algorithms. Focusing on the concept of algorithm resistance, this study used a two-path model to investigate the algorithmic resistance of rural Chinese adolescents in their (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  3.  38
    Biased Humans, (Un)Biased Algorithms?Florian Pethig & Julia Kroenung - 2022 - Journal of Business Ethics 183 (3):637-652.
    Previous research has shown that algorithmic decisions can reflect gender bias. The increasingly widespread utilization of algorithms in critical decision-making domains (e.g., healthcare or hiring) can thus lead to broad and structural disadvantages for women. However, women often experience bias and discrimination through human decisions and may turn to algorithms in the hope of receiving neutral and objective evaluations. Across three studies (N = 1107), we examine whether women’s receptivity to algorithms is affected by situations in which they believe (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  4.  54
    How do people judge the credibility of algorithmic sources?Donghee Shin - 2022 - AI and Society 37 (1):81-96.
    The exponential growth of algorithms has made establishing a trusted relationship between human and artificial intelligence increasingly important. Algorithm systems such as chatbots can play an important role in assessing a user’s credibility on algorithms. Unless users believe the chatbot’s information is credible, they are not likely to be willing to act on the recommendation. This study examines how literacy and user trust influence perceptions of chatbot information credibility. Results confirm that algorithmic literacy and users’ trust play (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   10 citations  
  5.  40
    The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity.Ulrich Leicht-Deobald, Thorsten Busch, Christoph Schank, Antoinette Weibel, Simon Schafheitle, Isabelle Wildhaber & Gabriel Kasper - 2019 - Journal of Business Ethics 160 (2):377-392.
    Organizations increasingly rely on algorithm-based HR decision-making to monitor their employees. This trend is reinforced by the technology industry claiming that its decision-making tools are efficient and objective, downplaying their potential biases. In our manuscript, we identify an important challenge arising from the efficiency-driven logic of algorithm-based HR decision-making, namely that it may shift the delicate balance between employees’ personal integrity and compliance more in the direction of compliance. We suggest that critical data literacy, ethical awareness, the use of (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   21 citations  
  6.  29
    Challenges in enabling user control over algorithm-based services.Pascal D. König - 2024 - AI and Society 39 (1):195-205.
    Algorithmic systems that provide services to people by supporting or replacing human decision-making promise greater convenience in various areas. The opacity of these applications, however, means that it is not clear how much they truly serve their users. A promising way to address the issue of possible undesired biases consists in giving users control by letting them configure a system and aligning its performance with users’ own preferences. However, as the present paper argues, this form of control over an (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  7.  4
    Building trustworthy AI solutions: integrating artificial intelligence literacy into records management and archival systems.Richard Arias Hernández & Moisés Rockembach - forthcoming - AI and Society:1-18.
    This paper explores the essential role of Artificial Intelligence (AI) competencies and literacy in the fields of records management and archival practices, within the framework of the InterPARES Trust AI project. As AI technologies advance, archival professionals must acquire specific skills and knowledge to effectively integrate these technologies into their workflows. The study employs two complementary approaches: (1) a detailed competency framework developed through literature reviews, interviews with archival professionals who have applied AI to the processing of records, and (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  8.  27
    Factors influencing secondary school students’ reading literacy: An analysis based on XGBoost and SHAP methods.Hao Liu, Xi Chen & Xiaoxiao Liu - 2022 - Frontiers in Psychology 13.
    This paper constructs a predictive model of student reading literacy based on data from students who participated in the Program for International Student Assessment from four provinces/municipalities of China, i.e., Beijing, Shanghai, Jiangsu and Zhejiang. We calculated the contribution of influencing factors in the model by using eXtreme Gradient Boosting algorithm and sHapley additive exPlanations values, and get the following findings: Factors that have the greatest impact on students’ reading literacy are from individual and family levels, with school-level (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  9.  24
    Programming the Gesture of Writing: On the Algorithmic Paratexts of the Digital.Catherine Adams - 2016 - Educational Theory 66 (4):479-497.
    In the wake of the digital, some have recommended that we abandon the tedium of teaching handwriting to children in service of promoting “more creative” digital literacies. Others worry that an early diet of keyboard and screen may have deleterious effects on children's social, emotional, and cognitive development, as well as their physical well-being. Yet in this debate, the algorithmic scripts and digital surfaces underwriting these new reading, writing, and mathematical practices are, with a few notable exceptions, almost exclusively (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  10.  49
    If We Are Compelled to Suffer: A Nihilist Intervention for the Left and Cultural Studies.Zooey Sophia Pook - 2018 - International Journal of Žižek Studies 12 (3).
    Cultural studies need nihilism. The current canon of work focuses too heavily on a political age and human condition that is rapidly being altered and replaced by the use of neoliberal technologies. A new understanding of ontology and politics is necessary to make sense of and challenge the changing technological orientation of human beings by what Deleuze has called a mutation of capital. It is not through institutional discipline that power permeates our being any longer but through our orientation to (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  11.  53
    Zombies in the Loop? Humans Trust Untrustworthy AI-Advisors for Ethical Decisions.Sebastian Krügel, Andreas Ostermaier & Matthias Uhl - 2022 - Philosophy and Technology 35 (1):1-37.
    Departing from the claim that AI needs to be trustworthy, we find that ethical advice from an AI-powered algorithm is trusted even when its users know nothing about its training data and when they learn information about it that warrants distrust. We conducted online experiments where the subjects took the role of decision-makers who received advice from an algorithm on how to deal with an ethical dilemma. We manipulated the information about the algorithm and studied its influence. Our findings suggest (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  12.  42
    The Epistemological Consequences of Artificial Intelligence, Precision Medicine, and Implantable Brain-Computer Interfaces.Ian Stevens - 2024 - Voices in Bioethics 10.
    ABSTRACT I argue that this examination and appreciation for the shift to abductive reasoning should be extended to the intersection of neuroscience and novel brain-computer interfaces too. This paper highlights the implications of applying abductive reasoning to personalized implantable neurotechnologies. Then, it explores whether abductive reasoning is sufficient to justify insurance coverage for devices absent widespread clinical trials, which are better applied to one-size-fits-all treatments. INTRODUCTION In contrast to the classic model of randomized-control trials, often with a large number of (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  13.  75
    Deep Ethical Learning: Taking the Interplay of Human and Artificial Intelligence Seriously.Anita Ho - 2019 - Hastings Center Report 49 (1):36-39.
    From predicting medical conditions to administering health behavior interventions, artificial intelligence technologies are being developed to enhance patient care and outcomes. However, as Mélanie Terrasse and coauthors caution in an article in this issue of the Hastings Center Report, an overreliance on virtual technologies may depersonalize medical interactions and erode therapeutic relationships. The increasing expectation that patients will be actively engaged in their own care, regardless of the patients’ desire, technological literacy, and economic means, may also violate patients’ autonomy (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  14.  10
    Ethical implications of AI-driven clinical decision support systems on healthcare resource allocation: a qualitative study of healthcare professionals’ perspectives.Cansu Yüksel Elgin & Ceyhun Elgin - 2024 - BMC Medical Ethics 25 (1):1-15.
    Background Artificial intelligence-driven Clinical Decision Support Systems (AI-CDSS) are increasingly being integrated into healthcare for various purposes, including resource allocation. While these systems promise improved efficiency and decision-making, they also raise significant ethical concerns. This study aims to explore healthcare professionals’ perspectives on the ethical implications of using AI-CDSS for healthcare resource allocation. Methods We conducted semi-structured qualitative interviews with 23 healthcare professionals, including physicians, nurses, administrators, and medical ethicists in Turkey. Interviews focused on participants’ views regarding the use of (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  15.  41
    Promoting responsible AI : A European perspective on the governance of artificial intelligence in media and journalism.Colin Porlezza - 2023 - Communications 48 (3):370-394.
    Artificial intelligence and automation have become pervasive in news media, influencing journalism from news gathering to news distribution. As algorithms are increasingly determining editorial decisions, specific concerns have been raised with regard to the responsible and accountable use of AI-driven tools by news media, encompassing new regulatory and ethical questions. This contribution aims to analyze whether and to what extent the use of AI technology in news media and journalism is currently regulated and debated within the European Union and the (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  16.  19
    Artificial Intelligence in Public Health: A Review Article.Hridi Hedayet & Fariha Haseen - 2024 - Bangladesh Journal of Bioethics 15 (2):15-19.
    Background: Artificial intelligence (AI) is the simulation of human intelligence processes by machines, such as learning, reasoning, and problem-solving. AI has the potential to transform the field of public health, which is concerned with promoting and protecting the health of populations and preventing diseases. AI can help public health organizations perform their essential functions more efficiently, effectively, and equitably; AI can transform the public health field, but it also poses some challenges and risks that must be addressed carefully and responsibly. (...)
    No categories
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  17.  27
    Democratizing Visual Stylometry: Analysis of Artistic Style through Computational Workflows.William Seeley, Catherine A. Buell & Rickey J. Sethi - manuscript
    Visual stylometry is a new interdisciplinary research field that sits at the junction of digital humanities, empirical aesthetics, and computer science. Research in this field employs image analysis algorithms to study key aspects of artistic style. The nature of artistic style is the subject of ongoing debate within art history and philosophy of art. Computational and statistical methods in visual stylometry allow researchers to quantify and compare aspects of artistic style over the course of the career of an individual artist, (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  18.  37
    Playing with models and optimization to overcome the tragedy of the commons in groundwater.O. López-Corona, P. Padilla, O. Escolero, F. Armas, R. García-Arrazola & R. Esparza - 2014 - Complexity 19 (1):9-21.
    Direct download  
     
    Export citation  
     
    Bookmark   4 citations  
  19.  20
    Inthischapter I explain the relationship between globalization and technological literacy. After accounting for the notion of technologi-calliteracythat.Rethinking Technological Literacy - 2006 - In John R. Dakers (ed.), Defining Technological Literacy: Towards an Epistemological Framework. Palgrave-Macmillan.
    Direct download  
     
    Export citation  
     
    Bookmark  
  20.  6
    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 the dispositions of actors, (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  21.  4
    Introduction to Special Section on Virtue in the Loop: Virtue Ethics and Military AI.D. C. Washington, I. N. Notre Dame, National Securityhe is Currently Working on Two Books: A. Muse of Fire: Why The Technology, on What Happens to Wartime Innovations When the War is Over U. S. Military Forgets What It Learns in War, U. S. Army Asymmetric Warfare Group The Shot in the Dark: A. History of the, Global Power Competition His Writing has Appeared in Russian Analytical Digest The First Comprehensive Overview of A. Unit That Helped the Army Adapt to the Post-9/11 Era of Counterinsurgency, The New Atlantis Triple Helix, War on the Rocks Fare Forward, 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 - 2025 - Journal of Military Ethics 23 (3):245-250.
    This essay introduces this special issue on virtue ethics in relation to military AI. It describes the current situation of military AI ethics as following that of AI ethics in general, caught between consequentialism and deontology. Virtue ethics serves as an alternative that can address some of the weaknesses of these dominant forms of ethics. The essay describes how the articles in the issue exemplify the value of virtue-related approaches for these questions, before ending with thoughts for further research.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  22.  43
    ICT Literacy: A Technical or Non-technical Issue?Joris Vlieghe - 2017 - Foundations of Science 22 (2):401-404.
    In this short reply to Riis’ paper I first deal with his perceptive defence of ICT literacy, to which I fully subscribe, showing how his ideas might gain from highlighting the ‘technical’ dimensions involved in literacy practices. Second, this will allow me to make some comments regarding the curricular and organizational aspects of contemporary education, which forms the largest part of his paper. My main line of criticism towards Riis’ paper is that I defend a ‘technical’ rather than (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   5 citations  
  23. Literacy, Historiography, and the Ethics of Writing About the Absent Other: On Responsibility Toward the Past.Natan Elgabsi - 2022 - Dissertation, Åbo Akademi University
    This dissertation examines existential and ethical dimensions of writing and reading, especially with regard to what it means to historicize, that is think, tell, read and write about the past. A central aim of the dissertation is to show that reading and writing as cultural phenomena involve a transgenerational ethical relationship with absent people, which exceeds the immediate horizon of life of an individual. Growing up in a culture of literacy means gradually coming to understand a life that spans (...)
     
    Export citation  
     
    Bookmark  
  24. Multicultural Literacy, Epistemic Injustice, and White Ignorance.Amandine Catala - 2019 - Feminist Philosophy Quarterly 5 (2):1-24.
    The traditional blackface character Black Pete has been at the center of an intense controversy in the Netherlands, with most black citizens denouncing the tradition as racist and most white citizens endorsing it as harmless fun. I analyze the controversy as an utter failure, on the part of white citizens, of what Alison Jaggar has called multicultural literacy. This article aims to identify both the causes of this failure of multicultural literacy and the conditions required for multicultural (...) to be possible. I argue that this failure of multicultural literacy is due to hermeneutical injustice and to white ignorance. I close by considering possible avenues for fostering multicultural literacy. (shrink)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   7 citations  
  25. Democratizing Algorithmic Fairness.Pak-Hang Wong - 2020 - Philosophy and Technology 33 (2):225-244.
    Algorithms can now identify patterns and correlations in the (big) datasets, and predict outcomes based on those identified patterns and correlations with the use of machine learning techniques and big data, decisions can then be made by algorithms themselves in accordance with the predicted outcomes. Yet, algorithms can inherit questionable values from the datasets and acquire biases in the course of (machine) learning, and automated algorithmic decision-making makes it more difficult for people to see algorithms as biased. While researchers (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   34 citations  
  26.  27
    Adolescent Literacies in a Multicultural Context.Alister H. Cumming (ed.) - 2012 - Routledge.
    "This book presents results from a four-year project addressing the central question: What factors, challenges, and contexts contribute to and constrain literacy achievement among at-risk adolescent learners with culturally diverse ...
    Direct download  
     
    Export citation  
     
    Bookmark  
  27.  85
    Health literacy, health inequality and a just healthcare system.Angelo E. Volandes & Michael K. Paasche-Orlow - 2007 - American Journal of Bioethics 7 (11):5 – 10.
    Limited health literacy is a pervasive and independent risk factor for poor health outcomes. Despite decades of reports exhibiting that the healthcare system is overly complex, unneeded complexity remains commonplace and endangers the lives of patients, especially those with limited health literacy. In this article, we define health literacy and describe the empirical evidence associating health literacy and poor health outcomes. We recast the issue of poor health literacy from within the ethical perspective of the (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   15 citations  
  28.  12
    Matrix Algorithms in MATLAB.Ong U. Routh - 2016 - London: Academic Press.
    Introduction -- Direct algorithms of decompositions of matrices by non-orthogonal transformations -- Direct algorithms of decompositions of matrices by orthogonal transformations -- Direct algorithms of solution of linear equations -- Iterative algorithms of solution of linear equations -- Direct algorithms of solution of eigenvalue problem -- Iterative algorithms of solution of eigenvalue problem -- Algorithms of solution of singular value decomposition.
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  29. Algorithmic and human decision making: for a double standard of transparency.Mario Günther & Atoosa Kasirzadeh - 2022 - AI and Society 37 (1):375-381.
    Should decision-making algorithms be held to higher standards of transparency than human beings? The way we answer this question directly impacts what we demand from explainable algorithms, how we govern them via regulatory proposals, and how explainable algorithms may help resolve the social problems associated with decision making supported by artificial intelligence. Some argue that algorithms and humans should be held to the same standards of transparency and that a double standard of transparency is hardly justified. We give two arguments (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   19 citations  
  30. Algorithmic Profiling as a Source of Hermeneutical Injustice.Silvia Milano & Carina Prunkl - forthcoming - Philosophical Studies:1-19.
    It is well-established that algorithms can be instruments of injustice. It is less frequently discussed, however, how current modes of AI deployment often make the very discovery of injustice difficult, if not impossible. In this article, we focus on the effects of algorithmic profiling on epistemic agency. We show how algorithmic profiling can give rise to epistemic injustice through the depletion of epistemic resources that are needed to interpret and evaluate certain experiences. By doing so, we not only (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  31. Algorithms for Ethical Decision-Making in the Clinic: A Proof of Concept.Lukas J. Meier, Alice Hein, Klaus Diepold & Alena Buyx - 2022 - American Journal of Bioethics 22 (7):4-20.
    Machine intelligence already helps medical staff with a number of tasks. Ethical decision-making, however, has not been handed over to computers. In this proof-of-concept study, we show how an algorithm based on Beauchamp and Childress’ prima-facie principles could be employed to advise on a range of moral dilemma situations that occur in medical institutions. We explain why we chose fuzzy cognitive maps to set up the advisory system and how we utilized machine learning to train it. We report on the (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   31 citations  
  32. Algorithmic Fairness Criteria as Evidence.Will Fleisher - forthcoming - Ergo: An Open Access Journal of Philosophy.
    Statistical fairness criteria are widely used for diagnosing and ameliorating algorithmic bias. However, these fairness criteria are controversial as their use raises several difficult questions. I argue that the major problems for statistical algorithmic fairness criteria stem from an incorrect understanding of their nature. These criteria are primarily used for two purposes: first, evaluating AI systems for bias, and second constraining machine learning optimization problems in order to ameliorate such bias. The first purpose typically involves treating each criterion (...)
    Direct download  
     
    Export citation  
     
    Bookmark   1 citation  
  33.  21
    Literacy and Paideia in Ancient Greece.Jackson P. Hershbell - 1996 - Journal of the History of Philosophy 34 (3):451-452.
    Book Reviews K. Robb, Literacy and Paideia in Ancient Greece. New York: Oxford University Press, 1994. Pp. x + 13o. Cloth, $45.oo. Robb's book can perhaps best be viewed in the context of previous studies of orality and literacy in the ancient Greek world, especially those of E. A. Havelock: Preface to Plato , The Literate Revolution and Its Cultural Consequences , and The Muse Learns to Write . Havelock's work has stimulated much discussion, some of it still (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  34.  16
    Algorithm design: a methodological approach--150 problems and detailed solutions.Patrick Bosc - 2023 - Boca Raton: CRC Press. Edited by Lauren Miclet & Marc Guyomard.
    A best-seller in its French edition, the construction of this book is original and its success in the French market demonstrates its appeal. It is based on three principles: 1. An organization of the chapters by families of algorithms : exhaustive search, divide and conquer, etc. At the contrary, there is no chapter only devoted to a systematic exposure of, say, algorithms on strings. Some of these will be found in different chapters. 2. For each family of algorithms, an introduction (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  35.  20
    Health Literacy, Health Inequality and a Just Healthcare System.Angelo E. Volandes - 2007 - American Journal of Bioethics 7 (11):5-10.
    Limited health literacy is a pervasive and independent risk factor for poor health outcomes. Despite decades of reports exhibiting that the healthcare system is overly complex, unneeded complexity remains commonplace and endangers the lives of patients, especially those with limited health literacy. In this article, we define health literacy and describe the empirical evidence associating health literacy and poor health outcomes. We recast the issue of poor health literacy from within the ethical perspective of the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   15 citations  
  36. Algorithmic Fairness and the Situated Dynamics of Justice.Sina Fazelpour, Zachary C. Lipton & David Danks - 2022 - Canadian Journal of Philosophy 52 (1):44-60.
    Machine learning algorithms are increasingly used to shape high-stake allocations, sparking research efforts to orient algorithm design towards ideals of justice and fairness. In this research on algorithmic fairness, normative theorizing has primarily focused on identification of “ideally fair” target states. In this paper, we argue that this preoccupation with target states in abstraction from the situated dynamics of deployment is misguided. We propose a framework that takes dynamic trajectories as direct objects of moral appraisal, highlighting three respects in (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   7 citations  
  37.  49
    Literacy and documentation in early medieval Russia.Simon Franklin - 1985 - Speculum 60 (1):1-38.
    With reference to medieval England M. T. Clanchy argues that “the growth in the uses of literacy [between 1066 and 1307] is indicated by, and was perhaps primarily a consequence of, the production and retention of records on an unprecedented scale.” That is, rather than view literacy as a step on the road to literature, to learning and high culture, Clanchy stresses the interrelationship between literacy and administrative practice. Writing creates the possibility of documentation; documentation brings more (...)
    No categories
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  38.  10
    Enhancing Arabic Literacy Skills in Indonesian Boarding Schools: Empirical Evidence of an Innovative Learning Model for Reading Religious Texts.Isop Syafei - 2023 - European Journal for Philosophy of Religion 15 (4):82-103.
    Arabic literacy skills are essential for Muslim learners to comprehend religious texts; however, when trying to improve these skills, students face numerous obstacles that require immediate attention. This study aims to develop and evaluate an Arabic learning model designed to enhance the capability of students in Indonesian boarding schools to read religious books. The research follows a three-stage approach: introductory study, model development, and model validation. The study takes place in Al-Jawami and Al-Falah boarding schools in West Java Province, (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  39. Algorithm Evaluation Without Autonomy.Scott Hill - forthcoming - AI and Ethics.
    In Algorithms & Autonomy, Rubel, Castro, and Pham (hereafter RCP), argue that the concept of autonomy is especially central to understanding important moral problems about algorithms. In particular, autonomy plays a role in analyzing the version of social contract theory that they endorse. I argue that although RCP are largely correct in their diagnosis of what is wrong with the algorithms they consider, those diagnoses can be appropriated by moral theories RCP see as in competition with their autonomy based theory. (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  40. The algorithm audit: Scoring the algorithms that score us.Jovana Davidovic, Shea Brown & Ali Hasan - 2021 - Big Data and Society 8 (1).
    In recent years, the ethical impact of AI has been increasingly scrutinized, with public scandals emerging over biased outcomes, lack of transparency, and the misuse of data. This has led to a growing mistrust of AI and increased calls for mandated ethical audits of algorithms. Current proposals for ethical assessment of algorithms are either too high level to be put into practice without further guidance, or they focus on very specific and technical notions of fairness or transparency that do not (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   14 citations  
  41.  46
    Literacy, authorship, and belief in medieval and renaissance Europe.Greg Walker - 1996 - The European Legacy 1 (8):2280-2283.
    Heresy and Literacy, 1000?1530. Edited by Peter Biller and Anne Hudson, Cambridge Studies in Medieval Literature 23 (Cambridge: Cambridge University Press, 1994), xxv + 293 pp., £37.50/$59.95 cloth. Literature, Politics and National Identity: Reformation to Renaissance. By Andrew Hadfield (Cambridge: Cambridge University Press, 1994), xvii + 261 pp., £35.00/$59.59 cloth. Early Cambridge Theatres: College, University, and Town Stages, 1464?1720. By Alan H. Nelson (Cambridge: Cambridge University Press, 1994), xiv + 179 pp., £35.00/$59.95 cloth.
    No categories
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  42. Disambiguating Algorithmic Bias: From Neutrality to Justice.Elizabeth Edenberg & Alexandra Wood - 2023 - In Francesca Rossi, Sanmay Das, Jenny Davis, Kay Firth-Butterfield & Alex John (eds.), AIES '23: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery. pp. 691-704.
    As algorithms have become ubiquitous in consequential domains, societal concerns about the potential for discriminatory outcomes have prompted urgent calls to address algorithmic bias. In response, a rich literature across computer science, law, and ethics is rapidly proliferating to advance approaches to designing fair algorithms. Yet computer scientists, legal scholars, and ethicists are often not speaking the same language when using the term ‘bias.’ Debates concerning whether society can or should tackle the problem of algorithmic bias are hampered (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  43.  10
    Pricing algorithms in oligopoly with decreasing returns.Jacques Thépot - 2021 - Theory and Decision 91 (4):493-515.
    Pricing algorithms are computerized procedures a seller may use to adapt instantaneously its price to market conditions, including to prices quoted by its rivals. These algorithms are related to the extensive use of web-collectors which contribute in many industries to identifying the best price. In such settings, price competition operates between algorithms, no longer between executives of brick and mortar companies. In this context, the question is to know how implicit forms of collusion may arise between the sellers. This paper (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  44.  29
    Algorithms as folding: Reframing the analytical focus.Robin Williams, Claes-Fredrik Helgesson, Lukas Engelmann, Jeffrey Christensen, Jess Bier & Francis Lee - 2019 - Big Data and Society 6 (2).
    This article proposes an analytical approach to algorithms that stresses operations of folding. The aim of this approach is to broaden the common analytical focus on algorithms as biased and opaque black boxes, and to instead highlight the many relations that algorithms are interwoven with. Our proposed approach thus highlights how algorithms fold heterogeneous things: data, methods and objects with multiple ethical and political effects. We exemplify the utility of our approach by proposing three specific operations of folding—proximation, universalisation and (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark   4 citations  
  45.  32
    Environmental Literacy and Educational Ideal.Andrew Brennan - 1994 - Environmental Values 3 (1):3 - 16.
    Environmental literacy is not encouraged by discipline-based education. Discipline-based education is damaging not only because it breaks the link between experience and theory but also because it encourages learners to believe that complex practical problems can be solved using the resources of just one or two specialist disciplines or frameworks of thought. It is argued that discipline-based education has been extremely successful, and its very success is a factor which explains some of our poor thinking about environmental problems. These (...)
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  46. Ameliorating Algorithmic Bias, or Why Explainable AI Needs Feminist Philosophy.Linus Ta-Lun Huang, Hsiang-Yun Chen, Ying-Tung Lin, Tsung-Ren Huang & Tzu-Wei Hung - 2022 - Feminist Philosophy Quarterly 8 (3).
    Artificial intelligence (AI) systems are increasingly adopted to make decisions in domains such as business, education, health care, and criminal justice. However, such algorithmic decision systems can have prevalent biases against marginalized social groups and undermine social justice. Explainable artificial intelligence (XAI) is a recent development aiming to make an AI system’s decision processes less opaque and to expose its problematic biases. This paper argues against technical XAI, according to which the detection and interpretation of algorithmic bias can (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  47. Algorithms, Manipulation, and Democracy.Thomas Christiano - 2022 - Canadian Journal of Philosophy 52 (1):109-124.
    Algorithmic communications pose several challenges to democracy. The three phenomena of filtering, hypernudging, and microtargeting can have the effect of polarizing an electorate and thus undermine the deliberative potential of a democratic society. Algorithms can spread fake news throughout the society, undermining the epistemic potential that broad participation in democracy is meant to offer. They can pose a threat to political equality in that some people may have the means to make use of algorithmic communications and the sophistication (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   6 citations  
  48. Physical literacy: Philosophical considerations in relation to developing a sense of self, universality and propositional knowledge.Margaret Whitehead - 2007 - Sport, Ethics and Philosophy 1 (3):281 – 298.
    This paper opens with a presentation of the philosophical underpinning and rationale of the concept of physical literacy. This is followed by an articulation of the concept of physical literacy. Three subsequent sections then consider aspects of the concept in a little more detail. The first investigates the relationship of the physical literacy to the development of a sense of self and to establishing interaction with others. Here the philosophical approach is informed by writings on cognitive development (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   9 citations  
  49. On statistical criteria of algorithmic fairness.Brian Hedden - 2021 - Philosophy and Public Affairs 49 (2):209-231.
    Predictive algorithms are playing an increasingly prominent role in society, being used to predict recidivism, loan repayment, job performance, and so on. With this increasing influence has come an increasing concern with the ways in which they might be unfair or biased against individuals in virtue of their race, gender, or, more generally, their group membership. Many purported criteria of algorithmic fairness concern statistical relationships between the algorithm’s predictions and the actual outcomes, for instance requiring that the rate of (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   46 citations  
  50.  14
    Algorithmic anxiety: Masks and camouflage in artistic imaginaries of facial recognition algorithms.Willem Schinkel & Patricia de Vries - 2019 - Big Data and Society 6 (1).
    This paper discusses prominent examples of what we call “algorithmic anxiety” in artworks engaging with algorithms. In particular, we consider the ways in which artists such as Zach Blas, Adam Harvey and Sterling Crispin design artworks to consider and critique the algorithmic normativities that materialize in facial recognition technologies. Many of the artworks we consider center on the face, and use either camouflage technology or forms of masking to counter the surveillance effects of recognition technologies. Analyzing their works, (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark   1 citation  
1 — 50 / 960