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  1.  22
    Bias in algorithms of AI systems developed for COVID-19: A scoping review.Janet Delgado, Alicia de Manuel, Iris Parra, Cristian Moyano, Jon Rueda, Ariel Guersenzvaig, Txetxu Ausin, Maite Cruz, David Casacuberta & Angel Puyol - 2022 - Journal of Bioethical Inquiry 19 (3):407-419.
    To analyze which ethically relevant biases have been identified by academic literature in artificial intelligence algorithms developed either for patient risk prediction and triage, or for contact tracing to deal with the COVID-19 pandemic. Additionally, to specifically investigate whether the role of social determinants of health have been considered in these AI developments or not. We conducted a scoping review of the literature, which covered publications from March 2020 to April 2021. ​Studies mentioning biases on AI algorithms developed for contact (...)
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  2.  24
    Justificatory explanations in machine learning: for increased transparency through documenting how key concepts drive and underpin design and engineering decisions.David Casacuberta, Ariel Guersenzvaig & Cristian Moyano-Fernández - 2024 - AI and Society 39 (1):279-293.
    Given the pervasiveness of AI systems and their potential negative effects on people’s lives (especially among already marginalised groups), it becomes imperative to comprehend what goes on when an AI system generates a result, and based on what reasons, it is achieved. There are consistent technical efforts for making systems more “explainable” by reducing their opaqueness and increasing their interpretability and explainability. In this paper, we explore an alternative non-technical approach towards explainability that complement existing ones. Leaving aside technical, statistical, (...)
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  3. Ethical assessments and mitigation strategies for biases in AI-systems used during the COVID-19 pandemic.Alicia De Manuel, Janet Delgado, Parra Jonou Iris, Txetxu Ausín, David Casacuberta, Maite Cruz Piqueras, Ariel Guersenzvaig, Cristian Moyano, David Rodríguez-Arias, Jon Rueda & Angel Puyol - 2023 - Big Data and Society 10 (1).
    The main aim of this article is to reflect on the impact of biases related to artificial intelligence (AI) systems developed to tackle issues arising from the COVID-19 pandemic, with special focus on those developed for triage and risk prediction. A secondary aim is to review assessment tools that have been developed to prevent biases in AI systems. In addition, we provide a conceptual clarification for some terms related to biases in this particular context. We focus mainly on nonracial biases (...)
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  4.  31
    E-Science and the data deluge.David Casacuberta & Jordi Vallverdú - 2014 - Philosophical Psychology 27 (1):1-15.
    This paper attempts to show how the “big data” paradigm is changing science through offering access to millions of database elements in real time and the computational power to rapidly process those data in ways that are not initially obvious. In order to gain a proper understanding of these changes and their implications, we propose applying an extended cognition model to the novel scenario.
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  5.  10
    The panic room: on synthetic emotions.David Casacuberta - 2008 - In P. Brey, A. Briggle & K. Waelbers (eds.), Current Issues in Computing and Philosophy. IOS Press. pp. 175--103.
  6.  12
    Presentación de la sección sobre Inteligencia artificial, datos y objetividad. ¿El regreso del naturalismo dataísta?Ariel Guersenzvaig & David Casacuberta - 2023 - Daimon: Revista Internacional de Filosofía 90:7-12.
    Presentation of the section on Artificial Intelligence, Data and Objectivity: The Return of Data Naturalism? in the Monograph on Artificial Intelligence of Daimon - International Journal of Philosophy. Nº 90 (September - December 2023). Presentación de la sección sobre Inteligencia artificial, datos y objetividad. ¿El regreso del naturalismo dataista? en el Monográfico sobre Inteligencia Artificial de Daimon - Revista Internacional de Filosofía. Nº 90 (septiembre - Diciembre 2023).
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  7.  48
    Contributions of Socially Distributed Cognition to Social Epistemology: The Case of Testimony.Anna Estany & David Casacuberta - 2012 - Eidos: Revista de Filosofía de la Universidad Del Norte 16:40-68.
    El objetivo de este artículo es analizar y revisar las normas que filosóficamente asociamos al proceso de testimonio, inquiriendo hasta qué puntoson0 consistentes con los conocimientos empíricos de las ciencias cognitivas.Tradicionalmente, el problema del testimonio surgía cuando, desde una epistemología de corte individualista, se suponía, siguiendo el dictum ya marcado en la Modernidad tanto por racionalistas como por empiristas, de que el conocimiento debía ser testado personalmente. Sin embargo, disciplinas y enfoques recientes, como la Cognición Socialmente Distribuida y la Epistemología (...)
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  8.  7
    Actualidad de la concepción cartesiana de las emociones.David Casacuberta - 2016 - Enrahonar: Quaderns de Filosofía 1:169.
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  9.  13
    Convergencia de experimento y teoría en los procesos de invención e innovación.David Casacuberta & Anna Estany - 2019 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 34 (3):373-387.
    Este artículo parte del debate en filosofía de la ciencia entre la tradición teórica y la experimental, y muestra su relación con el estudio de los procesos de innovación e invención en ciencia, cruzando así los planteamientos de análisis más teóricos de la filosofía de la ciencia con cuestiones más relacionadas con la filosofía de la tecnología y la ciencia aplicada. De esta manera, analizamos la interrelación entre experimento y teoría en los procesos de invención e innovación y conectamos los (...)
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  10.  19
    Do we need new rights in Cyberspace?David Casacuberta & Max Senges - 2008 - Enrahonar: Quaderns de Filosofía 40 (41):99-111.
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  11.  6
    Presentació. Trenta anys d’Enrahonar, Orient i Occident.David Casacuberta - 2011 - Enrahonar: Quaderns de Filosofía 47:7.
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  12.  9
    Reencuentros más allá de las etiquetas.David Casacuberta - 2011 - Enrahonar: Quaderns de Filosofía 47:221-228.
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  13.  6
    Summary.David Casacuberta - 2011 - Enrahonar: Quaderns de Filosofía 47:1.
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  14.  39
    Using Dreyfus’ legacy to understand justice in algorithm-based processes.David Casacuberta & Ariel Guersenzvaig - 2019 - AI and Society 34 (2):313-319.
    As AI is linked to more and more aspects of our lives, the need for algorithms that can take decisions that are not only accurate but also fair becomes apparent. It can be seen both in discussions of future trends such as autonomous vehicles or the issue of superintelligence, as well as actual implementations of machine learning used to decide whether a person should be admitted in certain university or will be able to return a credit. In this paper, we (...)
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  15.  56
    DJ el Niño: expressing synthetic emotions with music. [REVIEW]David Casacuberta - 2004 - AI and Society 18 (3):257-263.
    The purpose of this work is twofold: (1) to present an artistic experiment on how to use artificial intelligence to develop a “different kind” of DJ, and (2) to test a cognitive model on how music expresses emotions. Based on a former model conceived by the author, electronic music loops were tagged according to the type and intensity of the expressed emotion. Then, using a feedback model, an artificial personality was arranged, which was affected by the music and played the (...)
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  16.  39
    La diversidad de las emociones. [REVIEW]David Casacuberta - 1997 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 12 (3):595-597.
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