Jordi Vallverdú Segura

This paper provides a comprehensive exploration of the transformative role of generative AI models, specifically Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), in the realm of medical diagnosis. Drawing from the philosophy of medicine and epidemiology, the paper examines the technical, ethical, and philosophical dimensions of integrating generative models into healthcare. A case study featuring Emily underscores the pivotal support generative AI can offer in complex medical diagnoses. The discussion extends to the application of GANs and VAEs in medical imaging, emphasizing their potential in improving diagnostics, treatment planning, and medical research. The paper further delves into challenges and controversies, addressing issues of anatomical accuracy, biases in training data, interpretability of AI-generated medical images, and ethical considerations, for example, the phenomenon of "Dr. Google" and its implications for self-diagnosis, particularly in the context of the increasing role of generative AI models in healthcare. The concluding section emphasizes the need for health literacy, responsible use of online information, and collaborative decision-making between patients and healthcare providers. We advocate for interdisciplinary collaborations to establish ethical guidelines and ensure responsible AI use in healthcare.

It seems obvious to think that neuroscientific advances, a revolution at the end of the 20th century, have had an impact on Contemporary Philosophy. However, this is not the case. As a discipline composed of numerous areas, it is still anchored in anthropological, cultural, epistemological and cognitive models of previous centuries (and even millennia). We will review what the real impact of neurosciences has been on contemporary thought, from a critical perspective and oriented not only to the study of the human being, but also of AI.

Los códigos éticos humanos no son coherentes en su diseño ni tampoco tienen una distribución universal. Por lo tanto, la imposible universalidad ni completitud de los sistemas éticos para la inteligencia artificial es algo evidente que tan sólo fue apuntado someramente por el estudio reciente del MIT. Al tener toda ética un matiz cultural inequívoco, y también incluir grados de interpretación en sus principios. Al mismo tiempo se produce un problema formal: un sistema de IA no siempre cuenta con suficientes datos ni tiempo óptimo para procesar una situación, por lo que un factor de azar ético debe tenerse en cuenta en el diseño de tales sistemas.

Causality is the most important topic in the history of western science, and since the beginning of the statistical paradigm, its meaning has been reconceptualized many times. Causality entered into the realm of multi-causal and statistical scenarios some centuries ago. Despite widespread critics, today deep learning and machine learning advances are not weakening causality but are creating a new way of finding correlations between indirect factors. This process makes it possible for us to talk about approximate causality, as well as about a situated causality.

The central concept of this edited volume is "blended cognition", the natural skill of human beings for combining constantly different heuristics during their several task-solving activities. Something that was sometimes observed like a problem as “bad reasoning”, is now the central key for the understanding of the richness, adaptability and creativity of human cognition. The topic of this book connects in a significant way with the disciplines of psychology, neurology, anthropology, philosophy, logics, engineering, logics, and AI. In a nutshell: understanding better humans for designing better machines. It contains a Preface by the editors and 12 chapters.

Considering the current advancements in biometric sensors and other related technologies, as well as the use of bio-inspired models for AI improvements, we can infer that the swarm intelligence paradigm can be implemented in human daily spheres through the connectivity between user gadgets connected to the Internet of Things. This is a first step towards a real Ambient Intelligence, but also of a Global Intelligence. This unconscious connectivity may alter the way by which we feel the world. Besides, with the arrival of new augmented ways of capturing and providing information or radical new ways of expanding our bodies, we can be very close to a change which may radically affect our experience of ourselves and of the feeling of collectivity. We call it the techno-phenomenological turn. We show social implications, present challenges, and and open questions for the new kind of swarm intelligence-enhanced society, and provide the taxonomy of the field of study. We will also explore the possible roadmaps of this next possible situation.

El papel de las emociones en los procesos de toma de decisiones racionales es un hecho demostrado. Al mismo tiempo, el paradigma de la mente extensa resulta útil en el planteamiento de los mecanismos cognitivos implícitos en la ciencia moderna, una e-ciencia altamente computerizada y robotizada, con múltiples elementos procedentes de la Inteligencia Artificial. Por ello, el análisis de modos eficientes de interacción entre seres humanos y entidades artificiales pasa por el estudio de las emociones sintéticas, desde la idea de los robots sociales o los entornos afectivos. El presente artículo analiza estos fenómenos y plantea una pionera propuesta de desarrollo de las investigaciones en esta área.

En los inicios del siglo XXI está desarrollándose una e-ciencia, una ciencia electrónica y altamente computarizada que exige un replanteamiento sobre la epistemología científica. A través del ejemplo de la Bioinformática y las Biotecnologías, el autor muestra algunas características de esta nueva e-ciencia e indica algunos de los problemas con los que deben enfrentarse los filósofos de la ciencia contemporáneos. Right at the beginning of the 21st century an e-Science is emerging, a highly computerized electronic science which demands a new way of understanding scientific epistemology. Through Bioinformatics and Biotechnologies, the author analyzes some of the characteristics of this new e-Science and shows several problems which contemporary philosophers of science must face

With the title “Philosophy and Cognitive Science: Western and Eastern Studies,” the average reader can expect to find at least three things: a book on the main relationships between cognitive science and philosophy, a text that compares the academic research on cognitive science in Western contexts with Eastern contexts , and finally a significant representation of main Western and Eastern countries, at least those participating in contemporary research. Astonishingly none of these three aspects can be found reading this book. The anthology has a basic and recurring topic, abduction, with a special emphasis on co-editor Magnani’s contributions to the field, although some chapters go beyond this sphere. All the quoted authors and book references belong to the Western bibliographical corpus. Despite being the result of a conference held in Guangzhou, China, the book does not represent the main views of b ..

Contemporary sciences use a wide and diverse range of computational simulations, including in the areas of aeronautics, chemistry, bioinformatics, social sciences, AI, the physics of elementary particles and most other scientific fields. A simulation is a mathematical model that describes or creates computationally a system process. Simulations are our best cognitive representation of complex reality, that is, our deepest conception of what reality is. In this paper we defend that a simulation is equivalent epistemologically and ontologically with all other types of cognitive models of elements of reality. Therefore, simulations cannot be considered secondary nor weak instruments to approach to the reality analysis.

En los inicios del siglo XXI está desarrollándose una e-ciencia, una ciencia electrónica y altamente computarizada que exige un replanteamiento sobre la epistemología científica. A través del ejemplo de la Bioinformática y las Biotecnologías, el autor muestra algunas características de esta nueva e-ciencia e indica algunos de los problemas con los que deben enfrentarse los filósofos de la ciencia contemporáneos. Right at the beginning of the 21st century an e-Science is emerging, a highly computerized electronic science which demands a new way of understanding scientific epistemology. Through Bioinformatics and Biotechnologies, the author analyzes some of the characteristics of this new e-Science and shows several problems which contemporary philosophers of science must face.