El problema de los conflictos normativos ha constituido uno de los principales obstáculos para un tratamiento lógico-formal de los razonamientos jurídicos. Una de las recientes estrategias para abordar esta cuestión se apoya en las lógicas no-monotónicas desarrolladas en el ámbito de la Inteligencia Artificial con el fin de representar el razonamiento común. Sin embargo, un análisis en detalle nos llevará a cuestionar este enfoque.

Interview with Philip Brey in which he clarifies and exemplifies the concept of ‘socially disruptive technology’, offering a series of key aspects for its present and future analysis from the disciplinary perspective of technology ethics. Philip Brey is Professor of Philosophy of Technology at the Department of Philosophy at the University of Twente. He has been a keynote speaker of the International Workshop on Controversies and Polarization on Disruptive Technologies, that took place virtually and in Granada, on October 5th and (...) 6th 2020. His key-talk was titled “Disruptive Technologies: Social, Moral and Ontological Consequences”. (shrink)

Hay dos tipos de bienes y derechos: de bienestar y de libertad. Los primeros, irrenunciables, acarrean deberes positivos, de dar o hacer. Los derechos de libertad, en cambio, sólo imponen a otros deberes negativos, dejando a su titular libre para ejercerlos o no según quiera. Sostenemos que el derecho a la vida es un derecho de libertad. De ahí se sigue que no es obligatorio aceptar el don de la vida salvo cuando el ordenamiento permite a los progenitores presumir el (...) futuro consentimiento retroactivo del nuevo ser humano por nacer. Cuando las circunstancias hagan irrazonable tal presunción, es ilícita toda acción causal que contribuya a ese nacimiento salvo únicamente la acción voluntaria y libre de la madre de no abortar —por ser ése un derecho suyo. Matizamos nuestra teoría y la articulamos en un enfoque gradualista que da cuenta de la existencia de conflictos jurídicos. (shrink)

7 pages.-- Delivered to: 5th International Conference on Argumentation, The International Society for the Study of Argumentation, University of Amsterdam, 25-28 June 2002.

Various research groups with ongoing projects in the areas of personal data protection, reuse of public sector information and open data organised a seminar on October 29, 2020, on reuse and big data in the field of health in which researchers, managers and policymakers from different disciplines participated. Starting from the premise of the special importance that access to health data has as a resource for research, management and development of health products, treatments and interventions and, at the same time, (...) its consideration as a special category of data that is particularly sensitive, private and protected, this document seeks to systematise the main conclusions reached. (shrink)

El problema de los conflictos normativos ha constituido uno de los principales obstáculos para un tratamiento lógico-formal de los razo namientos jurídicos. Una de las recientes estrategias para abordar esta cuestión se apoya en las lógicas no-monotónicas desarrolladas en el ámbito de la Inteligencia Artificial con el fin de representar el razona miento común. Sin embargo, un análisis en detalle nos llevará a cuestio nar este entoque.

The application of Artificial Intelligence (AI) in healthcare and epidemiology undoubtedly has many benefits for the population. However, due to its environmental impact, the use of AI can produce social inequalities and long-term environmental damages that may not be thoroughly contemplated. In this paper, we propose to consider the impacts of AI applications in medical care from the One Health paradigm and long-term global health. From health and environmental justice, rather than settling for a short and fleeting green honeymoon between (...) health and sustainability caused by AI, it should aim for a lasting marriage. To this end, we conclude by proposing that, in the upcoming years, it could be valuable and necessary to promote more interconnected health, call for environmental cost transparency, and increase green responsibility. (shrink)

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 (...) tracing and medical triage or risk prediction regarding COVID-19 were included. From 1054 identified articles, 20 studies were finally included. We propose a typology of biases identified in the literature based on bias, limitations and other ethical issues in both areas of analysis. Results on health disparities and SDOH were classified into five categories: racial disparities, biased data, socio-economic disparities, unequal accessibility and workforce, and information communication. SDOH needs to be considered in the clinical context, where they still seem underestimated. Epidemiological conditions depend on geographic location, so the use of local data in studies to develop international solutions may increase some biases. Gender bias was not specifically addressed in the articles included. The main biases are related to data collection and management. Ethical problems related to privacy, consent, and lack of regulation have been identified in contact tracing while some bias-related health inequalities have been highlighted. There is a need for further research focusing on SDOH and these specific AI apps. (shrink)

The increasing application of artificial intelligence (AI) to healthcare raises both hope and ethical concerns. Some advanced machine learning methods provide accurate clinical predictions at the expense of a significant lack of explainability. Alex John London has defended that accuracy is a more important value than explainability in AI medicine. In this article, we locate the trade-off between accurate performance and explainable algorithms in the context of distributive justice. We acknowledge that accuracy is cardinal from outcome-oriented justice because it helps (...) to maximize patients’ benefits and optimizes limited resources. However, we claim that the opaqueness of the algorithmic black box and its absence of explainability threatens core commitments of procedural fairness such as accountability, avoidance of bias, and transparency. To illustrate this, we discuss liver transplantation as a case of critical medical resources in which the lack of explainability in AI-based allocation algorithms is procedurally unfair. Finally, we provide a number of ethical recommendations for when considering the use of unexplainable algorithms in the distribution of health-related resources. (shrink)

To assess—from a qualitative perspective—the perceptions and attitudes of Spanish rehabilitation professionals (e.g. rehabilitation doctors, speech therapists, physical therapists) about Brain–Computer Interface (BCI) technology. A qualitative, exploratory and descriptive study was carried out by means of interviews and analysis of textual content with mixed generation of categories and segmentation into frequency of topics. We present the results of three in-depth interviews that were conducted with Spanish speaking individuals who had previously completed a survey as part of a larger, 3-country/language, survey (...) on BCI perceptions. 11 out of 15 of these Spanish respondents (survey) either strongly or somewhat accept the use of BCI in rehabilitation therapy. However, the results of our three in-depth interviews show how, due to a strong inertia of attitudes and perceptions about BCI technology, most professionals feel reluctant to use BCI technology in their daily practice (interview). (shrink)

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 (...) that may be less considered when addressing biases in AI systems in the existing literature. In the manuscript, we found that the existence of bias in AI systems used for COVID-19 can result in algorithmic justice and that the legal frameworks and strategies developed to prevent the apparition of bias have failed to adequately consider social determinants of health. Finally, we make some recommendations on how to include more diverse professional profiles in order to develop AI systems that increase the epistemic diversity needed to tackle AI biases during the COVID-19 pandemic and beyond. (shrink)

This study compares cognitive and emotional responses to 360-degree vs. static (2D) videos in terms of visual attention, brand recognition, engagement of the prefrontal cortex, and emotions. Hypotheses are proposed based on the interactivity literature, cognitive overload, advertising response model and motivation, opportunity, and ability theoretical frameworks, and tested using neurophysiological tools: electroencephalography, eye-tracking, electrodermal activity, and facial coding. The results revealed that gaze view depends on ad content, visual attention paid being lower in 360-degree FMCG ads than in 2D (...) ads. Brand logo recognition is lower in 360-degree ads than in 2D video ads. Overall, 360-degree ads for durable products increase positive emotions, which carries the risk of non-exposure to some of the ad content. In testing four ads for durable goods and fast-moving consumer goods (FMCG) this research explains the mechanism through which 360-degree video ads outperform standard versions. (shrink)

The use of visual attention for evaluating consumer behavior has become a relevant field in recent years, allowing researchers to understand the decision-making processes beyond classical self-reports. In our research, we focused on using eye-tracking as a method to understand consumer preferences in children. Twenty-eight subjects with ages between seven and twelve years participated in the experiment. Participants were involved in two consecutive phases. The initial phase consisted of the visualization of a set of stimuli for decision-making in an eight-position (...) layout called Alternative Forced-choice. Then the subjects were asked to freely analyze the set of stimuli, they needed to choose the best in terms of preference. The sample was randomly divided into two groups balanced by gender. One group visualized a set of icons and the other a set of toys. The final phase was an independent assessment of each stimulus viewed in the initial phase in terms of liking/disliking using a 7-point Likert scale. Sixty-four stimuli were designed for each of the groups. The visual attention was measured using a non-obstructive eye-tracking device. The results revealed two novel insights. Firstly, the time of fixation during the last 4 visits to each stimulus before the decision-making instant allows us to recognize the icon or toy chosen from the eight alternatives with a 71.2% and 67.2% of accuracy respectively. The result supports the use of visual attention measurements as an implicit tool to analyze decision-making and preferences in children. Secondly, eye movement and the choice of liking/disliking choice are influenced by stimuli design dimensions. The icon observation results revealed how gender samples have different fixation and different visit times which depend on stimuli design dimension. The toy observations results revealed how the materials determinate the largest amount fixations, also, the visit times were differentiated by gender. This research presents a relevant empirical data to understand the decision-making phenomenon by analyzing eye movement behavior. The presented method can be applied to recognize the choice likelihood between several alternatives. Finally, children's opinions represent an extra difficulty judgment to be determined, and the eye-tracking technique seen as an implicit measure to tackle it. (shrink)

Los autores de esta obra dedicada a la compilación y comentario de las concepciones de la guerra existentes en nuestra historia de la filosofía son conscientes de que ninguna filosofía podría dar una definición de qué sea la guerra, cuáles sean sus causas, sus justificaciones o bajo qué concepción de la naturaleza humana cabe explicar este fenómeno o cuál sea el papel jugado por los Estados sin que, para ello, ponga la filosofía en juego todas las dimensiones que la componen: (...) desde la política, la metafísica, la ética, el derecho, etc. presentes en su devenir histórico. Esto es lo mismo que decir que la filosofía sólo puede dar una respuesta compleja y plural a la pregunta acerca de qué sea la guerra y de cómo llega a producirse ésta. Complejidad y pluralidad que hacen aconsejable un seguimiento histórico de las concepciones mismas de la guerra, y aunque no esté en boga hacer uso de este tipo de seguimientos que examinan, implícitamente, a la filosofía en su historia misma, qué duda cabe, por otra parte –y vaya ello en defensa de esta inteligente compilación–, de que también estamos hoy día recuperados de esa visión peyorativa de la historia, precisamente porque la pluralidad y complejidad de los planteamientos o concepciones de este fenómeno han de ser estudiados en el conjunto de la historia o historias: un futuro pasado, como diría Reinhart Koselleck, a cuyo examen estamos todos convocados. (shrink)