Ficha técnica libro “Bioética para niños y niñas”

Publicado por Editorial Porrúa

en colaboración con la Facultad de Bioética de la Universidad Anáhuac, Mexico

Bioética para niños y niñas es un libro donde tres personajes: Alex, Horacio y Abigail nos enseñan de forma ágil y divertida que la bioética se encarga de proteger la vida de las personas y de todos los seres vivos, así como los derechos de los niños y las niñas a tener una vida feliz, a vivir con valores, a actuar con justicia y a hacer el bien. A respetar la vida y la dignidad de las personas y la vida de todos los seres vivos, además de cuidar el medio ambiente y nuestro planeta.

Es un libro dirigido a niños de 8 a 12 años aproximadamente y en él se abordan temas en forma de narrativa como: qué es la bioética, qué significa ser persona, qué es la dignidad, los derechos de los niños, los valores, cuáles son los principios de la bioética, vida y medio ambiente, bioética en acción  donde nos enseñan cómo aplicarla en la vida diaria.

Al final contiene una serie de actividades y ejercicios que los niños podrán realizar para reafirmar los conocimientos adquiridos.

https://porrua.mx/bioetica-para-ninos-y-ninas-9786070928857.html

Ficha técnica libro “Cuéntame de Bioética”

Publicado en Amazon por  la Cátedra Bioética para Todos

de la Universidad Anahuac

en colaboración con la UNESCO Chair in Bioethics and Human Rights, Roma, Italia

Cuéntame de Bioética es un libro que describe la historia de varios niños de distintas nacionalidades, Gina de España, Kenji de Japón, Yoli de México, Daren de Kenia, Naya de la India y Tomy de Estados Unidos,  que junto con el profesor Aurelio descubren lo que significa la bioética y cómo se puede aplicar a su vida diaria.

Es un libro, en formato de cuento con diálogos,  dirigido a niños de 6 a 8 años aproximadamente y en él se abordan temas como qué es la bioética, la dignidad, el inicio de la vida, los derechos de los niños, los valores, el cuidado de las personas y de los animales, el respeto y cuidado del medioambiente, todos estos temas tratados a través de una historia ágil, sencilla y entendible para los pequeños.

Dr. Dominique J. Monlezun received the Microsoft Award for Artificial Intelligence Doctoral Dissertation

From 26 to 28 February some members of the UNESCO Chair in Bioethics and Human Rights participated in the General Assembly on Artificial Intelligence organized by the Pontifical Academy for Life, Vatican City.

After two days of workshops focused on the importance to the challenges in the fields of ethics, law and health regarding the AI, on February 28th during the final conference entitled “RenAIssance A Human-Centric Artificial Intelligence” our research scholar Dominique J. Monlezun Jr. received the Microsoft Award for Artificial Intelligence Doctoral Dissertation at the presence of the President of Microsoft (USA), Smith Brad and the Executive Vice-president of IBM, Kelly III John.

On June the 25th Dr. Dominique J. Monlezun Jr. publicly defended at the Pontifical Athenaeum Regina Apostolurum, Rome, his doctoral thesis “Artificial intelligence & bioethics: Thomistic-Aristotelian personalist refinement of the United Nations’ social contract view of rights-duties in AI-genetic engineered nanotechnology from overlapping to converging consensus”. The doctoral thesis Director was Prof. Alberto Garcia. 

 

Dr. Dominique J. Monlezun argues that ““if we have no peace it is because we have forgotten that we belong to each other” (Therese 1997).[i] Wojtyla and Teresa embodied a Thomistic metaphysics that is philosophically defensible and politically convincing by witnessing a common experiential encounter with the good, as personal as it is real. This work has sought to describe and apply this model to AI-GNR to understand its cataclysmic implications, the failure of the liberal social contract ethics alone to address them, and the unifying soundness of Thomistic personalism to do just that by establishing the anthropological consistency, political effectiveness, and philosophical robustness of a Thomistic personalist elucidation of a defensible UDBHR and UDHR-detailed human rights and duties paradigm.”

After, the “Call for an AI Ethics” was signed by Pontifical Academy for Life, Microsoft, IBM, FAO, the Italian Government. It is a document “developed to support an ethical approach to Artificial Intelligence and promote a sense of responsibility among organizations, governments and institutions with the aim to create a future in which digital innovation and technological progress serve human genius and creativity and not their gradual replacement.” (source: PAV).

 

 

 

 

[i] MOTHER THERESE, “Reflections on working toward peace,” (Santa Clara University, n.d.), https://legacy.scu.edu/ethics/architects-of-peace/teresa/essay.html. Dahlburg, John-Thor. “Mother Teresa, 87, Dies; Devoted Her Life to Poor.” Los Angeles Times; 1997. http://articles.latimes.com/1997/sep/06/news/mn-29425.

 

 

 

The challenges of Artificial Intelligence in healthcare

by Claudia Fini

Artificial intelligence (AI) aims to reproduce human intellectual faculties in artificial systems to be employed in a variety of fields, from communication networks and services to medicine and healthcare. The development of AI technologies is well described in its potential to lead to substantial improvements in wellbeing and economic growth however, in order to successfully realize this vision, fundamental questions on AI ethics need to be answered first. One of the most arduous challenges of arriving to a fully functional integration of digital services and human life is to take human rights as a starting point for the formulation of policies and guidelines while also offering a unique environment for innovation. In the medical sector, artificial intelligence (AI) systems have gradually emerged as potentially powerful tools to be employed in disease diagnosis and management, mimicking and perhaps even augmenting the clinical thought and decision-making of human physicians. These innovations could not only lead to improved forms of diagnosis and treatment but also to reduced medical expenses which could play an especially important role in countries were access to healthcare is limited by social and economic factors. For both human physicians and AI systems, patients’ data are the most important starting element.

To formulate a diagnosis, physicians frequently use hypotheticodeductive reasoning, starting with the chief complaint and with appropriately targeted questions related to that complaint. After this initial phase, the physician proceeds to investigate secondary or surrounding areas such as familial history, previous physical exam findings, laboratory testing, and/or imaging studies to rule in or rule out the diagnosis. The entire diagnostic process requires time and extensive data but, if automized with machine learning to extract clinically relevant features, it could be temporally and logistically simplified. A first example is represented by a commonly used technique for drug delivery to cerebral parenchyma. Magnetic particles are injected in the brain tissue and warmed with the use of the magnetic radiation, an operation that allows the burning of specific tumoral areas. The intensity of the magnetic field can be calculated using model-based algorithms, but large volumes of training data needs to be provided in order to determine how these values can be affected by individual variables. Despite their usefulness, operations such as these are not only time expensive but also highly energy intensive. In a recent study, researchers at the University of Massachusetts, Amherst, calculated the time/energy relationship for training several common large AI models. They found that the process can emit more than 626,000 pounds of CO2 which equates approximately to five times the lifetime emissions of the average American car (and that includes manufacture of the car itself). The environmental impact of AI is only one of the many ethical issues associated with the development of intelligent forms of technology: careful evaluation must be designed so that costs for AI do not overshoot its performance, both in terms of energy but most importantly in terms of human identity.

Valuable lessons on the integration between human attributes and technological innovations can be taken from the experience of Da Vinci, an advanced robotic system for minimally invasive surgery, employed in a verity of medical areas, from urology to gynaecology and general surgery. Physical robots similar to those used in industries around the world have been implemented in the medical sector since the early 2000’s. Contrarily to industrial robots however, typically performing single and pre-defined actions like lifting, rotating or cutting objects, medical robots are able to perform more sophisticated and precise tasks that overshoot human precision. They are also becoming more intelligent, as other AI capabilities are being embedded in their operating systems. In Da Vinci, the surgeon is located at a physical distance from the operating field, controlling the robotic arms of the surgical system through monitors and controllers connected to the endoscopic instruments. From a strictly practical analysis, this operation drastically reduces typical “human-errors” due to hand tremors but, from a social perspective, the extensive and ever-perfecting use of these intelligent instruments may lead to (1) a progressive loss of physical and emotional contact between the patient and the doctor and (2) an immediate decline of the creative freedoms of the surgeon.

A first attempt aimed at the restoration of the surgeon’s sensory control over the machine was recently offered by a new generation of robotic arms developed to provide what is known as haptic feedback. A haptic feedback is an advanced pattern of vibration and waveforms conveying tactile information on the instrument’s movements. An everyday common example of haptic feedback is the resistance felt on the steering wheel of new generation cars when immediate danger is identified. When implemented to surgical robots, this sensory information is conveyed as a resistance on the instrument controller as the robotic arms advance inside the operated structure. This feedback is aimed at providing additional guidance to the surgeon’s movements thus preventing unwanted damage to vital tissues. Such novel integrations between human sensory skills and technology’s precision, between mechanical touching and human feeling does not only returns some degree or creative control to the surgeon but it also considerably improves surgical performances compared to those performed without haptic feedback.

The development of artificial intelligence technologies should thus not run isolated and independent from the societal landscape but rather align closely with human needs and intellectual faculties and their limitations. Observations on the role of men and women in the contemporaneity of the digital age should in fact be made in the very first stages of the design of AI services to obtain not only better performing systems but also their ethical advancement in the respect of human rights and values.