The history of humankind is full of examples that indicate a constant desire to make human beings more moral. Nowadays, technological breakthroughs might have a significant impact on our moral character and abilities. This is the case of Virtual Reality (VR) technologies. The aim of this paper is to consider the ethical aspects of the use of VR in enhancing empathy. First, we will offer an introduction to VR, explaining its fundamental features, devices and concepts. Then, we will approach the characterization of VR as an “empathy machine,” showing why this medium has aroused so much interest and why, nevertheless, we do not believe it is the ideal way to enhance empathy. As an alternative, we will consider fostering empathy-related abilities through virtual embodiment in avatars. In the conclusion, however, we will examine some of the serious concerns related to the ethical relevance of empathy and will defend the philosophical case for a reason-guided empathy, also suggesting specific guidelines for possible future developments of empathy enhancement projects through VR embodied experiences.

In their recent article, Brown et al analyse several ethical aspects around immunity passports and put forward some recommendations for implementing them. Although they offer a comprehensive perspective, they overlook two essential aspects. First, while the authors consider the possibility that immunological passports may appear to discriminate against those who do not possess them, the opposite viewpoint of immune people is underdeveloped. We argue that if a person has been tested positive for and recovered from COVID-19, becoming immune to it, she cannot be considered a hazard to public health and, therefore, the curtailment of her fundamental rights (eg, the right to freedom of movement) is not legitimate. Second, they omit that vaccine distribution will create similar problems related to immunity-based licenses. Vaccine certificates will de facto generate a sort of immunity passport. In the next phases of the pandemic, different immunity statuses will be at stake, because the need to identify who can spread COVID-19 is unavoidable. If a person does not pose a threat to public health because she cannot spread the infection, then her right to freedom of movement should be respected, regardless of how she acquired that immunity.

To analyze which ethically relevant biases have been identified by academic literature in artificial intelligence (AI) 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 (SDOH) 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.

Ageism has unfortunately become a salient phenomenon during the COVID-19 pandemic. In particular, triage decisions based on age have been hotly discussed. In this article, I first defend that, although there are ethical reasons (founded on the principles of benefit and fairness) to consider the age of patients in triage dilemmas, using age as a categorical exclusion is an unjustifiable ageist practice. Then, I argue that ageism during the pandemic has been fueled by media narratives and unfair assumptions which have led to an ethically problematic group homogenization of the older population. Finally, I conclude that an intersectional perspective can shed light on further controversies on ageism and triage in the postpandemic future.

La pandemia de la COVID-19 ha levantado sospechas de edadismo y gerontofobia en diversas prácticas de racionamiento sanitario. La edad es un criterio de triaje controvertido. En este artículo se esclarece la relevancia ética de la edad dentro de los sistemas de triaje, analizando particularmente su rol dentro de los principios de equidad y de eficiencia. La equidad requiere dar más oportunidades a aquellos que han cumplido menos ciclos vitales. La eficiencia tiene en cuenta la edad de manera subrepticia al tratar de maximizar los beneficios a corto plazo (salvar vidas) y a largo plazo (salvar años de vida). Finalmente, la edad no debe ser la última ratio de las decisiones de triaje, aunque es una variable a tener en cuenta debido a su presencia implícita en principios fundamentales de priorización.