The tendency of customers’ preference to their local brands over the foreign ones is known as the consumer ethnocentrism, and it is one of the important issues in international marketing. This study aims at identifying the behavioral and neural correlates of Consumer Ethnocentrism in the field of brand preference by using Event-Related Potential (ERP). We sampled subjects from two ethnic groups, the Chinese ethnic group and the sub-Sahara black Africans group from the Zhejiang University. The subjects faced two sequential stimuli, (...) S1 followed by S2. The S1 consisted of 40 pictures of 20 Chinese and 20 Africans black peoples wearing traditional clothes, and S2 consisted of 40 fake brand-logos which were divided randomly into two groups of 20 each. The subjects were informed that the people in the S1 purchased and recommended the products with the brand-logos presented in S2, and the subjects were asked to rate their preference degree toward these logos. The brand-logos were called the “in-group recommended logos” if the recommender in S1 were the same race as the subjects, otherwise, the “out-group recommended logos”.The results revealed that the race of the brand-logo recommender highly impacted the Chinese subjects’ preference for the brand-logos. The N200 component elicited by in-group recommended logos were significantly lower than those elicited by out-group recommended logos. Besides, there was evidence that being familiar with foreign cultures reduces consumer ethnocentrism. The African subjects were familiar with Chinese people and adopted Chinese culture, as a result, they did not differ in showing preferences between in-group and out-group recommended logos. (shrink)

Perez-Rodriguez and de la Fuente (2017) assume that although human races do not exist in a biological sense (“geneticists and evolutionary biologists generally agree that the division of humans into races/subspecies has no defensible scientific basis,” they exist only as “sociocultural constructions” and because of that maintain an illusory reality, for example, through “racialized” practices in medicine. Agreeing with the main postulates formulated in the article, we believe that the authors treat this problem in a superficial manner and have failed (...) to capture the current state of the field of knowledge in science and the humanities. In our commentary, we want to highlight two main omissions, and to notice three important implications for “a postracial medicine.”. (shrink)

The goals and tasks of neuroethics formulated by Farahany and Ramos (2020) link epistemological and methodological issues with ethical and social values. The authors refer simultaneously to the social significance and scientific reliability of the BRAIN Initiative. They openly argue that neuroethics should not only examine neuroscientific research in terms of “a rigorous, reproducible, and representative neuroscience research process” as well as “explore the unique nature of the study of the human brain through accurate and representative models of its function (...) and dysfunction”, but also its responsibilities or social consequences. In our commentary, we would like to concentrate on problem selection, which is shortly noticed by Farahany and Ramos, and by BRAIN Initiative’s Neuroethics Report itself. The document raises an important issue related to problem selection, which is strengthening or perpetuating existing prejudices and biases by choosing a research subject: “scientists are prompted to consider how the questions they choose to study in the laboratory might amplify existing biases.” This leads to several further problems: what constitutes bias?; how biases may be embedded in the selection of research programs?; is it possible to conduct completely unbiased research?; who should be a gatekeeper in the case of research that may amplify biases? We try to notice possible answers to these questions in the context of the research on differences (e.g., cognitive, medical, behavioral) between human populations. (shrink)

Saunkeah et al. analyze the aptness of extending the Belmont Principles of Respect for Persons, Beneficence and Justice to AI/AN tribal communities as a whole. They argue that to protect AI/...

In this article, we discuss epistemological limitations relating to the use of ethnoracial categories in biomedical research as devised by the Office of Management and Budget’s institutional guidelines. We argue that the obligation to use ethnoracial categories in genomics research should be abandoned. First, we outline how conceptual imprecision in the definition of ethnoracial categories can generate epistemic uncertainty in medical research and practice. Second, we focus on the use of ethnoracial categories in medical genetics, particularly genomics-based precision medicine, where (...) ethnoracial identity is understood as a proxy for medically relevant differences among individuals. Notably, extensive criticisms have been made already against the genetic interpretation of races, but, nonetheless, the concept of race remains a key element of contemporary genomics. This motivates us to explore possible reasons why such criticisms may have been ineffective in redirecting attention to other (non-race-based) ways of controlling for human variability. We contend that popular arguments against the idea that human races have a genetic basis, though convincing in many respects, are not sufficient to exclude the pragmatic use of race and ethnicity as proxies for genetic variability related to complex phenotypes. Finally, we provide two further arguments to support the idea that ethnoracial categories are unlikely to provide meaningful insights into medical genetics, which implies that even the interpretation of race as a useful tool to stratify disease risk is unwarranted. (shrink)

This paper discuss the phenomenon of empathy in social robotics and is divided into three main parts. Initially, I analyse whether it is correct to use this concept to study and describe people’s reactions to robots. I present arguments in favour of the position that people actually do empathise with robots. I also consider what circumstances shape human empathy with these entities. I propose that two basic classes of such factors be distinguished: biological and socio-cognitive. In my opinion, one of (...) the most important among them is a sense of group membership with robots, as it modulates the empathic responses to representatives of our- and other- groups. The sense of group membership with robots may be co-shaped by socio-cognitive factors such as one’s experience, familiarity with the robot and its history, motivation, accepted ontology, stereotypes or language. Finally, I argue in favour of the formulation of a pragmatic and normative framework for manipulations in the level of empathy in human–robot interactions. (shrink)