Eugenics is often referred to in debates on the ethics of reproductive technologies and practices, in relation to the creation of moral boundaries between acceptable and unacceptable technologies, and acceptable and unacceptable uses of these technologies. Historians have argued that twentieth century eugenics cannot be reduced to a uniform set of practices, and that no simple lessons can be drawn from this complex history. Some authors stress the similarities between past eugenics and present reproductive technologies and practices (what I define (...) throughout the paper as ‘the continuity view’) in order to condemn the latter. Others focus on the differences between past and present practices (what I define throughout the paper as ‘the discontinuity view’) in order to defend contemporary reproductive technologies. In this paper, I explore the meanings of the word ‘eugenics’ and the relationship between its past and present uses in terms of contemporary debates on reproductive technologies and practices. I argue that moral disagreement about present technologies originate in divergent views of condemnable and justifiable features of the past. (shrink)

In this response, I focus on clarifying my arguments, highlighting consensus, and addressing competing views about the utility of polygenic scores (PGSs) for social science. I also discuss an assortment of expansions to my arguments and suggest alternative approaches. I conclude by reiterating the need for caution and appropriate scientific skepticism.

This article identifies two tendencies in left-wing approaches toward the social sciences. The first expresses skepticism towards science as a kind of product of the ruling ideology that solely reproduces the status quo. The second worries about the capacity of scientific inquiry to actually change people's ingrained beliefs and prejudices. Antonio Gramsci and W.E.B. Du Bois are representative of these two diverging approaches. Their views on science, however, offer more commonalities than at first meet the eye. They are both critical (...) of sociological traditions that seek to discover universal laws of society, arguing that such an approach fails to grasp the complexity of causality and the role of human action in shaping their lives and history. On the other hand, both see the potential for rigorous and nuanced scientific analysis to offer grounds for concrete action and warn off wishful thinking. By combining their views, this article presents a conception of the role and potential of social scientific inquiry for progressive movements toward social change that navigates between the double-sided concerns represented by Gramsci and Du Bois. (shrink)

The past few years have brought significant breakthroughs in understanding human genetics. This knowledge has been used to develop ‘polygenic scores’ which provide probabilistic information about the development of polygenic conditions such as diabetes or schizophrenia. They are already being used in reproduction to select for embryos at lower risk of developing disease. Currently, the use of polygenic scores for embryo selection is subject to existing regulations concerning embryo testing and selection. Existing regulatory approaches include ‘disease-based' models which limit embryo (...) selection to avoiding disease characteristics, and 'laissez-faire' or 'libertarian' models, under which embryo testing and selection remain unregulated. We introduce a novel 'Welfarist Model' which limits embryo selection according to the impact of the predicted trait on well-being. We compare the strengths and weaknesses of each model as a way of regulating polygenic scores. Polygenic scores create the potential for existing embryo selection technologies to be used to select for a wider range of predicted genetically influenced characteristics including continuous traits. Indeed, polygenic scores exist to predict future intelligence, and there have been suggestions that they will be used to make predictions within the normal range in the USA in embryo selection. We examine how these three models would apply to the prediction of non-disease traits such as intelligence. The genetics of intelligence remains controversial both scientifically and ethically. This paper does not attempt to resolve these issues. However, as with many biomedical advances, an effective regulatory regime must be in place as soon as the technology is available. If there is no regulation in place, then the market effectively decides ethical issues. (shrink)