The Implementation Problem for conceptual engineering is, roughly, the problem conceptual engineers face when attempting to bring about the conceptual change they support. An important aspect of this problem concerns the extent to which attempting to implement concepts can lead to unintended negative consequences. Not only can conceptual engineers fail to implement their proposals, but their interventions can produce outcomes directly counter to their goals. It is therefore important to think carefully about the prospect of attempted implementation leading to unintended (...) negative consequences: what sort of negative consequences can conceptual engineers expect? Are some forms of conceptual engineering more likely than others to lead to such consequences? And is conceptual engineering still viable even given the risk of such consequences? This paper addresses such questions. I begin by outlining different forms of conceptual engineering (Section 1), before examining how they can produce unintended negative consequences (Section 2). I then discuss some implications of the fact that attempted implementation can produce unintended negative consequences, suggesting that, among other things, some forms of conceptual engineering are less viable than others (Section 3). I conclude, though, by considering some of the ways in which conceptual engineering is nonetheless a worthwhile pursuit (Section 4). (shrink)

Recent work on philosophy of technology emphasises the ways in which technology can disrupt our concepts and conceptual schemes. We analyse and challenge existing accounts of conceptual disruption, criticising views according to which conceptual disruption can be understood in terms of uncertainty for conceptual application, as well as views assuming all instances of conceptual disruption occur at the same level. We proceed to provide our own account of conceptual disruption as an interruption in the normal functioning of concepts and conceptual (...) schemes. Moreover, we offer a multilevel taxonomy thereof, where we distinguish between instances of conceptual disruptions occurring at different levels (conceptual scheme, conceptual clusters, and individual concepts), taking on different forms (conceptual gaps and conceptual conflicts), and leading to different degrees of severity (extending from mild to severe). We also provide detailed accounts through historical examples of how conceptual gaps and conceptual conflicts can occur at different times in the very same process of conceptual disruption. Finally, we make the case that different kinds of conceptual engineering can provide meaningful ways to assess and overcome distinct types of conceptual disruption. (shrink)

Background Scientific and technological advancements in mapping and understanding the interrelated pathways through which biological and environmental exposures affect disease development create new possibilities for detecting disease risk factors. Early detection of such risk factors may help prevent disease onset or moderate the disease course, thereby decreasing associated disease burden, morbidity, and mortality. However, the ethical implications of screening for disease risk factors are unclear and the current literature provides a fragmented and case-by-case picture. Methods To identify key ethical considerations (...) arising from the early detection of disease risk factors, we performed a systematic scoping review. The Scopus, Embase, and Philosopher’s Index databases were searched for peer-reviewed, academic records, which were included if they were written in English or Dutch and concerned the ethics of (1) early detection of (2) disease risk factors for (3) disease caused by environmental factors or gene-environment interactions. All records were reviewed independently by at least two researchers. Results After screening 2034 titles and abstracts, and 112 full papers, 55 articles were included in the thematic synthesis of the results. We identified eight common ethical themes: (1) Reliability and uncertainty in early detection, (2) autonomy, (3) privacy, (4) beneficence and non-maleficence, (5) downstream burdens on others, (6) responsibility, (7) justice, and (8) medicalization and conceptual disruption. We identified several gaps in the literature, including a relative scarcity of research on ethical considerations associated with environmental preventive health interventions, a dearth of practical suggestions on how to address expressed concerns about overestimating health capacities, and a lack of insights into preventing undue attribution of health responsibility to individuals. Conclusions The ethical concerns arising with the early detection of risk factors are often interrelated and complex. Comprehensive ethical analyses are needed that are better embedded in normative frameworks and also assess and weigh the expected benefits of early risk factor detection. Such research is necessary for developing and implementing responsible and fair preventive health policies. (shrink)

According to predictive processing, an increasingly influential paradigm in cognitive science, the function of the brain is to minimize the prediction error of its sensory input. Conceptual engineering is the practice of assessing and changing concepts or word meanings. We contribute to both strands of research by proposing the first cognitive account of conceptual engineering, using the predictive processing framework. Our model reveals a new kind of implementation problem as prediction errors are only minimized if enough agents embrace conceptual changes. (...) This problem can be overcome by emphasizing the importance of social norms and conceptual pluralism. (shrink)

It has been argued that our concepts can be disrupted or challenged by technology or normative concerns, which raises the question of whether we can create, design, engineer, or define more robust concepts that avoid counterexamples and conceptual challenges that can lead to conceptual disruption. In this paper, it is argued that we can. This argument is presented through a case study of a definition in the technological domain.