Conceptual engineering takes a distinctively normative and reconstructive approach to our conceptual repertoire. This approach is congenial to the ideas defended by philosophers belonging to the multifaceted tradition of American and Cambridge Pragmatism. This special issue is devoted to the investigation and development of these connections. Our introduction maps some of the historical and theoretical entanglements between the two fields and gives a short overview of the contributions to the special issue.

Begriffe sind die Bausteine unserer Gedanken. Wir nutzen sie, um Ordnung in die Vielzahl der uns umgebenden Einzeldinge zu bringen, um Schlussfolgerungen zu ziehen, um Überzeugungen, Hoffnungen oder Wünsche zu formen, um uns miteinander zu verständigen. Viele unserer begrifflichen Gebilde unterliegen Korrektheitsbedingungen. Überzeugungen können falsch sein, Theorien ebenso. Doch wie sieht es mit unseren Begriffen selbst aus? Können auch diese in einem bestimmten Sinne falsch oder ungeeignet sein? Sollten wir gar versuchen, unser begriffliches Repertoire aktiv umzugestalten, indem wir z. B. (...) manche von ihnen verbessern oder austauschen, neue hinzufügen oder andere entfernen? Diese und weitere Fragen werden in der aktuellen analytischen Philosophie unter den Stichworten ‚Conceptual Ethics‘ bzw. ‚Conceptual Engineering‘ diskutiert. Der vorliegende Artikel erläutert die grundsätzliche Motivation des Conceptual Engineering und diskutiert außerdem einige der wichtigsten Probleme und Perspektiven dieses noch äußerst jungen und aufregenden Forschungsfeldes. (shrink)

New technologies are the source of uncertainties about the applicability of moral and morally connotated concepts. These uncertainties sometimes call for conceptual engineering, but it is not often recognized when this is the case. We take this to be a missed opportunity, as a recognition that different researchers are working on the same kind of project can help solve methodological questions that one is likely to encounter. In this paper, we present three case studies where philosophers of technology implicitly engage (...) in conceptual engineering (without naming it as such). We subsequently reflect on the case studies to find out how these illustrate conceptual engineering as an appropriate method to deal with pressing concerns in the philosophy of technology. We have two main goals. We first want to contribute to the literature on conceptual engineering by presenting concrete examples of conceptual engineering in the philosophy of technology. This is especially relevant, because the technologies that are designed based on the conceptual work done by philosophers of technology potentially have crucial moral and social implications. Secondly, we want to make explicit what choices are made when doing this conceptual work. Making explicit that some of the implicit assumptions are, in fact, debated in the literature allows for reflection on these questions. Ultimately, our hope is that conscious reflection leads to an improvement of the conceptual work done. (shrink)

This paper explores the question: What would conceptual engineering have to be in order to promote social justice? Specifically, it argues that to promote social justice, conceptual engineering must deliver the following: it needs to be possible to deliberately implement a conceptual engineering proposal in large communities; it needs to be possible for a conceptual engineering proposal to bring about change to extant social categories; it needs to be possible to bring a population to adopt a conceptual engineering proposal for (...) the right reasons; and it needs to be possible to do – without producing harmful consequences. I show that, of the three dominant approaches to conceptual engineering in the literature, only one of them seems amenable to the idea that it is possible and legitimate to promote social justice in accordance with –. (shrink)

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)

Conceptual Engineering (CE) is thought to be generally aimed at ameliorating deficient concepts. In this paper, we challenge this assumption: we argue that CE is frequently undertaken with the orthogonal aim of _conceptual adaptation_. We develop this thesis with reference to the interplay between technology and concepts. Emerging technologies can exert significant pressure on conceptual systems and spark ‘conceptual disruption’. For example, advances in Artificial Intelligence raise the question of whether AIs are agents or mere objects, which can be construed (...) as a CE question regarding the concepts AGENT and OBJECT. We distinguish between three types of conceptual disruption (conceptual gaps, conceptual overlaps, and conceptual misalignments) and argue that when CE occurs to address these disruptions, its primary aim is not to improve concepts, but to retain their functional quality, or to prevent them from degrading. This is the characteristic aim of CE when undertaken in philosophy of technology: to _preserve_ the functional role of a concept or conceptual scheme, rather than _improving_ how a concept fulfills its respective function. (shrink)

On a representationalist view, conceptual engineering is the practice of changing the extensions and intensions of the devices we use to speak and think. But if this view holds true, conceptual engineering has a bad rationale. Extensions and intensions are not the sorts of things that are better or worse as such. A representationalist account of conceptual engineering thus falls prey to the objection that the practice has a bad rationale. To account for the assumption that conceptual engineering is worthwhile, (...) we propose to view what is being engineered as inferential devices, as opposed to representational devices. The objective is not to establish that being or having an inferential role is all there is to meaning or conceptual content. Rather, our agenda is to recommend a shift of focus from the representational features of content to the inferential features of content for the purposes of doing and thinking about conceptual engineering. Inferentialism about conceptual engineering makes better sense of the practice than a representationalist approach: In addition to accounting for the rationality of engaging in conceptual engineering, inferentialism provides a sound interpretation of what is at stake in concrete examples of conceptual engineering. (shrink)

Philosophers interested in conceptual engineering take it for granted that the same concept can unproblematically play diverse functions, but this view overlooks the fact that conceptual and functional change often impair concepts and even functions themselves. I demonstrate that while conceptual and functional engineering may improve concepts and functions, they can also produce detrimental effects. Therefore, it is crucial to carefully assess the potential benefits or problems before making any modifications. Frequently, we overlook the fact that, for instance, adding extra (...) functions to our concepts modifies them; this may increase, but also impair, their theoretical and practical efficacy. I analyze and clarify these possibilities through a general classificatory framework encompassing concepts, functions, and conceptual and functional change. The larger aim of this paper is to bring attention to these complex and under-researched relationships and pave the way for further research in this area. (shrink)

Politicians and engineers are increasingly realizing that values are important in the development of technological artefacts. What is often overlooked is that different conceptualizations of these abstract values lead to different design-requirements. For example, designing social media platforms for deliberative democracy sets us up for technical work on completely different types of architectures and mechanisms than designing for so-called liquid or direct forms of democracy. Thinking about Democracy is not enough, we need to design for the proper conceptualization of these (...) values. As we see it, we cannot responsibly engineer and innovate and shape technology in accordance with our moral values without engaging in systematic and continuous conceptual engineering: This is not only an academic, or theoretical issue, it is also not simply an issue for public policy or politics, or regulators, it has become a central problem for engineering and the world of technology. In this paper, we present a framework for doing the necessary conceptual work in the context of requirement engineering. We draw on the literature on conceptual engineering to lay out a methodology to (1) assess different conceptions and (2) to develop new conceptions. Moreover, we integrate this methodology with extant approaches in the philosophy of technology which aim at designing technological artefacts ethically. In the final section we apply this integrated framework to freedom in the context of social media networks. (shrink)

Conceptual engineering is the design, evaluation and implementation of concepts. Despite its popularity, some have argued that the methodology is not worthwhile, because the implementation of new concepts is both inscrutable and beyond our control. In the recent literature we see different responses to this worry. Some have argued that it is for political reasons just as well that implementation is such a difficult task, while others have challenged the metasemantic and social assumptions that underlie this skepticism about implementation. In (...) this paper, I argue that even if implementation is as difficult as critics maintain, there is at least one context in which conceptual engineering is extremely impactful and demonstrably so: the design of new technology. Different conceptions of control, freedom, trust, etc. lead to different designs and implementations of systems that are built to embed those concepts. This means that if we want to design for control, freedom, trust, etc., we have to decide which conception we ought to use. When we determine what the appropriate conception of a concept is in a technological context and use this conception to operationalize a norm or value, we generate requirements which have real-world effects. This not only shows that conceptual engineering can be extremely impactful, the fact that it leads to different design requirements means that we have a way to evaluate our conceptual choices and that we can use this feedback loop to improve upon our conceptual work By illustrating the direct impacts of different conceptions on technology design, this paper underscores the practical applicability and value of conceptual engineering, demonstrating how it serves as a crucial bridge between abstract philosophical analysis and concrete technological innovation. (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 ofsocial normsandconceptual pluralism. (shrink)