Conceptual engineering and conceptual ethics are branches of philosophy concerned with questions about how to assess and ameliorate our representational devices (such as concepts and words). It's a part of philosophy concerned with questions about which concepts we should use (and why), how concepts can be improved, when concepts should be abandoned, and how proposals for amelioration can be implemented. Central parts of the history of philosophy have engaged with these issues, but the focus of this volume is on applications (...) to work in contemporary philosophy of language and mind, epistemology, gender and race theory, ethics, philosophy of science, and philosophical logic. This is the first volume devoted entirely to conceptual engineering and conceptual ethics. The volume explores the possibilities, benefits, problems, and applications of conceptual engineering and conceptual ethics. It consists of twenty chapters written by leading philosophers. (shrink)

I call the activity of assessing and developing improvements of our representational devices ‘conceptual engineering’.¹ The aim of this chapter is to present an argument for why conceptual engineering is important for all parts of philosophy (and, more generally, all inquiry). Section I of the chapter provides some background and defines key terms. Section II presents the argument. Section III responds to seven objections. The replies also serve to develop the argument and clarify what conceptual engineering is.

Conceptual engineering is thought to face an ‘implementation challenge’: the challenge of securing uptake of engineered concepts. But is the fact that implementation is challenging really a defect to be overcome? What kind of picture of political life would be implied by making engineering easy to implement? We contend that the ambition to obviate the implementation challenge goes against the very idea of liberal democratic politics. On the picture we draw, the implementation challenge can be overcome by institutionalizing control over (...) conceptual uptake, and there are contexts—such as professions that depend on coordinated conceptual innovation—in which there are good reasons to institutionalize control in this fashion. But the liberal fear of this power to control conceptual uptake ending up in the wrong hands, combined with the democratic demand for freedom of thought as a precondition of genuine consent, yields a liberal democratic rationale for keeping implementation challenging. (shrink)

In “Conceptual Diversity in Epistemology,” Richard Foley reflects on such central topics in epistemology as knowledge, warrant, rationality, and justification, with the purpose of distinguishing such concepts in a general theory. Foley uses “warrant” to refer to that which constitutes knowledge when added to true belief and suggests that rationality and justification are not linked to knowledge by necessity. He proceeds to offer a general schema for rationality. This schema enables a distinction between “rationality” and “rationality all things considered.” Foley (...) proposes how these concepts can work together in a system that “provides the necessary materials for an approach to epistemology that is clarifying, theoretically respectable, and relevant to our actual lives.”. (shrink)

ABSTRACT Conceptual engineering aims to improve our concepts. That's plausibly an extremely difficult thing to do. Should this make us sceptical of the idea that philosophers should try to do it? You might think so. Cappelen, in his Fixing Language: an Essay on Conceptual Engineering, thinks it shouldn't stop us – but his stated reasons are not really encouraging. In this paper, I say what I think Cappelen should have said, on the basis of a very rough cost-benefit analysis.

The explanatory gap . Consciousness is a mystery. No one has ever given an account, even a highly speculative, hypothetical, and incomplete account of how a physical thing could have phenomenal states. Suppose that consciousness is identical to a property of the brain, say activity in the pyramidal cells of layer 5 of the cortex involving reverberatory circuits from cortical layer 6 to the thalamus and back to layers 4 and 6,as Crick and Koch have suggested for visual consciousness. .) (...) Still, that identity itself calls out for explanation! Proponents of an explanatory gap disagree about whether the gap is permanent. Some say that we are like the scientifically naive person who is told that matter = energy, but does not have the concepts required to make sense of the idea. If we can acquire these concepts, the gap is closable. Others say the gap is uncloseable because of our cognitive limitations. Still others say that the gap is a consequence of the fundamental nature of consciousness. (shrink)

Conceptual engineering is now a central topic in contemporary philosophy. Just 4-5 years ago it wasn’t. People were then engaged in the engineering of various philosophical concepts (in various sub-disciplines), but typically not self-consciously so. Qua philosophical method, conceptual engineering was under-explored, often ignored, and poorly understood. In my lifetime, I have never seen interest in a philosophical topic grow with such explosive intensity. The sociology behind this is fascinating and no doubt immensely complex (and an excellent case study for (...) those interested in the dynamics of academic disciplines). That topic, however, will have to wait for another occasion. Suffice it to say that if Fixing Language (FL) contributed even a little bit to this change of focus in philosophical methodology, it would have achieved one of its central goals. In that connection, it is encouraging that the papers in this symposium are in fundamental agreement about the significance and centrality of conceptual engineering to philosophy. That said, the goal of FL was not only to advocate for a topic, but also to defend a particular approach to it: The Austerity Framework. These replies have helped me see clearer the limitations of that view and points where my presentation was suboptimal. The responses below are in part a reconstruction of what I had in mind while writing the book and in part an effort to ameliorate. I’m grateful to the symposiasts for helping me get a better grip on these very hard issues. (shrink)

This essay concerns the question of how we make genuine epistemic progress through conceptual analysis. Our way into this issue will be through consideration of the paradox of analysis. The paradox challenges us to explain how a given statement can make a substantive contribution to our knowledge, even while it purports merely to make explicit what one’s grasp of the concept under scrutiny consists in. The paradox is often treated primarily as a semantic puzzle. However, in “Sect. 1” I argue (...) that the paradox raises a more fundamental epistemic problem, and in “Sects.1 and 2” I argue that semantic proposals—even ones designed to capture the Fregean link between meaning and epistemic significance—fail to resolve that problem. Seeing our way towards a real solution to the paradox requires more than semantics; we also need to understand how the process of analysis can yield justification for accepting a candidate conceptual analysis. I present an account of this process, and explain how it resolves the paradox, in “Sect. 3”. I conclude in “Sect. 4” by considering the implications for the present account concerning the goal of conceptual analysis, and by arguing that the apparent scarcity of short and finite illuminating analyses in philosophically interesting cases provides no grounds for pessimism concerning the possibility of philosophical progress through conceptual analysis. (shrink)

In recent years, there has been significant interest in injustices that do not consist in inflicting physical or material harm on others, but operate in more subtle ways, e.g. by targeting our status as epistemic agents. In a similar fashion, this paper aims to bring to the forefront a currently overlooked kind of injustice that occurs in relation to our concepts: conceptual injustice, which is characterised by wrongful in- or exclusion from the application of a concept. The first part of (...) the paper is concerned with spelling out the notion, discussing its characteristic wrongs, and with tracing it in a number of examples. In the second part, I discuss conceptual injustice in relation to connected but different forms of injustice, such as epistemic injustice. This highlights the advantages of having the notion on hand: it enhances our understanding of other forms of injustice like hermeneutical injustice, and allows us to capture a ‘remainder of injustice’ for which we could not account otherwise. (shrink)

We show that the conceptual distance between any two theories of first-order logic is the same as the generator distance between their Lindenbaum–Tarski algebras of concepts. As a consequence of this, we show that, for any two arbitrary mathematical structures, the generator distance between their meaning algebras (also known as cylindric set algebras) is the same as the conceptual distance between their first-order logic theories. As applications, we give a complete description for the distances between meaning algebras corresponding to structures (...) having at most three elements and show that this small network represents all the possible conceptual distances between complete theories. As a corollary of this, we will see that there are only two non-trivial structures definable on three-element sets up to conceptual equivalence (i.e., up to elementary plus definitional equivalence). (shrink)

Is conceptual analysis required for reductive explanation? If there is no a priori entailment from microphysical truths to phenomenal truths, does reductive explanation of the phenomenal fail? We say yes . Ned Block and Robert Stalnaker say no.

Conceptual engineers seek to revise or replace the devices we use to speak and think. If this amounts to an effort to change what natural language expressions mean, conceptual engineers will have a hard time. It is largely unfeasible to change the meaning of e.g. ‘cause’ in English. Conceptual engineers may therefore seem unable to make the changes they aim to make. This is what I call ‘the implementation problem’. In this paper, I argue that the implementation problem dissolves if (...) we expand our view of how conceptual engineers could implement the products of their work. I describe four implementation options: Standing Meaning, Meaning Modulation, Speaker-Meaning and Different Language. I query the feasibility and worth of pursuing these options. Unless each option fails because it is unfeasible or not worthwhile, conceptual engineers do not face an implementation problem worth worrying about. I argue that some of the options are feasible and worthwhile, and therefore, that conceptual engineers do not face an implementation problem worth worrying about. (shrink)

This paper does two things. First, it argues for a metaphilosophical view of conceptual analysis questions; in particular, it argues that the facts that settle conceptual-analysis questions are facts about the linguistic intentions of ordinary folk. The second thing this paper does is argue that if this metaphilosophical view is correct, then experimental philosophy is a legitimate methodology to use in trying to answer conceptual-analysis questions.

Discussions in social psychology overlook an important way in which biases can be encoded in conceptual representations. Most accounts of implicit bias focus on ‘mere associations’ between features and representations of social groups. While some have argued that some implicit biases must have a richer conceptual structure, they have said little about what this richer structure might be. To address this lacuna, we build on research in philosophy and cognitive science demonstrating that concepts represent dependency relations between features. These relations, (...) in turn, determine the centrality of a feature f for a concept C: roughly, the more features of C depend on f, the more central f is for C. In this paper, we argue that the dependency networks that link features can encode significant biases. To support this claim, we present a series of studies that show how a particular brilliance-gender bias is encoded in the dependency networks which are part of the concepts of female and male academics. We also argue that biases which are encoded in dependency networks have unique implications for social cognition. (shrink)

In this paper, we aim to show that the framework of embedded, distributed, or extended cognition offers new perspectives on social cognition by applying it to one specific domain: the psychology of memory. In making our case, first we specify some key social dimensions of cognitive distribution and some basic distinctions between memory cases, and then describe stronger and weaker versions of distributed remembering in the general distributed cognition framework. Next, we examine studies of social influences on memory in cognitive (...) psychology, and identify the valuable concepts and methods to be extended and embedded in our framework; we focus in particular on three related paradigms: transactive memory, collaborative recall, and social contagion. Finally, we sketch our own early studies of individual and group memory developed within our framework of distributed cognition, on social contagion of autobiographical memories, collaborative flashbulb memories, and memories of high school at a high school reunion. We see two reciprocal benefits of this conceptual and empirical framework to social memory phenomena: that ideas about distributed cognition can be honed against and tested with the help of sophisticated methods in the social cognitive psychology of memory; and conversely, that a range of social memory phenomena that are as yet poorly understood can be approached afresh with theoretically motivated extensions of existing empirical paradigms. (shrink)

On a view implicitly endorsed by many, a concept is epistemically better than another if and because it does a better job at ‘carving at the joints', or if the property corresponding to it is ‘more natural' than the one corresponding to another. This chapter offers an argument against this seemingly plausible thought, starting from three key observations about the way we use and evaluate concepts from en epistemic perspective: that we look for concepts that play a role in explanations (...) of things that cry out for explanation; that we evaluate not only ‘empirical' concepts, but also mathematical and perhaps moral concepts from an epistemic perspective; and that there is much more complexity to the concept/property relation than the natural thought seems to presuppose. These observations, it is argued, rule out giving a theory of conceptual evaluation that is a corollary of a metaphysical ranking of the relevant properties. -/- conceptual ethics, explanation, naturalness, epistemic value, concept/property, semantic internalism. (shrink)

This paper explains three ways to develop a conceptual role view of meaning in metaethics. First, it suggests that there’s a way to combine inspiration from noncognitivism with a particular form of the conceptual role view to form a noncognitivist view with distinctive advantages over other noncognitivist views. Second, it suggests that there’s also a way to combine a strong commitment to cognitivism with a different form of the conceptual role view to form a version of cognitivism with distinctive advantages (...) over other cognitivist views. Finally, it suggests that there's another way to think of the conceptual role view in metaethics is as opening up the space for a third way, beyond cognitivism and noncognitivism. (shrink)

This paper provides a method for characterizing space events using the framework of conceptual spaces. We focus specifically on estimating and ranking the likelihood of collisions between space objects. The objective is to design an approach for anticipatory decision support for space operators who can take preventive actions on the basis of assessments of relative risk. To make this possible our approach draws on the fusion of both hard and soft data within a single decision support framework. Contextual data is (...) also taken into account, for example data about space weather effects, by drawing on the Space Domain Ontologies, a large system of ontologies designed to support all aspects of space situational awareness. The framework is coupled with a mathematical programming scheme that frames a mathematically optimal approach for decision support, providing a quantitative basis for ranking potential for collision across multiple satellite pairs. The goal is to provide the broadest possible information foundation for critical assessments of collision likelihood. (shrink)

From reviews of the hardback edition: a deep study of 20th century field ... of the conceptual origins and development of twentieth century field theories, ...

"... no comprehensive scholarly study of the conceptual development of quantum mechanics has heretofore appeared. The popular or semiscientific publications available hardly skim the surface of the subject... The publication... seems therefore to fill an important lacuna in the literature on the history and philosophy of physics." -- Pref.

Conceptual engineering is the enterprise of evaluating and improving our representational devices. But how should we conduct this enterprise? One increasingly popular answer to this question proposes that conceptual engineering should proceed in terms of the functions of our representational devices. In this paper, we argue that the best way of understanding this suggestion is in terms of normative functions, where normative functions of concepts are, roughly, things that they allow us to do that matter normatively (for example, things in (...) virtue of which we have normative reasons to have these concepts). Not only does this introduce a novel view about functions to the literature. This proposal also fits more naturally than the alternatives with conceptual engineering as a normative enterprise, and it allows functions to play all of the explanatory roles assigned to them in the conceptual engineering literature. Our discussion of the explanatory advantages of normative functions also advances the understanding of the ways in which concepts can be authoritative, what this means for conceptual engineering, and highlights the importance of political philosophy for thinking about conceptual engineering in practice. Furthermore, the paper explicates what kind of role considerations about function can and should actually play in conceptual engineering. (shrink)

Examining previous discussions on how to construe the concepts of gender and race, we advocate what we call strategic conceptual engineering. This is the employment of a (possibly novel) concept for specific epistemic or social aims, concomitant with the openness to use a different concept (e.g., of race) for other purposes. We illustrate this approach by sketching three distinct concepts of gender and arguing that all of them are needed, as they answer to different social aims. The first concept serves (...) the aim of identifying and explaining gender-based discrimination. It is similar to Haslanger’s well-known account, except that rather than offering a definition of ‘woman’ we focus on ‘gender’ as one among several axes of discrimination. The second concept of gender is to assign legal rights and social recognitions, and thus is to be trans-inclusive. We argue that this cannot be achieved by previously suggested concepts that include substantial gender-related psychological features, such as awareness of social expectations. Instead, our concept counts someone as being of a certain gender solely based on the person’s self-identification with this gender. The third concept of gender serves the aim of personal empowerment by means of one’s gender identity. In this context, substantial psychological features and awareness of one’s social situation are involved. While previous accounts of concepts have focused on their role in determining extensions, we point to contexts where a concept’s role in explanation and moral reasoning can be more important. (shrink)

This paper discusses the logical space of alternative conceptual engineering projects, with a specific focus on (1) the processes, (2) the targets and goals, and (3) the methods of such projects. We present an overview of how these three aspects interact in the contemporary literature and discuss those alternative projects that have yet to be explored based on our suggested typology. We show how choices about each element in a conceptual engineering project constrain the possibilities for the others, thereby giving (...) rise to distinct groupings of possible projects under the banner of conceptual engineering. We conclude with a critical reflection on the potential ethical issues that arise as a result of effectively putting conceptual engineering into practice. (shrink)

Camp (2009) distinguishes two varieties of conceptual recombination. One of them is full-blown or (as I prefer to call it) spontaneous recombination. The other is causal-counterfactual recombination. She suggests that while human animals recombine their concepts in a full-blown way, many non-human animals are capable of conceptual recombinability but only of the causal-counterfactual kind. In this paper, I argue that there is conceptual space to draw further sub-distinctions on how different animals may recombine their concepts. More specifically, I propose to (...) differentiate between a) narrow causal-counterfactual recombination; b) broad causal-counterfactual recombination; c) lean spontaneous recombination; d) robust spontaneous recombination. Afterwards, I focus on how these distinctions relate to several previous philosophical ideas on the representational capacities of non-human animals. I also provide several empirical examples suggesting that some animals display one or another of these four ways of recombining concepts, at least in some contexts. (shrink)

Which concepts should we use to think and talk about the world, and to do all of the other things that mental and linguistic representation facilitates? This is the guiding question of the field that we call ‘conceptual ethics’. Conceptual ethics is not often discussed as its own systematic branch of normative theory. A case can nevertheless be made that the field is already quite active, with contributions coming in from areas as diverse as fundamental metaphysics and social/political philosophy. In (...) this pair of papers, we try to unify the field, reflecting on its basic nature, structure, and methodology. (shrink)

Which concepts should we use to think and talk about the world and to do all of the other things that mental and linguistic representation facilitates? This is the guiding question of the field that we call ‘conceptual ethics’. Conceptual ethics is not often discussed as its own systematic branch of normative theory. A case can nevertheless be made that the field is already quite active, with contributions coming in from areas as diverse as fundamental metaphysics and social/political philosophy. In (...) this pair of papers, we try to unify the field, reflecting on its basic nature, structure, and methodology. (shrink)

Using the example of recent attempts to engineer the concept of conspiracy theory, I argue that philosophers should be far more circumspect in their approach to conceptual engineering than we have been – in particular, that we should pay much closer attention to the history behind and context that surrounds our target concept in order to determine whether it is a site of what I have elsewhere called ‘conceptual domination’. If it is, we may well have good reason to avoid (...) engineering. In their recent ‘What is a Conspiracy Theory?’, M. Giulia Napolitano and Kevin Reuter argue that the disagreement between generalists and particularists in the literature on conspiracy theories is best characterized as a set of dueling conceptual engineering projects. While I agree with their turn to this metaphilosophical literature, I give a very different account of its applicability. Particularists, on my account, are better read as aiming to diagnose the ways in which many discussions of the concept of conspiracy theories are a form of conceptual domination, where this broader context should then prompt us to abandon or block any concept of conspiracy theory that treats its referents as inherently defective. Broader metaphilosophical lessons are drawn. (shrink)

Many philosophical naturalists eschew analysis in favor of discovering metaphysical truths from the a posteriori, contending that analysis does not lead to philosophical insight. A countercurrent to this approach seeks to reconcile a certain account of conceptual analysis with philosophical naturalism; prominent and influential proponents of this methodology include the late David Lewis, Frank Jackson, Michael Smith, Philip Pettit, and David Armstrong. Naturalistic analysis is a tool for locating in the scientifically given world objects and properties we quantify over in (...) everyday discourse. This collection gathers work from a range of prominent philosophers who are working within this tradition, offering important new work as well as critical evaluations of the methodology. Its centerpiece is an important posthumous paper by David Lewis, "Ramseyan Humility," published here for the first time. The contributors first address issues of philosophy of mind, semantics, and the new methodology's a priori character, then turn to matters of metaphysics, and finally consider problems regarding normativity. Conceptual Analysis and Philosophical Naturalism is one of the first efforts to apply this approach to such a wide range of philosophical issues. _Contributors: _David Braddon-Mitchell, Mark Colyvan, Frank Jackson, Justine Kingsbury, Fred Kroon, David Lewis, Dustin Locke, Kelby Mason, Jonathan McKeown-Green, Peter Menzies, Robert Nola, Daniel Nolan, Philip Pettit, Huw Price, Denis Robinson, Steve Stich, Daniel Stoljar The hardcover edition does not include a dust jacket. (shrink)

I analyse conceptual change and conceptual engineering in the special case of colour concepts. The case raises the prospects of conceptual engineering because a precise standard for measuring the amelioration of the structure of concepts is available. On the other hand, the study highlights the problems with controlling conceptual engineering pointed out by Cappelen. I argue that in the case of conceptual change of colour concepts varying degrees of optimization, design and control are possible. I submit that this observation can (...) be generalized to other classes of concepts. As a result, the scope of conceptual engineering is reduced considerably; conceptual engineering appears as a limit case of conceptual change. (shrink)

Imagination is widely thought to come in two varieties: perception-like and belief-like imagination. What precisely sets them apart, however, is not settled. More needs to be said about the features that make one variety perception-like and the other belief-like. One common, although typically implicit, view is that they mimic their counterparts along the conceptuality dimension: while the content of belief-like imagination is fully conceptual, the content of perception-like imagination is fully non-conceptual. Such a view, however, is not sufficiently motivated in (...) the literature. I will show that there are good reasons to reject it and I will argue that both varieties of imagination involve fully conceptual contents. I will suggest an alternative way to draw the distinction between perception-like and belief-like imagination along the conceptuality dimension, according to which only perception-like imagination requires observational concepts. (shrink)

According to Conceptual Role Semantics ("CRS"), the meaning of a representation is the role of that representation in the cognitive life of the agent, e.g. in perception, thought and decision-making. It is an extension of the well known "use" theory of meaning, according to which the meaning of a word is its use in communication and more generally, in social interaction. CRS supplements external use by including the role of a symbol inside a computer or a brain. The uses appealed (...) to are not just actual, but also counterfactual: not only what effects a thought does have, but what effects it would have had if stimuli or other states had differed. The view has arisen separately in philosophy (where it is sometimes called "inferential," or "functional" role semantics) and in cognitive science (where it is sometimes called "procedural semantics"). The source of the view is Wittgenstein (1953) and Sellars, but the source in contemporary philosophy is a series of papers by Harman (see his 1987) and Field (1977). Other proponents in philosophy have included Block, Horwich, Loar, McGinn and Peacocke (1992). In cognitive science, they include Woods (1981) and Miller and Johnson-Laird (1976). (See references in Block, 1987.). (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)

Conceptual engineering is the practice of revising concepts to improve how people talk and think. Its ability to improve talk and thought ultimately hinges on the successful dissemination of desired conceptual changes. Unfortunately, the field has been slow to develop methods to directly test what barriers stand in the way of propagation and what methods will most effectively propagate desired conceptual change. In order to test such questions, this paper introduces the masked time-lagged method. The masked time-lagged method tests people's (...) conceptual understanding at two different points in time without their knowledge of being tested, allowing us to measure conceptual revision in action. Using a masked time-lagged design on a content internalist framework, we attempted to revise PLANET and DINOSAUR in online participants to match experts' concepts. We successfully revised PLANET but not DINOSAUR, demonstrating some of the difficulties conceptual engineers face. Nonetheless, this paper provides conceptual engineers, regardless of framework, with the tools to tackle questions related to implementation empirically and head-on. (shrink)

This book provides an introduction to the conceptual foundations of quantum mechanics, from classical mechanics and a discussion of the quantum phenomena that undermine our classical intuitions about how the physical world works, to the quantum measurement problem and alternatives to the standard von Neumann-Dirac formulation.

This paper examines the general prospects for conceptual role expressivism, expressivist theories that embrace conceptual role semantics. It has two main aims. The first aim is to provide a general characterisation of the view. The second aim is to raise a challenge for the general view. The challenge is to explain why normative concepts are not a species of defective concepts, where defective concepts are those that cannot meaningfully embed and participate in genuine inference. After rejecting existing attempts to answer (...) the challenge, I propose an alternative solution. However, the solution leaves conceptual role expressivism a far less distinctive and interesting position than its proponents claim. I conclude that we should be sceptical about how much expressivists gain by appealing to conceptual role semantics. (shrink)

This paper empirically raises and examines the question of ‘conceptual control’: To what extent are competent thinkers able to reason properly with new senses of words? This question is crucial for conceptual engineering. This prominently discussed philosophical project seeks to improve our representational devices to help us reason better. It frequently involves giving new senses to familiar words, through normative explanations. Such efforts enhance, rather than reduce, our ability to reason properly, only if competent language users are able to abide (...) by the relevant explanations, in language comprehension and verbal reasoning. This paper examines to what extent we have such ‘conceptual control’ in reasoning with new senses. The paper draws on psycholinguistic findings about polysemy processing to render this question empirically tractable and builds on recent findings from experimental philosophy to address it. The paper identifies a philosophically important gap in thinkers’ control over the key process of stereotypical enrichment and discusses how conceptual engineers can use empirical methods to work around this gap in conceptual control. The paper thus empirically demonstrates the urgency of the question of conceptual control and explains how experimental philosophy can empirically address the question, to render conceptual engineering feasible as an ameliorative enterprise. (shrink)

Conceptual engineering involves revising our concepts. It can be pursued as a specific philosophical methodology, but is also common in ordinary, non-philosophical, contexts. How does our capacity for conceptual engineering fit into human cognitive life more broadly? I hold that conceptual engineering is best understood alongside practices of conceptual exploration, examples of which include conceptual supposition (i.e., suppositional reasoning about alternative concepts), and conceptual comparison (i.e., comparisons between possible concept choices). Whereas in conceptual engineering we aim to change the concepts (...) we use, in conceptual exploration, we reason about conceptual possibilities. I approach conceptual exploration via the linguistic tools we use to communicate about concepts, using metalinguistic negotiation, convention-shifting conditionals, and metalinguistic comparatives as my key examples. I present a linguistic framework incorporating conventions that can account for this communication in a unified way. Furthermore, I argue that conceptual exploration helps undermine skepticism about conceptual engineering itself. (shrink)

Conceptual engineering is a philosophical method that aims to design and spread conceptual and linguistic devices to cause meaningful changes in the world. So far, however, conceptual engineers have struggled to successfully spread the conceptual and linguistic entities they have designed to their target communities. This paper argues that conceptual engineering is far more likely to succeed if it incorporates empirical data and empirical methods. Because the causal factors influencing successful propagation of linguistic or conceptual devices are as complicated and (...) interwoven as they are, proper empirical research will greatly boost the likelihood that propagation is successful. In arguing for the superiority of empirical conceptual engineering over armchair-based conceptual engineering, this paper proposes a framework for understanding the causal forces at play in propagation. This is a three-part framework between the label of a lexical item, the psychological states associated with the lexical item, and the worldly things associated with the lexical item. By understanding the way causal forces affecting propagation play out at these three levels, conceptual engineers can better conceptualize, study, and harness the different causal forces affecting the success of their conceptual engineering projects. (shrink)