It is always awkward when someone asks me informally what I’m working on and I answer that I’m trying to figure out what gender is. For outside a rather narrow segment of the academic world, the term ‘gender’ has come to function as the polite way to talk about the sexes. And one thing people feel pretty confident about is their knowledge of the difference between males and females. Males are those human beings with a range of familiar primary and (...) secondary sex characteristics, most important being the penis; females are those with a different set, most important being the vagina or, perhaps, the uterus. Enough said. Against this background, it isn’t clear what could be the point of an inquiry, especially a philosophical inquiry, into “what gender is”. (shrink)

The United States Army’s Future Combat Systems Project, which aims to manufacture a “robot army” to be ready for deployment by 2012, is only the latest and most dramatic example of military interest in the use of artificially intelligent systems in modern warfare. This paper considers the ethics of a decision to send artificially intelligent robots into war, by asking who we should hold responsible when an autonomous weapon system is involved in an atrocity of the sort that would normally (...) be described as a war crime. A number of possible loci of responsibility for robot war crimes are canvassed; the persons who designed or programmed the system, the commanding officer who ordered its use, the machine itself. I argue that in fact none of these are ultimately satisfactory. Yet it is a necessary condition for fighting a just war, under the principle of jus in bellum, that someone can be justly held responsible for deaths that occur in the course of the war. As this condition cannot be met in relation to deaths caused by an autonomous weapon system it would therefore be unethical to deploy such systems in warfare. (shrink)

Traditionally, the manufacturer/operator of a machine is held (morally and legally) responsible for the consequences of its operation. Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour any more, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine any more (which is not a (...) realistic option), or facing a responsibility gap, which cannot be bridged by traditional concepts of responsibility ascription. (shrink)

Artificial agents (AAs), particularly but not only those in Cyberspace, extend the class of entities that can be involved in moral situations. For they can be conceived of as moral patients (as entities that can be acted upon for good or evil) and also as moral agents (as entities that can perform actions, again for good or evil). In this paper, we clarify the concept of agent and go on to separate the concerns of morality and responsibility of agents (most (...) interestingly for us, of AAs). We conclude that there is substantial and important scope, particularly in Computer Ethics, for the concept of moral agent not necessarily exhibiting free will, mental states or responsibility. This complements the more traditional approach, common at least since Montaigne and Descartes, which considers whether or not (artificial) agents have mental states, feelings, emotions and so on. By focussing directly on mind-less morality we are able to avoid that question and also many of the concerns of Artificial Intelligence. A vital component in our approach is the Method of Abstraction for analysing the level of abstraction (LoA) at which an agent is considered to act. The LoA is determined by the way in which one chooses to describe, analyse and discuss a system and its context. The Method of Abstraction is explained in terms of an interface or set of features or observables at a given LoA. Agenthood, and in particular moral agenthood, depends on a LoA. Our guidelines for agenthood are: interactivity (response to stimulus by change of state), autonomy (ability to change state without stimulus) and adaptability (ability to change the transition rules by which state is changed) at a given LoA. Morality may be thought of as a threshold defined on the observables in the interface determining the LoA under consideration. An agent is morally good if its actions all respect that threshold; and it is morally evil if some action violates it. That view is particularly informative when the agent constitutes a software or digital system, and the observables are numerical. Finally we review the consequences for Computer Ethics of our approach. In conclusion, this approach facilitates the discussion of the morality of agents not only in Cyberspace but also in the biosphere, where animals can be considered moral agents without their having to display free will, emotions or mental states, and in social contexts, where systems like organizations can play the role of moral agents. The primary cost of this facility is the extension of the class of agents and moral agents to embrace AAs. (shrink)

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)

We sometimes seek to change and improve our conceptual repertoire in some way. This is called ‘conceptual engineering’. In recent work, I have defended the ‘Speaker-Meaning Picture’ of conceptual engineering. Independently, while critiquing the conceptual engineering literature, Max Deutsch has argued against understanding conceptual engineering in terms of speaker-meaning. Deutsch’s critique targets what he calls the ‘standard account’ of conceptual engineering and its role in philosophy. In my contribution to this symposium, I also object to the ‘standard account’. I then (...) sketch a more moderate view, centred on the Speaker-Meaning Picture, arguing that it avoids Deutsch’s criticisms. I close by discussing a new objection to the Speaker-Meaning Picture, raised by Deutsch in this symposium: that it trivialises conceptual engineering methodology. (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)

”Meaningful human control” is a term invented in the political and legal debate on autonomous weapons system, but it is nowadays also used in many other contexts. It is supposed to specify conditions under which an artificial system is under the right kind of control to avoid responsibility gaps: that is, situations in which no moral agent is responsible. Santoni de Sio and Van den Hoven have recently suggested a framework that can be used by system designers to operationalize this (...) kind of control. It is the purpose of this paper to facilitate further operationalization of ”meaningful human control”. -/- This paper consists of two parts. In the first part I resolve an ambiguity that plagues current operationalizations of MHC. One of the design conditions says that the system should track the reasons of the relevant agents. This condition is ambiguous between the kind of reasons involved. On one interpretation it says that a system should track motivating reasons, while it is concerned with normative reasons on the other. Current participants in the debate interpret the framework as being concerned with (something in the vicinity of) motivating reasons. I argue against this interpretation by showing that meaningful human control requires that a system tracks normative reasons. Moreover, I maintain that an operationalization of meaningful human control that fails to track the right kind of reasons is morally problematic.When this is properly understood, it can be shown that the framework of MHC is committed to the agent-relativity of reasons. More precisely, I argue in the second part of this paper that if the tracking condition of MHC plays an important role in responsibility attribution (as the proponents of the view maintain), then the framework is incompatible with first-order normative theories that hold that normative reasons are agent-neutral (such as many versions of consequentialism). In the final section I present three ways forward for the proponent of MHC as reason-responsiveness. (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)

This essay focuses on conceptual engineers who aim to improve other people's patterns of inference and attention by shaping their concepts. Such conceptual engineers sometimes engage in a form of epistemic paternalism that I call paternalistic cognitive engineering: instead of explicitly persuading, informing and educating others, the engineers non-consultatively rely on assumptions about the target agents’ cognitive systems to improve their belief forming. The target agents could reasonably regard such benevolent exercises of control as violating their sovereignty over their own (...) belief formation. This is a pro tanto reason against such engineering. In addition to the relevant projects of conceptual engineering, paternalistic cognitive engineering plausibly includes certain kinds of nudging and evidence suppression. I distinguish the sovereignty-based concern from other ethical worries about conceptual engineering and discuss how one might justify the relevant conceptual engineering projects despite the sovereignty-based reason against them. (shrink)

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)

Steffen Koch raises several objections to my critique of conceptual engineering. Here, I reply to these objections, arguing that Koch fails to adequately defend the “standard rationale” for conceptual engineering, and that the dilemma I have posed for “conceptual re-engineering”, a dilemma that presents this practice as either infeasible or else trivial, survives Koch’s objections unscathed. I conclude that conceptual engineering, both in terms of its conception and rationale, remains problematic.

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)

Conceptual engineers aim to revise rather than describe our concepts. But what are concepts? And how does one engineer them? Answering these questions is of central importance for implementing and theorizing about conceptual engineering. This paper discusses and criticizes two influential views of this issue: semanticism, according to which conceptual engineers aim to change linguistic meanings, and psychologism, according to which conceptual engineers aim to change psychological structures. I argue that neither of these accounts can give us the full story. (...) Instead, I propose and defend the Dual Content View of Conceptual Engineering. On this view, conceptual engineering targets concepts, where concepts are understood as having two kinds of contents: referential content and cognitive content. I show that this view is independently plausible and that it gives us a comprehensive account of conceptual engineering that helps to make progress on some of the most difficult problems surrounding conceptual engineering. (shrink)

Max Deutsch has recently argued that conceptual engineering is stuck in a dilemma. If it is construed as the activity of revising the semantic meanings of existing terms, then it faces an unsurmountable implementation problem. If, on the other hand, it is construed as the activity of introducing new technical terms, then it becomes trivial. According to Deutsch, this conclusion need not worry us, however, for conceptual engineering is ill-motivated to begin with. This paper responds to Deutsch by arguing, first, (...) that there is a third construal of conceptual engineering, neglected by him, which renders it both implementable and non-trivial, and second, that even the more ambitious project of changing semantic meanings is no less feasible than other normative projects we currently pursue. Lastly, the value of conceptual engineering is defended against Deutsch’s objections. (shrink)

Organizations such as the EU High-Level Expert Group on AI and the IEEE have recently formulated ethical principles and (moral) values that should be adhered to in the design and deployment of artificial intelligence (AI). These include respect for autonomy, non-maleficence, fairness, transparency, explainability, and accountability. But how can we ensure and verify that an AI system actually respects these values? To help answer this question, I propose an account for determining when an AI system can be said to embody (...) certain values. This account understands embodied values as the result of design activities intended to embed those values in such systems. AI systems are here understood as a special kind of sociotechnical system that, like traditional sociotechnical systems, are composed of technical artifacts, human agents, and institutions but—in addition—contain artificial agents and certain technical norms that regulate interactions between artificial agents and other elements of the system. The specific challenges and opportunities of embedding values in AI systems are discussed, and some lessons for better embedding values in AI systems are drawn. (shrink)

Advocates of conceptual engineering as a method of philosophy face a dilemma: either they are ignorant of how conceptual engineering can be implemented, or else it is trivial to implement but of very little value, representing no new or especially fruitful method of philosophizing. Two key distinctions frame this dilemma and explain its two horns. First, the distinction between speaker’s meaning and reference and semantic meaning and reference reveals a severe implementation problem for one construal of conceptual engineering. Second, the (...) distinction between stipulating meanings and conceptually analyzing allows us to see why, on another construal of what conceptual engineering involves, the practice is neither a new nor neglected philosophical methodology. The article also argues that semantic externalism is not the root of the implementation problem for conceptual engineering, and that the usual rationale for adopting the practice, one that ties its value to the amelioration of “conceptual defects”, is unsound. (shrink)

According to the Value-Neutrality Thesis, technology is morally and politically neutral, neither good nor bad. A knife may be put to bad use to murder an innocent person or to good use to peel an apple for a starving person, but the knife itself is a mere instrument, not a proper subject for moral or political evaluation. While contemporary philosophers of technology widely reject the VNT, it remains unclear whether claims about values in technology are just a figure of speech (...) or nontrivial empirical claims with genuine factual content and real-world implications. This paper provides the missing argument. I argue that by virtue of their material properties, technological artifacts are part of the normative order rather than external to it. I illustrate how values can be empirically identified in technology. The reason why value-talk is not trivial or metaphorical is that due to the endurance and longevity of technological artifacts, values embedded in them have long-term implications that surpass their designers and builders. I further argue that taking sides in this debate has real-world implications in the form of moral constraints on the development of technology. (shrink)

What is the relationship between conceptual engineering and metasemantic externalism? Sally Haslanger has argued that metasemantic externalism justifies the seemingly counterintuitive consequences of her proposed conceptual revisions. But according to Herman Cappelen, metasemantic externalism makes conceptual engineering effectively impossible in practice. After raising objections to Haslanger’s and Cappelen’s views, I argue for a very different picture, on which metasemantic externalism bears very little on conceptual engineering. I argue that, while metasemantic externalism principally operates at the level of semantic-meaning, we should (...) understand conceptual engineering to operate largely at the level of speaker-meaning. This ‘Speaker-Meaning Picture’ has two key benefits. Firstly, it makes conceptual engineering often easy in practice. Secondly, it suggests a new, normative response to the well known objection that conceptual engineering serves only to change the subject. (shrink)

In this paper, in line with the general framework of value-sensitive design, we aim to operationalize the general concept of “Meaningful Human Control” in order to pave the way for its translation into more specific design requirements. In particular, we focus on the operationalization of the first of the two conditions investigated: the so-called ‘tracking’ condition. Our investigation is led in relation to one specific subcase of automated system: dual-mode driving systems. First, we connect and compare meaningful human control with (...) a concept of control very popular in engineering and traffic psychology, and we explain to what extent tracking resembles and differs from it. This will help clarifying the extent to which the idea of meaningful human control is connected to, but also goes beyond, current notions of control in engineering and psychology. Second, we take the systematic analysis of practical reasoning as traditionally presented in the philosophy of human action and we adapt it to offer a general framework where different types of reasons and agents are identified according to their relation to an automated system’s behaviour. This framework is meant to help explaining what reasons and what agents play a role in controlling a given system, thereby enabling policy makers to produce usable guidelines and engineers to design systems that properly respond to selected human reasons. In the final part, we discuss a practical example of how our framework could be employed in designing automated driving systems. (shrink)

In controversies about technology and society, there is no idea more pro vocative than the notion that technical things have political qualities. At issue is the claim that the machines, structures, and systems of modern material culture can be accurately judged not only for their contributions of efficiency and pro-ductivity, not merely for their positive and negative environmental side effects, but also for the ways in which they can embody specific forms of power and authority. Since ideas of this kind (...) have a persistent and troubling presence in discussions about the meaning of technology, they deserve explicit attention... (shrink)

Conceptual engineering is the design, implementation, and evaluation of concepts. Conceptual engineering includes or should include de novo conceptual engineering (designing a new concept) as well as conceptual re-engineering (fixing an old concept). It should also include heteronymous (different-word) as well as homonymous (same-word) conceptual engineering. I discuss the importance and the difficulty of these sorts of conceptual engineering in philosophy and elsewhere.

Future weapons will make life-or-death decisions without a human in the loop. When such weapons inflict unwarranted harm, no one appears to be responsible. There seems to be a responsibility gap. I first reconstruct the argument for such responsibility gaps to then argue that this argument is not sound. The argument assumes that commanders have no control over whether autonomous weapons inflict harm. I argue against this assumption. Although this investigation concerns a specific case of autonomous weapons systems, I take (...) steps towards vindicating the more general idea that superiors can be morally responsible in virtue of being in command. (shrink)

This paper is about conceptual engineering. Specifically, it discusses a common objection to CE, which I call the Discontinuity Objection. According to the Discontinuity Objection, CE leads to problematic discontinuities in subject and/or inquiry – making it philosophically uninteresting or irrelevant. I argue that a conceptual engineer can dismiss the Discontinuity Objection by showing that the pre-engineering concept persists through the proposed changes. In other words, the Discontinuity Objection does not apply if the proposal involves identity-preserving changes. Two existing views (...) on identity-preserving changes are considered and rejected. I then argue that an identity-preserving conceptual change is one that allows the concept to continue to perform its function. A concept’s function is its job, its point and purpose, its role in a conceptual repertoire. In a slogan: Preserve a concept’s function, and you preserve the concept itself; preserve the concept, and you preserve the subject. The paper concludes by discussing some implications of this view. (shrink)

Traditional views on philosophical methodology characterize our primary philosophical goal as production of a successful conceptual analysis. The notion of conceptual analysis, however, faces several challenges—from experimental philosophy to more traditional worries such as the paradox of analysis. This paper explores an alternate approach, commonly called conceptual engineering, which aims at recommending conceptual revisions. An important question for the conceptual engineer is as follows: what counts as a case of successful conceptual engineering? What sorts of revisions are permitted, and what (...) sorts are too revisionary? In this paper I examine ‘functional’ approaches to conceptual engineering, ultimately arguing for a ‘radical’ functionalism according to which even revisions which ‘change the subject’ are permitted, and successful re-engineering is constrained only by the requirement that continuity in needed functions of a pre-engineering concept be maintained somewhere in the postengineering conceptual scheme. I further argue that this approach suggests a heightened role, in metaphilosophical discourse, for a neglected epistemic goal—conceptual efficacy. (shrink)

Why would philosophers interested in the points or functions of our conceptual practices bother with genealogical explanations if they can focus directly on paradigmatic examples of the practices we now have?? To answer this question, I compare the method of pragmatic genealogy advocated by Edward Craig, Bernard Williams, and Miranda Fricker—a method whose singular combination of fictionalising and historicising has met with suspicion—with the simpler method of paradigm-based explanation. Fricker herself has recently moved towards paradigm-based explanation, arguing that it is (...) a more perspicuous way of reaping the same explanatory pay-off as pragmatic genealogy while dispensing with its fictionalising and historicising. My aim is to determine when and why the reverse movement from paradigm-based explanation to pragmatic genealogy remains warranted. I argue that the fictionalising and historicising of pragmatic genealogy is well motivated, and I outline three ways in which the method earns its keep: by successfully handling historically inflected practices which paradigm-based explanation cannot handle; by revealing and arguing for connections to generic needs we might otherwise miss; and by providing comprehensive views of practices that place and relate the respects in which they serve both generic and local needs. (shrink)

This paper is about philosophical disputes where the literal content of what speakers communicate concerns such object-level issues as ground, supervenience, or real definition. It is tempting to think that such disputes straightforwardly express disagreements about these topics. In contrast to this, I suggest that, in many such cases, the disagreement that is expressed is actually one about which concepts should be employed. I make this case as follows. First, I look at non-philosophical, everyday disputes where a speaker employs a (...) metalinguistic usage of a term. This is where a speaker uses a term to express a view about the meaning of that term, or, relatedly, how to correctly use that term. A metalinguistic negotiation is a metalinguistic dispute that concerns a normative issue about what a word should mean, or, similarly, about how it should be used, rather than the descriptive issue about what it does mean. I argue that the same.. (shrink)

Talk of the functions of language or concepts plays a central role in developing an appealing pragmatic approach to conceptual engineering. But some have expressed skepticism that we can make any good sense of the idea of function as applied to concepts or language, or argued that the most we can say is that the function of ‘F’ is to refer to the Fs. In this paper, however, I argue that identifying linguistic functions is not hopeless, and that we can (...) make progress by working at the level of system functions, and drawing on work in systemic functional linguistics. For that enables us to develop a better framework for thinking about the functions that language serves, and the ways its subsystems contribute to those functions. This approach to understanding linguistic functions enables us to develop a pragmatic approach to conceptual engineering that provides standards for conceptual engineering without metaphysical mysteries. It also enables us to make progress in figuring out what functions certain philosophically interesting parts of language serve, and how they are introduced into language, in ways that may disentangle us from a range of old philosophical problems. (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)

ABSTRACTSeveral philosophers have inquired into the metaphysical limits of conceptual engineering: ‘Can we engineer? And if so, to what extent?’. This paper is not concerned with answering these questions. It does concern itself, however, with the limits of conceptual engineering, albeit in a largely unexplored sense: it cares about the normative, rather than about the metaphysical limits thereof. I first defend an optimistic claim: I argue that the ameliorative project has, so far, been too modest; there is little value theoretic (...) reason to restrict the project to remedying deficient representational devices, rather than go on a more ambitious quest: conceptual improvement. That being said, I also identify a limitation to the optimistic claim: I show that the ‘should’ in ameliorative projects suffers from a ‘wrong-kind-of-reasons’ problem. Last but not least, I sketch a proposal of normative constraining meant to address both the above results. The proposal gives primacy to epistemic constraints: accordingly, a concept should be ameliorated only insofar as this does not translate into epistemic loss. (shrink)

Many theorists of conceptual engineering appeal to the functions, roles, purposes or aims of concepts to articulate how conceptual engineering ought to be done. The functional approach to conceptual engineering is well-motivated: It promises a good account of the limits of revision, and of what makes some concept good. In this paper, I raise a problem for the functional approach which concerns the existence of harmful and methodologically insignificant concept functions. I examine whether we can deal with these problematic functions (...) by adopting a technical notion of function. I thus review the prospects for using the notions of a contextually stable function, of a designed function, of a proper function, and of a system function as our operative notion of function. None of them help us resolve the problem. On this basis, I argue that advocates of the functional approach should be committed to a comparatively weak claim, according to which functions must be assessed case-by-case, and that we are best served by employing an unsophisticated notion of function, according to which the function of a concept just is something the concept is used for. (shrink)

It is largely assumed that conceptual engineering is essentially about revising, introducing, or eliminating representational devices, in particular the intension and extension of words and concepts. However, tying conceptual engineering too closely to representations is risky. Not everyone endorses the notion of representation as theoretically helpful or even real. Not everyone thinks that concepts or meanings should be understood in terms of the notion of representation. Does this mean that conceptual engineering is not interesting or relevant for these skeptics? In (...) this paper, I motivate and propose a non-representationalist construal of conceptual engineering. I argue that conceptual engineers can be understood as primarily engineering linguistic entitlements and commitments rather than representational devices. Note that this account is non-representationalist, but explicitly not anti-representationalist. Representations may play a significant role when it comes to justifying and completing commitment engineering projects. (shrink)

According to some philosophers of technology, technology embodies moral values in virtue of its functional properties and the intentions of its designers. But this paper shows that such an account makes the values supposedly embedded in technology epistemically opaque and that it does not allow for values to change. Therefore, to overcome these shortcomings, the paper introduces the novel Affordance Account of Value Embedding as a superior alternative. Accordingly, artefacts bear affordances, that is, artefacts make certain actions likelier given the (...) circumstances. Based on an interdisciplinary perspective that invokes recent moral anthropology, I conceptualize affordances as response-dependent properties. That is, they depend on intrinsic as well as extrinsic properties of the artefact. We have reason to value these properties. Therefore, artefacts embody values and are not value-neutral, which has practical implications for the design of new technologies. (shrink)

The classic programme of conceptual engineering (Cappelen, Herman. 2018. Fixing Language: An Essay on Conceptual Engineering. Oxford: Oxford University Press; Eklund, Matti. 2021. “Conceptual Engineering.” In The Routledge Handbook of Social and Political Philosophy of Language, edited by Justin Khoo, and Rachel Sterken, 15–30. London: Routledge) envisages a two-stage ameliorating process. First, we assess ‘F’ and determine what the term should express. Second, we bring it about that ‘F’ expresses what it should express. The second stage gives rise to a (...) practical challenge: the implementation challenge. Engineering advocates need to explain by what means they can implement specific conceptual changes in the natural language shared by a community – a feat Herman Cappelen (2018. Fixing Language: An Essay on Conceptual Engineering. Oxford: Oxford University Press, 2020; “Conceptual Engineering: The Master Argument.” In Conceptual Engineering and Conceptual Ethics, edited by Alexis Burgess, Herman Cappelen, and David Plunkett, 132–151. Oxford: Oxford University Press) argues to be beyond our understanding and control both on an externalist and on an internalist meta-semantics. I devise a new answer to the implementation challenge. Enlisting the influential theory of social norms by Cristina Bicchieri, I argue that engineering social norms in Bicchieri's technical sense amounts to an effective, specific, and feasible means to implement specific conceptual change, at least on internalist premises. I also argue that Bicchieri's social norms are an essential addition to the more familiar conventions and moral norms when it comes to conceptual engineering. (shrink)