Within contemporary science, it is common practice to compare data points to the average, i.e., to the statistical mean. Because this practice is so familiar, it might at first appear not to be the sort of thing that requires explanation. But recent research in cognitive science and in the history of science gives us reason to adopt the opposite perspective. Cognitive science research on the ways people ordinarily make sense of the world suggests that, instead of using a purely statistical (...) notion of the average, people tend to use a value-laden notion of the normal. Similarly, historical research on the scientific practices used in other time periods indicates that, prior to the nineteenth century, scientists tended to make use of a notion of the normal that was overtly value-laden. These findings give us reason to rethink certain familiar facts about scientific practice. In particular, they suggest that the fact that scientists so often make use of the statistical average should be seen as a highly surprising fact, the sort of thing that calls out for explanation. (shrink)

Within contemporary science, it is common practice to compare data points to the _average_, i.e., to the statistical mean. Because this practice is so familiar, it might at first appear not to be the sort of thing that requires explanation. But recent research in cognitive science gives us reason to adopt the opposite perspective. Research on the cognitive processes involved in people’s ordinary efforts to make sense of the world suggests that, instead of using a purely statistical notion of the (...) average, people tend to use a value-laden notion of the _normal_. This finding about ordinary cognition gives us reason to rethink certain familiar facts about scientific practice. In particular, it suggests that the fact that scientists so often make use of the statistical average should be seen as a highly surprising fact, the sort of thing that calls out for explanation. To understand it, we turn to work in the history of science, and especially to work on the ways in which the practice of science changed over the course of the 19th century. (shrink)

In this article we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change and it contribute to combating the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible exacerbation of social and ethical challenges already associated with AI, and the (...) contribution to climate change of the greenhouse gases emitted by training data and computation-intensive AI systems. We assess the carbon footprint of AI research, and the factors that influence AI’s greenhouse gas (GHG) emissions in this domain. We find that the carbon footprint of AI research may be significant and highlight the need for more evidence concerning the trade-off between the GHG emissions generated by AI research and the energy and resource efficiency gains that AI can offer. In light of our analysis, we argue that leveraging the opportunities offered by AI for global climate change whilst limiting its risks is a gambit which requires responsive, evidence-based and effective governance to become a winning strategy. We conclude by identifying the European Union as being especially well-placed to play a leading role in this policy response and provide 13 recommendations that are designed to identify and harness the opportunities of AI for combating climate change, while reducing its impact on the environment. (shrink)

Initiatives relying on artificial intelligence (AI) to deliver socially beneficial outcomes—AI for social good (AI4SG)—are on the rise. However, existing attempts to understand and foster AI4SG initiatives have so far been limited by the lack of normative analyses and a shortage of empirical evidence. In this Perspective, we address these limitations by providing a definition of AI4SG and by advocating the use of the United Nations’ Sustainable Development Goals (SDGs) as a benchmark for tracing the scope and spread of AI4SG. (...) We introduce a database of AI4SG projects gathered using this benchmark, and discuss several key insights, including the extent to which different SDGs are being addressed. This analysis makes possible the identification of pressing problems that, if left unaddressed, risk hampering the effectiveness of AI4SG initiatives. (shrink)

This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess, to develop, to incentivise, and to support good AI—which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other (...) stakeholders. If adopted, these recommendations would serve as a firm foundation for the establishment of a Good AI Society. (shrink)

Artificial Intelligence (AI) is already having a major impact on society. As a result, many organizations have launched a wide range of initiatives to establish ethical principles for the adoption of socially beneficial AI. Unfortunately, the sheer volume of proposed principles threatens to overwhelm and confuse. How might this problem of ‘principle proliferation’ be solved? In this paper, we report the results of a fine-grained analysis of several of the highest-profile sets of ethical principles for AI. We assess whether these (...) principles converge upon a set of agreed-upon principles, or diverge, with significant disagreement over what constitutes ‘ethical AI.’ Our analysis finds a high degree of overlap among the sets of principles we analyze. We then identify an overarching framework consisting of five core principles for ethical AI. Four of them are core principles commonly used in bioethics: beneficence, non-maleficence, autonomy, and justice. On the basis of our comparative analysis, we argue that a new principle is needed in addition: explicability, understood as incorporating both the epistemological sense of intelligibility (as an answer to the question ‘how does it work?’) and in the ethical sense of accountability (as an answer to the question: ‘who is responsible for the way it works?’). In the ensuing discussion, we note the limitations and assess the implications of this ethical framework for future efforts to create laws, rules, technical standards, and best practices for ethical AI in a wide range of contexts. (shrink)

Eleaticism ties ontology to causality by denying the impossibility of causally inert entities. This paper examines some challenges regarding the proper formulation and general plausibility of Eleaticism. After suggesting how Eleatics ought to respond to these challenges, I consider the prospects for extending Eleaticism from ontology to ideology by requiring all primitive ideology to be causal in nature. Surprisingly enough, the resulting view delivers an eternalist and possibilist metaphysical picture in the neighborhood of Lewisian modal realism.

The idea of artificial intelligence for social good is gaining traction within information societies in general and the AI community in particular. It has the potential to tackle social problems through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially good in theory, what counts as AI4SG in practice, and how to reproduce its initial successes in terms of policies. This article addresses this gap by identifying seven ethical factors that are (...) essential for future AI4SG initiatives. The analysis is supported by 27 case examples of AI4SG projects. Some of these factors are almost entirely novel to AI, while the significance of other factors is heightened by the use of AI. From each of these factors, corresponding best practices are formulated which, subject to context and balance, may serve as preliminary guidelines to ensure that well-designed AI is more likely to serve the social good. (shrink)

In July 2017, China’s State Council released the country’s strategy for developing artificial intelligence, entitled ‘New Generation Artificial Intelligence Development Plan’. This strategy outlined China’s aims to become the world leader in AI by 2030, to monetise AI into a trillion-yuan industry, and to emerge as the driving force in defining ethical norms and standards for AI. Several reports have analysed specific aspects of China’s AI policies or have assessed the country’s technical capabilities. Instead, in this article, we focus on (...) the socio-political background and policy debates that are shaping China’s AI strategy. In particular, we analyse the main strategic areas in which China is investing in AI and the concurrent ethical debates that are delimiting its use. By focusing on the policy backdrop, we seek to provide a more comprehensive and critical understanding of China’s AI policy by bringing together debates and analyses of a wide array of policy documents. (shrink)

That AI will have a major impact on society is no longer in question. Current debate turns instead on how far this impact will be positive or negative, for whom, in which ways, in which places, and on what timescale. In order to frame these questions in a more substantive way, in this prolegomena we introduce what we consider the four core opportunities for society offered by the use of AI, four associated risks which could emerge from its overuse or (...) misuse, and the opportunity costs associated with its under use. We then offer a high-level view of the emerging advantages for organisations of taking an ethical approach to developing and deploying AI. Finally, we introduce a set of five principles which should guide the development and deployment of AI technologies. The development of laws, policies and best practices for seizing the opportunities and minimizing the risks posed by AI technologies would benefit from building on ethical frameworks such as the one offered here. (shrink)

Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016, 2016). The goals are to contribute to the debate on the identification and analysis of the ethical implications of algorithms, to provide an updated analysis of epistemic and normative (...) concerns, and to offer actionable guidance for the governance of the design, development and deployment of algorithms. (shrink)

Technologies to rapidly alert people when they have been in contact with someone carrying the coronavirus SARS-CoV-2 are part of a strategy to bring the pandemic under control. Currently, at least 47 contact-tracing apps are available globally. They are already in use in Australia, South Korea and Singapore, for instance. And many other governments are testing or considering them. Here we set out 16 questions to assess whether — and to what extent — a contact-tracing app is ethically justifiable.

Attributions of omnipresence, most familiar within the philosophy of religion, typically take the omnipresence of an entity to either consist in that entity's occupation of certain regions or be dependent upon other of that entity's attributes, such as omnipotence or omniscience. This paper defends an alternative conception of omnipresence that is independent of other purported divine attributes and dispenses with occupation. The resulting view repurposes the metaphysics of necessitism and permanentism, taking omnipresent entities to be those entities that exist at (...) all regions. This view is then shown to best accommodate attributions of omnipresence to a diverse range of metaphysical posits, like abstract entities, and a more diverse class of religious posits. (shrink)

Mereological realism holds that the world has a mereological structure – i.e. a distribution of mereological properties and relations. In this article, I defend Eleaticism about properties, according to which there are no causally inert non-logical properties. I then present an Eleatic argument for mereological anti-realism, which denies the existence of both mereological composites and mereological simples. After defending Eleaticism and mereological anti-realism, I argue that mereological anti-realism is preferable to mereological nihilism. I then conclude by examining the thesis that (...) composition is identity and noting its consequences for the question of mereological structure. (shrink)

The possibility of employing human enhancement interventions to aid in future space missions has been gaining attention lately. These possibilities have included one of the more controversial kinds of enhancements: biomedical moral enhancement. However, the discussion has thus far remained on a rather abstract level. In this paper we further this conversation by looking more closely at what type of interventions with what sort of effects we should expect when we are talking about biomedical moral enhancements. We suggest that a (...) more grounded way to picture moral enhancement, at least in the near term, is to envision a form of cognitive enhancement that also provides some moral benefits by heightening the enhanced person's capability for acting according to their own subjective moral code. While this concept of moral adherence enhancement also has relevance for the moral enhancement discussion more widely, in this paper we apply it specifically in the context of space missions. We argue that there are weighty reasons to consider making biomedical enhancements of the proposed kind a mandatory feature of early-phase long-distance space travel because these missions are high-stakes in nature and take place in an environment where the enhancement could be seen as conferring important advantages while negating many of the traditional arguments weighed against it. (shrink)

Discussion of atomistic and monistic theses about abstract reality.

Lynne Baker’s case for the incompatibility of naturalism with the first-person perspective raises a range of questions about the relationship between naturalism and the various properties involved in first-person perspectives. After arguing that non-qualitative properties—most notably, haecceities like being Lynne Baker—are ineliminably tied to first-person perspectives, this paper considers whether naturalism and non-qualitative properties are, in fact, compatible. In doing so, the discussion focus on Shamik Dasupgta’s argument against individuals and, in turn, non-qualitative properties. Several strategies for undermining Dasgupta's argument (...) are considered, drawing on de re laws and haecceitistic possibilities. Finally, an analogy is drawn between naturalism and platonism regarding mathematical entities and naturalism's parallel commitment to individuals. I conclude that naturalists are obliged to posit non-qualitative properties. (shrink)

In this paper, I defend an indexical analysis of the abstract-concrete distinction within the framework of modal realism. This analysis holds the abstract-concrete distinction to be conceptually inseparable from the distinction between the actual and the merely possible, which is assumed to be indexical in nature. The resulting view contributes to the case for modal realism by demonstrating how its distinctive resources provide a reductive analysis of the abstract-concrete distinction. This indexical analysis also provides a solution to a sceptical problem (...) regarding our concreteness, which parallels the sceptical problem that motivates indexicalism about actuality. (shrink)

I argue that directing is a more fundamental kind of speech act than asserting, in the sense that the conditions under which an act counts as an assertion are sufficient for that act to count as a directive. I show how this follows from a particular way of conceiving intentionalism about speech acts, on which acts of assertion are attempts at changing a common body of information – or conversational common ground – maintained by conversational participants’ practical attitude of acceptance. (...) I suggest that the function of assertion is not to share information, but to signal that we can be relied on to act as though some information is true, and to foster that same reliability in others. (shrink)

This paper examines some of the interactions between holism, contextualism, and externalism, and will argue that an externalist metasemantics that grounds itself in certain plausible assumptions about self- knowledge will also be a contextualist metasemantics, and that such a contextualist metasemantics in turn resolves one of the best known problems externalist theories purportedly have with self-knowledge, namely the problem of how the possibility of various sorts of ‘switching’ cases can appear to undermine the ‘transparency’ of our thoughts (in particular, our (...) ability to tell, with respect to any two occurrent thoughts, whether they exercise the same or different concepts). (shrink)

The gig economy is a phenomenon that is rapidly expanding, redefining the nature of work and contributing to a significant change in how contemporary economies are organised. Its expansion is not unproblematic. This article provides a clear and systematic analysis of the main ethical challenges caused by the gig economy. Following a brief overview of the gig economy, its scope and scale, we map the key ethical problems that it gives rise to, as they are discussed in the relevant literature. (...) We map them onto three categories: the new organisation of work (what is done), the new nature of work (how it is done), and the new status of workers (who does it). We then evaluate a recent initiative from the EU that seeks to address the challenges of the gig economy. The 2019 report of the European High-Level Expert Group on the Impact of the Digital Transformation on EU Labour Markets is a positive step in the right direction. However, we argue that ethical concerns relating to algorithmic systems as mechanisms of control, and the discrimination, exclusion and disconnectedness faced by gig workers require further deliberation and policy response. A brief conclusion completes the analysis. The appendix presents the methodology underpinning our literature review. (shrink)

In his 2004 article “Hannah Arendt and Jean Baudrillard: Pedagogy in the Consumer Society,” Trevor Norris bemoans the degree to which contemporary education’s focus can increasingly be described as primarily nurturing “consumers in training.” He goes on to add that the consequences of such “mindless” consumerism is that it “erodes democratic life, reduces education to the reproduction of private accumulation, prevents social resistance from expressing itself as anything other than political apathy, and transforms all human relations into commercial transactions of (...) calculated exchange.” This, then, is the challenge of the age: to articulate the sort of education that might prompt our youngsters to imagine a genuine alternative to this consumer madness—a challenge that the authors of this paper attempt to tackle. (shrink)

In light of recent breakneck pace in machine learning, questions about whether near-future artificial systems might be conscious and possess moral status are increasingly pressing. This paper argues that as matters stand these debates lack any clear criteria for resolution via the science of consciousness. Instead, insofar as they are settled at all, it is likely to be via shifts in public attitudes brought about by the increasingly close relationships between humans and AI users. Section 1 of the paper I (...) briefly lays out the current state of the science of consciousness and its limitations insofar as these pertain to machine consciousness, and claims that there are no obvious consensus frameworks to inform public opinion on AI consciousness. Section 2 examines the rise of conversational chatbots or Social AI, and argues that in many cases, these elicit strong and sincere attributions of consciousness, mentality, and moral status from users, a trend likely to become more widespread. Section 3 presents an inconsistent triad for theories that attempt to link consciousness, behaviour, and moral status, noting that the trends in Social AI systems will likely make the inconsistency of these three premises more pressing. Finally, Section 4 presents some limited suggestions for how consciousness and AI research communities should respond to the gap between expert opinion and folk judgment. (shrink)

To the extent that William James had an account of ‘meaning,’ it is best captured in his “pragmatic maxim”, but James’s maxim has notoriously been open to many conflicting interpretations. It will be argued here that some of these interpretive difficulties stem from the fact that (1) James seriously understates the differences between his own views and those presented by Peirce in “How to Make our Ideas Clear”, and (2) James’s understanding of the maxim typically ties meaning to truth, but (...) since James takes “truth” talk to stretch from “temporary” to “absolute” truth, a similar ‘elasticity’ can be found in his conception of meaning. However, this ‘elasticity’ is found in our everyday talk of meaning as well, and James manages to capture it in a more cohesive way than more contemporary accounts that often try to do so by positing two completely distinct types of meaning or content. (shrink)

In our day-to-day lives, we form responsibility judgements about one another – but we are imperfect beings, and our judgments can be mistaken. This paper suggests that we get things wrong not merely by chance, but predictably and systematically. In particular, these miscues are common when we are dealing with large gaps in social status and power. That is, when we form judgements about those who are much more or less socially powerful than ourselves, it is increasingly likely that “epistemic (...) distorters” will reliably disrupt our reasoning. In response to this situation, I argue for the introduction of a new norm concerning blame and social status: “Powerful Restraint.” This norm suggests that the socially powerful ought to blame the socially dispossessed less frequently, and that social pressure be applied to achieve that compliance. I argue that such a norm is justified given the pernicious down-stream moral effects of the up-stream epistemic distortion I describe. I defend it against objections that it suggests a normative solution to an epistemic problem, that it is paternalistic, and that it involves a kind of disrespect to the less socially powerful. (shrink)

Henri Lefebvre has considerable claims to be the greatest living philosopher. His work spans some sixty years and includes original work on a diverse range of subjects, from dialectical materialism to architecture, urbanism and the experience of everyday life. The Production of Space is his major philosophical work and its translation has been long awaited by scholars in many different fields. The book is a search for a reconciliation between mental space and real space. In the course of his exploration, (...) Henri Lefebvre moves from metaphysical and ideological considerations of the meaning of space to its experience in the everyday life of home and city. He seeks, in other words, to bridge the gap between the realms of theory and practice, between the mental and the social, and between philosophy and reality. In doing so, he ranges through art, literature, architecture and economics, and further provides a powerful antidote to the sterile and obfuscatory methods and theories characteristic of much recent continental philosophy. This is a work of great vision and incisiveness. It is also characterized by its author's wit and by anecdote, as well as by a deftness of style which Donald Nicholson-Smith's sensitive translation precisely captures. (shrink)

This paper presents an overview of the risks and benefits of Social AI, understood as conversational AI systems that cater to human social needs like romance, companionship, or entertainment. Section 1 of the paper provides a brief history of conversational AI systems and introduces conceptual distinctions to help distinguish varieties of Social AI and pathways to their deployment. Section 2 of the paper adds further context via a brief discussion of anthropomorphism and its relevance to assessment of human-chatbot relationships. Section (...) 3 of the paper provides a survey of potential and in some cases demonstrated harms associated with user interactions with Social AI systems. Finally, Section 4 discusses how the benefits and harms of Social AI can best be addressed, with a primary focus on how frameworks from AI ethics can inform their development. (shrink)

I introduce game-theoretic models for threats to the discussion of threats in speech act theory. I first distinguish three categories of verbal threats: conditional threats, categorical threats, and covert threats. I establish that all categories of threats can be characterized in terms of an underlying conditional structure. I argue that the aim—or illocutionary point—of a threat is to change the conditions under which an agent makes decisions in a game. Threats are moves in a game that instantiate a subgame in (...) which the addressee is ‘under threat’. (shrink)

The philosophy of biomimicry, I argue, consists of four main areas of inquiry. The first, which has already been explored by Freya Mathews, concerns the “deep” question of what Nature ultimately is. The second, third, and fourth areas correspond to the three basic principles of biomimicry as laid out by Janine Benyus. “Nature as model” is the poetic principle of biomimicry, for it tells us how it is that things are to be “brought forth”. “Nature as measure” is the ethical (...) principle of biomimicry, for it tells us that Nature places ethical limits or standards on what it is possible for us to accomplish. And “Nature as mentor” is the epistemological principle of biomimicry, for it affirms that Nature is the ultimate source of truth, wisdom, and freedom from error. Within this overall framework, I argue that seeing Nature as physis—understood as “self-production” or “self-placing-into-the-open”—constitutes the requisite ground for the poetic, ethical, and epistemological principles of biomimicry, and that biomimicry thus conceived involves a new philosophical paradigm, which I call “enlightened naturalism”. (shrink)

Attitude verbs like ‘believe’ and ‘want’ exhibit neg-raising: an ascription of the form a doesn’t believe that p tends to convey that a disbelieves—i.e., believes the negation of—p. In ‘Belief is Weak’, Hawthore et al. observe that neg-raising does not occur with verbs like ‘know’ or ‘need’. According to them, an ascription of the form a believes that p is true just in case a is in a belief state that makes p more likely than not, and so—excepting cases of (...) complete indifference—a will either believe p or disbelieve p. I expand and revise this explanation: so-called ‘weak’ attitude verbs are used in ascriptions of an opinion about some subject matter S—a kind of selection from among the elements of S—and these ascriptions are themselves responsive to conversational topics that presuppose that the subject of the ascription has an opinion about S. ‘Strong’ attitude verbs denote more direct relationships between subject and world. (shrink)

We are often justified in acting on the basis of evidential confirmation. I argue that such evidence supports belief in non-quantificational generic generalizations, rather than universally quantified generalizations. I show how this account supports, rather than undermines, a Bayesian account of confirmation. Induction from confirming instances of a generalization to belief in the corresponding generic is part of a reasoning instinct that is typically (but not always) correct, and allows us to approximate the predictions that formal epistemology would make.

Ascriptions of content are sensitive not only to our physical and social environment, but also to unforeseeable developments in the subsequent usage of our terms. This paper argues that the problems that may seem to come from endorsing such 'temporally sensitive' ascriptions either already follow from accepting the socially and historically sensitive ascriptions Burge and Kripke appeal to, or disappear when the view is developed in detail. If one accepts that one's society's past and current usage contributes to what one's (...) terms mean, there is little reason not to let its future usage to do so as well. (shrink)

How seriously should we take the idea that the mind employs mental files? Goodman and Gray (2022) argue that mental filing – a thinker rationally treating her cognitive states as being about the same thing – can be explained without files. Instead, they argue that the standard commitments of mental file theory, as represented by Recanati’s indexical model, are better seen in terms of a relational representational feature of object representations, which in turn is based on the epistemic links a (...) thinker bears to objects. This paper argues that this revision is misguided. Neither the representational property nor any basic role for epistemic links are needed for an adequate explanatory theory that makes use of the image of a mental filing system. A better alternative to the indexical model does posit files, albeit as causal-functional entities. This makes additional representational features redundant, and shows that epistemic links play a secondary role. (shrink)

A general article discussing philosophical issues arising in connection with Aristotle's "Generation of Animals" (Chapter from Blackwell's Companion to Aristotle).

Coordination in thought is the treatment of beliefs by the believer as being about the same thing. Such treatment can be indirect, via an identity belief, or direct. Direct coordination presents a problem concerning how this treatment is justified. Dickie accounts for the justification of coordination in terms of aptness to a motivational state: coordination serves to fulfil a need to represent things outside the mind. I argue that this account gets the problem coordination presents wrong, and so does not (...) present an adequate solution. While the material of that account may be reconfigured to provide a more promising proposal, I argue that this depends on a specious psychology of belief, and will anyway end up being circular. I propose an account that, while similar in some ways, improves on both the official and reconfigured Dickie-style accounts, and points to some broader conclusions about the nature of rational cognition. (shrink)

This paper proposes a novel conception of mental files, aimed at addressing Frege puzzles. Classical Frege puzzles involve ignorance and discovery of identity. These may be addressed by accounting for a more basic way for identity to figure in thought—the treatment of beliefs by the believer as being about the same thing. This manifests itself in rational inferences that presuppose the identity of what the beliefs are about. Mental files help to provide a functional characterization of a mind capable of (...) this presupposition, but more must be said to show how it may be rational. I argue that this can be done by drawing out the way in which mental files interact with a thinker's motivational states and so come to have normative functional properties. I show how this theory works better than some other treatments of mental files. (shrink)

ABSTRACT Act-based theories of content hold that propositions are identical to acts of predication that we perform in thought and talk. To undergo an occurrent thought with a particular content is just to perform the act of predication that individuates that content. But identifying the content of a thought with the performance of an act of predication makes it difficult to explain the intentionality of bouletic mental activity, like wanting and desiring. In this paper, I argue that this difficulty is (...) insurmountable: the contents of occurrent desires cannot be determined by acts of predication. (shrink)

ABSTRACT Our ascriptions of content to past utterances assign to them a level of conceptual continuity and determinacy that extends beyond what could be grounded in the usage up to their time of utterance. If one accepts such ascriptions, one can argue either that future use must be added to the grounding base, or that such cases show that meaning is not, ultimately, grounded in use. The following will defend the first option as the more promising of the two, though (...) this ultimately requires understanding the relation between use and meaning as ‘normative’ in two important ways. The first way is that the function from use to meaning must be of a sort that allows us to maintain a robust distinction between actual and correct use. The second sort of normativity is unique to theories that extend the grounding base into the future. In particular, if meaning is partially a function of future use, we can see our commitment to the ‘determinacy’ of meaning as a practical commitment that structures our linguistic practices rather than a theoretical commitment that merely describes them. (shrink)

Triviality arguments against the computational theory of mind claim that computational implementation is trivial and thus does not serve as an adequate metaphysical basis for mental states. It is common to take computational implementation to consist in a mapping from physical states to abstract computational states. In this paper, I propose a novel constraint on the kinds of physical states that can implement computational states, which helps to specify what it is for two physical states to non-trivially implement the same (...) computational state. (shrink)

Historically embryogenesis has been among the most philosophically intriguing phenomena. In this paper I focus on one aspect of biological development that was particularly perplexing to the ancients: self-organisation. For many ancients, the fact that an organism determines the important features of its own development required a special model for understanding how this was possible. This was especially true for Aristotle, Alexander, and Simplicius, who all looked to contemporary technology to supply that model. However, they did not all agree on (...) what kind of device should be used. In this paper I explore the way these ancients made use of technology as a model for the developing embryo. I argue that their different choices of device reveal fundamental differences in the way each thinker understood the nature of biological development itself. In the final section of the paper I challenge the traditional view (dating back to Alexander's interpretation of Aristotle) that the use of automata in GA can simply be read off from their use in the de motu. (shrink)

There has frequently been taken to be a tension, if not an incompatibility, between "externalist" theories of content (which allow the make-up of one's physical environment and the linguistic usage of one's community to contribute to the contents of one's thoughts and utterances) and the "methodologically individualist" intuition that whatever contributes to the content of one's thoughts and utterances must ultimately be grounded in facts about one's own attitudes and behavior. In this dissertation I argue that one can underwrite such (...) externalist theories within a methodologically individualistic framework by understanding semantic norms in terms of the need to reach, for each of one's terms, a type of "equilibrium." Each speaker's commitment to making her _own_ beliefs and applications consistent allows one to incorporate these 'external' factors into the contents of their thoughts and utterances in a way that remains methodologically individualistic. Methodologically individualistic accounts are typically taken to be unable to incorporate 'external' factors such as the world's physical make-up or communal usage because of arguments suggesting that the individual's own beliefs and usage underdetermine or even misidentify what, according to externalist accounts, they mean by their terms. These arguments, however, only seem plausible if one presupposes a comparatively impoverished conception of the individual's beliefs. The beliefs a speaker associates with a given term extend far beyond the handful of sentences they would produce if asked to list such beliefs. In particular, speakers have an implicit, but rich, understanding of their language, their world, and the relation between them. Speakers typically understand languages as shared temporally extended practices about which they can be, both individually and collectively, mistaken. Once this conception of language is taken into account, the ascriptions which purportedly forced 'non-individualistic' conceptions of content upon us (particularly ascriptions which seemed to tie what we meant to social use rather than our own beliefs) turn out to be ultimately grounded in the individual's own beliefs. Indeed, our self-conception does much more than merely underwrite 'non-individualistic' ascriptions.. (shrink)

Temporal externalists argue that ascriptions of thought and utterance content can legitimately reflect contingent conceptual developments that are only settled after the time of utterance. While the view has been criticized for failing to accord with our “ordinary linguistic practices”, such criticisms (1) conflate our ordinary ascriptional practices with our more general beliefs about meaning, and (2) fail to distinguish epistemically from pragmatically motivated linguistic changes. Temporal externalism relates only to the former sort of changes, and the future usage relevant (...) to what we mean reflects reason-driven practices that are rational for us to defer to. (shrink)

This paper argues that popular criticisms of semantic holism (such as that it leaves the ideas of translation, disagreement and change of mind problematic) are more properly directed at an "instability assumption" which, while often associated with holism, can be separated from it. The versions of holism that follow from 'interpretational' account of meaning are not committed to the instability assumption and can thus avoid many of the problems traditionally associated with holism.

While philosophers of language have traditionally relied upon their intuitions about cases when developing theories of reference, this methodology has recently been attacked on the grounds that intuitions about reference, far from being universal, show significant cultural variation, thus undermining their relevance for semantic theory. I’ll attempt to demonstrate that (1) such criticisms do not, in fact, undermine the traditional philosophical methodology, and (2) our underlying intuitions about the nature of reference may be more universal than the authors suppose.

This article identifies a novel challenge to standard understandings of responsibility practices, animated by experimental studies of biases and heuristics. It goes on to argue that this challenge illustrates a general methodological challenge for theorizing about responsibility. That is, it is difficult for a theory to give us both guidance in real world contexts and an account of the metaphysical and normative foundations of responsibility without treating wide swaths of ordinary practice as defective. The general upshot is that theories must (...) either hew more closely to actual practice than they appear to, or they must provide some normative foundation for responsibility that does not go through actual practice. (shrink)

Healthcare systems across the globe are struggling with increasing costs and worsening outcomes. This presents those responsible for overseeing healthcare with a challenge. Increasingly, policymakers, politicians, clinical entrepreneurs and computer and data scientists argue that a key part of the solution will be ‘Artificial Intelligence’ (AI) – particularly Machine Learning (ML). This argument stems not from the belief that all healthcare needs will soon be taken care of by “robot doctors.” Instead, it is an argument that rests on the classic (...) counterfactual definition of AI as an umbrella term for a range of techniques that can be used to make machines complete tasks in a way that would be considered intelligent were they to be completed by a human. Automation of this nature could offer great opportunities for the improvement of healthcare services and ultimately patients’ health by significantly improving human clinical capabilities in diagnosis, drug discovery, epidemiology, personalised medicine, and operational efficiency. However, if these AI solutions are to be embedded in clinical practice, then at least three issues need to be considered: the technical possibilities and limitations; the ethical, regulatory and legal framework; and the governance framework. In this article, we report on the results of a systematic analysis designed to provide a clear overview of the second of these elements: the ethical, regulatory and legal framework. We find that ethical issues arise at six levels of abstraction (individual, interpersonal, group, institutional, sectoral, and societal) and can be categorised as epistemic, normative, or overarching. We conclude by stressing how important it is that the ethical challenges raised by implementing AI in healthcare settings are tackled proactively rather than reactively and map the key considerations for policymakers to each of the ethical concerns highlighted. (shrink)

The purpose of this paper is to motivate and defend a recognizable version of N. L. Wilson's "Principle of Charity" Doing so will involve: (1) distinguishing it fromthe significantly different versions of the Principle familiar through the work of Quine and Davidson; (2) showing that it is compatible with, among other things, both semantic externalism and "simulation" accounts of interpretation; and (3) explaining how it follows from plausible constraints relating to the connection between interpretation and self-interpretation. Finally, it will be (...) argued that Charity represents a type of "minimal individualism" that is closely tied to first person authority, and that endorsing Charity in our interpretations of others reflects a commitment to capturing, from the third-person starting point, their first-personal point of view. (shrink)

A number of philosophers have become interested in the ways that individuals are subject to harm as the performers of illocutionary acts. This paper offers an account of the underlying structure of such harms: I argue that speakers are the subjects of illocutionary harm when there is interference in the entitlement structure of their linguistic activities. This interference comes in two forms: denial and incapacitation. In cases of denial, a speaker is prevented from achieving the outcomes to which they are (...) entitled by their speech. In cases of incapacitation, a speaker’s standing to expect certain outcomes is itself undermined. I also discuss how individual speakers are subject to interference along two dimensions: as exercisers of certain non-linguistic capacities, and as producers of meaningful speech. (shrink)