In her BBC Reith Lectures on Trust, Onora O’Neill offers a short, but biting, criticism of transparency. People think that trust and transparency go together but in reality, says O'Neill, they are deeply opposed. Transparency forces people to conceal their actual reasons for action and invent different ones for public consumption. Transparency forces deception. I work out the details of her argument and worsen her conclusion. I focus on public transparency – that is, transparency (...) to the public over expert domains. I offer two versions of the criticism. First, the epistemic intrusion argument: The drive to transparency forces experts to explain their reasoning to non-experts. But expert reasons are, by their nature, often inaccessible to non-experts. So the demand for transparency can pressure experts to act only in those ways for which they can offer public justification. Second, the intimate reasons argument: In many cases of practical deliberation, the relevant reasons are intimate to a community and not easily explicable to those who lack a particular shared background. The demand for transparency, then, pressures community members to abandon the special understanding and sensitivity that arises from their particular experiences. Transparency, it turns out, is a form of surveillance. By forcing reasoning into the explicit and public sphere, transparency roots out corruption — but it also inhibits the full application of expert skill, sensitivity, and subtle shared understandings. The difficulty here arises from the basic fact that human knowledge vastly outstrips any individual’s capacities. We all depend on experts, which makes us vulnerable to their biases and corruption. But if we try to wholly secure our trust — if we leash groups of experts to pursuing only the goals and taking only the actions that can be justified to the non-expert public — then we will undermine their expertise. We need both trust and transparency, but they are in essential tension. This is a deep practical dilemma; it admits of no neat resolution, but only painful compromise. (shrink)

The chapter focuses on attributions of the transparency of thought to early modern figures, most notably Descartes. Many recent philosophers assume that Descartes believed the mind to be “transparent”: since all mental states are conscious, we are therefore aware of them all, and indeed incorrigibly know them all. Descartes, and Berkeley too, do make statements that seem to endorse both aspects of the transparency theses (awareness of all mental states; incorrigibility). However, they also make systematic theoretical statements that (...) directly countenance “unnoticed” thoughts or mental states, that is, thoughts or mental states of which the subject is unaware and has no knowledge. Descartes, having identified the essence of mind with thought or representation, distinguishes bare states of mind from states of which we have reflective awareness, thereby providing a theoretical tool for understanding both his seeming endorsement of transparency and his actual denial of it: Descartes distinguished between a basic perceptual state, or a basic awareness, and reflectively conscious states that involve explicit noticing and cognizing on the part of the subject. Leibniz (as is better known) directly endorsed a similar distinction between bare perception and reflective consciousness, using the term “perception” for the first and “apperception” for the second. In these cases, bare perceptions are not transparently available to the subject, and so in fact the subject does not have knowledge, hence does not have incorrigible knowledge, of all its occurrent mental states. This chapter gives evidence to support these claims; elaborates the complex psychology of the subject found in Descartes and other early moderns; and notes some ways in which these early moderns contributed to the genesis of the modern subject. Finally, it compares McDowell’s conception of the Cartesian mind with the conceptions of mind found in the writings of Descartes, Berkeley, and Leibniz, finding that his characterization caricatures the positions of early modern philosophers. McDowell's characterization has four elements: consciousness as essence of mind; intentionality as exclusively mental; the veil of perception; and the transparency of mind. Only the second point, about intentionality, fully fits Descartes. As a consequence of his own misdirection, McDowell misses the actual basis of his difficulty in connecting mind with world, which arises from a point of agreement between him and Descartes: the removal of intentionality from material sensory systems. But whereas Descartes could relocate (nonconceptual) sensory intentionality in mental states, McDowell is left to account for it with his overly cognitivized scheme of perceptual content as exclusively conceptual. (Paper first given at the European Society for Early Modern Philosophy, 2007.). (shrink)

The paper argues that Gareth Evans’ argument for transparent self-knowledge is based on a conflation of doxastic transparency with ascriptive transparency. Doxastic transparency means that belief about one’s own doxastic state, e.g., the belief that one thinks that it will rain, can be warranted by ordinary empirical observation, e.g., of the weather. In contrast, ascriptive transparency says that self-ascriptions of belief, e.g., “I believe it will rain”, can be warranted by such observation. We first show that (...) the thesis of doxastic transparency is ill-motivated and then offer a non-epistemic interpretation of ascriptive transparency by reference to the theory of explicit expressive acts: “I think it will rain” requires attendance to the weather because the utterance expresses a belief about the weather, not about ourselves. This will allow us to avoid what is often called “the puzzle of transparent self-knowledge” while remaining faithful to Evans’ linguistic observations. (shrink)

The paper argues that Gareth Evans’ argument for transparent self-knowledge is based on a conflation of doxastic transparency with ascriptive transparency. Doxastic transparency means that belief about one’s own doxastic state, e.g., the belief that one thinks that it will rain, can be warranted by ordinary empirical observation, e.g., of the weather. In contrast, ascriptive transparency says that self-ascriptions of belief, e.g., “I believe it will rain”, can be warranted by such observation. We first show that (...) the thesis of doxastic transparency is ill-motivated and then offer a non-epistemic interpretation of ascriptive transparency by reference to the theory of explicit expressive acts: “I think it will rain” requires attendance to the weather because the utterance expresses a belief about the weather, not about ourselves. This will allow us to avoid what is often called “the puzzle of transparent self-knowledge” while remaining faithful to Evans’ linguistic observations. (shrink)

The paper argues that Gareth Evans’ argument for transparent self-knowledge is based on a conflation of doxastic transparency with ascriptive transparency. Doxastic transparency means that belief about one’s own doxastic state, e.g., the belief that one thinks that it will rain, can be warranted by ordinary empirical observation, e.g., of the weather. In contrast, ascriptive transparency says that self-ascriptions of belief, e.g., “I believe it will rain”, can be warranted by such observation. We first show that (...) the thesis of doxastic transparency is ill-motivated and then offer a non-epistemic interpretation of ascriptive transparency by reference to the theory of explicit expressive acts: “I think it will rain” requires attendance to the weather because the utterance expresses a belief about the weather, not about ourselves. This will allow us to avoid what is often called “the puzzle of transparent self-knowledge” while remaining faithful to Evans’ linguistic observations. (shrink)

The paper investigates the ethics of information transparency (henceforth transparency). It argues that transparency is not an ethical principle in itself but a pro-ethical condition for enabling or impairing other ethical practices or principles. A new definition of transparency is offered in order to take into account the dynamics of information production and the differences between data and information. It is then argued that the proposed definition provides a better understanding of what sort of information should (...) be disclosed and what sort of information should be used in order to implement and make effective the ethical practices and principles to which an organisation is committed. The concepts of “heterogeneous organisation” and “autonomous computational artefact” are further defined in order to clarify the ethical implications of the technology used in implementing information transparency. It is argued that explicit ethical designs, which describe how ethical principles are embedded into the practice of software design, would represent valuable information that could be disclosed by organisations in order to support their ethical standing. (shrink)

This book argues that we misunderstand the importance of the topic of self-knowledge if we conceive of it merely as a puzzle about how we can know a special range of facts. Instead, we should regard it as an inducement to reflect on the nature of the relevant facts themselves, and of the kind of mind of which they hold. In this sense, the interest of the topic of self-knowledge is metaphysical rather than merely epistemological: its primary importance lies in (...) the light it can shed on what our minds are, rather than just on how we come to know certain facts about them. Appreciating this point puts us in a position to see a link between debates about how we know our own minds and the dark but intriguing idea that Jean-Paul Sartre expressed in his remark that, for a human being, "to exist is always to assume its being" in a way that implies "an understanding of human reality by itself." An implication of thus Sartrean standpoint on self-awareness, I argue, is that our primary form of self-awareness must be transparent: its focus must be, not on ourselves, but on aspects of the non-mental world presented in a way that is informed by an implicit self-awareness. Nevertheless-as I go on to argue-we are necessarily capable of transforming this implicit self-awareness, through reflection, into an explicit understanding of ourselves and our own mental states. (shrink)

In this paper I consider the project of offering an evolutionary debunking explanation for transparency in doxastic deliberation. I examine Nicole Dular and Nikki Fortier’s (2021) attempt at such a project. I suggest that their account faces a dilemma. On the one horn, their explanation of transparency involves casting our mechanisms for belief formation as solely concerned with truth. I argue that this is explanatorily inadequate when we take a wider view of our belief formation practices. I show (...) that Dular and Fortier overstate the extent to which adaptive non-evidentially supported beliefs are rare, and the implausibility of disjunctive evolutionary systems. They should allow a role for the non-truth directed behaviour of our mechanisms of belief formation. On the other hand, we might restrict the explanation offered by Dular and Fortier to the deliberative context, that is, we might understand them as allowing for non-evidential belief formation outside of the deliberative context, but as identifying the key to explaining transparency in the truth-directed evolutionary mechanisms as they operate in the deliberative context. However, this would land them on the second horn of the dilemma: we would then have no different an explanation to one I have offered elsewhere (2018), an explanation which Dular and Fortier explicitly put aside as engaged in a project different from their own. I finish by briefly considering some broader implications relating to explaining transparency, the nature of belief, and the prospects for pragmatism. I conclude that Dular and Fortier’s debunking explanation of transparency bestows an implausible role for truth in fixing our beliefs, or, if it doesn’t, then we simply have the restatement of a view explicitly disavowed by the authors. We are left, then, with an explanation we ought not want, or an explanation we already had. (shrink)

Durán et al argue in ‘Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI’1 that traditionally proposed solutions to make black box machine learning models in medicine less opaque and more transparent are, though necessary, ultimately not sufficient to establish their overall trustworthiness. This is because transparency procedures currently employed, such as the use of an interpretable predictor,2 cannot fully overcome the opacity of such models. Computational reliabilism, an alternate approach (...) to adjudicating trustworthiness that goes beyond transparency solutions, is argued to be a more promising approach. CR can bring the benefits of traditional process reliabilism in epistemology to bear on this problem of model trustworthiness. Durán et al ’s explicitly reliabilist epistemology to assess the trustworthiness of black box models is a timely addition to current transparency-focused approaches in the literature. Their delineation of the epistemic from the ethical also serves the debate by clarifying the nature of the different problems. However, their overall account underestimates the epistemic value of certain transparency-enabling approaches by conflating different types of opacity and also oversimplifies transparency-advocating arguments in the literature. First, it is unclear why Durán et al consider transparency approaches as insufficient to overcome epistemic opacity, if heiraccount of opacity is the traditional one from the machine learning literature: opacity stemming from the mismatch between mathematical optimisation in high dimensionality that is characteristic of machine learning and the demands of human-scale reasoning and styles of semantic interpretation.3 …. (shrink)

Lots of contextually sensitive expressions appear to have context invariant meanings that do not by themselves suffice to secure semantic values for those expressions in context. For example, suppose I say 1. She is smart. where I do not demonstrate any female, I don’t intend that some female is the semantic value of my use of ‘she’, no female is uniquely salient in the context of utterance, and no female has been under discussion. It would appear in such a case (...) that the context invariant meaning of ‘she’ does not secure a semantic value in context for my use of ‘she’, resulting in infelicity. After all, what would that semantic value in context be? This appears to show that the context invariant meaning of ‘she’ does not by itself secure semantic values in context for it. The class of expressions that are like ‘she’ in this respect is quite large. It arguably includes simple and complex demonstratives, tense, expressions taking implicit arguments, gradable adjectives, quantifiers, ‘only’, possessives, conditionals, modals and more. I call these expressions supplementives to highlight the fact that their context invariant meanings need to be supplemented in context for them to secure semantic values in context. I claim that supplementives differ from each other in the following two ways: 1. The degree to which normal speakers are explicitly aware that the expression is contextually sensitive. 2. The degree to which ordinary speakers are explicitly aware of what sort of semantic value in context the expression takes. I hold the view that semantic values in context for supplementives are fixed by recognizable speaker intentions. However, I argue that given the differences between supplementives with respect to 1 and 2, the intentions fixing the semantic values in context of supplementives that differ with respect to 1 and 2 will themselves be different, while still all being speaker intentions that some entity o be the semantic value of the use of the supplementive in context. (shrink)

L'expérience de la connaissance nous enseigne qu'il n'y a pas de Réalité Dernière, que tout train en cache un autre. Une évidence qu'il n'est pas facile d'accepter, d'où l'idée de ce train ultime, celui qui ne cacherait plus rien. La transparentisme postule l'existence, au-delà de la perception immédiate, d'un monde, d'un niveau de lecture, complètement intelligible, i.e, explicite et immédiat. D'où cette croyance en de prétendus "rayons X du savoir" qui nous dévoileraient l'envers de l'Univers.

The veil has remained controversial in the US since 9/11, yet it has not been subject to explicit regulation. Beginning with a court case in which a Muslim woman is banned from the courtroom for refusing a judge’s order to remove her niqab, I explore the ways in which the judge’s order resembles a demand for transparency. Transparency as a norm, a mode of discourse, and a kind of comportment betrays the explicit ethos of secular-liberal political (...) norms and practices as being purely procedural. Drawing on early immigration law, the PATRIOT Act, and other laws, I argue that transparency is a demand for “unfamiliar” strangers to present themselves as familiar, or at least, as unthreatening to the dominant, homogenous population—not merely through sincerity and collegiality, but through submission and obedience. The demand for transparency is also often an impossible demand for a gendered racial and cultural recomportment, that is, to transform oneself into someone familiar—a neutral, vaguely feminist, liberal subject. I conclude that transparency remains in excess of liberal political and civic culture’s explicit scope. (shrink)

The phenomenon of mixed quotation exhibits clear signs of both the apparent transparency of compositional language use and the opacity of pure quotation. I argue that the interpretation of a mixed quotation in- volves the resolution of a metalinguistic presupposition. The leading idea behind my proposal is that a mixed-quoted expression, say, “has an anomalous feature”, means what x referred to with the words ‘has an anomalous feature’. To understand how this solves the paradox, I set up a precise (...) grammatical framework, explicitly connecting various levels of linguistic analysis: phonological forms, categorial syntax, and a dynamic picture of the semantics–pragmatics interface. In this framework I formalize and evaluate a presuppositional account of mixed quotation. Finally, I address the phenomenon of unquotation and argue that it is an essential ingredient for empirically adequate analysis of mixed quotation in natural language. (shrink)

Academic publications of empirical public health research often entail recommendations for moral action that address practitioners and policy makers. These recommendations are regularly based on implicit moral judgments with the underlying reasons not explicitly stated. In this paper, we elaborate on the moral relevance of such judgments and the need to explain them in order to account for academic argumentation. We argue for an explicit reporting of bridge principles to increase the transparency of the reporting of public health (...) research. The reporting of bridge principles can inform readers, support them in understanding the relationship between empirical and normative claims in a specific paper, and may pave new ways for the rigorous reporting of empirical research that has moral implications. Furthermore, it can be used to classify studies to systematically address the justification for their argumentation. (shrink)

L'expérience de la connaissance nous enseigne qu'il n'y a pas de Réalité Dernière, que tout train en cache un autre. Une évidence qu'il n'est pas facile d'accepter, d'où l'idée de ce train ultime, celui qui ne cacherait plus rien. La transparentisme postule l'existence, au-delà de la perception immédiate, d'un monde, d'un niveau de lecture, complètement intelligible, i.e, explicite et immédiat. D'où cette croyance en de prétendus "rayons X du savoir" qui nous dévoileraient l'envers de l'Univers.

The COVID-19 pandemic has coincided with the proliferation of ethical guidance documents to assist public health authorities, health care providers, practitioners and staff with responding to ethical challenges posed by the pandemic. Like ethical guidelines relating to infectious disease that have preceded them, what unites many COVID-19 guidance documents is their dependency on an under-developed approach to bioethical principlism, a normative framework that attempts to guide actions based on a list of prima facie, unranked ethical principles. By situating them in (...) relation to the key philosophical debates concerning bioethical principlism, we aim to explore the limits and limitations of pandemic ethical guidance documents as, specifically, ethics documents – documents that fulfil the functions of ethics as a fundamentally normative discipline. This means not only determining whether such ethical guidance documents can, in principle, provide adequate action guidance and action justification, but also, more importantly where pandemics are concerned, determining whether they support consistent decision making and transparent processes of justification. Having highlighted the problems with merely furnishing ethical guidelines with substantive ethical content in terms of principles and values, we argue that organizations that develop these documents should, instead, focus on the procedural dimensions of action guidance and action justification, which extend to questions regarding the make-up of the committees, panels and groups that develop such guidelines, the public transparency of justifications for specific pandemic-related advice or interventions and the development of explicit procedures for transparent and consistent decision making. (shrink)

One of the major roadblocks in conducting Environmental Corporate Social Responsibility (ECSR) research is operationalization of the construct. Existing ECSR measurement tools either require primary data gathering or special subscriptions to proprietary databases that have limited replicability. We address this deficiency by developing a transparent ECSR measure, with an explicit coding scheme, that strictly relies on publicly available data. Our ECSR measure tests favorably for internal consistency and inter-rater reliability, as well as convergent and discriminant validity.

Judicial Deliberations compares how and why the European Court of Justice, the French Cour de cassation and the US Supreme Court offer different approaches for generating judicial accountability and control, judicial debate and deliberation, and ultimately judicial legitimacy. Examining the judicial argumentation of the United States Supreme Court and of the French Cour de cassation, the book first reorders the traditional comparative understanding of the difference between French civil law and American common law judicial decision-making. It then uses this analysis (...) to offer the first detailed comparative examination of the interpretive practice of the European Court of Justice. Lasser demonstrates that the French judicial system rests on a particularly unified institutional and ideological framework founded on explicitly republican notions of meritocracy and managerial expertise. Law-making per se may be limited to the legislature; but significant judicial normative administration is entrusted to State selected, trained, and sanctioned elites who are policed internally through hierarchical institutional structures. The American judicial system, by contrast, deploys a more participatory and democratic approach that reflects a more populist vision. Shunning the unifying, controlling, and hierarchical French structures, the American judicial system instead generates its legitimacy primarily by argumentative means. American judges engage in extensive debates that subject them to public scrutiny and control. The ECJ hovers delicately between the institutional/argumentative and republican/democratic extremes. On the one hand, the ECJ reproduces the hierarchical French discursive structure on which it was originally patterned. On the other, it transposes this structure into a transnational context of fractured political and legal assumptions. This drives the ECJ towards generating legitimacy by adopting a somewhat more transparent argumentative approach. (shrink)

Given the pervasiveness of AI systems and their potential negative effects on people’s lives (especially among already marginalised groups), it becomes imperative to comprehend what goes on when an AI system generates a result, and based on what reasons, it is achieved. There are consistent technical efforts for making systems more “explainable” by reducing their opaqueness and increasing their interpretability and explainability. In this paper, we explore an alternative non-technical approach towards explainability that complement existing ones. Leaving aside technical, statistical, (...) or data-related issues, we focus on the very conceptual underpinnings of the design decisions made by developers and other stakeholders during the lifecycle of a machine learning project. For instance, the design and development of an app to track snoring to detect possible health risks presuppose some picture or another of “health”, which is a key notion that conceptually underpins the project. We take it as a premise that these key concepts are necessarily present during design and development, albeit perhaps tacitly. We argue that by providing “justificatory explanations” about how the team understands the relevant key concepts behind its design decisions, interested parties could gain valuable insights and make better sense of the workings and outcomes of systems. Using the concept of “health”, we illustrate how a particular understanding of it might influence decisions during the design and development stages of a machine learning project, and how making this explicit by incorporating it into ex-post explanations might increase the explanatory and justificatory power of these explanations. We posit that a greater conceptual awareness of the key concepts that underpin design and development decisions may be beneficial to any attempt to develop explainability methods. We recommend that “justificatory explanations” are provided as technical documentation. These are declarative statements that contain at its simplest: (1) a high-level account of the understanding of the relevant key concepts a team possess related to a project’s main domain, (2) how these understandings drive decision-making during the life-cycle stages, and (3) it gives reasons (which could be implicit in the account) that the person or persons doing the explanation consider to have plausible justificatory power for the decisions that were made during the project. (shrink)

La modernité politique abandonne les Hommes à leur propre sort afin que ceux-ci construisent seuls les collectifs qu'ils habitent. Ils ne peuvent plus compter sur un point stabilisateur externe les faisant tenir ensemble sous l'autorité d'un Dieu ou d'une tendance naturelle. Par la structure du contrat, se construit une boucle épistémologique selon laquelle les individus sont les créateurs de la créature politique à laquelle ils se soumettent. Chacun est ainsi à la fois la voix et l'oreille de la Loi. Cette (...) structure contractuelle suppose alors que le projet de collectif soit explicite et connu de tous, en même temps que cette connaissance du projet d'union trace les frontières de la reconnaissance entre les citoyens y prenant part. Pourtant, avec Hobbes et Rousseau, l'auteur montre que ces deux phénomènes cognitifs (connaissance et reconnaissance) se fondent sur une méconnaissance première, bien plus essentielle et originaire. Ce n'est que par une prise de distance cognitive des individus qu'ils peuvent tisser un lien social paradoxal qui les fait tenir ensemble. Ainsi, loin que le contrat ouvre l'espace du dialogue, de la négociation et du compromis, il n'est que la simulation publique d'un phénomène de prise de distance, qui, dans l'ombre de la méconnaissance, de façon purement rituelle et externe, garantit le lien social. (shrink)

Judges are typically tasked to consider sentencing benefits but not costs. Previous research finds that both laypeople and prosecutors discount the costs of incarceration when forming sentencing attitudes, raising important questions about whether professional judges show the same bias during sentencing. To test this, we used a vignette-based experiment in which Minnesota state judges reviewed a case summary about an aggravated robbery and imposed a hypothetical sentence. Using random assignment, half the participants received additional information about plausible negative consequences of (...) incarceration. As predicted, our results revealed a mitigating effect of cost exposure on prison sentence term lengths. Critically, these findings support the conclusion that policies that increase transparency in sentencing costs could reduce sentence lengths, which has important economic and social ramifications. (shrink)

_Abstract_: Nudges have proven to be effective tools for steering citizens toward desirable behaviors and make valuable additions to any policy-maker’s toolbox. Disappointingly, however, there are no mechanistic explanations for how nudges work, leaving policy-makers unable to explain what happens when they are implemented. This paper identifies some neglected ethical implications of the resulting citizens lack of awareness of such mechanisms. We first examine mechanistic explanations in relation to citizens’ understanding on how they work. Then, we look at mechanistic explanations (...) in light of the suggestion advanced by some ethicists that nudges be considered ethically acceptable in modern liberal democracies provided the explicit transparency of the nudges employed. _Keywords_: Nudge; Ethics of Nudging; Mechanistic Evidence; In-principle Transparency; Explicit Transparency _Spiegazioni meccanicistiche e l’etica dei _nudges _Riassunto_: I _nudge_ si sono rivelati strumenti di _policy_ efficaci nello "spingere gentilmente" i cittadini verso comportamenti considerati desiderabili. Per questa ragione i nudge sono considerati validi strumenti della cassetta degli attrezzi di un _policymaker_. Tuttavia, è in qualche modo deludente la mancanza di spiegazioni meccanicistiche dei nudge, dalla quale risulta l'incapacità dei _policymaker_ di spiegare quello che succede quando i nudge vengono effettivamente implementati. Questo articolo identifica alcune implicazioni etiche finora trascurate connesse alla inconsapevolezza da parte dei cittadini circa i meccanismi che governano i _nudge_. Da una parte, le nostre considerazioni metteranno in relazione le spiegazioni meccanicistiche con la comprensione dei _nudge_ da parte dei cittadini. Dall'altra parte, metteremo in relazione le spiegazioni meccanicistiche con il concetto di trasparenza esplicita, ossia la richiesta avanzata da alcuni eticisti al fine di considerare i _nudge_ eticamente accettabili nelle moderne democrazie liberali. _Parole chiave_: Nudge; Etica dei nudge; Spiegazioni meccanicistiche; Trasparenza implicita; Trasparenza esplicita. (shrink)

Early in the COVID-19 pandemic there was widespread concern that healthcare systems would be overwhelmed, and specifically, that there would be insufficient critical care capacity in terms of beds, ventilators or staff to care for patients. In the UK, this was avoided by a threefold approach involving widespread, rapid expansion of critical care capacity, reduction of healthcare demand from non-COVID-19 sources by temporarily pausing much of normal healthcare delivery, and by governmental and societal responses that reduced demand through national lockdown. (...) Despite high-level documents designed to help manage limited critical care capacity, none provided sufficient operational direction to enable use at the bedside in situations requiring triage. We present and describe the development of a structured process for fair allocation of critical care resources in the setting of insufficient capacity. The document combines a wide variety of factors known to impact on outcome from critical illness, integrated with broad-based clinical judgement to enable structured, explicit, transparent decision-making founded on robust ethical principles. It aims to improve communication and allocate resources fairly, while avoiding triage decisions based on a single disease, comorbidity, patient age or degree of frailty. It is designed to support and document decision-making. The document has not been needed to date, nor adopted as hospital policy. However, as the pandemic evolves, the resumption of necessary non-COVID-19 healthcare and economic activity mean capacity issues and the potential need for triage may yet return. The document is presented as a starting point for stakeholder feedback and discussion. (shrink)

Since approval of the EU General Data Protection Regulation (GDPR) in 2016, it has been widely and repeatedly claimed that the GDPR will legally mandate a ‘right to explanation’ of all decisions made by automated or artificially intelligent algorithmic systems. This right to explanation is viewed as an ideal mechanism to enhance the accountability and transparency of automated decision-making. However, there are several reasons to doubt both the legal existence and the feasibility of such a right. In contrast to (...) the right to explanation of specific automated decisions claimed elsewhere, the GDPR only mandates that data subjects receive meaningful, but properly limited, information (Articles 13-15) about the logic involved, as well as the significance and the envisaged consequences of automated decision-making systems, what we term a ‘right to be informed’. Further, the ambiguity and limited scope of the ‘right not to be subject to automated decision-making’ contained in Article 22 (from which the alleged ‘right to explanation’ stems) raises questions over the protection actually afforded to data subjects. These problems show that the GDPR lacks precise language as well as explicit and well-defined rights and safeguards against automated decision-making, and therefore runs the risk of being toothless. We propose a number of legislative and policy steps that, if taken, may improve the transparency and accountability of automated decision-making when the GDPR comes into force in 2018. (shrink)

On the one hand, Pavel Tichý has shown in his Transparent Intensional Logic (TIL) that the best way of explicating meaning of the expressions of a natural language consists in identification of meanings with abstract procedures. TIL explicates objective abstract procedures as so-called constructions. Constructions that do not contain free variables and are in a well-defined sense ´normalized´ are called concepts in TIL. On the second hand, Kolmogorov in (Mathematische Zeitschrift 35: 58–65, 1932) formulated a theory of problems, using NL (...) expressions. He explicitly avoids presenting a definition of problems. In the present paper an attempt at such a definition (explication)—independent of but in harmony with Medvedev´s explication—is given together with the claim that every concept defines a problem. The paper treats just mathematical concepts, and so mathematical problems, and tries to show that this view makes it possible to take into account some links between conceptual systems and the ways how to replace a noneffective formulation of a problem by an effective one. To show this in concreto a wellknown Kleene’s idea from his (Introduction to metamathematics. D. van Nostrand, New York, 1952) is exemplified and explained in terms of conceptual systems so that a threatening inconsistence is avoided. (shrink)

I am aware of the tree and its leaves, but am I aware of my awareness of these things? When I try to introspect my awareness, I just find myself attending to objects and their properties. This observation is known as the ‘transparency of experience’. On the other hand, I seem to directly know that I am aware. Given the first observation, it is not clear how I know that I am aware. Fred Dretske thought that the problem was (...) so acute that he issued the challenge of answering ‘How do you know that you are not a zombie?’ I propose that a view found in the Advaita Vedanta, that awareness is self luminous, reconciles these two observations. I understand self-luminosity as the thesis that: (1) I am implicitly aware of my awareness and (2) I am phenomenally aware of a distinct phenomenal character of my awareness. In support of the first claim, that I apparently only attend to objects in the world when introspecting perceptual experience, suggests that I do not know my awareness explicitly, but rather that I must know it implicitly. In support of the second claim, I argue that the mere fact that I am perceptually conscious is not sufficient to allow me to know that I am perceptually conscious. In particular, the qualities I am perceptually aware of do not tell me that I aware of them, rather they just seem to be properties of objects. I also assess whether strategies for responding to Cartesian sceptical scenarios can be employed against Dretske’s consciousness scepticism. I argue that these strategies either fail to distinguish me from a zombie or they do not adequately describe my epistemic situation. By contrast to other accounts, if awareness has its own distinct phenomenal character, then it cannot be considered to be a prima facie property of the world, hence the self-luminosity of awareness provides a plausible account of how I know that I’m not a zombie. (shrink)

Intellectual Dependability is the first research monograph devoted to addressing the question of what it is to be an intellectually dependable person--the sort of person on whom one's fellow inquirers can depend in their pursuit of epistemic goods. While neglected in recent scholarship, this question is an important one for both epistemology--how we should conceptualize the ideal inquirer--and education--how we can enable developing learners to grow toward this ideal. The book defends a virtue theory according to which being an intellectually (...) dependable person is distinctively a matter of possessing a suite of neglected virtues called "the virtues of intellectual dependability" that are themselves distinctively concerned with promoting epistemic goods in others' inquiries. After defending the existence and educational significance of these virtues as a group, the book turns toward the project of identifying and conceptualizing several specific instances of these virtues in detail. Virtues discussed include intellectual benevolence, intellectual transparency, communicative clarity, audience sensitivity, and epistemic guidance. In each case, an interdisciplinary treatment of the nature of the virtue and its relationship to other virtues, vices, and personality features is offered, drawing especially on relevant research in Philosophy and Psychology. The book concludes with a chapter devoted to identifying distinctive ways these virtues of intellectual dependability are manifested when it is inquiring communities, rather than individuals, that occupy the position of intellectual dependence. By directing attention to the ideal of intellectual dependability, the book marks a novel turn of scholarly interest explicitly toward a neglected dimension of the ideal inquirer that will inform both epistemological theorizing and educational practice. (shrink)

Rationing in healthcare remains very much a taboo topic. Before COVID-19, it rarely received public attention, even when it occurred in everyday practices, mainly in the form of implicit rationing, as it continues to do today. There are different definitions, types and levels of healthcare rationing, according to different perspectives. With the aim of contributing to a more coherent debate on such a highly emotional healthcare issue as rationing, here are provided a number of reflections from a patient advocate perspective (...) which are specifically focused on bedside rationing, the most troublesome level, both for patients and clinicians, particularly in regard to cancer care. Oncology, with its numerous expensive therapies and increasing number of patients, is undeniably one of the main areas contributing to the increase in healthcare costs. However, the fixed budgets of today's publicly financed health systems cannot allow unlimited access to the potentially beneficial treatments to all patients. Bedside rationing constitutes the last phase of many decision-making processes occurring at different interrelated levels (macro-levels), both inside and outside healthcare systems, which implicitly and inevitably result in a bottleneck determined by the upstream decisions themselves. Shifting from implicit to explicit bedside rationing essentially means moving from a paternalistic to a citizen-before-patient approach; this implies, first of all, a cultural change. Practical bedside rationing is an ethically complex topic, but one that needs to be urgently addressed in a transparent and open debate. In this scenario, the oncological community – patients, patient advocates and clinicians – can and should play an important role. (shrink)

The 2000 BSE Inquiry report points out that the most serious failure of the UK Government was one of risk communication. This paper argues that the government''s failure to communicate the risks BSE posed to humans to a large degree can be traced back to a lack of transparency in the first risk assessment by the Southwood Working Party. This lack of transparency ensured that the working party''s risk characterization and recommendations were ambiguous and thus hard to interpret. (...) It also meant that uncertainties were not addressed in a satisfactory way. In the recommendations, the attitude to uncertainty was implicit rather than explicit.The risk communication based on the report amplified these flaws. Most importantly, it did not address the uncertainty at all. Apparently, the reason for this was fear of overreaction by the public. However, the result was counter-productive, because the risk communication did not then appear trustworthy. Later risk assessments and risk communication omitted to correct these flaws. Indeed, the fact that, following receipt of new information, advisory experts and policy makers had changed their views of the risk to humans was never clearly communicated to the public. There seemed to be little faith in the public''s ability to reach a balanced judgment regarding the uncertainties. (shrink)

This document presents the Bonn PRINTEGER Consensus Statement: Working with Research Integrity—Guidance for research performing organisations. The aim of the statement is to complement existing instruments by focusing specifically on institutional responsibilities for strengthening integrity. It takes into account the daily challenges and organisational contexts of most researchers. The statement intends to make research integrity challenges recognisable from the work-floor perspective, providing concrete advice on organisational measures to strengthen integrity. The statement, which was concluded February 7th 2018, provides guidance on (...) the following key issues: § 1.Providing information about research integrity § 2.Providing education, training and mentoring § 3.Strengthening a research integrity culture § 4.Facilitating open dialogue § 5.Wise incentive management § 6.Implementing quality assurance procedures § 7.Improving the work environment and work satisfaction § 8.Increasing transparency of misconduct cases § 9.Opening up research § 10.Implementing safe and effective whistle-blowing channels § 11.Protecting the alleged perpetrators § 12.Establishing a research integrity committee and appointing an ombudsperson § 13.Making explicit the applicable standards for research integrity. (shrink)

This paper seeks to bring a time perspective to the discourses of globalization and development. It first connects prominent recent gender-neutral discourses of globalization with highly gendered analyses of development, bringing together institutional—structural analyses with contextual and experiential data. It places alongside each other ‘First World’ perspectives and analyses of the changing conditions of people in the ‘developing’ world who are at the receiving end of globalized markets, and the international politics of aid. To date, neither of these fields of (...) expertise has made explicit the underpinning time politics of globalization. Naturalized as status quo and global norm these temporal relations form the deep structure of globalization and its neo-colonialist agenda. The paper uses feminist epistemology to explicate the taken-for-granted time politics of globalization and time-based ontology to render visible the gender politics of globalization. The combined conceptual force makes connections where few exist at present, maps complex processes and traces naturalized relations. It offers not a new or better theory of… but an approach to globalization that makes transparent hitherto opaque relations of power and it identifies openings for change, resistance and alternative political practice. (shrink)

This document presents the Bonn PRINTEGER Consensus Statement: Working with Research Integrity—Guidance for research performing organisations. The aim of the statement is to complement existing instruments by focusing specifically on institutional responsibilities for strengthening integrity. It takes into account the daily challenges and organisational contexts of most researchers. The statement intends to make research integrity challenges recognisable from the work-floor perspective, providing concrete advice on organisational measures to strengthen integrity. The statement, which was concluded February 7th 2018, provides guidance on (...) the following key issues: § 1. Providing information about research integrity§ 2. Providing education, training and mentoring§ 3. Strengthening a research integrity culture§ 4. Facilitating open dialogue§ 5. Wise incentive management§ 6. Implementing quality assurance procedures§ 7. Improving the work environment and work satisfaction§ 8. Increasing transparency of misconduct cases§ 9. Opening up research§ 10. Implementing safe and effective whistle-blowing channels§ 11. Protecting the alleged perpetrators§ 12. Establishing a research integrity committee and appointing an ombudsperson§ 13. Making explicit the applicable standards for research integrity. (shrink)

A full representation of all events in society is not possible. The Weber–Rickert solution to the establishing of transparent concept formation requires both theoretical and practical value relevance, that is, our fashions of today shape our selections from the past which, though, also have to be valid for the period studied. Max Weber’s tools for the selection of relevant information without risking uncontrolled value intrusion are influenced by Rickert’s historical relativism, which, however, is not free from lingering ‘objectivism’, transcendental metaphysics (...) in the form of normatively generally valid values, while Weber only claims general empirical validity for values serving as tools for abstraction in a process of double historicity. Today’s historical conceptualizations are not immune to conjectures and fashions; there is no permanence or resistance to the ‘teeth of time’. Weber manifests the post-Enlightenment predicament of anxiety and necessity of choice, which Rickert tries to escape by an ‘Indian rope-trick’ or Icarian flight. Weber’s solution anticipates Gunnar Myrdal’s explicit value premises anchored in significant social movements; a more radical anti-metaphysics. Weber’s ‘sociology’ grew out of history and its contemporary problems. His way of dealing with the value-incommensurability problem makes him part also of a long trend of secularization. (shrink)

Algorithms, or rather algorithmic actions, are seen as problematic because they are inscrutable, automatic, and subsumed in the flow of daily practices. Yet, they are also seen to be playing an important role in organizing opportunities, enacting certain categories, and doing what David Lyon calls “social sorting.” Thus, there is a general concern that this increasingly prevalent mode of ordering and organizing should be governed more explicitly. Some have argued for more transparency and openness, others have argued for more (...) democratic or value-centered design of such actors. In this article, we argue that governing practices—of, and through algorithmic actors—are best understood in terms of what Foucault calls governmentality. Governmentality allows us to consider the performative nature of these governing practices. They allow us to show how practice becomes problematized, how calculative practices are enacted as technologies of governance, how such calculative practices produce domains of knowledge and expertise, and finally, how such domains of knowledge become internalized in order to enact self-governing subjects. In other words, it allows us to show the mutually constitutive nature of problems, domains of knowledge, and subjectivities enacted through governing practices. In order to demonstrate this, we present attempts to govern academic writing with a specific focus on the algorithmic action of Turnitin. (shrink)

In PI 189, Wittgenstein's interlocutor asks, ‘But are the steps then not determined by the algebraic formula?’. Wittgenstein responds, ‘The question contains a mistake’. What is the mistake contained in the interlocutor's question? Wittgenstein's elaboration is neither explicit nor its intended upshot transparent. In this paper, I offer a reading on which the interlocutor's question arises from illicitly crossing different pictures of ‘determination’. I begin by working through Wittgenstein's machine analogy in PI 193, which illustrates picture‐crossing in our ways (...) of talking about a machine. Using the lessons from this analogy, I show how the interlocutor's ‘mistake’ can be diagnosed in similar terms: their confusion about the power of a rule to determine its applications rests on mistakenly crossing a behavioural and a mathematical sense of ‘determine’—thereby concocting a mystifying picture of rule‐following. (shrink)

The predominant view is that a study using health data is observational research and should require individual consent unless it can be shown that gaining consent is impractical. But recent arguments have been made that citizens have an ethical obligation to share their health information for research purposes. In our view, this obligation is sufficient ground to expand the circumstances where secondary use research with identifiable health information is permitted without explicit subject consent. As such, for some studies the (...) Institutional Review Board/Research Ethics Committee review process should not assess the practicality of gaining consent for data use. Instead the review process should focus on assessing the public good of the research, public engagement and transparency. (shrink)

Many philosophers, both past and present, object to materialism not from any romantic anti-scientific bent, but from sheer inability to understand the thesis. It seems utterly inconceivable to some that qualia should exist in a world which is entirely material. This paper investigates the grain objection, a much neglected argument which purports to prove that sensations could not be brain events. Three versions are examined in great detail. The plausibility of the first version is shown to depend crucially on whether (...) one holds a direct or non-direct theory of perception. Only on the latter is this version plausible. An analysis of the second "semantic" version concludes that a materialist description and explanation of the world should not be expected to transparently convey all that would be of interest or importance to human beings. The final version explicitly makes use of Grover Maxwell's non-direct perceptual theory of structural realism. Although a confusion is charged to Maxwell between phenomenal and objective properties, the critical difficulty for the grain objection is its failure to characterize "structure" from a non-percipient point of view. As the grain objection is ultimately found wanting, the real difficulty for materialism crystallizes as its irreconciliability with the mere existence of sentience, which seems to force some sort of emergence upon us. (shrink)

Humans have long been characterized as poor probabilistic reasoners when presented with explicit numerical information. Bayesian word problems provide a well-known example of this, where even highly educated and cognitively skilled individuals fail to adhere to mathematical norms. It is widely agreed that natural frequencies can facilitate Bayesian reasoning relative to normalized formats (e.g. probabilities, percentages), both by clarifying logical set-subset relations and by simplifying numerical calculations. Nevertheless, between-study performance on “transparent” Bayesian problems varies widely, and generally remains rather (...) unimpressive. We suggest there has been an over-focus on this representational facilitator (i.e. transparent problem structures) at the expense of the specific logical and numerical processing requirements and the corresponding individual abilities and skills necessary for providing Bayesian-like output given specific verbal and numerical input. We further suggest that understanding this task-individual pair could benefit from considerations from the literature on mathematical cognition, which emphasizes text comprehension and problem solving, along with contributions of online executive working memory, metacognitive regulation, and relevant stored knowledge and skills. We conclude by offering avenues for future research aimed at identifying the stages in problem solving at which correct versus incorrect reasoners depart, and how individual difference might influence this time point. (shrink)

When developing computational models to analyze the tradeoffs between climate risk management strategies (i.e., mitigation, adaptation, or geoengineering), scientists make explicit and implicit decisions that are influenced by their beliefs, values and preferences. Model descriptions typically include only the explicit decisions and are silent on value judgments that may explain these decisions. Eliciting scientists’ mental models, a systematic approach to determining how they think about climate risk management, can help to gain a clearer understanding of their modeling decisions. (...) In order to identify and represent the role of values, beliefs and preferences on decisions, we used an augmented mental models research approach, namely values-informed mental models (ViMM). We conducted and qualitatively analyzed interviews with eleven climate risk management scientists. Our results suggest that these scientists use a similar decision framework to each other to think about modeling climate risk management tradeoffs, including eight specific decisions ranging from defining the model objectives to evaluating the model’s results. The influence of values on these decisions varied between our scientists and between the specific decisions. For instance, scientists invoked ethical values (e.g., concerns about human welfare) when defining objectives, but epistemic values (e.g., concerns about model consistency) were more influential when evaluating model results. ViMM can (i) enable insights that can inform the design of new computational models and (ii) make value judgments explicit and more inclusive of relevant values. This transparency can help model users to better discern the relevance of model results to their own decision framing and concerns. (shrink)

This paper presents rational and unanimously agreeable norms in (a) governance, (b) economic policy, (c) constitution and (d) religious and scientific beliefs for civilized coexistence. The basis of unanimous agreeability is that individuals do not prefer to have their wealth (including life) robbed, even surreptitiously. This preference is unanimous because even robbers do not want to be robbed. I argue that unanimously agreeable norms are necessary for civilized co-existence of humans and are consistent with the ancient philosophy (Hindutva), which originated (...) in India more than 3000 years BC and is reflected in Gita, https://en.wikipedia.org/wiki/bhagavad_gita. Gita is considered by Courts of India as a philosophical document. The basic ethos of Gita is explicit and transparent: the state (King Dhristarastra) must not allow anyone (including privileged princes like Duryodhan) to take away others' (Pandavas') property even surreptitiously (through Sakuni's rigged game of Pashakhel). The modern constitution ordains freedom through rights to property, liberty and pursuit for happiness of individuals. But it has tacitly allowed establishment of a system (rules) of governance to facilitate surreptitious robbery. Individuals accumulate property like home and retirement savings with a hope to attain freedom, eventually, which they cannot achieve if they are robbed, even surreptitiously. The ancient philosophy of Gita prohibits robbery of any kind and, thus, guarantees hope for individual freedom. The modern philosophy—underlying the established system (rules) tacitly allowing surreptitious robbery—cannot, however, achieve individual freedom. Widespread or inclusive economic prosperity can be attained only if the constitution and rules of law are unanimously agreeable which will be consistent with ancient ethos but not modern philosophy. (shrink)

The need for fair and just AI is often related to the possibility of understanding AI itself, in other words, of turning an opaque box into a glass box, as inspectable as possible. Transparency and explainability, however, pertain to the technical domain and to philosophy of science, thus leaving the ethics and epistemology of AI largely disconnected. To remedy this, we propose an integrated approach premised on the idea that a glass-box epistemology should explicitly consider how to incorporate values (...) and other normative considerations, such as intersectoral vulnerabilities, at critical stages of the whole process from design and implementation to use and assessment. To connect ethics and epistemology of AI, we perform a double shift of focus. First, we move from trusting the output of an AI system to trusting the process that leads to the outcome. Second, we move from expert assessment to more inclusive assessment strategies, aiming to facilitate expert and non-expert assessment. Together, these two moves yield a framework usable for experts and non-experts when they inquire into relevant epistemological and ethical aspects of AI systems. We dub our framework ‘epistemology-cum-ethics’ to signal the equal importance of both aspects. We develop it from the vantage point of the designers: how to create the conditions to internalize values into the whole process of design, implementation, use, and assessment of an AI system, in which values (epistemic and non-epistemic) are explicitly considered at each stage and inspectable by every salient actor involved at any moment. (shrink)

Uncertainty is inherent in new and unexpected viral outbreaks such as the current COVID-19 pandemic. It imposes challenges for health officials in soliciting cooperative behavioural changes based on incomplete information. In this paper, we use evolving mask recommendations in the United States as an example to analyse the ethical importance and practical demonstration of trustworthiness in pandemic messaging and decision-making. We argue that responsible public health interventions in the time of uncertainties requires explicit intersecting ethical considerations both in action (...) and in communication to promote trustworthiness. First, as public health decisions have to be made in the face of incomplete and evolving data, health officials need to exhibit competence while committing to epistemic humility. They can explain the methods used in making and updating mask recommendations as well as explicitly acknowledge the need to incorporate sociocultural and other contextual considerations in translating scientific data into mask recommendations. Second, officials and agencies must uphold and communicate decisional transparency as part of their effort to demonstrate accountability and promote the public’s understanding of the evolving pandemic. Third, especially since both the pandemic and mask recommendations may have disparate impact on different populations, officials should start with the fair implementation of the least restrictive measures that can help reduce harm. (shrink)

Knowledge work increasingly takes place in collaborative events from different and changing workplaces due to mobility, multi-locational, and geographical distribution of team members. What are the key elements to create mutual understanding and make creative collaborative decisions in global business meetings? How can these key elements be designed as shikake nudges to build awareness of the individual and team conditions to help knowledge workers make better work environment choices and reach higher levels of engagement? We addressed this question as a (...) transformative journey from island of knowledge to mutual understanding in the context of collaborative decision making in creative global business meetings. We present a “Six Steps to Engagement” framework that offers three feedback loops as shikake triggers to improve the local and global collaboration context and behavior, and three choice-decision-commitment steps toward improving the work environment and increasing knowledge work productivity. To support this framework, we define the following: (1) mutual understanding metrics (MUM) and method for self-assessment and 360 team assessment that define different MUM stages in the journey from island of knowledge to mutual understanding; and (2) an engagement Matrix of Choices (eMoC) prototype to assist geographically distributed knowledge workers to make explicit choices with an understanding of the potential level of engagement and collaboration they can achieve and the respective enablers and hindrances. We argue that iterative and continuous MUM assessment and explicit eMoC choices are central to achieve mutual understanding, high-performance teamwork, and eliminate rework, coordination, and decision wait time. This iterative process (1) allows team members to build awareness of their local conditions and make their local conditions transparent and visible to the rest of the team; (2) provides a feedback mechanism that indicates the engagement potential of each team member and the team, as well as a trigger or nudge toward moving to higher levels of engagement; (3) leads to the alignment of expectations and synchronicity of potential engagement levels. (shrink)

According to a grand narrative that long ago ceased to be told, there was a seventeenth century Scientific Revolution, during which a few heroes conquered nature thanks to mathematics. This grand narrative began with the exhibition of quantitative laws that these heroes, Galileo and Newton for example, had disclosed: the law of falling bodies, according to which the speed of a falling body is proportional to the square of the time that has elapsed since the beginning of its fall; the (...) law of gravitation, according to which two bodies are attracted to one another in proportion to the sum of their masses and in inverse proportion to the square of the distance separating them -- according to his own preferences, each narrator added one or two quantitative laws of this kind. The essential feature was not so much the examples that were chosen, but, rather, the more or less explicit theses that accompanied them. First, mathematization would be taken as the criterion for distinguishing between a qualitative Aristotelian philosophy and the new quantitative physics. Secondly, mathematization was founded on the metaphysical conviction that the world was created pondere, numero et mensura, or that the ultimate components of natural things are triangles, circles, and other geometrical objects. This metaphysical conviction had two immediate consequences: that all the phenomena of nature can be in principle submitted to mathematics and that mathematical language is transparent; it is the language of nature itself and has simply to be picked up at the surface of phenomena. Finally, it goes without saying that, from a social point of view, the evolution of the sciences was apprehended through what has been aptly called the "relay runner model," according to which science progresses as a result of individual discoveries. Grand narratives such as this are perhaps simply fictions doomed to ruin as soon as they are clearly expressed. In any case, the very assumption on which this grand narrative relies can be brought into question: even in the canonical domain of mechanics, the relevant epistemological units crucial to understanding the dynamics of the Scientific Revolution are perhaps not a few laws of motion, but a complex set of problems embodied in mundane objects. Moreover, each of the theses just mentioned was actually challenged during the long period of historiographical reappraisal, out of which we have probably not yet stepped. Against the sharp distinction between a qualitative Aristotelian philosophy and the new quantitative physics, numerous studies insist that Rome wasn't built in a day, so to speak. Since Antiquity, there have always been mixed sciences; the emergence of pre-classical mechanics depends on both medieval treatises and the practical challenges met by Renaissance engineers. It is indeed true that, for Aristotle, mathematics merely captures the superficial properties of things, but the Aristotelianisms were many during the Renaissance and the Early Modern period, with some of them being compatible with the introduction of mathematics in natural philosophy. In addition, the gap between the alleged program of mathematizing nature and its effective realization was underlined as most natural phenomena actually escaped mathematization; at best they were enrolled in what Thomas Kuhn began to rehabilitate under the appellation of the "Baconian sciences," i.e., empirical investigations aiming at establishing isolated facts, without relating them to any overarching theory. Hence, mathematization of nature cannot pretend to capture a historical fact: at most, it expresses an indeterminate task for generations to come. On top of these first two considerations, and against the thesis of the neutrality of the mathematical language, it was urged that mathematics is not "only a language" and that, exactly as other symbolic means or cognitive tools, it has its own constraints. For example, it has been thoroughly explained that the Euclidean theory of proportions both guides and frustrates the Galilean analysis of motion; its shortages were particularly clear with respect to the expression of continuity, which is crucial in the case of motion. Consequently, when calculus was invented and applied to the analysis of motion, it was not a transposition that left things as they stood. Even more clearly than in the case of a translation from one natural language to another, the shift from one symbolic language to another entails that certain possibilities are opened while others are closed. The cognitive constraints imposed by established mathematical theories, as seen in the theory of proportions or calculus, were not the only ones to be studied in relation to mathematization. Certain schemes dependent on the grammar of natural languages, e.g., the scheme of contrariety, or certain symbolic means of representation, e.g. geometrical diagrams and numerical tables, were also subject to such scrutiny. Lastly, it was insisted that, even if we concede the existence of scientific geniuses, mathematics is largely produced by intellectual communities and embedded within social practices. More attention was consequently paid to the forms of communication in given mathematical networks, or to the teaching of the discipline in, for example, Jesuit colleges and universities. The set of mathematical practices specific to specialized craftsmen, highly-qualified experts and engineers began to be studied in its own right. All these reflections may have helped us change our perspectives on the question of mathematization. It seems, however, that they were instead set aside, both because of a general distrust towards sweeping narratives that are always subject to the suspicion that they overlook the unyielding complexity of real history, and because of a shift in our interests. The more obscure and idiosyncratic they are, an alchemist, a patron of the sciences or a lunatic collector is nowadays honored in journals of the history of sciences. As for the general issues involved in the question of mathematization, they are rejected as obsolete, or reserved for specialized journals in the history of mathematics. Consequently, before presenting the essays of this fascicle, I would like to say a few words in favor of a renewed study of the forms of mathematization in the history of the early sciences. (shrink)

In 1905 Bertrand Russell took on the problem of definite descriptions, and his analysis became the standard up until 1950 when Peter Strawson criticised Russell’s solution as inadequate. Since then many opponents as well as proponents of the Russellian solution have been involved in a long-term debate on definite descriptions. In this paper I show that both sides of the contention are partly right and partly wrong, because sentences of the form “The F is a G” are ambiguous. However, the (...) ambiguity does not concern reference shift of the description ‘the F’. Rather, the ambiguity consists in different topic-focus articulations of a given sentence involving occurrences of ‘the F’. I demonstrate that when ‘the F’ is used as part of the topic of such a sentence the existence of the object denoted by ‘the F’ is not only entailed by but also presupposed by the sentence. On the other hand, ‘the F’ used in the focus of a sentence triggers merely existential entailment. Thus sentences differing only in their topic-focus articulation should have assigned different logical forms. In order to make such hidden features explicit, I apply the procedural semantics of Transparent Intensional Logic , furnishing sentences with hyperpropositions that are precisely defined in terms of TIL constructions. These are procedures assigned to sentences as their context-invariant structured meanings. Moreover, I generalise the phenomenon of the topic-focus distinction to sentences of any form, proposing an adequate analytic schema of sentences that come with a presupposition. (shrink)

This paper is about the opposite of judgement and calculation. This opposition has been a traditional anchor of critiques concerned with the rise of AI decision making over human judgement. Contrary to these approaches, it is argued that human judgement is not and cannot be replaced by calculation, but that it is human judgement that contextualises computational structures and gives them meaning and purpose. The article focuses on the epistemic structure of algorithms and artificial neural networks to find that they (...) always depend on human judgement to be related to real life objects or purposes. By introducing the philosophical concept of judgement, it becomes clear that the property of judgement to provide meaning and purposiveness is based on the temporality of human life and the ambiguity of language, which quantitative processes lack. A juxtaposition shows that calculations and clustering can be used and referred to in more or less prejudiced and reflecting as well as opaque and transparent ways, but thereby always depend on human judgement. The paper clearly asserts that the transparency of AI is necessary for their autonomous use. This transparency requires the explicitness of the judgements that constitute these computational structures, thereby creating an awareness of the conditionality of such epistemic entities. (shrink)

With the evidence for anthropogenic climate change piling up, suggesting that climate impacts of GHG emissions might have been underestimated in the past (Allison et al. 2009; WBGU 2009), and mitigation policies apparently lagging behind what many scientists consider as necessary reductions in order to prevent dangerous climate change, the debate about intentional climate change, or “climate engineering”, as we shall say in the following, has gained momentum in the past years. While efforts to technically modify earth’s climate had been (...) the focus of sporadic discussions at least since the White House’s Report “Restoring the Quality of Our Environment” (cf. Keith 2000), Paul Crutzen’s cautious plea for research into the feasibility and side-effects of stratospheric sulphur injections (Crutzen 2006) has incited an inter-disciplinary controversy (with a preliminary culmination in the Royal Society’s assessment (Royal Society 2009)), while increasing public awareness and debate about climate engineering, as well. The controversy, though, does not focus on the question whether climate engineering should be carried out today (which is largely reckoned to be a bad idea, unnecessary, or premature) or at some point in the future (which is considered a decision we don’t have to take now), but on whether to engage in large-scale research into the alternative technological options for carrying out intentional climate change. It is this paper’s purpose to make that controversy more transparent. In order to do so, we analyse what seems to be the major argument in favour of research into climate engineering: the lesser evil-, or, as Stephen Gardiner has called it, the arm the future-argument — in short: the AF-argument (Gardiner 2010). Such an argumentative analysis makes explicit the normative and descriptive assumptions which underlie the reasoning, without ascertaining or denying them, and thus enables one to assess the overall strength of the argument as well as to determine which objections do, and which don’t undermine it. (shrink)

The focus on animal welfare in society has increased during the last 50 years. Animal welfare legislation and private standards have developed, and today many farmers within animal production have both governmental legislation and private standards to comply with. In this paper intentions and values are described that were expressed in 14 animal welfare legislation and standards in four European countries; Sweden, United Kingdom, Germany and Spain. It is also discussed if the legislation and standards actually accomplish what they, in (...) their overall description and ethics, claimed to do, i.e. if this is followed up by relevant paragraphs in the actual body of the text in the legislation and standards respectively. The method used was an on-line questionnaire from the EconWelfare research project and text analyses. This study shows that the ethical values within a set of legislation or private standards are not always consistently implemented, and it is not always possible to follow a thread between the intentions mentioned initially and the actual details of the legislation or standard. Since values will differ so will also the animal welfare levels and the implications of similar concepts in the regulations. In general, the regulations described were not based on animal welfare considerations only, but also other aspects, such as food safety, meat quality, environmental aspects and socio-economic aspects were taken into account. This is understandable, but creates a gap between explicit and implicit values, which we argue, can be overcome if such considerations are made more transparent to the citizens/consumers. (shrink)

This research investigates the development of analogy: In particular, we wish to study the development of systematicity in analogy. Systematicity refers to the mapping of systems of mutually constraining relations, such as causal chains or chains of implication. A preference for systematic mappings is a central aspect of analogical processing in adults (Gentner, 1980, 1983). This research asks two questions: Does systematicity make analogical mapping easier? And, if so, when, developmentally, do children become able to utilize systematicity?Children aged 5–7 and (...) 8–10 acted out stories with toy characters. Then they were asked to act out the same stories with new characters. Two variables were manipulated: systematicity, or the degree of explicit causal structure in the original stories, and the transparency of the object‐mappings. Transparency was manipulated by varying the similarity between the original characters and the corresponding new characters: it was included in order to vary the difficulty of the transfer task. If children can utilize systematicity, then their transfer accuracy should be greater for systematic stories.The results show: (1) As expected, transparency strongly influenced transfer accuracy (for both age groups, transfer accuracy dropped sharply as the object correspondences became less transparent); and (2) for the older group, there was also a strong effect of systematicity and an interaction between the two variables. Given a systematic story, 9‐year‐olds could transfer it accurately regardless of the transparency of the object correspondence. (shrink)

In response to Stephen Neale (2016), I argue that aphonic expressions, such as PRO, are intentionally uttered by normal speakers of natural language, either by acts of omitting to say something explicitly, or by acts of giving phonetic realization to aphonics. I argue, also, that Gricean intention-based semantics should seek divorce from Cartesian assumptions of transparent access to propositional attitudes and, consequently, that Stephen Schiffer's so-called meaning-intention problem is not powerful enough to banish alleged cases of over-intellectualization in contemporary philosophy (...) of language and mind. (shrink)