This paper presents a new kind of problem in the ethics of distribution. The problem takes the form of several “calibration dilemmas,” in which intuitively reasonable aversion to small-stakes inequalities requires leading theories of distribution to recommend intuitively unreasonable aversion to large-stakes inequalities. We first lay out a series of such dilemmas for prioritarian theories. We then consider a widely endorsed family of egalitarian views and show that they are subject to even more forceful calibration dilemmas than prioritarian (...) theories. Finally, we show that our results challenge common utilitarian accounts of the badness of inequalities in resources. (shrink)

In 2012, the Geological Time Scale, which sets the temporal framework for studying the timing and tempo of all major geological, biological, and climatic events in Earth’s history, had one-quarter of its boundaries moved in a widespread revision of radiometric dates. The philosophy of metrology helps us understand this episode, and it, in turn, elucidates the notions of calibration, coherence, and consilience. I argue that coherence testing is a distinct activity preceding calibration and consilience, and I highlight the (...) value of discordant evidence and trade-offs scientists face in calibration. The iterative nature of calibration, moreover, raises the problem of legacy data. (shrink)

To study consciousness, scientists need to determine when participants are conscious and when they are not. They do so with consciousness detection procedures. A recurring skeptical argument against those procedures is that they cannot be calibrated: there is no way to make sure that detection outcomes are accurate. In this article, I address two main skeptical arguments purporting to show that consciousness scientists cannot calibrate detection procedures. I conclude that there is nothing wrong with calibration in consciousness science.

To several critics of the philosophical method of cases—Robert Cummins, Jonathan Weinberg and his colleagues, and Avner Baz—the fact that philosophical intuitions cannot be calibrated means that we cannot rule out the skeptical hypothesis that the outcome of our theorizing based on these intuitions is deeply distorted by our cognitive artifacts. Moreover, they take this hypothesis to license the negative conclusion that we are unable to have much of the armchair knowledge we typically attribute to ourselves when philosophizing based on (...) appeal to philosophical intuitions. This paper addresses this skeptical argument and shows how this negative conclusion can be resisted. (shrink)

Variable-Value axiologies avoid Parfit’s Repugnant Conclusion while satisfying some weak instances of the Mere Addition principle. We apply calibration methods to two leading members of the family of Variable-Value views conditional upon: first, a very weak instance of Mere Addition and, second, some plausible empirical assumptions about the size and welfare of the intertemporal world population. We find that such facts calibrate these two Variable-Value views to be nearly totalist, and therefore imply conclusions that should seem repugnant to anyone (...) who opposes Total Utilitarianism only due to the Repugnant Conclusion. (shrink)

Comparative valuation of different policy interventions often requires interpersonal comparability of benefit. In the field of health economics, the metric commonly used for such comparison, quality adjusted life years (QALYs) gained, has been criticized for failing to respect the equality of all persons’ intrinsic worth, including particularly those with disabilities. A methodology is proposed that interprets ‘full quality of life’ as the best health prospect that is achievable for the particular individual within the relevant budget constraint. This calibration is (...) challenging both conceptually and operationally as it shifts dramatically when technology or budget developments alter what can be achieved for incapacitated individuals. The proposal nevertheless ensures that the maximal achievable satisfaction of one person’s preferences can carry no more intrinsic value than that of another. This approach, which can be applied to other domains of social valuation, thus prevents implicit discrimination against the elderly and those with irremediable incapacities. (shrink)

We argue that concerns about double-counting—using the same evidence both to calibrate or tune climate models and also to confirm or verify that the models are adequate—deserve more careful scrutiny in climate modelling circles. It is widely held that double-counting is bad and that separate data must be used for calibration and confirmation. We show that this is far from obviously true, and that climate scientists may be confusing their targets. Our analysis turns on a Bayesian/relative-likelihood approach to incremental (...) confirmation. According to this approach, double-counting is entirely proper. We go on to discuss plausible difficulties with calibrating climate models, and we distinguish more and less ambitious notions of confirmation. Strong claims of confirmation may not, in many cases, be warranted, but it would be a mistake to regard double-counting as the culprit. 1 Introduction2 Remarks about Models and Adequacy-for-Purpose3 Evidence for Calibration Can Also Yield Comparative Confirmation3.1 Double-counting I3.2 Double-counting II4 Climate Science Examples: Comparative Confirmation in Practice4.1 Confirmation due to better and worse best fits4.2 Confirmation due to more and less plausible forcings values5 Old Evidence6 Doubts about the Relevance of Past Data7 Non-comparative Confirmation and Catch-Alls8 Climate Science Example: Non-comparative Confirmation and Catch-Alls in Practice9 Concluding Remarks. (shrink)

I argue that dimensional analysis provides an answer to a skeptical challenge to the theory of model mediated measurement. The problem arises when considering the task of calibrating a novel measurement procedure, with greater range, to the results of a prior measurement procedure. The skeptical worry is that the agreement of the novel and prior measurement procedures in their shared range may only be apparent due to the emergence of systematic error in the exclusive range of the novel measurement procedure. (...) Alternatively: what if the two measurement procedures are not in fact measuring the same quantity? The theory of model mediated measurement can only say that we _assume_ that there is a common quantity. In contrast, I show that the satisfaction of dimensional homogeneity across the metrological extension is independent evidence for the so-called assumption. This is illustrated by the use of dimensional analysis in high pressure experiments. This results in an extension of the theory of model mediated measurement, in which a common quantity in metrological extension is no longer assumed, but hypothesized. (shrink)

Schervish (1985b) showed that every forecasting system is noncalibrated for uncountably many data sequences that it might see. This result is strengthened here: from a topological point of view, failure of calibration is typical and calibration rare. Meanwhile, Bayesian forecasters are certain that they are calibrated---this invites worries about the connection between Bayesianism and rationality.

Drawing on a passage from Ramsey's Truth and Probability, we formulate a simple, plausible constraint on evaluating the accuracy of credences: the Calibration Test. We show that any additive, continuous accuracy measure that passes the Calibration Test will be strictly proper. Strictly proper accuracy measures are known to support the touchstone results of accuracy-first epistemology, for example vindications of probabilism and conditionalization. We show that our use of Calibration is an improvement on previous such appeals by showing (...) how it answers or sidesteps problems that have been raised for previous work in this area. (shrink)

A probabilistic Chomsky–Schützenberger hierarchy of grammars is introduced and studied, with the aim of understanding the expressive power of generative models. We offer characterizations of the distributions definable at each level of the hierarchy, including probabilistic regular, context-free, (linear) indexed, context-sensitive, and unrestricted grammars, each corresponding to familiar probabilistic machine classes. Special attention is given to distributions on (unary notations for) positive integers. Unlike in the classical case where the "semi-linear" languages all collapse into the regular languages, using analytic tools (...) adapted from the classical setting we show there is no collapse in the probabilistic hierarchy: more distributions become definable at each level. We also address related issues such as closure under probabilistic conditioning. (shrink)

Nanotechnology (henceforth NT) is a rapidly advancing field with the potential of revolutionizing diverse areas such as electronics, healthcare, transport and energy production. NT products and applications come with (potential) benefits and (potential) harms. The presence of potential harms calls for regulation. Both under- and overregulation – I argue – are morally undesirable. In the case of underregulation, stakeholders fall victim to the harmful effects of the technology. In the case of overregulation, stakeholders are deprived of the benefits of the (...) technology. In this chapter, I identify the biases and factors that lead to under- and overregulation and offer solutions in response. More precisely, I argue that a lack of specific regulation, the presence of conflicts of interest and short-term economic incentives could lead to the underregulation of NT products and applications. Conversely, I argue that a negativity bias, harm aversion, the fear of opening ‘Pandora’s box’ and the intuition that what is natural is good and what is artificial (human-made) is bad could lead to overregulation. To avoid these pitfalls and the woes of under- and overregulation following in their wake, we need to set up a process – which I describe – in which policymakers and independent scientists closely collaborate. (shrink)

Although probabilistic statements are ubiquitous, probability is still poorly understood. This shows itself, for example, in the mere stipulation of policies like expected utility maximisation and in disagreements about the correct interpretation of probability. In this work, we provide an account of probabilistic predictions that explains when, how, and why they can be useful for decision-making. We demonstrate that a calibration criterion on finite sets of predictions allows one to anticipate the distribution of utilities that a given policy will (...) yield. Based on this, we specify assumptions under which expected utility maximisation is a sensible decision criterion. We also introduce the notion of prediction methods, highlighting the dependence on schemes of abstraction, and argue that all probabilities are outputs of such prediction methods. This helps explain how the calibration criterion can be satisfied and shows that also supposedly objective probabilities are model-dependent. We compare our account of probability with conventional interpretations and show that it recovers key intuitions behind the latter. We, thus, provide a general account of what probabilities are and how they can enable successful decision-making under uncertainty. (shrink)

Linguists, particularly in the generative tradition, commonly rely upon intuitions about sentences as a key source of evidence for their theories. While widespread, this methodology has also been controversial. In this paper, I develop a positive account of linguistic intuition, and defend its role in linguistic inquiry. Intuitions qualify as evidence as form of linguistic behavior, which, since it is partially caused by linguistic competence (the object of investigation), can be used to study this competence. I defend this view by (...) meeting two challenges. First, that intuitions are collected through methodologically unsound practices, and second, that intuition cannot distinguish between the contributions of competence and performance systems. (shrink)

The processing of time intervals in the sub- to supra-second range by the brain is critical for the interaction of primates with their surroundings in activities, such as foraging and hunting. For an accurate processing of time intervals by the brain, representation of physical time within neuronal circuits is necessary. I propose that time dimension of the physical surrounding is represented in the brain by different types of neuronal oscillators, generating spikes or spike bursts at regular intervals. The proposed oscillators (...) include the pacemaker neurons, tonic inputs, and synchronized excitation and inhibition of inter-connected neurons. Oscillators, which are built inside various circuits of brain, help to form modular clocks, processing time intervals or other temporal characteristics specific to functions of a circuit. Relative or absolute duration is represented within neuronal oscillators by “neural temporal unit,” defined as the interval between regularly occurring spikes or spike bursts. Oscillator output is processed to produce changes in activities of neurons, named frequency modulator neuron, wired within a separate module, represented by the rate of change in frequency, and frequency of activities, proposed to encode time intervals. Inbuilt oscillators are calibrated by (a) feedback processes, (b) input of time intervals resulting from rhythmic external sensory stimulation, and (c) synchronous effects of feedback processes and evoked sensory activity. A single active clock is proposed per circuit, which is calibrated by one or more mechanisms. Multiple calibration mechanisms, inbuilt oscillators, and the presence of modular connections prevent a complete loss of interval timing functions of the brain. (shrink)

This paper attempts to develop an ethico-aesthetic framework for enriching one's life and ethical outlook. Drawing primarily from Nietzsche, Foucault, and Heidegger, an argument is made that Heidegger's understanding of this issue was mistaken. The ontological crisis of modernity is not the overt influence of mathematics as a worldview over poetics and more traditionally aesthetic approaches. It is the rampant mis-and over-application of abstraction within one's view of the world while denying the material realities of life as we live it. (...) This runaway abstractive worldview leads to the misapplication of mathematics and other sciences which in turn facilitate the dehumanization of life and those within it. When we try to solve the real problems of our material human lives through overly abstractive means, then we arrive at inauthentic arguments that fuel popular disdain for philosophy as irrelevant and nothing more than the purview of the elite. The goal is a recalibration of the argument toward addressing the denial of materiality within Modernism. (shrink)

Do people tend to be overconfident? Many think so. They’ve run studies on whether people are calibrated: whether their average confidence in their opinions matches the proportion of those opinions that are true. Under certain conditions, people are systematically ‘over-calibrated’—for example, of the opinions they’re 80% confident in, only 60% are true. From this empirical over-calibration, it’s inferred that people are irrationally overconfident. My question: When and why is this inference warranted? Answering it requires articulating a general connection between (...) being rational and being right—something extant studies have not done. I show how to do so using the notion of deference. This provides a theoretical foundation for calibration research, but also reveals a flaw: the connection between being rational and being right is much weaker than is standardly assumed, since rational people can often be expected to be miscalibrated. Thus we can’t test whether people are overconfident by simply testing whether they are over-calibrated; instead, we must try to predict the rational deviations from calibration, and then compare those predictions to people’s performance. I show how this can be done—and that doing so complicates the interpretation of robust empirical effects. (shrink)

Overconfidence is typically damaging to one’s reputation as a trustworthy source of information. Previous research shows that the reputational cost associated with conveying a piece of false information is higher for confident than unconfident speakers. When judging speaker trustworthiness, individuals do not exclusively rely on past accuracy but consider the extent to which speakers expressed a degree of confidence that matched the accuracy of their claims (their “confidence-accuracy calibration”). The present study experimentally examines the interplay between confidence, accuracy and (...) a third factor, namely evidence, in the assessment of speaker trustworthiness. Experiment 1 probes the hypothesis that overconfidence does not backfire when a confident but inaccurate claim is justified: the trustworthiness of a confident speaker who turns out to be wrong is restored if the confidence expressed is based on strong evidence (good confidence-evidence calibration). Experiment 2 investigates the hypothesis that confidence can backfire if a confident and accurate claim is not justified: the trustworthiness of a confident speaker who turns out to be right is damaged if the confidence expressed is based on weak evidence (bad confidence-evidence calibration). Our results support both hypotheses and thus suggest that “confidence-evidence calibration” plays a crucial role in the assessment of speaker trustworthiness. (shrink)

There is a theorem that shows that it is impossible for an algorithm to jointly satisfy the statistical fairness criteria of Calibration and Equalised Odds non-trivially. But what about the recently advocated alternative to Calibration, Base Rate Tracking? Here, we show that Base Rate Tracking is strictly weaker than Calibration, and then take up the question of whether it is possible to jointly satisfy Base Rate Tracking and Equalised Odds in non-trivial scenarios. We show that it is (...) not, thereby establishing an even more general impossibility theorem. (shrink)

Pettigrew offers new axiomatic constraints on legitimate measures of inaccuracy. His axiom called ‘Decomposition’ stipulates that legitimate measures of inaccuracy evaluate a credence function in part based on its level of calibration at a world. I argue that if calibration is valuable, as Pettigrew claims, then this fact is an explanandum for accuracy-rst epistemologists, not an explanans, for three reasons. First, the intuitive case for the importance of calibration isn’t as strong as Pettigrew believes. Second, calibration (...) is a perniciously global property that both contravenes Pettigrew’s own views about the nature of credence functions themselves and undercuts the achievements and ambitions of accuracy-rst epistemology. Finally, Decomposition introduces a new kind of value compatible with but separate from accuracy-proper in violation of Pettigrew’s alethic monism. introduction. (shrink)

The question whether a constitutive linguistic norm can be prescriptive is central to the debate on the normativity of meaning. Recently, the author has attempted to defend an affirmative answer, pointing to how speakers sporadically invoke constitutive linguistic norms in the service of linguistic calibration. Such invocations are clearly prescriptive. However, they are only appropriate if the invoked norms are applicable to the addressed speaker. But that can only be the case if the speaker herself generally accepts them. This (...) qualification has led critics to argue that if an addressed speaker’s acceptance is a necessary condition for legitimate prescriptions (and reproach for failure to adhere to them), then the account becomes unable to underwrite actual normativity. Moreover, critics argue, a danger of vicious circularity arises from the calibration account. This paper shows that once a vantage point within the calibration practice is accepted, the criticisms lose their force. It then explores why a theorist might reject such a perspective and suggests, as a plausible candidate, implicit Humean assumptions about the proper explanation of (linguistic) action. The paper ends by sketching a way forward for the debate on the normativity of meaning in light of this diagnosis. (shrink)

It is widely held that the influence of risk on rational decisions is not entirely explained by the shape of an agent’s utility curve. Buchak (Erkenntnis, 2013, Risk and rationality, Oxford University Press, Oxford, in press) presents an axiomatic decision theory, risk-weighted expected utility theory (REU), in which decision weights are the agent’s subjective probabilities modified by his risk-function r. REU is briefly described, and the global applicability of r is discussed. Rabin’s (Econometrica 68:1281–1292, 2000) calibration theorem strongly suggests (...) that plausible levels of risk aversion cannot be fully explained by concave utility functions; this provides motivation for REU and other theories. But applied to the synchronic preferences of an individual agent, Rabin’s result is not as problematic as it may first appear. Theories that treat outcomes as gains and losses (e.g. prospect theory and cumulative prospect theory) account for risk sensitivity in a way not available to REU. Reference points that mark the difference between gains and losses are subject to framing, many instances of which cannot be regarded as rational. However, rational decision theory may recognize the difference between gains and losses, without endorsing all ways of fixing the point of reference. In any event, REU is a very interesting theory. (shrink)

Philosophers and scientists have often adopted the orthodox version of calibration which involves standardizing an instrument using a known phenomenon. The essential link between theoretical concepts and empirical data, in the philosophy of measurement, has generated the formulation of principles of coordination, synthetic a priori, and revisables. Operationalist thinking wanted to limit the scope of concepts to operations of measurement that are actually achievable. The coherentist perspective in the philosophy of measurement has operated a recovery of coordinationist epistemology and (...) operationalism, relying on a minimal number of ontological principles. Models of an instrument involve a commitment to separation between idealized theories and material things. However, philosophers and metrologists have advocated the requirement of a rich theoretical content in the modeling of measuring instruments. According to other contributions, the epistemic privilege of measurement precedes a background theory and its robustness lies in the free contact with empirical data. Moreover, the applicability regime of a theory dictates its boundary conditions, which guide the experimenter in the design of measuring instruments and provide the basis for operationalizing the meaning of theoretical terms. I support operational pluralism, measurement operations involving different physical indicators, accompanied by dynamic coherentism. The James Webb Space Telescope calibration program is a significant case. Observations of calibration stars by various methods are used to calculate the factors that convert a measurement in instrumental units to physical units. (shrink)

In this paper, I argue for a distinction between two scales of coordination in scientific inquiry, through which I reassess Georg Simon Ohm’s work on conductivity and resistance. Firstly, I propose to distinguish between measurement coordination, which refers to the specific problem of how to justify the attribution of values to a quantity by using a certain measurement procedure, and general coordination, which refers to the broader issue of justifying the representation of an empirical regularity by means of abstract mathematical (...) tools. Secondly, I argue that the development of Ohm’s measurement practice between the first and the second experimental phase of his work involved the change of the measurement coordination on which he relied to express his empirical results. By showing how Ohm relied on different calibration assumptions and practices across the two phases, I demonstrate that the concurrent change of both Ohm’s experimental apparatus and the variable that Ohm measured should be viewed based on the different form of measurement coordination. Finally, I argue that Ohm’s assumption that tension is equally distributed in the circuit is best understood as part of the general coordination between Ohm’s law and the empirical regularity that it expresses, rather than measurement coordination. (shrink)

Recent impossibility theorems for fair risk assessment extend to the domain of epistemic justice. We translate the relevant model, demonstrating that the problems of fair risk assessment and just credibility assessment are structurally the same. We motivate the fairness criteria involved in the theorems as also being appropriate in the setting of testimonial justice. Any account of testimonial justice that implies the fairness/justice criteria must be abandoned, on pain of triviality.

Researchers of different calibres from phenomenology to posthumanism and beyond have outlined the processuality of the body and the environment (Alaimo 2010; Gendlin 2017), stressing the importance of changing the ontological presuppositions of the body-environment bond (Schoeller and Duanetz 2018: 131), since the existing models facilitate the alienation and intangibility of the environment, thus, leading to reduced societal awareness of the importance of environmental issues (Neimanis, Åsberg, Hedrén 2015: 73–74). In this article, I argue that in questions relating to food, (...) product-oriented ideologies dominate over process-oriented ethicality, in part, due to an embodied and lived ideology that can be best described via the concept of reactive nihilism and substance ontology. The article aims to demonstrate a necessity to rethink and recontextualize situated practices as alternatives to the prevalent ontogenealogies of the Global North. By problematizing the complimentary axis of reactive nihilism in food contexts and the genealogy of contemporary pop food “ethics”, I argue for a shift away from product-oriented ideologies and supplementation of the ontologies-we-live-by with situated alternative models. In the first part of the article, I use a genealogical approach, tracing the predominant meaning cluster encapsulated in Feuerbach’s famous expression “Man is what he eats” (Feuerbach 1846-1866, X: 5) in today’s contexts. To illustrate the leading discourses, I follow a Deleuzian understanding of the concept of “reactive nihilism” and contextualize food choices with the dominant understanding of the body in the Global North. With this discussion, I hope to provide context for the need to reconsider local ontologies as knowledge resources for the future. In the second part of the article, the framework present in the Global North is then complemented by a discussion of some local factors, to suggest ways in which global food philosophy and, particularly, lifestyle choices of food consumption could benefit from acknowledging the knowledge embedded in food consumption trends in Latvia. (shrink)

Predictive algorithms are playing an increasingly prominent role in society, being used to predict recidivism, loan repayment, job performance, and so on. With this increasing influence has come an increasing concern with the ways in which they might be unfair or biased against individuals in virtue of their race, gender, or, more generally, their group membership. Many purported criteria of algorithmic fairness concern statistical relationships between the algorithm’s predictions and the actual outcomes, for instance requiring that the rate of false (...) positives be equal across the relevant groups. We might seek to ensure that algorithms satisfy all of these purported fairness criteria. But a series of impossibility results shows that this is impossible, unless base rates are equal across the relevant groups. What are we to make of these pessimistic results? I argue that none of the purported criteria, except for a calibration criterion, are necessary conditions for fairness, on the grounds that they can all be simultaneously violated by a manifestly fair and uniquely optimal predictive algorithm, even when base rates are equal. I conclude with some general reflections on algorithmic fairness. (shrink)

Recent authors hold that the role of historical scholarship within contemporary philosophical practice is to question current assumptions, to expose vestiges or to calibrate intuitions. On these views, historical scholarship is dispensable, since these roles can be achieved by nonhistorical methods. And the value of historical scholarship is contingent, since the need for the role depends on the presence of questionable assumptions, vestiges or comparable intuitions. In this paper I draw an analogy between scientific and philosophical practice, in order to (...) float one role for historical scholarship that is nonreplicable and noncontingent. It has long been acknowledged that cognitive values – features of theories that facilitate understanding, such as ontological parsimony, ideological simplicity, computational ease and fecundity – play a key role within science. The role of some of these values within philosophy also has received attention but left understudied are the values of novelty and conservativeness. These values influence theory choice, the selection of methodology, the setting of research agenda, and the presentation of results; and are best assessed with a historically informed evaluation. This role for historical scholarship is not replicable by nonhistorical methods, and is not contingent on the presence of questionable assumptions, vestiges or comparable intuitions. (shrink)

Scientific consensus is widely deferred to in public debates as a social indicator of the existence of knowledge. However, it is far from clear that such deference to consensus is always justified. The existence of agreement in a community of researchers is a contingent fact, and researchers may reach a consensus for all kinds of reasons, such as fighting a common foe or sharing a common bias. Scientific consensus, by itself, does not necessarily indicate the existence of shared knowledge among (...) the members of the consensus community. I address the question of under what conditions it is likely that a consensus is in fact knowledge based. I argue that a consensus is likely to be knowledge based when knowledge is the best explanation of the consensus, and I identify three conditions—social calibration, apparent consilience of evidence, and social diversity, for knowledge being the best explanation of a consensus. (shrink)

We introduce a fairness criterion that we call Spanning. Spanning i) is implied by Calibration, ii) retains interesting properties of Calibration that some other ways of relaxing that criterion do not, and iii) unlike Calibration and other prominent ways of weakening it, is consistent with Equalized Odds outside of trivial cases.

The aim of this paper is to describe a problem for calibrationism: a view about higher order evidence according to which one's credences should be calibrated to one's expected degree of reliability. Calibrationism is attractive, in part, because it explains our intuitive judgments, and provides a strong motivation for certain theories about higher order evidence and peer disagreement. However, I will argue that calibrationism faces a dilemma: There are two versions of the view one might adopt. The first version, I (...) argue, has the implausible consequence that, in a wide range of cases, calibrationism is the only constraint on rational belief. The second version, in addition to having some puzzling consequences, is unmotivated. At the end of the paper I sketch a possible solution. (shrink)

A number of findings in the field of machine learning have given rise to questions about what it means for automated scoring- or decisionmaking systems to be fair. One center of gravity in this discussion is whether such systems ought to satisfy classification parity (which requires parity in accuracy across groups, defined by protected attributes) or calibration (which requires similar predictions to have similar meanings across groups, defined by protected attributes). Central to this discussion are impossibility results, owed to (...) Kleinberg et al. (2016), Chouldechova (2017), and Corbett-Davies et al. (2017), which show that classification parity and calibration are often incompatible. This paper aims to argue that classification parity, calibration, and a newer, interesting measure called counterfactual fairness are unsatisfactory measures of fairness, offer a general diagnosis of the failure of these measures, and sketch an alternative approach to understanding fairness in machine learning. (shrink)

Introspection is a fundamental part of our mental lives. Nevertheless, its reliability and its underlying cognitive architecture have been widely disputed. Here, I propose a principled way to model introspection. By using time-tested principles from signal detection theory (SDT) and extrapolating them from perception to introspection, I offer a new framework for an introspective signal detection theory (iSDT). In SDT, the reliability of perceptual judgments is a function of the strength of an internal perceptual response (signal- to-noise ratio) which is, (...) to a large extent, driven by the intensity of the stimulus. In parallel to perception, iSDT models the reliability of introspective judgments as a function of the strength of an internal introspective response (signal-to-noise ratio) which is, to a large extent, driven by the intensity of conscious experiences. Thus, by modelling introspection after perception, iSDT can calibrate introspection’s reliability across a whole range of contexts. iSDT offers a novel, illuminating way of thinking about introspection and the cognitive processes that support it. (shrink)

Recently, the relationship between evolutionary ecology and perceptual science has received renewed attention under perception-mediated selection, a mode of natural selection linking perceptual saliency, rather than veridicality, to fitness. The Interface Theory of Perception (ITP) has been especially prominent in claiming that an organism’s perceptual interface is populated by icons, which arise as a function of evolved, species-specific perceptual interfaces that produce approximations of organisms’ environments through fitness-tuned perceptions. According to perception-mediated selection, perception and behavior calibrate one another as organisms’ (...) capacities to experience and know the objects and properties of their environments lead to responses highlighting certain environmental features selected for survival. We argue this occurs via the Umwelt/Umgebung distinction in ethology, demonstrating that organisms interact with their external environments (Umgebung) through constructed perceptual schema (Umwelt) that produce constrained representations of environmental objects and their properties. Following Peircean semiotics, we claim that ITP’s focus on icons as saliency-simplified markers corresponds to biosemiotics’ understanding of perceptual representations, which manifest as iconic (resembling objects), indexical (referring), or symbolic (arbitrary) modalities, which provide for organisms’ semiotic scaffolding. We argue that ITP provides the computational evidence for biosemiotics’ notion of iconicity, while biosemiotics provides explanation within ITP for how iconicity can build up into indices and symbols. The common contention of these separate frameworks that the process of perception tracks saliency rather than veridicality suggests that digital/dyadic perceptual strategies will be outcompeted by their semiotic/triadic counterparts. This carries implications for evolutionary theory as well as theories of cognition. (shrink)

One of the strongest motivations for conceptualist readings of Kant is the belief that the Transcendental Deduction is incompatible with nonconceptualism. In this article, I argue that this belief is simply false: the Deduction and nonconceptualism are compatible at both an exegetical and a philosophical level. Placing particular emphasis on the case of non-human animals, I discuss in detail how and why my reading diverges from those of Ginsborg, Allais, Gomes and others. I suggest ultimately that it is only by (...) embracing nonconceptualism that we can fully recognise the delicate calibration of the trap which the Critique sets for Hume. (shrink)

In recent years, a number of philosophers have turned their attention to developments in Artificial Intelligence, and in particular to deepfakes. A deepfake is a portmanteau of ‘deep learning' and ‘fake', and for the most part they are videos which depict people doing and saying things they never did. As a result, much of the emerging literature on deepfakes has turned on questions of trust, harms, and information-sharing. In this paper, I add to the emerging concerns around deepfakes by drawing (...) on resources from vice epistemology. As deepfakes become more sophisticated, I claim, they will develop to be a source of online epistemic corruption. More specifically, they will encourage consumers of digital online media to cultivate and manifest various epistemic vices. My immediate focus in this paper is on their propensity to encourage the development of what I call ‘intellectual cynicism'. After sketching a rough account of this epistemic vice, I go on to suggest that we can partially offset such cynicism – and fears around deceptive online media more generally – by encouraging the development what I term a trained ‘digital sensibility'. This, I contend, involves a calibrated sensitivity to the epistemic merits of online content. (shrink)

This paper proposes a novel educational approach to epistemic vice rehabilitation. Its authors Gerry Dunne and Alkis Kotsonis note that, like Quassim Cassam, they remain optimistic about the possibility of improvement with regard to epistemic vice. However, unlike Cassam, who places the burden of minimizing or overcoming epistemic vices and their consequences on the individual, Dunne and Kotsonis argue that vice rehabilitation is best tackled via the exemplarist animated community of inquiry zetetic principles and defeasible-reasons-regulated deliberative processes. The vice-reduction method (...) they propose is made up of four distinct yet complementary components: (1) positive exemplarism of epistemic virtue (saints), (2) negative exemplarism of epistemic vice (sinners), (3) direct teaching/instruction, and (4) cognitive apprenticeship. Dunne and Kotsonis argue that this pedagogical intervention appropriately considers learnings deriving from forensic scrutiny of both ideal and non-ideal interpersonally calibrated zetetic features integral to knowledge acquisition as well as wider societal influences impacting the development of agents' epistemic character. It bridges research on vice epistemology (Cassam's obstructivist theory), social epistemology (corrupted social processes mitigating against vice rehabilitation), virtue epistemology, and moral exemplarism. (shrink)

Many policies and ethical guidelines recommend developing “trustworthy AI”. We argue that developing morally trustworthy AI is not only unethical, as it promotes trust in an entity that cannot be trustworthy, but it is also unnecessary for optimal calibration. Instead, we show that reliability, exclusive of moral trust, entails the appropriate normative constraints that enable optimal calibration and mitigate the vulnerability that arises in high-stakes hybrid decision-making environments, without also demanding, as moral trust would, the anthropomorphization of AI (...) and thus epistemically dubious behavior. The normative demands of reliability for inter-agential action are argued to be met by an analogue to procedural metacognitive competence (i.e., the ability to evaluate the quality of one’s own informational states to regulate subsequent action). Drawing on recent empirical findings that suggest providing reliability scores (e.g., F1-scores) to human decision-makers improves calibration in the AI system, we argue that reliability scores provide a good index of competence and enable humans to determine how much they wish to rely on the system. (shrink)

Scaffolded Minds offers a novel account of cognitive scaffolding and its significance for understanding mental disorders. The book is part of the growing philosophical engagement with empirically informed philosophy of mind, which studies the interfaces between philosophy and cognitive science. It draws on two recent shifts within empirically informed philosophy of mind: the first, toward an intensified study of the embodied mind; and the second, toward a study of the disordered mind that acknowledges the convergence of the explanatory concerns of (...) psychiatry and interdisciplinary inquiries into the mind. The book sets out to accomplish a dual task: theoretical mapping of cognitive scaffolding; and the application/calibration of fine-grained philosophical distinctions to empirical research. It introduces the notion of actively scaffolded cognition (ASC) and offers a taxonomy that distinguishes between intrasomatic and extrasomatic scaffolding. It then shows that ASC offers a productive framework for considering certain characteristic features of mental disorders, focusing on altered bodily experience and social cognition deficits. (shrink)

Clearing algorithms are at the core of modern payment systems, facilitating the settling of multilateral credit messages with (near) minimum transfers of currency. Traditional clearing procedures use batch processing based on MILP - mixed-integer linear programming algorithms. The MILP approach demands intensive computational resources; moreover, it is also vulnerable to operational risks generated by possible defaults during the inter-batch period. This paper presents TORC3 - the Token-Ring Clearing Algorithm for Currency Circulation. In contrast to the MILP approach, TORC3 is a (...) real time heuristic procedure, demanding modest computational resources, and able to completely shield the clearing operation against the participating agents’ risk of default. (shrink)

In the last few decades the role played by models and modeling activities has become a central topic in the scientific enterprise. In particular, it has been highlighted both that the development of models constitutes a crucial step for understanding the world and that the developed models operate as mediators between theories and the world. Such perspective is exploited here to cope with the issue as to whether error-based and uncertainty-based modeling of measurement are incompatible, and thus alternative with one (...) another, as sometimes claimed nowadays. The crucial problem is whether assuming this standpoint implies definitely renouncing to maintain a role for truth and the related concepts, particularly accuracy, in measurement. It is argued here that the well known objections against true values in measurement, which would lead to refuse the concept of accuracy as non-operational, or to maintain it as only qualitative, derive from a not clear distinction between three distinct processes: the metrological characterization of measuring systems, their calibration, and finally measurement. Under the hypotheses that (1) the concept of true value is related to the model of a measurement process, (2) the concept of uncertainty is related to the connection between such model and the world, and (3) accuracy is a property of measuring systems (and not of measurement results) and uncertainty is a property of measurement results (and not of measuring systems), not only the compatibility but actually the conjoint need of error-based and uncertainty-based modeling emerges. (shrink)

The appearance of consciousness in the universe remains one of the major mysteries unsolved by science or philosophy. Absent an agreed-upon definition of consciousness or even a convenient system to test theories of consciousness, a confusing heterogeneity of theories proliferate. In pursuit of clarifying this complicated discourse, we here interpret various frameworks for the scientific and philosophical study of consciousness through the lens of social insect evolutionary biology. To do so, we first discuss the notion of a forward test versus (...) a reverse test, analogous to the normal and revolutionary phases of the scientific process. Contemporary theories of consciousness are forward tests for consciousness, in that they strive to become a means to classify the level of consciousness of arbitrary states and systems. Yet no such theory of consciousness has earned sufficient confidence such that it might be actually used as a forward test in ambiguous settings. What is needed now is thus a legitimate reverse test for theories of consciousness, to provide internal and external calibration of different frameworks. A reverse test for consciousness would ideally look like a method for referencing theories of consciousness to a tractable model system. We introduce the Ant Colony Test as a rigorous reverse test for consciousness. We show that social insect colonies, though disaggregated collectives, fulfill many of the prerequisites for conscious awareness met by humans and honey bee workers. A long lineage of philosophically-neutral neurobehavioral, evolutionary, and ecological studies on social insect colonies can thus be redeployed for the study of consciousness in general. We suggest that the ACT can provide insight into the nature of consciousness, and highlight the ant colony as a model system for ethically performing clarifying experiments about consciousness. (shrink)

Abstract: Heart diseases are increasing daily at a rapid rate and it is alarming and vital to predict heart diseases early. The diagnosis of heart diseases is a challenging task i.e. it must be done accurately and proficiently. The aim of this study is to determine which patient is more likely to have heart disease based on a number of medical features. We organized a heart disease prediction model to identify whether the person is likely to be diagnosed with a (...) heart disease or not using the medical features of the person. We used many different algorithms of machine learning such as Gaussian Mixture, Nearest Centroid, MultinomialNB, Logistic RegressionCV, Linear SVC, Linear Discriminant Analysis, SGD Classifier, Extra Tree Classifier, Calibrated ClassifierCV, Quadratic Discriminant Analysis, GaussianNB, Random Forest Classifier, ComplementNB, MLP Classifier, BernoulliNB, Bagging Classifier, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Regression, Gradient Boosting Classifier, Decision Tree Classifier, and Deep Learning to predict and classify the patient with heart disease. A quite helpful approach was used to regulate how the model can be used to improve the accuracy of prediction of heart diseases in any person. The strength of the proposed model was very satisfying and was able to predict evidence of having a heart disease in a particular person by using Deep Learning and Random Forest Classifier which showed a good accuracy in comparison to the other used classifiers. The proposed heart disease prediction model will enhances medical care and reduces the cost. This study gives us significant knowledge that can help us predict the person with heart disease. The dataset was collected from Kaggle depository and the model is implemented using python. (shrink)

Introduction -/- 1 Précis -/- 2 Methodology: Introducing digital humanities to the history of philosophy 2.1 Introduction 2.2 Core constructs 2.3 Operationalizing the constructs 2.4 Querying the Nietzsche Source 2.5 Cleaning the data 2.6 Visualizations and preliminary analysis 2.6.1 Visualization of the whole corpus 2.6.2 Book visualizations 2.7 Summary -/- Nietzsche’s Socio-Moral Framework -/- 3 From instincts and drives to types 3.1 Introduction 3.2 The state of the art on drives, instincts, and types 3.2.1 Drives 3.2.2 Instincts 3.2.3 Types 3.3 (...) The semantic neighborhood of drive, instinct, and type 3.4 A theory of (the relations among) instincts, drives, and types 3.4.1 Drives are act-directed rather than outcome-directed dispositions 3.4.2 The reflexive turn in Nietzsche’s drive psychology 3.4.3 Triggers of drive-displacement 3.4.4 Instincts are innate drives 3.4.5 Types are constellations of instincts and other drives 3.4.6 To what extent are types, instincts, and drives fixed? 3.5 Summary -/- 4 From types to virtues 4.1 Introduction 4.2 The state of the art on virtues and values 4.2.1 Virtues 4.2.2 Values 4.3 The semantic neighborhood of virtue and value 4.4 On (the relations among) instincts, drives, types, values, virtues, and values 4.4.1 Virtues are well-calibrated drives 4.4.2 Nietzsche’s type-relative unity of virtue thesis 4.4.3 The type of the criminal 4.4.4 Nietzschean exemplarism and his ad hominem attacks 4.5 Summary -/- 5 Socializing Nietzschean virtues 5.1 Introduction 5.2 Higher-order types 5.2.1 Social character construction 5.2.2 Reflexive character construction 5.3 Eponymous trait terms and Nietzschean summoning 5.3.1 Eponymous trait terms 5.3.2 Nietzschean summoning 5.4 Summary -/- Nietzschean virtues -/- 6 Curiosity 6.1 Introduction 6.2 Curiosity in virtue epistemology 6.3 Curiosity and its affiliated emotions 6.4 Curiosity, perspectivism, and inquiry 6.5 Curiosity as a virtue 6.5.1 A preliminary characterization 6.5.2 Curiosity in the middle through late works 6.6 Summary -/- 7 Courage 7.1 Introduction 7.2 Intellectual courage in contemporary virtue epistemology 7.3 Courage as a virtue 7.3.1 A preliminary characterization 7.3.2 Courage in the middle through late works 7.4 Summary -/- 8 Pathos of distance 8.1 Introduction 8.2 Contempt and disgust in contemporary moral psychology 8.3 The semantic neighborhood of contempt, disgust, and the pathos of distance 8.4 Nietzsche on contempt 8.4.1 Spernere mundum 8.4.2 Spernere neminem 8.4.3 Spernere se ipsum 8.4.4 Spernere se sperni 8.4.5 Nietzsche aims to induce what he considers fitting contempt in receptive readers 8.5 Nietzsche on disgust 8.5.1 The use of disgust: detaching from an ideal 8.5.2 The danger of disgust 8.6 The pathos of distance 8.7 Prospects for a Nietzschean democratic ethos 8.8 Summary -/- 9 Sense of humor 9.1 Introduction 9.2 The semantic neighborhood of laughter, humor, and comedy 9.3 The Nietzschean sense of humor and its functions 9.3.1 From episodic laughter to the sense of humor 9.3.2 Affirmation and inquiry 9.3.3 Negation and inquiry 9.3.4 Affiliation with like-minded inquirers 9.4 Summary -/- 10 Solitude 10.1 Introduction 10.2 Solitude in virtue theory and Nietzsche scholarship 10.3 The semantic neighborhood of solitude 10.4 An account of Nietzschean solitude 10.5 Summary -/- Conclusion -/- 11 Conscience & integrity 11.1 Introduction 11.2 Conscience and integrity in contemporary moral psychology and Nietzsche scholarship 11.2.1 Conscience and integrity in contemporary moral psychology 11.2.2 Conscience and integrity in Nietzsche commentary 11.3 The semantic neighborhood of conscience and integrity 11.4 Distinguishing conscience, good conscience, bad conscience, and intellectual conscience 11.4.1 Conscience 11.4.2 Good conscience 11.4.3 Bad conscience 11.4.4 Intellectual conscience and integrity 11.5 Summary -/- 12 Prospectus 12.1 Future directions in moral psychology 12.2 Future directions in Nietzsche scholarship 12.3 Future directions in digital humanities and the history of philosophy . (shrink)

The current ethical and regulatory framework for research is often charged with burdening investigators and impeding socially valuable research. To address these concerns, a growing number of research ethicists argue that informed consent should be adapted to the risks of research participation. This would require less rigorous consent standards in low-risk research than in high-risk research. However, the current discussion is restricted to cases of research in which the risks of research participation are outweighed by the potential clinical benefits for (...) the individual research participant. Furthermore, current proposals do not address the worry that risk-adapted informed consent may result in enrolling participants into research without their autonomous authorization. In this paper, we show how the standard view of informed consent – consent as autonomous authorization – can be adapted to risk even when the research does not have a favourable risk-benefit profile for the participant. Our argument has two important implications: first, it implies that current and proposed consent standards are not adequately calibrated to risk and, second, that consent standards also need to be adapted to factors other than risk. (shrink)

This paper analyses the phenomenology and epistemology of chatbots such as ChatGPT and Bard. The computational architecture underpinning these chatbots are large language models (LLMs), which are generative artificial intelligence (AI) systems trained on a massive dataset of text extracted from the Web. We conceptualise these LLMs as multifunctional computational cognitive artifacts, used for various cognitive tasks such as translating, summarizing, answering questions, information-seeking, and much more. Phenomenologically, LLMs can be experienced as a “quasi-other”; when that happens, users anthropomorphise them. (...) For most users, current LLMs are black boxes, i.e., for the most part, they lack data transparency and algorithmic transparency. They can, however, be phenomenologically and informationally transparent, in which case there is an interactional flow. Anthropomorphising and interactional flow can, in some users, create an attitude of (unwarranted) trust towards the output LLMs generate. We conclude this paper by drawing on the epistemology of trust and testimony to examine the epistemic implications of these dimensions. Whilst LLMs generally generate accurate responses, we observe two epistemic pitfalls. Ideally, users should be able to match the level of trust that they place in LLMs to the degree that LLMs are trustworthy. However, both their data and algorithmic opacity and their phenomenological and informational transparency can make it difficult for users to calibrate their trust correctly. The effects of these limitations are twofold: users may adopt unwarranted attitudes of trust towards the outputs of LLMs (which is particularly problematic when LLMs hallucinate), and the trustworthiness of LLMs may be undermined. (shrink)

Emotions might contribute to our being rational cognitive agents. Anxiety – and more specifically epistemic anxiety – provides an especially interesting case study into the role of emotion for adaptive cognition. In this paper, I aim at clarifying the epistemic contribution of anxiety, and the role that ill-calibrated anxiety might play in maladaptive epistemic activities which can be observed in psychopathology. In particular, I argue that this emotion contributes to our ability to adapt our cognitive efforts to how we represent (...) the practical factors relevant to the task at hand, by sig- naling the need for increased cognitive processing and evidence gathering in high- stakes situations. I hypothesize that dysfunctional or ill-calibrated epistemic anxiety might play an important role in the motivation driving persons with obsessive- compulsive disorder (OCD) to invest high amounts of cognitive resources into the resolution of apparently simple and innocuous questions. As I argue, OCD might be conceived as a case in which epistemic anxiety is inappropriately elicited, represent- ing these as high-stakes questions, and inadequately signaling a need for cognition. In this paper, I thus make use of the concept of (epistemic) anxiety as developed in the philosophy of emotion and in epistemology, to propose an account of the role of anxiety in the pathological doubt that is central to obsessive-compulsive disorder. (shrink)

Although Nietzsche accepted a distant cousin of Brian Leiter’s “Doctrine of Types,” according to which, “Each person has a fixed psycho-physical constitution, which defines him as a particular type of person,” the details of his actual view are quite different from the flat-footed position Leiter attributes to him. Leiter argues that Nietzsche thought that type-facts partially explain the beliefs and actions, including moral beliefs and actions, of the person whom those type-facts characterize. With this much, I agree. However, the Doctrine (...) of Types as formulated by Leiter, is manifestly unsupported both by Nietzsche’s texts and as an empirical hypothesis. Although Leiter has teamed up with Joshua Knobe to shore up the empirical credentials of his version of the Doctrine of Types, and although Knobe is one of the best experimental philosophers currently working in moral psychology, their account of the Doctrine is wrong both textually and empirically. That is to say, Nietzsche did not hold the version of the Doctrine they attribute to him, and it’s a good thing he didn’t, because the version that he actually did hold is better empirically supported than the version that they attribute to him. For Nietzsche – and in reality – types are not immutable or fixed. Although not everyone is endowed with the same type, which type someone belongs to can (though needn’t) evolve over the course of her lifetime. In particular, whereas I agree with Leiter that the neo-Aristotelian account of character development is empirically inadequate, I do so not because I think no character development occurs but because I think that character development occurs in a different way. In addition, for Nietzsche – and in reality – types on their own are not normative. Character, which is normatively evaluable, only arises through the refinement, calibration, and development of temperament. It might seem like I’ve just set myself an ambitious-enough goal, but I want to do more in this paper. The main point I want to argue is that Nietzsche held a person-type-relative unity of virtue thesis, according to which what’s intrinsically good for a particular person is to develop and act from particular character traits that “fit” her type. (shrink)

We explore the ethics of deliberately exposing consenting adults to SARS-CoV-2 to induce immunity to the virus (“DEI” for short). We explain what a responsible DEI program might look like. We explore a consequentialist argument for DEI according to which DEI is a viable harm-reduction strategy. Then we consider a non-consequentialist argument for DEI that draws on the moral significance of consent. Additionally, we consider arguments for the view that DEI is unethical on the grounds that, given that large-scale DEI (...) would be highly likely to result in some severe illnesses and deaths, DEI amounts to a form of killing. Our thesis is that incorporating a DEI program alongside the status-quo “calibrate-the-curve” responses could have significant advantages at the early stages of pandemics. These potential advantages mean that, at a minimum, research into DEI would have been justified early in the COVID-19 pandemic, and that DEI programs should be explored as potential additions to our overall approach to emerging pandemics in the future. (shrink)

Recent treatments of imagination have increasingly treated imagining as a skill. Insofar as imaginative accuracy is one of the factors that underwrites this skill, it is important to understand what it means to say that an imagining is accurate. This paper takes up that task. The discussion proceeds in four parts. First, I address two worries that may naturally arise about the coherence ofthe notion of imaginative accuracy. Second, with those worries addressed, I turn to an exploration of what is (...) meant by imaginative accuracy. My discussion relies on two key points: first, that accuracy is best understood in terms of aim; and second, that imaginings aim at the representation of fictional states of affairs. I call this line of thought _the fictionality approach_. Third, I look more closely at six different types of imaginings in an effort to develop and clarify the fictionality approach. Finally, I turn to what I call the calibration objection. Given the nature of imagination, there seems to be no way to calibrate one’s judgments of imaginative accuracy. After showing how much of the force of the calibration objection can be defused, I offer some brief concluding remarks. (shrink)