American Sign Language, or ASL as its acronym is commonly known, is a fascinating language, and many people outside of the Deaf community have begun to recognize its value and purpose. It is a visual language consisting of coordinated hand gestures, body movements, and facial expressions. Sign language is not a universal language; it varies by country and is heavily influenced by the native language and culture. The American Sign Language alphabet and the British Sign Language alphabet are completely contrary. (...) Fingerspelling is one-handed in ASL and two-handed in BSL, with the exception of the letter C. AI technologies, particularly deep learning, can play an important role in breaking down communication barriers between deaf or hearing-impaired people and other communities, significantly contributing to their social inclusion. Recent advances in sensing technologies and AI algorithms have paved the way for the development of a wide range of applications aimed at meeting the needs of the deaf and hearing-impaired communities. To that end, the purpose of this paper is By attempting to translate sign language using artificial intelligence algorithms, we focused in this paper on a transfer learning technique based on deep learning using a ResNet algorithm and compared it to previous papers in which we used VGG19[1]and mobileNet [2], where we get in the ResNet algorithm on the degree of Accuracy 93,48% e number of images (43500 in the dataset in size 64*64 pixel ) and the data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch. (shrink)

Chapter: WHITE PRIVILEGE AND THE COLOR OF FEAR This chapter focuses on the role that power, innocence and ignorance play in maintaining the position of white privilege. There are times when white people use their privilege in ways that overtly attempt to put and keep people of color in their places, but more often white privilege is less obvious. White privilege does not stand out in white peoples’ behavior at all times. When white behavior is normalized, it is masked. At (...) these times, white privilege and power hide behind the masks of innocence and the masks of ignorance. White people can mask from themselves and others their location with relations to power. In the film, The Color of Fear, David C. hides his power. As he hides his power, he keeps his privilege invisible, that is, behind a mask. In this chapter, we focus on the masking and unmasking of innocence and ignorance to get a better look at how the process of normalization of these masks makes whiteness powerful and consequently hides white privilege. The logic of power and privilege is reflected in the following relationship: -/- innocence + ignorance = Invisibility (of White Privilege) -/- . (shrink)

This article aims to draw on the ‘Qur'anic Rationalism’ of Taqī al-Dīn Ibn Taymiyya (1263–1328) in elucidating an Islamic epistemology of theistic natural signs, in the lens of contemporary philosophy of religion. In articulating what Ibn Taymiyya coins ‘God's method of proof through signs (istidlāluhu taʿālā bi'l-āyāt)’, it seeks aid in particular from the work of C. Stephen Evans and other contemporary philosophers of religion, in an attempt to understand the relevance and force of this alternative to natural theology within (...) the Islamic tradition. In doing so, it aims to respond to existing criticisms of Ibn Taymiyya's perspective in the literature, and to consider the implications of a Taymiyyan reading of theistic natural signs, on the epistemic function of Qur'anic āyāt as theistic evidence. (shrink)

Many of those working on moral responsibility assume that "once blameworthy, always blameworthy." They believe that blameworthiness is like diamonds: it is forever. We argue that blameworthiness is not forever; rather, it can diminish through time. We begin by showing that the view that blameworthiness is forever is best understood as the claim that personal identity is sufficient for diachronic blameworthiness. We argue that this view should be rejected because it entails that blameworthiness for past action is completely divorced from (...) the distinctive psychological features of the person at the later time. This is because on none of the leading accounts of personal identity does identity require the preservation of any distinctive psychological features, but merely requires some form of continuity. The claim that blameworthiness is forever should therefore be rejected. We then sketch an account of blameworthiness over time, and consider two objections. (shrink)

This article argues that a person’s well-being at a time and the goodness of her life are two distinct values. It is commonly accepted as platitudinous that well-being is what makes a life good for the person who lives it. Even philosophers who distinguish between well-being at a time and the goodness of a life still typically assume that increasing a person’s well-being at some particular moment, all else equal, necessarily improves her life on the whole. I develop a precise (...) statement of this standard assumption, and then show that it is subject to counterexamples. The possibility of such counterexamples depends only on premises similar to those sometimes invoked to argue that a person’s well-being over a long period is not simply the aggregate well-being of the shorter periods that compose the long period. The refutation of the standard assumption linking well-being and life-goodness entails that these are distinct and sometimes divergent values. As an alternative to the standard assumption, it is proposed that well-being is best understood as an ingredient in a good life. (shrink)

While it is often said that robotics should aspire to reproducible and measurable results that allow benchmarking, I argue that a focus on benchmarking can be a hindrance for progress in robotics. The reason is what I call the ‘measure-target confusion’, the confusion between a measure of progress and the target of progress. Progress on a benchmark (the measure) is not identical to scientific or technological progress (the target). In the past, several academic disciplines have been led into pursuing only (...) reproducible and measurable ‘scientific’ results – robotics should be careful to follow that line because results that can be benchmarked must be specific and context-dependent, but robotics targets whole complex systems for a broad variety of contexts. While it is extremely valuable to improve benchmarks to reduce the distance be- tween measure and target, the general problem to measure progress towards more intelligent machines (the target) will not be solved by benchmarks alone; we need a balanced approach with sophisticated benchmarks, plus real-life testing, plus qualitative judgment. (shrink)

This paper proposes to reconstruct Boaventura de Sousa Santos' conception of "epistemologies of the south" both (a) as a critical theory aiming at denouncing the impoverishment of the epistemic field entailed by the normative imposition of a certain model of knowledge (what we call "the monoculture of reason"), and (b) as a long-term political project of a harmonic coexistence of different epistemologies ("an ecology of knowledges").

In this essay I will try to convince you: (1) that the question of God’s relation to time is of practical relevance for every believer (2) that the idea of God being outside time is a philosophically untenable concept which creates major clashes with Christian doctrine and therefore that every Christian should adopt some temporalist view of God To do that, I will present four arguments against the “outside time” view of God. I then briefly treat the question where the (...) idea of God’s timelessness presumably came from and conclude with an outlook on problems that temporalist accounts of God must face. (shrink)

Standpoint theorists have long been clear that marginalization does not make better understanding a given. They have been less clear, though, that social dominance does not make ignorance a given. Indeed, many standpoint theorists have implicitly committed themselves to what I call the strong epistemic disadvantage thesis. According to this thesis, there are strong, substantive limits on what the socially dominant can know about oppression that they do not personally experience. I argue that this thesis is not just implausible but (...) politically pernicious; it is an excuse for ignorance and silence that stifles our ability to address many injustices. Moreover, I argue that if we are to avoid lending support to the SEDT while working within a standpoint theory framework, we must hold that the socially dominant can achieve marginalized standpoints. So, we must hold that men can achieve feminist standpoints, that white women (and men) can achieve black feminist standpoints, and so on. (shrink)

Recent research has relied on trolley-type sacrificial moral dilemmas to study utilitarian versus nonutili- tarian modes of moral decision-making. This research has generated important insights into people’s attitudes toward instrumental harm—that is, the sacrifice of an individual to save a greater number. But this approach also has serious limitations. Most notably, it ignores the positive, altruistic core of utilitarianism, which is characterized by impartial concern for the well-being of everyone, whether near or far. Here, we develop, refine, and validate a (...) new scale—the Oxford Utilitarianism Scale—to dissociate individual differences in the ‘negative’ (permissive attitude toward instrumental harm) and ‘positive’ (impartial concern for the greater good) dimensions of utilitarian thinking as manifested in the general population. We show that these are two independent dimensions of proto-utilitarian tendencies in the lay population, each exhibiting a distinct psychological profile. Empathic concern, identification with the whole of humanity, and concern for future generations were positively associated with impartial beneficence but negatively associated with instrumental harm; and although instrumental harm was associated with subclinical psychopathy, impartial beneficence was associated with higher religiosity. Importantly, although these two dimensions were independent in the lay population, they were closely associated in a sample of moral philosophers. Acknowledging this dissociation between the instrumental harm and impartial beneficence components of utilitarian thinking in ordinary people can clarify existing debates about the nature of moral psychology and its relation to moral philosophy as well as generate fruitful avenues for further research. (shrink)

There is, in some quarters, concern about high–level machine intelligence and superintelligent AI coming up in a few decades, bringing with it significant risks for humanity. In other quarters, these issues are ignored or considered science fiction. We wanted to clarify what the distribution of opinions actually is, what probability the best experts currently assign to high–level machine intelligence coming up within a particular time–frame, which risks they see with that development, and how fast they see these developing. We thus (...) designed a brief questionnaire and distributed it to four groups of experts in 2012/2013. The median estimate of respondents was for a one in two chance that high-level machine intelligence will be developed around 2040-2050, rising to a nine in ten chance by 2075. Experts expect that systems will move on to superintelligence in less than 30 years thereafter. They estimate the chance is about one in three that this development turns out to be ‘bad’ or ‘extremely bad’ for humanity. (shrink)

Abstract: Sign language recognition is one of the most rapidly expanding fields of study today. Many new technologies have been developed in recent years in the fields of artificial intelligence the sign language-based communication is valuable to not only deaf and dumb community, but also beneficial for individuals suffering from Autism, downs Syndrome, Apraxia of Speech for correspondence. The biggest problem faced by people with hearing disabilities is the people's lack of understanding of their requirements. In this paper we try (...) to fill this gap. By trying to translate sign language using artificial intelligence algorithms, we focused in this paper using transfer learning technique based on deep learning by utilizing a MobileNet algorithm and compared it with the previous paper results[10a], where we get in the Mobilenet algorithm on the degree of Accuracy 93,48% but the VGG16 the accuracy was 100% For the same number of images (43500 in the dataset in size 64*64 pixel ) and the same data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch . (shrink)

Sign Language Recognition (SLR) aims to translate sign language into text or speech in order to improve communication between deaf-mute people and the general public. This task has a large social impact, but it is still difficult due to the complexity and wide range of hand actions. We present a novel 3D convolutional neural network (CNN) that extracts discriminative spatial-temporal features from photo datasets. This article is about classification of sign languages are not universal and are usually not mutually intelligible (...) although there are also similarities among different sign languages. They are the foundation of local Deaf cultures and have evolved into effective means of communication. Although signing is primarily used by the deaf and hard of hearing, hearing people also use it when they are unable to speak, when they have difficulty speaking due to a health condition or disability (augmentative and alternative communication), or when they have deaf family members, such as children of deaf adults. In this article we use the 43500 image in the dataset in size 64*64 pixel by use CNN Architecture and achieved 100% accuracy. (shrink)

The extent to which individuals with a variety of cultural backgrounds differ in empathic responsiveness is unknown. This article describes the differences in trait empathy in one independent and one interdependent society (i.e., the US and Iran, respectively). The analysis of data collected from self-reported questionnaires answered by 326 adults indicated a significant difference in the cognitive component of empathy concerning participants’ affiliation to either egocentric or socio-centric society: Iranian participants with interdependent cultural norms, reported higher cognitive empathy compared to (...) American participants who share independent cultural norms. In line with previous studies, gender differences were observed in all subscales of questionnaires, except the Empathy Quotient (EQ). Female participants demonstrated more empathy than males in both samples. Implications for understanding the cross-cultural differences of various components of empathy are discussed. (shrink)

This paper sets out a research agenda for a political theory of climate displacement, by critically examining one prominent proposal—the idea of a normative status for ‘climate refugees’—and by proposing an alternative. Drawing on empirical work on climate displacement, I show that the concept of the climate refugee obscures the complexity and heterogeneity of climate displacement. I argue that, because of this complexity and heterogeneity, approaches to climate displacement that put the concept of the climate refugee at their centre will (...) fail to treat like cases alike and relevantly different cases differently. In response to these failings, I outline an alternative—the pluralist theory of climate displacement—which confronts the specific challenges that climate displacement poses in different practical and institutional contexts, whilst also treating climate displacement as a unified phenomenon at the second-order level of burden-sharing. (shrink)

Cognitive scientists have been debating how the folk concept of intentional action works. We suggest a simple account: people consider that an agent did X intentionally to the extent that X was causally dependent on how much the agent wanted X to happen (or not to happen). Combined with recent models of human causal cognition, this definition provides a good account of the way people use the concept of intentional action, and offers natural explanations for puzzling phenomena such as the (...) side-effect effect. We provide empirical support for our theory, in studies where we show that people’s causation and intentionality judgments track each other closely, in everyday situations as well as in scenarios with unusual causal structures. Study 5 additionally shows that the effect of norm violations on intentionality judgments depends on the causal structure of the situation, in a way uniquely predicted by our theory. Taken together, these results suggest that the folk concept of intentional action has been difficult to define because it is made of cognitive building blocks, such as our intuitive concept of causation, whose logic cognitive scientists are just starting to understand. (shrink)

Functional decomposition is an important goal in the life sciences, and is central to mechanistic explanation and explanatory reduction. A growing literature in philosophy of science, however, has challenged decomposition-based notions of explanation. ‘Holists’ posit that complex systems exhibit context-sensitivity, dynamic interaction, and network dependence, and that these properties undermine decomposition. They then infer from the failure of decomposition to the failure of mechanistic explanation and reduction. I argue that complexity, so construed, is only incompatible with one notion of decomposition, (...) which I call ‘atomism’, and not with decomposition writ large. Atomism posits that function ascriptions must be made to parts with minimal reference to the surrounding system. Complexity does indeed falsify atomism, but I contend that there is a weaker, ‘contextualist’ notion of decomposition that is fully compatible with the properties that holists cite. Contextualism suggests that the function of parts can shift with external context, and that interactions with other parts might help determine their context-appropriate functions. This still admits of functional decomposition within a given context. I will give examples based on the notion of oscillatory multiplexing in systems neuroscience. If contextualism is feasible, then holist inferences are faulty—one cannot infer from the presence of complexity to the failure of decomposition, mechanism, and reductionism. (shrink)

There is an undeniable tendency to dismiss women’s sexual assault allegations out of hand. However, this tendency is not monolithic—allegations that black men have raped white women are often met with deadly seriousness. I argue that contemporary rape culture is characterized by the interplay between rape myths that minimize rape, and myths that catastrophize rape. Together, these two sets of rape myths distort the epistemic resources that people use when assessing rape allegations. These distortions result in the unjust exoneration of (...) people we cannot conceive of as monstrous, while making it too easy to believe that some marginalized people could be rapists. I also argue that rape myths enable a novel kind of epistemic injustice. This injustice concerns how our assessments of trustworthiness and our assessments of plausibility interact. I argue that rape myths can result in runaway credibility deflations that can explain both why people fail to believe most women, and also why people may unjustly believe false allegations that white women have been raped by black men. (shrink)

Aristotle’s theory of human happiness in the Nicomachean Ethics explicitly depends on the claim that contemplation (theôria) is peculiar to human beings, whether it is our function or only part of it. But there is a notorious problem: Aristotle says that divine beings also contemplate. Various solutions have been proposed, but each has difficulties. Drawing on an analysis of what divine contemplation involves according to Aristotle, I identify an assumption common to all of these proposals and argue for rejecting it. (...) This allows a straightforward solution to the problem and there is evidence that Aristotle would have adopted it. (shrink)

Due to Gӧdel’s incompleteness results, the categoricity of a sufficiently rich mathematical theory and the semantic completeness of its underlying logic are two mutually exclusive ideals. For first- and second-order logics we obtain one of them with the cost of losing the other. In addition, in both these logics the rules of deduction for their quantifiers are non-categorical. In this paper I examine two recent arguments –Warren (2020), Murzi and Topey (2021)– for the idea that the natural deduction rules for (...) the first-order universal quantifier are categorical, i.e., they uniquely determine its semantic intended meaning. Both of them make use of McGee’s open-endedness requirement and the second one uses in addition Garson’s (2013) local models for defining the validity of these rules. I argue that the success of both these arguments is relative to their semantic or infinitary assumptions, which could be easily discharged if the introduction rule for the universal quantifier is taken to be an infinitary rule, i.e. non-compact. Consequently, I reconsider the use of the ω-rule and I show that the addition of the ω-rule to the standard formalizations of first-order logic is categorical. In addition, I argue that the open-endedness requirement does not make the first-order Peano Arithmetic categorical and I advance an argument for its categoricity based on the inferential conservativity requirement. (shrink)

Will future lethal autonomous weapon systems (LAWS), or ‘killer robots’, be a threat to humanity? The European Parliament has called for a moratorium or ban of LAWS; the ‘Contracting Parties to the Geneva Convention at the United Nations’ are presently discussing such a ban, which is supported by the great majority of writers and campaigners on the issue. However, the main arguments in favour of a ban are unsound. LAWS do not support extrajudicial killings, they do not take responsibility away (...) from humans; in fact they increase the abil-ity to hold humans accountable for war crimes. Using LAWS in war would probably reduce human suffering overall. Finally, the availability of LAWS would probably not increase the probability of war or other lethal conflict—especially as compared to extant remote-controlled weapons. The widespread fear of killer robots is unfounded: They are probably good news. (shrink)

In this article I argue that the value of epistemic justification cannot be adequately explained as being instrumental to truth. I intend to show that false belief, which is no means to truth, can nevertheless still be of epistemic value. This in turn will make a good prima facie case that justification is valuable for its own sake. If this is right, we will have also found reason to think that truth value monism is false: assuming that true belief does (...) have value, there is more of final epistemic value than mere true belief. (shrink)

We discuss at some length evidence from the cognitive science suggesting that the representations of objects based on spatiotemporal information and featural information retrieved bottomup from a visual scene precede representations of objects that include conceptual information. We argue that a distinction can be drawn between representations with conceptual and nonconceptual content. The distinction is based on perceptual mechanisms that retrieve information in conceptually unmediated ways. The representational contents of the states induced by these mechanisms that are available to a (...) type of awareness called phenomenal awareness constitute the phenomenal content of experience. The phenomenal content of perception contains the existence of objects as separate things that persist in time and time, spatiotemporal information, and information regarding relative spatial relations, motion, surface properties, shape, size, orientation, color, and their functional properties. (shrink)

The standard assumption for what perception must do in order to represent a “higher level” content—say, tiger—is that it must represent the kind as such. I argue that this “as such condition” is not constitutive of what it means for a content to be “higher‐level”, and that embracing it produces a range of unfortunate dialectical consequences. After offering this critique, I give an alternative construal, the “extended perceptual space” view of higher‐level contents. This view captures the phenomena targeted by the (...) “higher‐level content” thesis, is empirically supported, and avoids the negative dialectical consequences of the as such condition. (shrink)

Aristotle’s typical procedure is to identify something's four causes. Intentional action has typically been treated as an exception: most think that Aristotle has the standard causalist account, according to which an intentional action is a bodily movement efficiently caused by an attitude of the appropriate sort. I show that action is not an exception to Aristotle’s typical procedure: he has the resources to specify four causes of action, and thus to articulate a powerful theory of action unlike any other on (...) offer. (shrink)

The use of the symbol ∨for disjunction in formal logic is ubiquitous. Where did it come from? The paper details the evolution of the symbol ∨ in its historical and logical context. Some sources say that disjunction in its use as connecting propositions or formulas was introduced by Peano; others suggest that it originated as an abbreviation of the Latin word for “or,” vel. We show that the origin of the symbol ∨ for disjunction can be traced to Whitehead and (...) Russell’s pre-Principia work in formal logic. Because of Principia’s influence, its notation was widely adopted by philosophers working in logic (the logical empiricists in the 1920s and 1930s, especially Carnap and early Quine). Hilbert’s adoption of ∨ in his Grundzüge der theoretischen Logik guaranteed its widespread use by mathematical logicians. The origins of other logical symbols are also discussed. (shrink)

Inspired by recent breakthroughs in predictive modeling, practitioners in both industry and government have turned to machine learning with hopes of operationalizing predictions to drive automated decisions. Unfortunately, many social desiderata concerning consequential decisions, such as justice or fairness, have no natural formulation within a purely predictive framework. In efforts to mitigate these problems, researchers have proposed a variety of metrics for quantifying deviations from various statistical parities that we might expect to observe in a fair world and offered a (...) variety of algorithms in attempts to satisfy subsets of these parities or to trade o the degree to which they are satised against utility. In this paper, we connect this approach to fair machine learning to the literature on ideal and non-ideal methodological approaches in political philosophy. The ideal approach requires positing the principles according to which a just world would operate. In the most straightforward application of ideal theory, one supports a proposed policy by arguing that it closes a discrepancy between the real and the perfectly just world. However, by failing to account for the mechanisms by which our non-ideal world arose, the responsibilities of various decision-makers, and the impacts of proposed policies, naive applications of ideal thinking can lead to misguided interventions. In this paper, we demonstrate a connection between the fair machine learning literature and the ideal approach in political philosophy, and argue that the increasingly apparent shortcomings of proposed fair machine learning algorithms reflect broader troubles faced by the ideal approach. We conclude with a critical discussion of the harms of misguided solutions, a reinterpretation of impossibility results, and directions for future research. (shrink)

In this chapter, I describe my “post-diagnosis” experiences as the parent of an autistic child, those years in which I tried, but failed, to make sense of the overwhelming and often nonsensical information I received about autism. I argue that immediately after being given an autism diagnosis, parents are pressured into making what amounts to a life-long commitment to a therapy program that (they are told) will not only dramatically change their child, but their family’s financial situation and even their (...) entire mode of existence. Moreover, despite information overload, many treatment programs for autism rely on empty jargon and make completely unrealistic promises, so parents are left feeling overwhelmed and panicked. Even well respected therapy programs encourage parents to spend liberally. Indeed, autistic therapists, who help construct what I refer to as the Culture of Autism, advise parents to commit to a minimum of 35 to 45 hours of intensive therapy every week. The implications are clear: for a parent who works full-time, their autistic child becomes a second full-time job. Autism is big business right now, and therapists are pushing parents to the brink of desperation. So it is not too surprising that there is a desperate cry for a more permanent solution—which is why researchers seek to cure autism. But there are two ways to conceptualize cure. A Therapeutic Cure model (TC) conceives of a cure as a beneficial treatment for the patient that eliminates or ameliorates the harms of the disease or condition. But the notion of a therapeutic cure for autism is highly implausible, given the complexities of autism. Indeed, at this point, the vast majority of researchers have come to the conclusion that the idea of a therapeutic cure for autism is simply a non-starter. Therefore the bulk of research seeking a cure for autism focuses instead on a second approach, which I refer to as the Negative Eugenics Cure model (NEC). With this model, the intention is to eliminate the disease or condition without regard for the health or well-being of the organism carrying the disease or condition. So, with regard to autism, researchers are focusing on identifying genetic markers for autism that can be detected in utero, or in embryos, so that autistic fetuses can be eliminated and autism eradicated by preventing the existence of autistic individuals. I review both models and argue that both fail to provide convincing arguments that the “solution” either offers is desirable. Both rest on the assumption that autism renders a life not worth living which, all things considered, is false. Instead of pushing to cure autism, an idea pervasive in this Culture of Autism, I contend that autistics are individuals with lives worth living. Moreover, rather than expend millions on research to search for the means to eliminate autism, we should instead expend our resources to ensure autistic individuals have access to support they may need. If the phenomenology of autism were better understood and appreciated, the panicked demand for a cure for autism might abate and perhaps autism could be seen as having value in and of its own right. (shrink)

Logical inferentialism maintains that the formal rules of inference fix the meanings of the logical terms. The categoricity problem points out to the fact that the standard formalizations of classical logic do not uniquely determine the intended meanings of its logical terms, i.e., these formalizations are not categorical. This means that there are different interpretations of the logical terms that are consistent with the relation of logical derivability in a logical calculus. In the case of the quantificational logic, the categoricity (...) problem is generated by the finite nature of the standard calculi and one direction in which it can be solved is to strengthen the deductive systems by adding infinitary rules (such as the ω-rule), i.e., to construct a full formalization. Another main direction is to provide a natural semantics for the standard rules of inference, i.e., a semantics for which these rules are categorical. My aim in this paper is to analyze some recent approaches for solving the categoricity problem and to argue that a logical inferentialist should accept the infinitary rules of inference for the first order quantifiers, since our use of the expressions “all” and “there is” leads us beyond the concrete and finite reasoning, and human beings do sometimes employ infinitary rules of inference in their reasoning. (shrink)

Cognitive penetration of perception is the idea that what we see is influenced by such states as beliefs, expectations, and so on. A perceptual belief that results from cognitive penetration may be less justified than a nonpenetrated one. Inferentialism is a kind of internalist view that tries to account for this by claiming that some experiences are epistemically evaluable, on the basis of why the perceiver has that experience, and the familiar canons of good inference provide the appropriate standards by (...) which experiences are evaluated. I examine recent defenses of inferentialism by Susanna Siegel, Peter Markie, and Matthew McGrath and argue that the prospects for inferentialism are dim. (shrink)

The philosophy of AI has seen some changes, in particular: 1) AI moves away from cognitive science, and 2) the long term risks of AI now appear to be a worthy concern. In this context, the classical central concerns – such as the relation of cognition and computation, embodiment, intelligence & rationality, and information – will regain urgency.

Traditionally, logic has been the dominant formal method within philosophy. Are logical methods still dominant today, or have the types of formal methods used in philosophy changed in recent times? To address this question, we coded a sample of philosophy papers from the late 2000s and from the late 2010s for the formal methods they used. The results indicate that the proportion of papers using logical methods remained more or less constant over that time period but the proportion of papers (...) using probabilistic methods was approximately three times higher in the late 2010s than it was in the late 2000s. Further analyses explored this change by looking more closely at specific methods, specific levels of technical engagement, and specific subdisciplines within philosophy. These analyses indicate that the increasing proportion of papers using probabilistic methods was pervasive, not confined to particular probabilistic methods, levels of sophistication, or subdisciplines. (shrink)

Intentions are commonly conceived of as discrete mental states that are the direct cause of actions. In the last several decades, neuroscientists have taken up the project of finding the neural implementation of intentions, and a number of areas have been posited as implementing these states. We argue, however, that the processes underlying action initiation and control are considerably more dynamic and context sensitive than the concept of intention can allow for. Therefore, adopting the notion of ‘intention’ in neuroscientific explanations (...) can easily lead to misinterpretation of the data, and can negatively influence investigation into the neural correlates of intentional action.We suggest reinterpreting the mechanisms underlying intentional action, and we will discuss the elements that such a reinterpretation needs to account for. (shrink)

Deception sometimes results in nonconsensual sex. A recent body of literature diagnoses such violations as invalidating consent: the agreement is not morally transformative, which is why the sexual contact is a rights violation. We pursue a different explanation for the wrongs in question: there is valid consent, but it is not consent to the sex act that happened. Semantic conventions play a key role in distinguishing deceptions that result in nonconsensual sex (like stealth condom removal) from those that don’t (like (...) white lies). Our framework is also applicable to more controversial cases, like those implicated in so-called “gender fraud” complaints. (shrink)

The main thrust of this study is to examine the impact of social cost on the corporate performance of petroleum marketing firms in Nigeria. Ex post facto research design was adopted, secondary sources of data were collected for analysis of results and interpretation of data. The results indicated that social cost positively influences the corporate performance of petroleum marketing firms in Nigeria. Hence, it was recommended that the federal government should mandate all petroleum marketing companies to capture and disclose all (...) quantitative data relating to corporate social responsibility which would serve as a boost to the company performances vis-a-vis increased employee productivity. (shrink)

Human cognitive acts are directed towards objects extended in space of a wide range of different types. What follows is a new proposal for bringing order into this typological clutter. The theory of spatially extended objects should make room not only for the objects of physics but also for objects at higher levels, including the objects of geography and of related disciplines. It should leave room for different types of boundaries, including both the bona fide boundaries which we find in (...) the physical world and the fiat (or human-demarcation-induced) boundaries with which much of geography has to deal. Two distinct axiomatic theories of boundaries are accordingly presented, and the need for both is examined in some detail. The resultant dual framework is shown to have application above all for our understanding of issues involving contact, division, and separation, issues which have posed serious difficulties for the ontological theories of boundaries that have been proposed hitherto. (shrink)

The intersection of development and evolution has always harbored conceptual issues, but many of these are on display in contemporary evolutionary developmental biology (evo-devo). These issues include: (1) the precise constitution of evo-devo, with its focus on both the evolution of development and the developmental basis of evolution, and how it fits within evolutionary theory; (2) the nature of evo-devo model systems that comprise the material of comparative and experimental research; (3) the puzzle of how to understand the widely used (...) notion of 'conserved mechanisms'; (4) the definition of evolutionary novelties and expectations for how to explain them; and (5) the demand of interdisciplinary collaboration that derives from investigating complex phenomena at key moments in the history of life, such as the fin-limb transition. This Element treats these conceptual issues with close attention to both empirical detail and scientific practice to offer new perspectives on evolution and development. This title is also available as Open Access on Cambridge Core. (shrink)

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

Outside of philosophy, ‘intuition’ means something like ‘knowing without knowing how you know’. Intuition in this broad sense is an important epistemological category. I distinguish intuition from perception and perception from perceptual experience, in order to discuss the distinctive psychological and epistemological status of evaluative property attributions. Although it is doubtful that we perceptually experience many evaluative properties and also somewhat unlikely that we perceive many evaluative properties, it is highly plausible that we intuit many instances of evaluative properties as (...) such. The resulting epistemological status of evaluative property attributions is very much like it would be if we literally perceived such properties. (shrink)

In general, epistemic internalists hold that an individual’s justification for a belief is exhausted by her reflectively accessible reasons for thinking that the contents of her beliefs are true. Applying this to the epistemology of testimony, a hearer’s justification for beliefs acquired through testimony is exhausted by her reflectively accessible reasons to think that the contents of the speaker’s testimony is true. A consequence of internalism is that subjects that are alike with respect to their reflectively accessible reasons are alike (...) with respect to what they have justification to believe. Testimony should be thought no different: hearers that are alike with respect to reflectively accessible reasons to think that a speaker’s testimony is true are alike with respect to their justification for beliefs based upon that testimony. But it has been recently argued that this view faces powerful counterexamples. So the central question is this: assuming that a hearer can acquire justification to believe a proposition through the testimony of a speaker, can epistemic internalism provide the resources to explain how such justification is possible? My aim in this paper is to address these counterexamples, and in so doing, defend epistemic internalist accounts of testimony. (shrink)

there is a communication gap between hearing-impaired people and those with normal hearing, sign language is the main means of communication in the hearing-impaired population. Continuous sign language recognition, which can close the communication gap, is a difficult task since the ordered annotations are weakly supervised and there is no frame-level label. To solve this issue, we compare the accuracy of each model using two deep learning models, Inception and Xception . To that end, the purpose of this paper is (...) By attempting to translate sign language using deep learning models, we focused in this paper a comparing between Inception and Xception ¬¬¬¬¬ algorithm and compared it to previous papers in which we used VGG19[1], mobileNet [2], where we get in the Inception and Xception algorithm on the degree of Accuracy 99.32%, 99,43% respectively. number of images (29000 in the dataset in size 75*75 pixel ) and the data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch. (shrink)

In reference to the philosophical theology of medieval Islamic theologian Ibn Taymiyya, this paper outlines a parallel between Taymiyyan thought and Alvin Plantinga’s thesis of ‘Reformed Epistemology’. In critiquing a previous attempt to build an account of ‘Islamic externalism’, the Taymiyyan model offers an account that can be seen as wholly ‘Plantingan’.

The theory that all processes in the universe are computational is attractive in its promise to provide an understandable theory of everything. I want to suggest here that this pancomputationalism is not sufficiently clear on which problem it is trying to solve, and how. I propose two interpretations of pancomputationalism as a theory: I) the world is a computer and II) the world can be described as a computer. The first implies a thesis of supervenience of the physical over computation (...) and is thus reduced ad absurdum. The second is underdetermined by the world, and thus equally unsuccessful as theory. Finally, I suggest that pancomputationalism as metaphor can be useful. – At the Paderborn workshop in 2008, this paper was presented as a commentary to the relevant paper by Gordana Dodig-Crnkovic " Info-Computationalism and Philosophical Aspects of Research in Information Sciences". (shrink)

Logical inferentialism maintains that the formal rules of inference fix the meanings of the logical terms. The categoricity problem points out to the fact that the standard formalizations of classical logic do not uniquely determine the intended meanings of its logical terms, i.e., these formalizations are not categorical. This means that there are different interpretations of the logical terms that are consistent with the relation of logical derivability in a logical calculus. In the case of the quantificational logic, the categoricity (...) problem is generated by the finite nature of the standard calculi and one direction in which it can be solved is to strengthen the deductive systems by adding infinitary rules (such as the ω-rule), i.e., to construct a full formalization. Another main direction is to provide a natural semantics for the standard rules of inference, i.e., a semantics for which these rules are categorical. My aim in this paper is to analyze some recent approaches for solving the categoricity problem and to argue that a logical inferentialist should accept the infinitary rules of inference for the first order quantifiers, since our use of the expressions “all” and “there is” leads us beyond the concrete and finite reasoning, and human beings do sometimes employ infinitary rules of inference in their reasoning. (shrink)

Abstract -/- “The Obvious Invisibility of the Relationship Between Technology and Social Values” -/- We all too often assume that technology is the product of objective scientific research. And, we assume that technology’s moral value lies in only the moral character of its user. Yet, in order to objectify technology in a manner that removes it from a moral realm, we rely on the assumption that technology is value neutral, i.e., it is independent of all contexts other than the context (...) in which it is used morally or immorally by someone. However, there is a power to technology. At the very least, technology should be seen as reflecting the values that it rises from: a developmental context. Consequently, we can make the invisible moral realm visible as we investigate the relationship between culture and technology. Pragmatically, we can trace how cultural values inform what counts as a scientific question. When we look at the 1980s epidemiological model for AIDS we see how the presuppositions within a culture frame the type of question asked, i.e. What population do we see AIDS occurring in? This question initially leads scientific research away from actual individual behaviors until a different question is asked that leads the question towards behavioral epidemiological models rather than population models. Secondly, we can make visible the circumstance that depicts that what constitutes a scientific problem has a direct relationship to the types of technologies that are developed. We can more clearly see this circular relationship between culture and technology by looking at clinical research and practice regarding heart disease. Men who were dying of diagnosed heart disease were showing symptoms of problems in large arteries of the heart. Women were also dying of heart disease, but since their large arteries were not overwhelmingly compromised they were not being properly diagnosed until recently. Different technologies and protocol were needed to “see” different symptoms in the smaller vessels of women. Thirdly, I show how the types of technology developed, in turn, can create new values or enhance preexisting values within a culture. DNA research can be used to investigate long, unanswered questions about qualitative dimensions of life in quantitative manners. Yet, long held unanswered questions about a biological basis of race or intelligence are themselves rarely challenged as uninteresting or misguided even when they are tied to prejudicial qualitative assumptions if the chance of a “scientific” answer is possible. When existing technologies or modifications of existing technologies can be used they seem to direct human reactions and behaviors in predictable ways. The technologies themselves may be said to direct culture in ethically valenced manners. (shrink)

In this paper we argue that Socrates is a cognitivist about emotions, but then ask how the beliefs that constitute emotions can come into being, and why those beliefs seem more resistant to change through rational persuasion than other beliefs.