Recent debates in psychopathy studies have articulated concerns about false-positives in assessment and research sampling. These are pressing concerns for research progress, since scientific quality depends on sample quality, that is, if we wish to study psychopathy we must be certain that the individuals we study are, in fact, psychopaths. Thus, if conventional assessment tools yield substantial false-positives, this would explain why central research is laden with discrepancies and nonreplicable findings. This paper draws on moral psychology (...) in order to develop tentative theory-driven exclusion criteria applicable in research sampling. Implementing standardized procedures to discriminate between research participants has the potential to yield more homogenous and discrete samples, a vital prerequisite for research progress in etiology, epidemiology, and treatment strategies. (shrink)

Many epistemologists call themselves ‘fallibilists’. But many philosophers of language hold that the meaning of epistemic usages of ‘possible’ ensures a close knowledge- possibility link : a subject’s utterance of ‘it’s possible that not-p’ is true only if the subject does not know that p. This seems to suggest that whatever the core insight behind fallibilism is, it can’t be that a subject could have knowledge which is, for them, possibly false. I argue that, on the contrary, subjects can (...) have such possibly false knowledge. My ultimate aim, then, is to vindicate a very robust form of fallibilism. Uniquely, however, the account I offer does this while also allowing that concessive knowledge attributions – sentences of the form “I know that p, but it’s possible that not-p” – are not only infelicitous but actually false whenever uttered. The account predicts this result without conceding KPL. I argue that my account has the resources to explain some related cases for which the KPL account yields the wrong predictions. Taken as a whole, the linguistic data not only do not support the proposal that subjects cannot have possibly false knowledge, but indeed positively favor the proposal that they can. (shrink)

An epistemic agent A is a false epistemic authority for others iff they falsely believe A to be in a position to help them accomplish their epistemic ends. A major divide exists between what I call "epistemic quacks", who falsely believe themselves to be relevantly competent, and "epistemic charlatans", i.e., false authorities who believe or even know that they are incompetent. Both types of false authority do not cover what Lackey (2021) calls "predatory experts": experts who systematically (...) misuse their social-epistemic status as a cover for predatory behavior. Qua experts, predatory experts are competent and thus could (and maybe sometimes do) help their clients. But should we count them as genuine epistemic authorities? No, I argue, they are false epistemic authorities because, in addition to their practical and moral misconduct, such experts systematically deceive their clients, thereby thwarting the clients’ epistemic ends. (shrink)

Many authors have argued that epistemic rationality sometimes comes into conflict with our relationships. Although Sarah Stroud and Simon Keller argue that friendships sometimes require bad epistemic agency, their proposals do not go far enough. I argue here for a more radical claim—romantic love sometimes requires we form beliefs that are false. Lovers stand in a special position with one another; they owe things to one another that they do not owe to others. Such demands hold for beliefs as (...) well. Two facets of love ground what I call the false belief requirement , or the demand to form false beliefs when it is for the good of the beloved: the demand to love for the right reasons and the demand to refrain from doxastic wronging. Since truth is indispensable to epistemic rationality, the requirement to believe falsely, consequently, undermines truth norms. I demonstrate that, when the false belief requirement obtains, there is an irreconcilable conflict between love and truth norms of epistemic rationality: we must forsake one, at least at the time, for the other. (shrink)

In his Quadratura, Paul of Venice considers a sophism involving time and tense which appears to show that there is a valid inference which is also invalid. His argument runs as follows: consider this inference concerning some proposition A: A will signify only that everything true will be false, so A will be false. Call this inference B. Then B is valid because the opposite of its conclusion is incompatible with its premise. In accordance with the standard doctrine (...) of ampliation, Paul takes A to be equivalent to 'Everything that is or will be true will be false'. But he proceeds to argue that it is possible that B's premise ('A will signify only that everything true will be false') could be true and its conclusion false, so B is not only valid but also invalid. Thus A and B are the basis of an insoluble. In his Logica Parva, a self-confessedly elementary text aimed at students and not necessarily representing his own view, and in the Quadratura, Paul follows the solution found in the Logica Oxoniensis, which posits an implicit assertion of its own truth in insolubles like B. However, in the treatise on insolubles in his Logica Magna, Paul develops and endorses Swyneshed's solution, which stood out against this ''multiple-meanings'' approach in offering a solution that took insolubles at face value, meaning no more than is explicit in what they say. On this account, insolubles imply their own falsity, and that is why, in so falsifying themselves, they are false. We consider how both types of solution apply to B and how they complement each other. On both, B is valid. But on one (following Swyneshed), B has true premises and false conclusion, and contradictories can be false together; on the other (following the Logica Oxoniensis), the counterexample is rejected. (shrink)

In this paper I will argue that critical theory needs to make its socio-ontological commitments explicit, whilst on the other hand I will posit that contemporary social ontology needs to amend its formalistic approach by embodying a critical theory perspective. In the first part of my paper I will discuss how the question was posed in Horkheimer’s essays of the 1930s, which leave open two options: (1) a constructive inclusion of social ontology within social philosophy, or else (2) a program (...) of social philosophy that excludes social ontology. Option (2) corresponds to Adorno’s position, which I argue is forced to recur to a hidden social ontology. Following option (1), I first develop a metacritical analysis of Searle, arguing that his social ontology presupposes a notion of 'recognition' which it cannot account for. Furthermore, by means of a critical reading of Honneth, I argue that critical theory could incorporate a socioontological approach, giving value to the constitutive socio-ontological role of recognition and to the socio-ontological role of objectification. I will finish with a proposal for a socio-ontological characterization of reification which involves that the basic occurrence of recognition is to be grasped at the level of background practices. (shrink)

This paper argues that the account of teleology previously proposed by the authors is consistent with the physical determinism that is implicit across many of the sciences. We suggest that much of the current aversion to teleological thinking found in the sciences is rooted in debates that can be traced back to ancient natural science, which pitted mechanistic and deterministic theories against teleological ones. These debates saw a deterministic world as one where freedom and agency is impossible. And, because teleological (...) entities seem to be free to either reach their ends or not, it was assumed that they could not be deterministic. Mayr’s modern account of teleonomy adheres to this basic assumption. Yet, the seeming tension between teleology and determinism is illusory because freedom and agency do not, in fact, conflict with a deterministic world. To show this, we present a taxonomy of different types of freedom that we see as inherent in teleological systems. Then we show that our taxonomy of freedom, which is crucial to understanding teleology, shares many of the features of a philosophical position regarding free will that is known in the contemporary literature as ‘compatibilism’. This position maintains that an agent is free when the sources of its actions are internal, when the agent itself is the deterministic cause of those actions. Our view shows that freedom is not only indispensable to teleology, but also that, contrary to common intuitions, there is no conflict between teleology and causal determinism. (shrink)

There is a distinctive form of existential anxiety, neuroexistential anxiety, which derives from the way in which contemporary neuroscience provides copious amounts of evidence to underscore the Darwinian message—we are animals, nothing more. One response to this 21st century existentialism is to promote Eudaimonics, a version of ethical naturalism that is committed to promoting fruitful interaction between ethical inquiry and science, most notably psychology and neuroscience. We argue that philosophical reflection on human nature and social life reveals that while working (...) to be and remain biologically fit, humans also seek meaning in a way that conforms to a pattern recognized by Plato. We argue that human beings should seek “the good,” “the true,” and “the beautiful”; moreover, the proper measure of human flourishing is the degree to which humans achieve these three, in a maximally harmonious way. One potential problem with this view, however, is that it might privilege the role of truth, such that if there is a conflict among these three, what is good or beautiful should yield to what is true. But this seems to conflict with evidence from neuroscience and psychology (e.g. the study of positive illusions) which suggests that people with a tendency to form and harbor certain false beliefs tend to more easily achieve eudaimonia than do those for whom truth takes precedence in all domains. We argue that this conflict is only apparent: the false beliefs in question are not literally beliefs; instead, they are an amalgam of belief and desire, an amalgam that we dub, tertullian beliefs (or, t-beliefs). Among other things, what is distinctive about t-beliefs is that they are able to change the world, in certain specific ways, such that, strictly speaking, it would be erroneous to say of them that they aim away from the truth. Paradoxically, it is because they seem to aim away from the truth, that they are sometimes able to succeed in changing the world so that it matches what we desire, or, what we t-believe. (shrink)

Recent work on skin-brain thesis suggests the possibility of empirical evidence that empiricism is false. It implies that early animals need no traditional sensory receptors to be engaged in cognitive activity. The neural structure required to coordinate extensive sheets of contractile tissue for motility provides the starting point for a new multicellular organized form of sensing. Moving a body by muscle contraction provides the basis for a multicellular organization that is sensitive to external surface structure at the scale of (...) the animal body. In other words, the nervous system first evolved for action, not for receiving sensory input. Thus, sensory input is not required for minimal cognition; only action is. The whole body of an organism, in particular its highly specific animal sensorimotor organization, reflects the bodily and environmental spatiotemporal structure. The skin-brain thesis suggests that, in contrast to empiricist claims that cognition is constituted by sensory systems, cognition may be also constituted by action-oriented feedback mechanisms. Instead of positing the reflex arc as the elementary building block of nervous systems, it proposes that endogenous motor activity is crucial for cognitive processes. In the paper, I discuss the issue whether the skin-brain thesis and its supporting evidence can be really used to overthrow the main tenet of empiricism empirically, by pointing out to cognizing agents that fail to have any sensory apparatus. (shrink)

The debate on whether and why misinformation is bad primarily focuses on the spread of false beliefs as its main harm. From the assumption that misinformation primarily causes harm through the spread of false beliefs as a starting point, it has been contended that the problem of misinformation has been exaggerated. Its tendency to generate false beliefs appears to be limited. However, the near-exclusive focus on whether or not misinformation dupes people with false beliefs neglects other (...) epistemic harms associated with it. Specifically, I show that misinformation also causes trouble for the epistemic goods of truth attainment, intellectual autonomy and debate pluriformity. Moreover, for each of these goods, I argue that emphasizing error-avoidance exacerbates, rather than mitigates, the harms caused by misinformation. These oversights and dilemmas show that prioritizing error-avoidance in the fight against misinformation is not a neutral default policy or necessarily a net positive. A shift in focus away from the spread of false beliefs as the main harm of misinformation is needed to better understand and counter its negative effects. (shrink)

partial review of Thomas Nagel’s book, Mind and Cosmos: Why the Materialist Neo-Darwinian Conception of Nature Is Almost Certainly False is used to articulate some systems-theoretic ideas about the challenge of understanding subjective experience. The article accepts Nagel’s view that reductionist materialism fails as an approach to this challenge, but argues that seeking an explanation of mind based on emergence is more plausible than seeking one based on pan-psychism, which Nagel favors. However, the article proposes something similar to Nagel’s (...) neutral monism by positing a hierarchy of information processes that spans the domains of matter, life, and mind. As depicted in this hierarchy, subjective experience is emergent, but also continuous with informational phenomena at lower levels. (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 (...) class='Hi'>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)

The theory of epistemic vigilance posits that -- to quote the eponymous paper that introduced the theory -- “humans have a suite of cognitive mechanisms for epistemic vigilance, targeted at the risk of being misinformed by others." Despite the widespread acceptance of the theory of epistemic vigilance, however, I argue that the theory is a poor fit with the evidence: while there is good reason to accept that people ARE vigilant, there is also good reason to believe that their vigilance (...) is NOT epistemic. Rather, the evidence actually supports an alternative theory, one that I dub the theory of "Machiavellian vigilance": humans have a suite of cognitive mechanisms for Machiavellian vigilance, targeted at tracking others' relative social status and maintaining or enhancing one's own status. The evidence against epistemic vigilance stems from three sources: (a) data demonstrating that people are terrible at detecting honesty or competence, (b) data demonstrating that our vigilance is phylogenetically prior to the development of homo sapiens, and therefore was not designed to be sensitive to linguistic communication, and (c) data demonstrating that people's sources of information are distributed, and not detectable through individual vigilance. The evidence in favor of Machiavellian vigilance is the mirror image of the evidence against epistemic vigilance: (a) data demonstrating that people are very accurate at detecting status, (b) data demonstrating that social species, including bonobos and chimps, track the social status of their conspecifics, and (c) data demonstrating that people can quickly track status even in new social groups. (shrink)

In his rich and suggestive paper, Alvaro Vallejo argues for the novel thesis that Plato posits a form of pleasure in the Republic and the Philebus. Vallejo argues that the notion of a Platonic form of pleasure best explains other things that Plato says about pleasure. First, Plato draws a distinction between true pleasure and the appearance of pleasure. Second, Plato uses the same language to describe the relationship between forms and their inferior instantiations as he uses to describe the (...) relationship between true and false pleasures. In these comments, I argue that we do not need to posit a form of pleasure to explain these features of the text. Moreover, I argue that on Vallejo’s account of the form of pleasure, the form could not do the job required of it, namely, it could not explain the problem with false pleasures. (shrink)

In this paper I critique the ethical implications of automating CCTV surveillance. I consider three modes of CCTV with respect to automation: manual, fully automated, and partially automated. In each of these I examine concerns posed by processing capacity, prejudice towards and profiling of surveilled subjects, and false positives and false negatives. While it might seem as if fully automated surveillance is an improvement over the manual alternative in these areas, I demonstrate that this is not necessarily (...) the case. In preference to the extremes I argue in favour of partial automation in which the system integrates a human CCTV operator with some level of automation. To assess the degree to which such a system should be automated I draw on the further issues of privacy and distance. Here I argue that the privacy of the surveilled subject can benefit from automation, while the distance between the surveilled subject and the CCTV operator introduced by automation can have both positive and negative effects. I conclude that in at least the majority of cases more automation is preferable to less within a partially automated system where this does not impinge on efficacy. (shrink)

This paper addresses two examples due to Peter Achinstein purporting to show that the positive relevance view of evidence is too strong, that is, that evidence need not raise the probability of what it is evidence for. The first example can work only if it makes a false assumption. The second example fails because what Achinstein claims is evidence is redundant with information we already have. Without these examples Achinstein is left without motivation for his account of evidence, which (...) uses the concept of explanation in addition to that of probability. (shrink)

The inflation of Type I error rates is thought to be one of the causes of the replication crisis. Questionable research practices such as p-hacking are thought to inflate Type I error rates above their nominal level, leading to unexpectedly high levels of false positives in the literature and, consequently, unexpectedly low replication rates. In this article, I offer an alternative view. I argue that questionable and other research practices do not usually inflate relevant Type I error rates. (...) I begin with an introduction to Type I error rates that distinguishes them from theoretical errors. I then illustrate my argument with respect to model misspecification, multiple testing, selective inference, forking paths, exploratory analyses, p-hacking, optional stopping, double dipping, and HARKing. In each case, I demonstrate that relevant Type I error rates are not usually inflated above their nominal level, and in the rare cases that they are, the inflation is easily identified and resolved. I conclude that the replication crisis may be explained, at least in part, by researchers’ misinterpretation of statistical errors and their underestimation of theoretical errors. (shrink)

Sometimes we make mistakes, even when we try to do our best. When those mistakes are about normative matters, such as what is required, this leads to a puzzle. This puzzle arises from the possibility of misleading evidence about what rationality requires. I argue that the best way to solve this puzzle is to distinguish between two kinds of evaluation: requirement and appraisal. The strategy I defend connects three distinct debates in epistemology, ethics, and normativity: the debate over how our (...) theories of epistemic rationality should accommodate misleading evidence, the debate over the relationship between complying with requirements and deserving particular appraisals, and the debate over whether normative ignorance can excuse. Part 1 shows how three apparently plausible claims about epistemic rationality generate a puzzle when agents have misleading evidence about what rationality requires. Part 2 solves this puzzle by distinguishing between evaluations of requirement and appraisal and rejecting the idea that one is required to conform to the Enkratic Principle. I argue instead that complying with the Enkratic Principle provides defeasible evidence that the agent should be positively appraised. One of the consequences of this solution is that false normative beliefs can sometimes excuse agents from negative appraisal they would otherwise deserve for violating requirements. Part 3 defends the view that false normative belief can sometimes excuse against the rival views that false normative belief always excuses, and that false normative belief never excuses. I argue that false normative belief can sometimes excuse violations of requirements, when it is the case that the agent has done what it is reasonable to expect of her. (shrink)

In his "Ontological proof", Kurt Gödel introduces the notion of a second-order value property, the positive property P. The second axiom of the proof states that for any property φ: If φ is positive, its negation is not positive, and vice versa. I put forward that this concept of positiveness leads into a paradox when we apply it to the following self-reflexive sentences: (A) The truth value of A is not positive; (B) The truth value of B is positive. Given (...) axiom 2, sentences A and B paradoxically cannot be both true or both false, and it is also impossible that one of the sentences is true whereas the other is false. (shrink)

This chapter will discuss Spinoza’s critique of free will, though our brief study of this topic in the first part of the chapter will aim primarily at preparing us to address the main topic of the chapter, which is Spinoza’s explanation of the reasons which force us to believe in free will. At times, Spinoza seems to come very close to asserting the paradoxical claim that we are not free to avoid belief in free will. In the second part of (...) the chapter I will closely examine Spinoza’s etiological explanation of how we come to form the belief in free will. In the third part, I will raise and respond to a crucial objection to Spinoza’s explanation of the formation of our belief in free will. I will then turn to examine Fichte’s intriguing claim that Spinoza’s position on the issue of free will suffers from an internal contradiction, as evinced in Fichte’s suggestive remark: “Spinoza could not have been convinced of his own philosophy. He could only have thought of it; he could not have believed it [Er konnte seine Philosphie nur denken, nicht sie glauben].”. (shrink)

It is difficult to be a philosopher in this postmodern era. This is so because philosophers, who heretofore have been the archetype of persons eager to engage in reasoned discourse, regardless of their differences, suddenly seem unable to talk to each other, primarily due to claim by postmoderns that non-postmoderns are naïve in their blindness to the fact that truth the claims cannot be true in any objective sense, and that claims to objectivity have been used maliciously throughout the ages (...) to wield oppression. After exploring some of the seductive arguments of the post-modern position, and suggesting a re-working of the non-post-modern position, this paper will conclude that philosophical educators carry a heavy responsibility for limiting the real-life damage that has been produced by this philosophical truth-storm by siding firmly with its less contentious opposite by becoming guardians of the possibility that claims can be false. (shrink)

This paper attempts to fill an epistemological gap in our theorizing about love with a sketch of an epistemology of love that unfolds by addressing Whitney Houston’s famous epistemological questions pertaining to how we can know whether another loves us. After arguing for three possible sources of the knowledge of love, it offers initial answers to how the knowledge of the presence or absence of another’s love can be acquired from the relevant possible sources previously established. These initial answers, though, (...) are unsatisfying because they invite more difficult questions that are then addressed, such as those pertaining to the kinds of things that constitute love’s expressions along with how to detect these expressions given the possibility of false positives. Addressing these questions ultimately leads to a sharpened, Aristotle-inspired account of how to acquire the knowledge of the presence or absence of another’s love by inferring it, respectively, from the successful or failed detection of love’s expressions. (shrink)

The rise of social media has created a new platform for communication and interaction, but it has also facilitated the spread of harmful behaviors such as cyberbullying. Detecting and mitigating cyberbullying on social media platforms is a critical challenge that requires advanced technological solutions. This paper presents a novel approach to cyberbullying detection using a combination of supervised machine learning (ML) and natural language processing (NLP) techniques, enhanced by optimization algorithms. The proposed system is designed to identify and classify cyberbullying (...) behavior in real-time, analyzing textual data from social media posts to detect harmful content. The model is trained on a large dataset of labeled instances of bullying and non-bullying content, using supervised ML algorithms such as Support Vector Machines (SVM), Decision Trees, and Random Forest. NLP techniques, including sentiment analysis, keyword extraction, and text vectorization, are employed to preprocess and transform the data into a format suitable for machine learning. To optimize the performance of the detection model, techniques such as Grid Search, Genetic Algorithms, and Particle Swarm Optimization are used to fine-tune hyperparameters, resulting in improved accuracy and reduced false positives. The system's effectiveness is validated through experiments conducted on various social media platforms, demonstrating its potential to detect cyberbullying with high precision. Future work will focus on enhancing the model's adaptability to emerging slang and evolving language patterns in social media. Key words: Cyberbullying Detection, Social Media, Supervised Machine Learning, Natural Language Processing (NLP), Optimization Techniques. (shrink)

The Precautionary Principle is both celebrated and criticized. It has become an important principle for decision making, but it is also subject to criticism. One problem that is often pointed out with the principle is that is not clear what it actually says and how to use it. I have taken on this problem by performing an analysis of some of the most influential formulations of the principle in an attempt to identify the core ideas behind it, with the purpose (...) of producing a formulation of the principle that is clear and practically applicable. It was found that what is called the Precautionary Principle is not a principle that tells us what do to achieve extra precaution or how to handle situations when extra precaution is called for. Instead, it was found to be a list of circumstances that each justify extra precaution. An analysis of some of the most common and influential formulations of the Precautionary Principle identified four such circumstances: (1) When we deal with important values that tend to be systematically downplayed by traditional decision methods – such as human health and the environment. (2) When we suspect that the decision might lead to irreversible and severe consequences and the values at stake are also irreplaceable, (3) When timing is at least as important as being right. (4) When it is more important to avoid false negatives than false positives. This interpretation of the Precautionary Principle does not say anything about what kind of actions to take when extra precaution is called for, but it does provide a clear and practically useful list of circumstances that call for extra precaution and that is not subject to the most common objections to the Precautionary Principle. (shrink)

The rise of social media has created a new platform for communication and interaction, but it has also facilitated the spread of harmful behaviors such as cyberbullying. Detecting and mitigating cyberbullying on social media platforms is a critical challenge that requires advanced technological solutions. This paper presents a novel approach to cyberbullying detection using a combination of supervised machine learning (ML) and natural language processing (NLP) techniques, enhanced by optimization algorithms. The proposed system is designed to identify and classify cyberbullying (...) behavior in real-time, analyzing textual data from social media posts to detect harmful content. The model is trained on a large dataset of labeled instances of bullying and non-bullying content, using supervised ML algorithms such as Support Vector Machines (SVM), Decision Trees, and Random Forest. NLP techniques, including sentiment analysis, keyword extraction, and text vectorization, are employed to preprocess and transform the data into a format suitable for machine learning. To optimize the performance of the detection model, techniques such as Grid Search, Genetic Algorithms, and Particle Swarm Optimization are used to fine-tune hyperparameters, resulting in improved accuracy and reduced false positives. The system's effectiveness is validated through experiments conducted on various social media platforms, demonstrating its potential to detect cyberbullying with high precision. Future work will focus on enhancing the model's adaptability to emerging slang and evolving language patterns in social media. (shrink)

In fMRI research, the goal of correcting for multiple comparisons is to identify areas of activity that reflect true effects, and thus would be expected to replicate in future studies. Finding an appropriate balance between trying to minimize false positives (Type I error) while not being too stringent and omitting true effects (Type II error) can be challenging. Furthermore, the advantages and disadvantages of these types of errors may differ for different areas of study. In many areas of (...) social neuroscience that involve complex processes and considerable individual differences, such as the study of moral judgment, effects are typically smaller and statistical power weaker, leading to the suggestion that less stringent corrections that allow for more sensitivity may be beneficial, but also result in more false positives. Using moral judgment fMRI data, we evaluated four commonly used methods for multiple comparison correction implemented in SPM12 by examining which method produced the most precise overlap with results from a meta-analysis of relevant studies and with results from nonparametric permutation analyses. We found that voxel-wise thresholding with family-wise error correction based on Random Field Theory provides a more precise overlap (i.e., without omitting too few regions or encompassing too many additional regions) than either clusterwise thresholding, Bonferroni correction, or false discovery rate correction methods. (shrink)

Individual health assessments (IHAs) for asymptomatic individuals provide a challenge to traditional distinctions between patient care and non-medical practice. They may involve undue radiation exposure, lead to false positives, and involve high out-of-pocket costs for recipients. A recent paper (Journal of the American College of Radiology 13(12): 1447–1457.e1, 2016) has criticised the use of IHAs and argued that recipients should be classified as ‘presenters’, not ‘patients’, to distinguish it from regular medical care. I critique this classificatory move, on (...) two grounds: one, it is conceptually suspect. Two, it obviates the medical ethics framework for IHAs, potentially exposing recipients of IHAs to lower standards of oversight and protection. Responsible regulation of IHAs will be easier to ethically justify if those seeking IHAs are considered patients and not merely presenters. (shrink)

We welcome Mikhalevich & Powell’s (2020) (M&P) call for a more “‘inclusive”’ animal ethics, but we think their proposed shift toward a moral framework that privileges false positives over false negatives will require radically revising the paradigm assumption in animal research: that there is a clear line to be drawn between sentient beings that are part of our moral community and nonsentient beings that are not.

Abstract: Smoke detectors are critical devices for early fire detection and life-saving interventions. This research paper explores the application of Artificial Neural Networks (ANNs) in smoke detection systems. The study aims to develop a robust and accurate smoke detection model using ANNs. Surprisingly, the results indicate a 100% accuracy rate, suggesting promising potential for ANNs in enhancing smoke detection technology. However, this paper acknowledges the need for a comprehensive evaluation beyond accuracy. It discusses potential challenges, such as overfitting, dataset size, (...) and class imbalance, and presents strategies employed to address these issues. Additionally, the paper emphasizes the importance of alternative evaluation metrics, including precision, recall, and F1-score, to assess the model's performance comprehensively. Detailed information regarding the model architecture, data preprocessing, and hyperparameter tuning is provided to enhance the reproducibility of the research. The study also discusses ethical considerations and the implications of false positives and false negatives in smoke detection applications. While achieving 100% accuracy is a notable accomplishment, this paper calls for cautious interpretation and further validation in real-world settings. It concludes by highlighting areas for future research and improvement in smoke detection technology, emphasizing the need for practical deployment and the reduction of false alarms. (shrink)

The replication crisis has caused researchers to distinguish between exact replications, which duplicate all aspects of a study that could potentially affect the results, and direct replications, which duplicate only those aspects of the study that are thought to be theoretically essential to reproduce the original effect. The replication crisis has also prompted researchers to think more carefully about the possibility of making Type I errors when rejecting null hypotheses. In this context, the present article considers the utility of two (...) types of Type I error probability: the Neyman–Pearson long run Type I error rate and the Fisherian sample-specific Type I error probability. It is argued that the Neyman–Pearson Type I error rate is inapplicable in social science because it refers to a long run of exact replications, and social science deals with irreversible units that make exact replications impossible. Instead, the Fisherian sample-specific Type I error probability is recommended as a more meaningful way to conceptualize false positive results in social science because it can be applied to each sample-specific decision about rejecting the same substantive null hypothesis in a series of direct replications. It is concluded that the replication crisis may be partly due to researchers’ unrealistic expectations about replicability based on their consideration of the Neyman–Pearson Type I error rate across a long run of exact replications. (shrink)

Cis moves to innocence are rhetorical moves by which cisgender feminists falsely position their failure to engage with structures of transmisogyny as epistemically and morally virtuous. The notion derives from Tuck and Yang’s (2012) concept of settler moves to innocence and Mawhinney’s (1998) concept of white moves to innocence. This piece considers the case study of Manne’s (2017) work, in which she purports to offer a unified account of misogyny while explicitly refusing to consider transmisogyny. The justification she provides is (...) that she lacks the “requisite authority to do so.” I identify three functions of Manne’s cis move to innocence: i) to allow her to appear to be in solidarity with trans women and transfeminine people without taking on any of the obligations that requires, ii) to structurally reproduce the epistemic exploitation of trans women and transfeminine people, and iii) to reduce the obligations of allies to affect rather than action. (shrink)

At the beginning of the COVID-19 pandemic, high hopes were placed on digital contact tracing. Digital contact tracing apps can now be downloaded in many countries, but as further waves of COVID-19 tear through much of the northern hemisphere, these apps are playing a less important role in interrupting chains of infection than anticipated. We argue that one of the reasons for this is that most countries have opted for decentralised apps, which cannot provide a means of rapidly informing users (...) of likely infections while avoiding too many false positive reports. Centralised apps, in contrast, have the potential to do this. But policy making was influenced by public debates about the right app configuration, which have tended to focus heavily on privacy, and are driven by the assumption that decentralised apps are “privacy preserving by design”. We show that both types of apps are in fact vulnerable to privacy breaches, and, drawing on principles from safety engineering and risk analysis, compare the risks of centralised and decentralised systems along two dimensions, namely the probability of possible breaches and their severity. We conclude that a centralised app may in fact minimise overall ethical risk, and contend that we must reassess our approach to digital contact tracing, and should, more generally, be cautious about a myopic focus on privacy when conducting ethical assessments of data technologies. (shrink)

At the beginning of the COVID-19 pandemic, high hopes were put on digital contact tracing, using mobile phone apps to record and immediately notify contacts when a user reports as infected. Such apps can now be downloaded in many countries, but as second waves of COVID-19 are raging, these apps are playing a less important role than anticipated. We argue that this is because most countries have opted for app configurations that cannot provide a means of rapidly informing users of (...) likely infections while avoiding too many false positive reports. Mathematical modelling suggests that differently configured apps have the potential to do this. These require, however, that some pseudonymised data be stored on a central server, which privacy advocates have cautioned against. We contend that their influential arguments are subject to two fallacies. First, they have tended to one-sidedly focus on the risks that centralised data storage entails for privacy, while paying insufficient attention to the fact that inefficient contact tracing involves ethical risks too. Second, while the envisioned system does entail risks of breaches, such risks are also present in decentralised systems, which have been falsely presented as ‘privacy preserving by design’. When these points are understood, it becomes clear that we must rethink our approach to digital contact tracing in our fight against COVID-19. There are no data in this work. (shrink)

Abstract: The sinking of the RMS Titanic in 1912 remains a poignant historical event that continues to captivate our collective imagination. In this research paper, we delve into the realm of data-driven analysis by applying Artificial Neural Networks (ANNs) to predict the chances of survival for passengers aboard the Titanic. Our study leverages a comprehensive dataset encompassing passenger information, demographics, and cabin class, providing a unique opportunity to explore the complex interplay of factors influencing survival outcomes. Our ANN-based predictive model (...) achieved an accuracy rate of 78%, shedding light on the underlying patterns within the data. However, this paper underscores the multifaceted nature of survival prediction and acknowledges several challenges. These include missing data imputation, feature engineering, and the inherent noise within historical datasets. We further discuss the importance of model evaluation metrics, showcasing not only accuracy but also precision, recall, and F1-score as essential indicators of predictive performance. The research paper meticulously outlines the architecture of the ANN model, emphasizing the key hyperparameters, activation functions, and regularization techniques employed in model development. Additionally, we address ethical considerations related to data handling and potential biases within the dataset. While our achieved accuracy is a notable achievement, this study emphasizes the importance of interpreting the results with due caution. It underscores the need for a holistic perspective that considers the practical implications of false positives and false negatives, especially in the context of a disaster scenario. In conclusion, this research contributes to our understanding of survival prediction in historical events like the Titanic disaster using modern machine learning techniques. It calls for further exploration and refinement of predictive models, with a focus on enhancing the interpretability and generalizability of such models to real-world applications. (shrink)

This article discusses Sven Ove Hansson’s corpus model for the influence of values (in particular, non-epistemic ones) in the hypothesis acceptance/rejection phase of scientific inquiry. This corpus model is based on Hansson’s concepts of scientific corpus and science ‘in the large sense’. I first present Hansson’s corpus model of value influence with some introductory comments about its origins, a detailed presentation of the model with a new terminology, an analysis of its limits, and an appreciation of its handling of controversial (...) non-epistemic values. I conclude that it is a very good candidate for managing value influence, because contrary to other models in the literature it is fairly simple, it provides a universal and systematic procedure for dealing with values, and it syste- matically preserves the epistemic integrity of science. I then study some difficulties associated with the model’s central feature of taking the maximum level of evidence required by the applications of a claim in order for the latter to enter the scientific corpus: the difficulty to identify this maximum requirement; the non-optimality of this requirement with respect to other less demanding requirements; the potentially detrimental consequences of the preference for false negatives over false positives on which it relies; and the issue of whether there can nevertheless be requirements higher than this maximum. I show that these issues may potentially challenge the corpus model. Finally, I call for empirical work (in particular, an investigation of scientists’ and engineers’ own normative views) in order to better assess these issues. (shrink)

Abstract: The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, necessitating accurate and timely forecasting of cases for effective mitigation strategies. In this research paper, we present a novel approach to predict COVID-19 cases using Artificial Neural Networks (ANNs), harnessing the power of machine learning for epidemiological forecasting. Our ANNs-based forecasting model has demonstrated remarkable efficacy, achieving an impressive accuracy rate of 97.87%. This achievement underscores the potential of ANNs in providing precise and data-driven insights into the dynamics (...) of the pandemic. However, this paper underscores the critical importance of a comprehensive evaluation beyond accuracy, including metrics such as sensitivity, specificity, and the area under the ROC curve (AUC-ROC), to assess the model's performance robustness. The research paper offers detailed insights into the architecture of the ANN model, encompassing critical hyperparameters, data preprocessing techniques, and regularization strategies employed to optimize model accuracy. Ethical considerations surrounding data privacy and potential biases within the COVID-19 dataset are also addressed. While the achieved accuracy is a significant milestone, this study underscores the dynamic and evolving nature of the pandemic, necessitating continuous model refinement and validation. Furthermore, it emphasizes the importance of considering false positives and false negatives in the context of public health decision-making. In conclusion, this research contributes to the arsenal of tools available for pandemic management by showcasing the potential of ANNs in COVID-19 case forecasting. It encourages ongoing exploration and adaptation of predictive models to enhance their applicability in real-world public health scenarios, ultimately contributing to more effective pandemic control and response efforts. (shrink)

A self-fulfilling prophecy in neuroprognostication occurs when a patient in coma is predicted to have a poor outcome, and life-sustaining treatment is withdrawn on the basis of that prediction, thus directly bringing about a poor outcome for that patient. In contrast to the predominant emphasis in the bioethics literature, we look beyond the moral issues raised by the possibility that an erroneous prediction might lead to the death of a patient who otherwise would have lived. Instead, we focus on the (...) problematic epistemic consequences of neuroprognostic SFPs in settings where research and practice intersect. When this sort of SFP occurs, the problem is that physicians and researchers are never in a position to notice whether their original prognosis was correct or incorrect, since the patient dies anyway. Thus, SFPs keep us from discerning false positives from true positives, inhibiting proper assessment of novel prognostic tests. This epistemic problem of SFPs thus impedes learning, but ethical obligations of patient care make it difficult to avoid SFPs. We then show how the impediment to catching false positive indicators of poor outcome distorts research on novel techniques for neuroprognostication, allowing biases to persist in prognostic tests. We finally highlight a particular risk that a precautionary bias towards early withdrawal of life-sustaining treatment may be amplified. We conclude with guidelines about how researchers can mitigate the epistemic problems of SFPs, to achieve more responsible innovation of neuroprognostication for patients in coma. (shrink)

Built-in decision thresholds for AI diagnostics are ethically problematic, as patients may differ in their attitudes about the risk of false-positive and false-negative results, which will require that clinicians assess patient values.

Can an explanation of a set of beliefs cast doubt on the things believed? In particular, can an evolutionary explanation of religious beliefs call the contents of those beliefs into question? Yes - under certain circumstances. I distinguish between natural histories of beliefs and genealogies. A natural history of a set of beliefs is an explanation that puts them down to naturalistic causes. (I try to give an account of natural explanations which favors a certain kind of ‘methodological atheism’ without (...) begging any crucial questions against theists.) A genealogy is an explanation which somehow subverts the claims believed, usually by putting down the beliefs to unreliable causal mechanisms. Some genealogies are natural histories, such as Aquinas’s explanation of the prevalence of Islam and Gibbon’s explanation of the prevalence of Christianity. But not all genealogies are natural histories and not all natural histories are genealogies: witness the Primitive Christians’ explanation of the prevalence of Paganism which relies crucially on supernatural agencies and Hume’s explanation of our moral beliefs which defines moral truth in terms of the idealized outputs of our natural belief-forming mechanisms. However both believers and non-believers postulate a natural propensity of to devotion on the part of human beings a ‘sensus divinitatis’ which often results in false positives and is therefore unreliable. Thus the evolutionary explanation of this propensity does not add much to the skeptical case against religion. I conclude by arguing, as against Plantinga that since on his own showing our sensus divinitatis often malfunctions under optimum conditions, its unreliability constitutes a defeater for the claim that Christian beliefs are properly basic. (shrink)

Mark Coeckelbergh starts his book with a very powerful picture based on a real incident: On the 9th of January 2020, Robert Williams was wrongfully arrested by Detroit police officers in front of his two young daughters, wife and neighbors. For 18 hours the police would not disclose the grounds for his arrest (American Civil Liberties Union 2020; Hill 2020). The decision to arrest him was primarily based on a facial detection algorithm which matched Mr. Williams’ driving license photo with (...) the picture of a man who was suspected of watch theft two years earlier. Not only did the computer ‘get it wrong’ as one of the detectives said, when Mr. Williams made them aware that the picture of the suspect obviously wasn’t resembling him, the probably unreliable algorithm very likely contributed to racial discrimination (Hill 2020). It is well documented that many available facial detection algorithms at this time had significant problems (e.g. a comparably high false positive rate) with respect to black persons, like Mr. Williams (NIST 2019). Multiple causes may exist, such as unbalanced training datasets and insufficient optimization. Coeckelbergh compares the disturbing case of Mr. Williams with a political interpretation of Franz Kafka’s The Trial, where the protagonist, Josef K., is accused of an unspecified crime by an opaque, oppressive and absurd bureaucracy: “In the 21st-century United States, Josef K. is black and is falsely accused by an algorithm, without explanation” (p. 2). (shrink)

Deep self views of moral responsibility suggest that an agent fully satisfies the freedom condition for responsibility if and only if her actions or omissions issue from, and so express, her deep self. This analysis generates both false negatives and false positives regarding people's responsibility, and counterexamples proliferate. I defend a novel version of the deep self view by offering a necessary condition for accountability while retaining the core of deep self views. Indeed, an agent may be (...) blameworthy for her wrongdoing without it issuing from, and so expressing, her deep self. And yet, I argue that she must have a deep self for which she is responsible. This is achieved by paying closer attention to history than standard views have. Focusing on history then reveals a less discussed problem for standard views: the ahistorical features of them make them less equipped to explain cases of blameworthiness that is undermined. (shrink)

The lie detector test has long been treated with suspicion by the law. Recently, several authors have called this suspicion into question. They argue that the lie detector test may have considerable forensic benefits, particularly if we move past the classic, false-positive prone, autonomic nervous system-based (ANS-based) control question test, to the more reliable, brain-based, concealed information test. These authors typically rely on a “comparative advantage” argument to make their case. According to this argument, we should not be so (...) suspicious of lie detection evidence if it has comparative advantages over the epistemic methods currently utilised by the legal system. In this article, I add to this growing support by making a novel comparative advantage argument in favour of brain-based lie detection evidence. The argument focuses on the P300 concealed information test (P300 CIT), which has several unique properties, and on the effect it may have on pre-trial bargaining in criminal cases rather than in-court evidence. The thesis is that P300 CIT could allow for innocent defendants to credibly signal their innocence to investigators and prosecutors during pre-trial bargaining more effectively than current proposed methods for doing the same thing. I defend this argument from a number of objections, and suggest that it opens up an interesting avenue in the ongoing debate about the merits of this technology. Although the argument is presented with the criminal law in mind, it could form part of a more general cumulative case in favour of this technology. (shrink)

The AGI alignment problem has a bimodal distribution of outcomes with most outcomes clustering around the poles of total success and existential, catastrophic failure. Consequently, attempts to solve AGI alignment should, all else equal, prefer false negatives (ignoring research programs that would have been successful) to false positives (pursuing research programs that will unexpectedly fail). Thus, we propose adopting a policy of responding to points of philosophical and practical uncertainty associated with the alignment problem by limiting and (...) choosing necessary assumptions to reduce the risk of false positives. Herein we explore in detail two relevant points of uncertainty that AGI alignment research hinges on---meta-ethical uncertainty and uncertainty about mental phenomena---and show how to reduce false positives in response to them. (shrink)

The AGI alignment problem has a bimodal distribution of outcomes with most outcomes clustering around the poles of total success and existential, catastrophic failure. Consequently, attempts to solve AGI alignment should, all else equal, prefer false negatives (ignoring research programs that would have been successful) to false positives (pursuing research programs that will unexpectedly fail). Thus, we propose adopting a policy of responding to points of metaphysical and practical uncertainty associated with the alignment problem by limiting and (...) choosing necessary assumptions to reduce the risk false positives. Herein we explore in detail some of the relevant points of uncertainty that AGI alignment research hinges on and consider how to reduce false positives in response to them. (shrink)

Consequentialist positions in philosophy spell out normative notions by recourse to final aims. Hedonistic versions of ETHICAL consequentialism spell out what is MORALLY right/justified via recourse to the aim of increasing pleasure and decreasing pain. Veritistic versions of EPISTEMIC consequentialism spell out what is EPISTEMICALLY right/justified via recourse to the aim of increasing the number of true beliefs and decreasing the number of false ones. Even though these theories are in many respects structurally analogous, there are also interesting disanalogies. (...) For example, popular versions of epistemic consequentialism implicitly endorse the truth-indication principle (which claims that a belief is epistemically justified only if there are factors indicating that the belief itself is true), whereas popular versions of ethical consequentialism do not subscribe to an analogous pleasure-indicating principle (which claims that an act is morally justified only if there are factors indicating that performing the act itself is pleasurable). In a first step I will argue that this difference rests on the fact that plausible versions of epistemic consequentialism have to meet certain constraints, which versions of ethical consequentialism do not have to satisfy. As these constraints can be easily met by incorporating the truth-indication principle, epistemic consequentialists tend to subscribe to it. In a second step I will investigate whether the identified constraints can also be met independent from the truth-indication principle. Are there plausible versions of veritistic epistemic consequentialism that reject the principle, thereby allowing that some beliefs can be epistemically justified even though no factors speak in favor of their truth? Building on ideas put forward by Ludwig Wittgenstein, Crispin Wright, and others, I will answer this question affirmatively. (shrink)

In the last decade, many problematic cases of scientific conduct have been diagnosed; some of which involve outright fraud others are more subtle. These and similar problems can be interpreted as caused by lack of scientific objectivity. The current philosophical theories of objectivity do not provide scientists with conceptualizations that can be effectively put into practice in remedying these issues. We propose a novel way of thinking about objectivity for individual scientists; a negative and dynamic approach.We provide a philosophical conceptualization (...) of objectivity that is informed by empirical research. In particular, it is our intention to take the first steps in providing an empirically and methodologically informed inventory of factors that impair the scientific practice. The inventory will be compiled into a negative conceptualization, which could in principle be used by individual scientists to assess objectivity of scientific practice. We propose a preliminary outline of a usable and testable instrument for indicating the objectivity of scientific practice. (shrink)

We defend the thesis that every necessarily true proposition is always true. Since not every proposition that is always true is necessarily true, our thesis is at odds with theories of modality and time, such as those of Kit Fine and David Kaplan, which posit a fundamental symmetry between modal and tense operators. According to such theories, just as it is a contingent matter what is true at a given time, it is likewise a temporary matter what is true at (...) a given possible world; so a proposition that is now true at all worlds, and thus necessarily true, may yet at some past or future time be false in the actual world, and thus not always true. We reconstruct and criticize several lines of argument in favor of this picture, and then argue against the picture on the grounds that it is inconsistent with certain sorts of contingency in the structure of time. (shrink)

Stereotypes are false or misleading generalizations about groups, generally widely shared in a society, and held in a manner resistant, but not totally, to counterevidence. Stereotypes shape the stereotyper’s perception of stereotyped groups, seeing the stereotypic characteristics when they are not present, and generally homogenizing the group. The association between the group and the given characteristic involved in a stereotype often involves a cognitive investment weaker than that of belief. The cognitive distortions involved in stereotyping lead to various forms (...) of moral distortion, to which moral philosophers have paid insufficient attention. Some of these are common to all stereotypes—failing to see members of the stereotyped groups as individuals, moral distancing, failing to see subgroup diversity within the group. Other moral distortions vary with the stereotype. Some attribute a much more damaging or stigmatizing characteristic (e.g. being violent) than others (e.g. being good at basketball). But the characteristic in question must also be viewed in its wider historical and social context to appreciate its overall negative and positive dimensions. (shrink)

Epistemic deontology maintains that our beliefs and degrees of belief are open to deontic evaluations—evaluations of what we ought to believe or may not believe. Some philosophers endorse strong internalist versions of epistemic deontology on which agents can always access what determines the deontic status of their beliefs and degrees of belief. This paper articulates a new challenge for strong internalist versions of epistemic deontology. Any version of epistemic deontology must face William Alston’s argument. Alston combined a broadly voluntarist conception (...) of responsibility, on which ought implies can, with doxastic involuntarism, the position that our beliefs are not under our control. Together, those views imply that epistemic deontology is false. A promising response to Alston’s argument is to embrace a compatibilist account of control—specifically a reason-responsive version of compatibilism—and use it to criticism his doxastic involuntarism. I argue that while reason-responsive compatibilism about control does undermine Alston’s argument, it comes at a cost. Specifically, it is inconsistent with strong internalist versions of epistemic deontology. The surprising upshot is that so long as we retain a voluntarist conception of responsibility, we have reason for rejecting strong internalist versions of epistemic deontology. (shrink)

The standard position on moral perfection and gratuitous evil makes the prevention of gratuitous evil a necessary condition on moral perfection. I argue that, on any analysis of gratuitous evil we choose, the standard position on moral perfection and gratuitous evil is false. It is metaphysically impossible to prevent every gratuitously evil state of affairs in every possible world. No matter what God does—no matter how many gratuitously evil states of affairs God prevents—it is necessarily true that God coexists (...) with gratuitous evil in some world or other. Since gratuitous evil cannot be eliminated from metaphysical space, the existence of gratuitous evil presents no objection to essentially omnipotent, essentially omniscient, essentially morally perfect, and necessarily existing beings. (shrink)