Context — Children and adults with psychopathic traits and conduct or oppositional defiant disorder demonstrate poor decision making and are impaired in reversal learning. However, the neural basis of this impairment has not previously been investigated. Furthermore, despite high comorbidity of psychopathic traits and attention deficit/hyperactivity disorder, to our knowledge, no research has attempted to distinguish neural correlates of childhood psychopathic traits and attention-deficit/hyperactivity disorder. Objective—To determine the neural regions that underlie the reversal learning impairments in children with psychopathic traits (...) plus conduct or oppositional defiant disorder. Design — Case-control study. Setting — Government clinical research institute. Participants — Forty-two adolescents aged 10 to 17 years: 14 with psychopathic traits and oppositional defiant disorder or conduct disorder, 14 with attention-deficit/hyperactivity disorder only, and 14 healthy controls. Main Outcome Measure — Blood oxygenation level–dependent signal as measured via functional magnetic resonance imaging during a probabilistic reversal task. Results — Children with psychopathic traits showed abnormal responses within the ventromedial prefrontal cortex (Brodmann area 10) during punished reversal errors compared with children wit hattention deficit/hyperactivity disorder and healthy children (P < .05 corrected for multiple comparisons). Conclusions — To our knowledge, this study provides the first evidence of abnormal ventromedial prefrontal cortex responsiveness in children with psychopathic traits and demonstrates this dysfunction was not attributable to comorbid attention-deficit/hyperactivity disorder. These findings suggest that reversal learning impairments in patients with developmental psychopathic traits relate to abnormal processing of reinforcement information. (shrink)

Andy Clark and David Chalmers (1998) argue that certain mental states and processes can be partially constituted by objects located beyond one’s brain and body: this is their extended mind thesis (EM). But they maintain that consciousness relies on processing that is too high in speed and bandwidth to be realized outside the body (see Chalmers, 2008, and Clark, 2009). I evaluate Clark’s and Chalmers’ reason for denying that consciousness extends while still supporting unconscious state extension. I argue that their (...) reason is not well grounded and does not hold up against foreseeable advances in technology. I conclude that their current position needs re-evaluation. If their original parity argument works as a defence of EM, they have yet to identify a good reason why it does not also work as a defence of extended consciousness. I end by advancing a parity argument for extended consciousness and consider some possible replies. (shrink)

Technological advances are bringing new light to privacy issues and changing the reasons for why privacy is important. These advances have changed not only the kind of personal data that is available to be collected, but also how that personal data can be used by those who have access to it. We are particularly concerned with how information about personal attributes inferred from collected data (such as online behaviour), can be used to tailor messages and services to specific individuals or (...) groups. This kind of ‘personalised targeting’ has the potential to influence individuals’ perceptions, attitudes, and choices in unprecedented ways. In this paper, we argue that because it is becoming easier for companies to use collected data for influence, threats to privacy are increasingly also threats to personal autonomy—an individual’s ability to reflect on and decide freely about their values, actions, and behaviour, and to act on those choices.4 While increasing attention is directed to the ethics of how personal data is collected, we make the case that a new ethics of privacy needs to also think more rigorously about how personal data may be used, and its potential impact on personal autonomy. (shrink)

Vehicle externalism maintains that the vehicles of our mental representations can be located outside of the head, that is, they need not be instantiated by neurons located inside the brain of the cogniser. But some disagree, insisting that ‘non-derived’, or ‘original’, content is the mark of the cognitive and that only biologically instantiated representational vehicles can have non-derived content, while the contents of all extra-neural representational vehicles are derived and thus lie outside the scope of the cognitive. In this paper (...) we develop one aspect of Menary’s vehicle externalist theory of cognitive integration—the process of enculturation—to respond to this longstanding objection. We offer examples of how expert mathematicians introduce new symbols to represent new mathematical possibilities that are not yet understood, and we argue that these new symbols have genuine non-derived content, that is, content that is not dependent on an act of interpretation by a cognitive agent and that does not derive from conventional associations, as many linguistic representations do. (shrink)

The extended mind thesis maintains that while minds may be centrally located in one’s brain-and-body, they are sometimes partly constituted by tools in our environment. Critics argue that we have no reason to move from the claim that cognition is embedded in the environment to the stronger claim that cognition can be constituted by the environment. I will argue that there are normative reasons, both scientific and ethical, for preferring the extended account of the mind to the rival embedded account.

Many just war theorists (call them traditionalists) claim that just as people have a right to personal self-defense, so nations have a right to national-defense against an aggressive military invasion. David Rodin claims that the traditionalist is unable to justify most defensive wars against aggression. For most aggressive states only commit conditional aggression in that they threaten to kill or maim the citizens of the nation they are invading only if those citizens resist the occupation. Most wars, then, claimed to (...) be justified by the traditionalist fail to meet the proportionality criterion. Thus, a just war, for Rodin, is best conceived of as a punitive war of law enforcement, not as a war of national-defense. I argue that Rodin does not have a case against the traditionalist. If national-defense is a disproportionate response to conditional aggression, then punitive war is a disproportionate response as well. Furthermore, the belief that punitive war is a proportionate response to conditional aggression underscores the traditionalist’s view that self-determination, cultural identity and the like are of sufficient value to defend by means of lethal force. I end the paper by very briefly sketching an account, different from that of Rodin’s, of how individual nations can be justified in waging wars of law enforcement. (shrink)

A nation commits mitigated aggression by threatening to kill the citizens of a victim nation if and only if they do not submit to being ruled in a non-egregiously oppressive way. Such aggression primarily threatens a nation’s common way of life . According to David Rodin, a war against mitigated aggression is automatically disproportionate, as the right of lethal self-defense only extends to protecting against being killed or enslaved. Two strategies have been adopted in response to Rodin. The first strategy (...) grants that CWL is insufficiently valuable to lethally defend, however, other considerations can satisfy the proportionality requirement. I argue that this strategy is not persuasive. The second strategy argues for the sufficient value of CWL. This, however, fails to answer the forceful ‘benign dictator’ objection. I respond to this objection by grounding the proportionality of a defensive war in the value of what Phillip Pettit calls ‘anti-power’. (shrink)

There’s a widespread intuition that if the only way an innocent person can stop her villainous attacker from killing her is to kill him instead, then she is morally permitted to do so. But why is it that she is permitted to employ lethal force on an aggressor if that is what is required to save her life? My primary goal in this paper is to defend David Rodin's fairly recent and under-recognized account of self-defense that answers this question. There (...) are roughly two kinds of non-consequentialist accounts of self-defense:'forced-choice' accounts and 'rights-based' accounts. I first examine what I take to be the most plausible 'forced-choice' account of self-defense and I argue that it is unable to withstand two recent criticisms. I then proceed to adjudicate between two prominent 'rights-based' accounts of self-defense: call them the Thomson/Uniacke account and the Rodinian account. Any rights-based account of self-defense must explain how it is that X, who villainously tries to kill Y, forfeits his right to life. I argue both that Thomson/Uniacke's explanation cannot account for the clear permissibility of killing a certain kind of aggressor in self-defense, and that the attempts that could be made to account for this permissibility are either ad-hoc or permit the killing of persons that are morally on par with innocent bystanders. I point out how Thomson/Uniacke can evade the seeming difficulties that I raise by only permitting lethal defensive force against culpable aggressors. But allowing defensive force to be employed only on the culpable goes against one of their central tenets. I then discuss the Rodinian account, how it evades the criticisms I raise, as well as its other virtues. I conclude that while it has difficulties of its own, it is the more plausible one to adopt. (shrink)

Legal theorists have characterized physical evidence of brain dysfunction as a double-edged sword, wherein the very quality that reduces the defendant’s responsibility for his transgression could simultaneously increase motivations to punish him by virtue of his apparently increased dangerousness. However, empirical evidence of this pattern has been elusive, perhaps owing to a heavy reliance on singular measures that fail to distinguish between plural, often competing internal motivations for punishment. The present study employed a test of the theorized double-edge pattern using (...) a novel approach designed to separate such motivations. We asked a large sample of participants (N = 330) to render criminal sentencing judgments under varying conditions of the defendant’s mental health status (Healthy, Neurobiological Disorder, Psychological Disorder) and the disorder’s treatability (Treatable, Untreatable). As predicted, neurobiological evidence simultaneously elicited shorter prison sentences (i.e., mitigating) and longer terms of involuntary hospitalization (i.e., aggravating) than equivalent psychological evidence. However, these effects were not well explained by motivations to restore treatable defendants to health or to protect society from dangerous persons but instead by deontological motivations pertaining to the defendant’s level of deservingness and possible obligation to provide medical care. This is the first study of its kind to quantitatively demonstrate the paradoxical effect of neuroscientific trial evidence and raises implications for how such evidence is presented and evaluated. (shrink)

Traditional just war theory maintains that the two types of rules that govern justice in times of war, jus ad bellum (justice of war) and jus in bello (justice in war), are logically independent of one another. Call this the independence thesis. According to this thesis, a war that satisfies the ad bellum rules does not guarantee that the in bello rules will be satisfied; and a war that violates the ad bellum rules does not guarantee that the in bello (...) rules will be violated. A controversial implication of this is that it’s possible for soldiers to undergo acts that are instrumental in bringing about victory in an unjust war and yet do nothing morally wrong. Some authors – call them purists – claim that this cannot be correct. Participating in an unjust war is by itself morally wrong. Yitzhak Benbaji has given what is to my mind the strongest defense of the independence thesis. In this paper I critically examine Benbaji’s argument and conclude that it is not persuasive. My argument against Benbaji incorporates the concept of honor in the military. I seek to show, in part, that if the recent literature is correct concerning both the nature of honor and the importance of instilling it in soldiers, then Benbaji hasn’t given the purist a compelling reason to give up her view. (shrink)

Brian Earp’s and Julian Savulescu’s provocatively titled “Love Drugs: The Chemical Future of Relationships” is a philosophically rigorous, scientifically informed, and yet wholly accessible study o...

Helen Frowe has recently objected to Michael Tooley’s famous Moral Symmetry Principle, which is meant to show that in themselves killing and letting die are morally equivalent. I argue that her objection is not compelling but a more compelling objection is available. Specifically, Tooley’s rebuttal of a proposed counter-example to his Moral Symmetry Principle has two problematic implications. First, it undercuts the very principle itself. If we reject the proposed counter-example, then any instance of the Moral Symmetry Principle will actually (...) demonstrate the moral in-equivalence of killing and letting die. Second, it commits us to the view, which Tooley wishes to avoid, that we are just as obligated to refrain from doing wrong as we are to prevent others from doing the same. I conclude with a brief discussion of a more general concern regarding Tooley’s basic strategy. My focus here is quite narrow. My claims, if plausible, only show that the Moral Symmetry Principle is unsound and thus cannot serve as a basis for the view that killing and letting die are morally equivalent. (shrink)

In this paper, I argue that Gloria Anzaldúa’s own philosophical concept of la facultad captures a form of active, embodied, epistemic agency. I further argue that when an agent uses la facultad, they acquire a novel form of knowledge, one that is only accessible through this capacity. In Section II, I define la facultad as consisting in the active integration of conscious self-awareness, bodily experiences, motor skills, and sensory information with the rational mind to engage with and navigate the world. (...) As such, the actions we choose to are not solely determined by reasoning or mere mental states but are fundamentally shaped by the dynamic interplay between our bodies, sensory perceptions, emotions, and the situational context in which we find ourselves. In Section III, I elaborate on the epistemological contribution of la facultad. Finally, in Section IV, I conclude with some questions for further research. (shrink)

Moral judgments about an action are influenced by the action’s intentionality. The reverse is also true: judgments of intentionality can be influenced by an action’s moral valence. For example, respondents judge a harmful side-effect of an intended outcome to be more intentional than a helpful side-effect. Debate continues regarding the mechanisms underlying this “side-effect effect” and the conditions under which it will persist. The research behind this chapter tested whether the side-effect effect is intact in adolescents with psychopathic traits, who (...) are characterized by persistent immoral behavior, deficient moral emotions, and impairments in some forms of moral judgment. Results showed no differences between healthy adolescents and those with psychopathic traits: both groups judged harmful side-effects to be more intentional than helpful side-effects by an approximately 2:1 ratio. The chapter discusses these results in light of hypothesized mechanisms underlying the side-effect effect, and in light of our current understanding of moral reasoning deficits in psychopathy. (shrink)

Hume's notion of conception is closer to Reid's than Reid realizes and may lie behind Hume's charge in the letter to Hugh Blair (1762) that Reid's philosophy "leads us back to innate ideas".

I’m to push back on Hill’s (2022) criticism in four ways. First: we need some context for the debate that occurred in the pages of the Social Epistemology Review and Reply Collective that so concerns Hill. Second: getting precise with our terminology (and not working with stereotypes) is the only theoretically fruitful way to approach the problem of conspiracy theories. Third: I address Hill’s claim there is no evidence George W. Bush or Tony Blair accused their critics, during the (...) build-up the invasion of Iraq in 2003ACE, as being “conspiracy theorists.” Fourth (and finally): I will gently suggest that Hill has succumbed to a stereotypical view of work in Philosophy on conspiracy theories. (shrink)

The British government's current educational policy for England draws on E.D. Hirsch's writings on 'cultural literacy'. This paper aims to uncover the roots of Hirsch’s influential views through a genealogical critique. Hirsch admired the Scottish Enlightenment educator Hugh Blair as a model architect of a hegemonic culture to unite disparate members of a nation. Following Hirsch, the government Department for Education in England called for ‘shared appreciation of cultural reference points’ and ‘a common stock of knowledge on which all (...) can draw and trade’. Consequently, the literature curriculum in England increasingly disenfranchises a significant component of the population in terms of both gender and cultural heritage. Recent ‘culture wars’ have highlighted the legacy of colonialism and have led educators to decolonise the curriculum and prioritise social justice. Continuing racism within civil society demonstrates the need for a general recognition that cultures are desirably diverse and internally plural. (shrink)

There is no specific trans perspective on romantic love. Trans people love and do not love, fall in love and fall out of love, just like everyone else. Trans people inhabit different sexual identities, different relationship types, and different kinds of loving. When it comes to falling in love as or with a trans person, however, things can get more complicated, as questions of gender and sexual identity emerge. In a study by Blair & Hoskin from 2018, 87.5% of (...) the interviewed participants said they would not consider dating a trans person (Blair & Hoskin, 2018). Among those who were open to dating trans people, a pattern emerged: the subjects were disproportionately willing to date trans men but not trans women, even if this preference did not match their own sexual identity; for example, a woman who identifies as a lesbian may be open to dating a trans man but not a trans woman. This seems like a clash of sexual and gender identities: why are women who identify as lesbians willing to date men? This chapter aims to analyze this phenomenon: love between clashing sexual and gender identities – e.g., the love between a man, who identifies as being romantically interested in men, and a trans woman, – and thereby evaluates the limits of romantic love for trans people. Limits of love, in this chapter, are conceived of as normative restrictions on whom and how we love. By exploring cases of clashing sexual and gender identities in romantic love, this chapter analyzes how trans people’s opportunities for love are often limited. (shrink)

Emphasizing the human body in all of its forms, Beauty Unlimited expands the boundaries of what is meant by beauty both geographically and aesthetically. Peg Zeglin Brand and an international group of contributors interrogate the body and the meaning of physical beauty in this multidisciplinary volume. This striking and provocative book explores the history of bodily beautification; the physicality of socially or culturally determined choices of beautification; the interplay of gender, race, class, age, sexuality, and ethnicity within and on the (...) body; and the aesthetic meaning of the concept of beauty in an increasingly globalized world. Foreward by Carolyn Korsmeyer. Authors include Noel Carroll, Gregory Velazco Y Trianosky, Monique Roelofs, Whitney Davis, Eleanor Heartney, Diana Tietjens Meyers, Phoebe M. Farris, Mary Devereaux, Jo Ellen Jacobs, Karina L. Cespedes-Cortes and Paul C. Taylor, Fedwa Malti-Douglas, Stephen Davies, Jane Duran, Valerie Sullivan Fuchs, Keith Lehrer, Allen Douglas, Cynthia Freeland, Eva Kit Wah Man, Mary Bittner Wiseman, and Peg Brand's essay, "ORLAN Revisited: Disembodied Virtual Hybrid Beauty.". (shrink)

The book presents the first comprehensive survey of limits of the intentional control of action from an interdisciplinary perspective. It brings together leading scholars from philosophy, psychology, and the law to elucidate this theoretically and practically important topic from a variety of theoretical and disciplinary approaches. It provides reflections on conceptual foundations as well as a wealth of empirical data and will be a valuable resource for students and researchers alike. Among the authors: Clancy Blair, Todd S. Braver, Michael (...) W. Cole, Anika Fäsche, Maayan Davidov, Peter Gollwitzer, Kai Robin Grzyb, Tobias Heikamp, Gabriele Oettingen, Rachel McKinnon, Nachschon Meiran, Hans Christian Röhl, Michael Schmitz, John R. Searle, Gottfried Seebaß, Gisela Trommsdorff, Felix Thiede, J. Lukas Thürmer, Frank Wieber. (shrink)

The emerging neuroscience of psychopathy will have several important implications for our attempts to construct an ethical society. In this article we begin by describing the list of criteria by which psychopaths are diagnosed. We then review four competing neuropsychological theories of psychopathic cognition. The first of these models, Newman’s attentional model, locates the problem in a special type of attentional narrowing that psychopaths have shown in experiments. The second and third, Blair’s amygdala model and Kiehl’s paralimbic model represent (...) the psychopath’s problem as primarily emotional, including reduced tendency to experience fear in normally fearful situations, and a failure to attach the proper significance to the emotions of others. The fourth model locates the problem at a higher level: a failure of psychopaths to notice and correct for their attentional or emotional problems using “executive processes.” In normal humans, decisions are accomplished via these executive processes, which are responsible for planning actions, or inhibiting unwise actions, as well as allowing emotions to influence cognition in the proper way. We review the current state of knowledge of the executive capacities of psychopaths. We then evaluate psychopaths in light of the three major philosophical theories of ethics, utilitarianism, deontological theory, and virtue ethics. Finally, we turn to the difficulty psychopath offenders pose to criminal law, because of the way psychopathy interacts with the various justifications and functions of punishment. We conclude with a brief consideration of the effects of psychopaths on contemporary social structures. (shrink)

Alan Turing, one of the fathers of computing, warned that Artificial Intelligence (AI) could one day pose an existential risk to humanity. Today, recent advancements in the field AI have been accompanied by a renewed set of existential warnings. But what exactly constitutes an existential risk? And how exactly does AI pose such a threat? In this chapter we aim to answer these questions. In particular, we will critically explore three commonly cited reasons for thinking that AI poses an existential (...) threat to humanity: the control problem, the possibility of global disruption from an AI race dynamic, and the weaponization of AI. (shrink)

The extended mind thesis maintains that the functional contributions of tools and artefacts can become so essential for our cognition that they can be constitutive parts of our minds. In other words, our tools can be on a par with our brains: our minds and cognitive processes can literally ‘extend’ into the tools. Several extended mind theorists have argued that this ‘extended’ view of the mind offers unique insights into how we understand, assess, and treat certain cognitive conditions. In this (...) chapter we suggest that using AI extenders, i.e., tightly coupled cognitive extenders that are imbued with machine learning and other ‘artificially intelligent’ tools, presents both new ethical challenges and opportunities for mental health. We focus on several mental health conditions that can develop differently by the use of AI extenders for people with cognitive disorders and then discuss some of the related opportunities and challenges. (shrink)

In a recent article, Xiaofei Liu seeks to defend, from the standpoint of consequentialism, the Doctrine of Doing and Allowing: DDA. While there are various conceptions of DDA, Liu understands it as the view that it is more difficult to justify doing harm than allowing harm. Liu argues that a typical harm doing involves the production of one more evil and one less good than a typical harm allowing. Thus, prima facie, it takes a greater amount of good to justify (...) doing a certain harm than it does to justify allowing that same harm. In this reply, I argue that Liu fails to show, from within a consequentialist framework, that there is an asymmetry between the evils produced by doing and allowing harm. I conclude with some brief remarks on what may establish such an asymmetry. (shrink)

There is no doubt that custard apple diseases are among the important reasons that destroy the Custard Apple plant and its agricultural crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases is a good step to provide the appropriate and correct treatment. Determining the treatment with high accuracy depends on the method used to correctly diagnose the disease, expert systems can greatly help in avoiding damage to these plants. The expert system correctly diagnoses (...) Custard Apple disease to make it easier for farmers to find the right treatment based on the appropriate diagnosis. Objectives: A specialized syllable language system was established for the diagnosis of Custard Apple plant disease. (shrink)

Background: Depression (major depressive disorder) is a common and serious medical illness that negatively affects how you feel, the way you think and how you act. Fortunately, it is also treatable. Depression causes feelings of sadness and/or a loss of interest in activities once enjoyed. It can lead to a variety of emotional and physical problems and can decrease a person’s ability to function at work and at home. Depression affects an estimated one in 15 adults (6.7%) in any given (...) year. And one in six people (16.6%) will experience depression at some time in their life. Depression can strike at any time, but on average, first appears during the late teens to mid-20s. Women are more likely than men to experience depression. Some studies show that one-third of women will experience a major depressive episode in their lifetime. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment and give the appropriate method of treatment through several tips that concern the disease and how to treat it and we will see it through the application on the expert system. Methods: in this paper the design of the proposed Expert System which was produced to help Psychologist in diagnosing depression disease through its symptoms such as: a loss of energy, a change in appetite, sleeping more or less, anxiety, reduced concentration, indecisiveness, restlessness, feelings of worthlessness, guilt or hopelessness and thoughts of self-harm or suicide. The proposed expert system presents an overview about depression disease is given, the cause of diseases is outlined and the treatment of disease whenever possible is given out. SL5 Object Expert System language was used for designing and implementing the proposed expert system. Results: The proposed depression disease diagnosis expert system was evaluated by psychologist students and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for psychologist, patients with depression and newly graduated psychologist. (shrink)

The following progress report views language acquisition as primarily the attempt to create processes that connect together in a fruitful way linguistic input and other activity. The representations made of linguistic input are thus those that are optimally effective in mediating such interconnections. An effective Language Acquisition Device should contain mechanisms specific to the task of creating the desired interconnection processes in the linguistic environment in which the language learner finds himself or herself. Analysis of this requirement gives clear indications (...) as to what these mechanisms may be. (shrink)

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)

Background Men with antisocial personality disorder show lifelong abnormalities in adaptive decision making guided by the weighing up of reward and punishment information. Among men with antisocial personality disorder, modifi cation of the behaviour of those with additional diagnoses of psychopathy seems particularly resistant to punishment. Methods We did a case-control functional MRI (fMRI) study in 50 men, of whom 12 were violent off enders with antisocial personality disorder and psychopathy, 20 were violent off enders with antisocial personality disorder but (...) not psychopathy, and 18 were healthy non-off enders. We used fMRI to measure brain activation associated with the representation of punishment or reward information during an event-related probabilistic response-reversal task, assessed with standard general linear-model-based analysis. Findings Offenders with antisocial personality disorder and psychopathy displayed discrete regions of increased activation in the posterior cingulate cortex and anterior insula in response to punished errors during the task reversal phase, and decreased activation to all correct rewarded responses in the superior temporal cortex. This finding was in contrast to results for off enders without psychopathy and healthy non-off enders. Interpretation Punishment prediction error signalling in off enders with antisocial personality disorder and psychopathy was highly atypical. This finding challenges the widely held view that such men are simply characterised by diminished neural sensitivity to punishment. Instead, this fi nding indicates altered organisation of the information processing system responsible for reinforcement learning and appropriate decision making. This difference between violent offenders with antisocial personality disorder with and without psychopathy has implications for the causes of these disorders and for treatment approaches. (shrink)

Autonomy has been central to moral and political philosophy for millenia, and has been positioned as a critical aspect of both justice and wellbeing. Research in psychology supports this position, providing empirical evidence that autonomy is critical to motivation, personal growth and psychological wellness. Responsible AI will require an understanding of, and ability to effectively design for, human autonomy (rather than just machine autonomy) if it is to genuinely benefit humanity. Yet the effects on human autonomy of digital experiences are (...) neither straightforward nor consistent, and are complicated by commercial interests and tensions around compulsive overuse. This multi-layered reality requires an analysis that is itself multidimensional and that takes into account human experience at various levels of resolution. We borrow from HCI and psychological research to apply a model (“METUX”) that identifies six distinct spheres of technology experience. We demonstrate the value of the model for understanding human autonomy in a technology ethics context at multiple levels by applying it to the real-world case study of an AI-enhanced video recommender system. In the process we argue for the following three claims: 1) There are autonomy-related consequences to algorithms representing the interests of third parties, and they are not impartial and rational extensions of the self, as is often perceived; 2) Designing for autonomy is an ethical imperative critical to the future design of responsible AI; and 3) Autonomy-support must be analysed from at least six spheres of experience in order to approriately capture contradictory and downstream effects. (shrink)

Cardiovascular diseases, including heart disease, pose a significant global health challenge, contributing to a substantial burden on healthcare systems and individuals. Early detection and accurate prediction of heart disease are crucial for timely intervention and improved patient outcomes. This research explores the potential of neural networks in predicting heart disease using a dataset collected from Kaggle, consisting of 1025 samples with 14 distinct features. The study's primary objective is to develop an effective neural network model for binary classification, identifying the (...) presence or absence of heart disease. The neural network architecture includes an input layer, a hidden layer, and an output layer, designed to capture intricate relationships within the dataset. Rigorous training and validation processes, accompanied by data preprocessing steps, ensure the model's robustness and generalization capabilities. The results demonstrate promising performance, with an accuracy of 92% and an average error of 0.062. Moreover, an analysis of feature importance highlights key predictors, including "oldpeak," "thalach," "trestbps," "ca," "thal," "cp," "chol," "sex," "restecg," "age," "slope," "fbs," and "exang." This research contributes to the field of predictive healthcare by leveraging neural networks to enhance heart disease prediction. The developed model offers the potential for early identification of individuals at risk, facilitating timely medical interventions and ultimately improving public health. Further exploration of machine learning techniques in healthcare promises to reshape disease prediction and prevention strategies. (shrink)

Papaya is a tropical fruit with a green cover, yellow pulp, and a taste between mango and cantaloupe, having commercial importance because of its high nutritive and medicinal value. The process of sorting papaya fruit based on maturely is one of the processes that greatly determine the mature of papaya fruit that will be sold to consumers. The manual grading of papaya fruit based on human visual perception is time-consuming and destructive. The objective of this paper is to the status (...) classification of papaya fruits if it's mature or partially matured or unmatured. A deep learning technique that was extensively applied to image recognition was used. The trained model achieved an accuracy of 100% on a held-out test set, demonstrating the feasibility of this approach. Classification model of VGG16 achieved a 100% accuracy and 112 seconds of training time. (shrink)

Since the launch of applications such as DALL-E, Midjourney, and Stable Diffusion, generative artificial intelligence has been controversial as a tool for creating artwork. While some have presented longtermist worries about these technologies as harbingers of fully automated futures to come, more pressing is the impact of generative AI on creative labour in the present. Already, business leaders have begun replacing human artistic labour with AI-generated images. In response, the artistic community has launched a protest movement, which argues that AI (...) image generation is a kind of theft. This paper analyzes, substantiates, and critiques these arguments, concluding that AI image generators involve an unethical kind of labour theft. If correct, many other AI applications also rely upon theft. (shrink)

Many authors have proposed constraining the behaviour of intelligent systems with ‘machine ethics’ to ensure positive social outcomes from the development of such systems. This paper critically analyses the prospects for machine ethics, identifying several inherent limitations. While machine ethics may increase the probability of ethical behaviour in some situations, it cannot guarantee it due to the nature of ethics, the computational limitations of computational agents and the complexity of the world. In addition, machine ethics, even if it were to (...) be ‘solved’ at a technical level, would be insufficient to ensure positive social outcomes from intelligent systems. (shrink)

Abstract: Lotteries have long been a source of fascination and intrigue, offering the tantalizing prospect of unexpected fortunes. In this research paper, we delve into the world of lottery predictions, employing cutting-edge AI techniques to unlock the secrets of lottery outcomes. Our dataset, obtained from Kaggle, comprises historical lottery draws, and our goal is to develop predictive models that can anticipate future winning numbers. This study explores the use of deep learning and time series analysis to achieve this elusive feat. (...) Through rigorous experimentation and data-driven approaches, we seek to determine the viability of AI in the realm of lottery predictions. Our findings reveal both the promise and limitations of AI in this context, shedding light on the complexities of lottery data and the potential need for quantum computing as a last resort. (shrink)

Abstract. Every year, the number of tourists in the Chernobyl Exclusion Zone is increasing. The most numerous visitors are journalists who come to perform their official duties. At the same time, researchers have not yet shown interest in such an interesting and important tourist phenomenon. The purpose of this article is to describe a new phenomenon of media tourism in the Chernobyl Exclusion Zone and its features. The study was conducted with a help of a qualitative case study analysis method. (...) The websites of the state and private enterprises and mass media publications based on the results of trips to the territory for 2013-2017 were analyzed. As a result, the specific features of journalists who visit the Chernobyl Exclusion Zone were identified. Such journalists mainly have confidence in the absence of a threat to health (55%), developed empathy (45%) and imagination of thinking (45%). Consequently, the tragedy of history and the gloomy appearance of the territory, the suffering of local residents make it attractive to journalists. In addition, due to personal interest, the voluntary travel motive (61,5%) prevails over conditional forced travel (38,5%). At the same time, the attention of journalists to the territory is attracted due to the activities of tourists. The authors describe the so-called «compensation effect», when the reduction of tourists' attention to the territory is balanced by an increase in the attention of the mass media. The presence of risk explains the predominance of men among journalists in the Chernobyl Exclusion Zone (54%). For example, women can better assess the risk due to greater vulnerability. The peculiarity of journalists' work in the Chernobyl Exclusion Zone is the risk of radiation exposure and ethical controversy. The study shows that journalists' inherent positive world perception and profound sense of professional duty can successfully overcome these obstacles. The results of the study can be used by the following researchers to identify ways and strategies for promoting media tourism in the Chernobyl Exclusion Zone. The benefit of this study is to draw attention to a new unexplored tourist phenomenon. Mass media have a great influence on the formation of a positive attitude towards the territory and attracting the attention of tourists. Taking into account the specific features of media tourism will help to attract more tourists and improve the quality of rendering service to journalists. (shrink)

Lately in the past couple of years, there are an increasing in the normal rate of playing computer games or video games compared to the E-learning content that are introduced for the safety of our children, and the impact of the video game addictiveness that ranges from (Musculoskeletal issues, Vision problems and Obesity). Furthermore, this paper introduce an intelligent tutoring system for both parent and their children for enhancement the experience of gaming and tell us about the health problems and (...) how we can solve them, with an easy user interface that way can our children be happy and excited about the information and their health. (shrink)

Persons think. Bodies, time-slices of persons, and brains might also think. They have the necessary neural equipment. Thus, there seems to be more than one thinker in your chair. Critics assert that this is too many thinkers and that we should reject ontologies that allow more than one thinker in your chair. I argue that cases of multiple thinkers are innocuous and that there is not too much thinking. Rather, the thinking shared between, for example, persons and their bodies is (...) exactly what we should expect at the intersection of part sharing and the supervenience of the mental on the physical. I end by responding to the overcrowding objection, the personhood objection, the personal-pronoun reference problem and the epistemic objection. (shrink)

Brain tumors pose significant challenges in modern healthcare, with accurate and timely diagnosis crucial for determining appropriate treatment strategies. Artificial intelligence has made significant advancements in recent years. Rule-based expert systems (if-then rule-based systems) have emerged as a promising approach for clinical decision-making in brain tumor diagnosis. In this paper, we present "A CLIPS-Based Expert System for Brain Tumor Diagnosis," which leverages a set of 14 if-then rules to diagnose brain tumors with three possible outcomes: 1) Confirm the diagnosis of (...) a brain tumor, 2) Consider the possibility of a brain tumor that has metastasized, and 3) Consider the possibility of a brain tumor. Our expert system offers a user-friendly interface, enabling users to select symptoms and receive a diagnosis based on the provided information. This paper discusses the expert system's development, implementation, and evaluation, highlighting its potential to facilitate brain tumor diagnosis and decision-making in clinical settings. Additionally, we provide a literature review that contextualizes our expert system within the broader landscape of rule-based expert systems for brain tumor diagnosis, examining their effectiveness, limitations, and challenges. (shrink)

The cucumber is a creeping vine that roots in the ground and grows up trellises or other supporting frames, wrapping around supports with thin, spiraling tendrils. The plant may also root in a soilless medium, whereby it will sprawl along the ground in lieu of a supporting structure. The vine has large leaves that form a canopy over the fruits. Among these common diseases, we single out the diseases that affect the cucumber, which is affected by about 22 diseases, with (...) different symptoms for each disease. Today, technology is facilitating human life in all areas of life, and among these facilities are expert systems that have become an integral part of human life as they contain several systems and areas, for example: Artificial Intelligence (AI), which refers to systems or devices that simulate Human intelligence to perform tasks that can improve itself based on some human information, and other areas, and with reference to expert systems and their importance to humans, an integrated expert system has been created in the agricultural field that diagnoses cucumber diseases using CLIPS Expert System language Delphi language. The system was used to design and implement the proposed expert system. The system facilitates the diagnosis of cucumber-related diseases. There is no doubt that this expert system will help farmers and those involved in the agricultural field to diagnose cucumber-related diseases. Objectives: is to help farmers diagnose pear diseases in the correct way and how to treat these diseases. Method: The system contains a program that diagnoses 22 diseases that affect cucumber. Results: The expert system was evaluated by farmers and praised for helping them with it. Conclusion: The expert system for diagnosing cucumber diseases is effective and usable. (shrink)

Water quality assessment is critical for environmental sustainability and public health. This research employs neural networks to predict water quality, utilizing a dataset of 21 diverse features, including metals, chemicals, and biological indicators. With 8000 samples, our neural network model, consisting of four layers, achieved an impressive 94.22% accuracy with an average error of 0.031. Feature importance analysis revealed arsenic, perchlorate, cadmium, and others as pivotal factors in water quality prediction. This study offers a valuable contribution to enhancing water quality (...) monitoring and decision-making for stakeholders and policymakers. (shrink)

Vertigo is a common symptom that can result from various underlying diseases and conditions, ranging from benign to severe. Accurate and timely diagnosis of the cause of vertigo is crucial for appropriate management and treatment. In this research, we propose the development of an expert system for vertigo diseases diagnosis, utilizing artificial intelligence (AI) and the proposed Expert System which was produced to help assist healthcare professionals in diagnosing the cause of vertigo based on a patient's symptoms, medical history, and (...) other relevant clinical information. The proposed expert system presents an overview about vertigo diseases are given, the cause of disease is outlined and the treatment or recommendation of disease whenever possible is given out. CLIPS language was used for designing and implementing the proposed expert system. The potential of the proposed expert system lies in its ability to enhance the accuracy and efficiency of vertigo diagnosis, as well as assist in the proper referral and management of patients. (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)

In this paper we show how a student can learn the basics of the system databases using (W3school CSS) which was built as intelligent tutoring educational system by using the authoring tool called (ITSB). The learning material contains CSS and HTML. We divided the material in a group of lessons for novice learner which combines relational system and lessons in the process of learning. The student can learn using example of CSS, and types of CSS color. Furthermore, the intelligent tutoring (...) system supports not only lessons; but exercises of different difficult levels for each lesson. When a student finish successfully the first difficulty level in a lesson, the student is allowed to move to the next difficulty level of the exercises of the lesson. (shrink)

Abstract: This research focuses on utilizing Artificial Neural Networks (ANNs) to predict Audit Risk accurately, a critical aspect of ensuring financial system integrity and preventing fraud. Our dataset, gathered from Kaggle, comprises 18 diverse features, including financial and historical parameters, offering a comprehensive view of audit-related factors. These features encompass 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' 'History_score,' 'score,' and 'Risk,' with a total of 774 samples. Our proposed neural network architecture, consisting of three (...) layers (1 input, 1 hidden, and 1 output), forms the core of this study. While it may seem simple, the power of ANNs lies not in complexity but in their ability to uncover intricate data patterns. The model underwent rigorous training and validation, resulting in remarkable outcomes—an accuracy of 100% and an average error rate of 0.000015. In addition to performance metrics, our research investigates feature importance, revealing the key contributors to Audit Risk prediction. Notably, 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' and 'History_score' emerged as the most influential factors, shedding light on the elements crucial for precise risk assessment. This study advances Audit Risk prediction models and highlights the potential of ANNs in strengthening financial system integrity and fraud prevention. The insights gained from our findings offer practical guidance for stakeholders in the audit and financial sectors. (shrink)

The research aims to identify the learning organizations and their role in achieving organizational excellence in the Palestinian universities in Gaza Strip. The researchers used descriptive analytical approach and used the questionnaire as a tool for information gathering. The questionnaires were distributed to senior management in the Palestinian universities. The study population reached (344) employees in senior management is dispersed over (3) Palestinian universities. A stratified random sample of (182) workers from the Palestinian universities was selected and the recovery rate (...) was (69.2%). Statistical analysis (SPSS) program was used for analysis and processing the data. The research found the following results: there is a fair degree of approval on "cognitive dimension", there is a high approval about the importance of "organizational dimension", there is moderately consent of the importance of "Community dimension", there is a large degree of consent about the importance of axis of the "leadership excellence", there is a large degree of consent about the importance of axis of the "service-excellence", there is a fair degree approval about the importance of the axis of "cognitive excellence", and there is a moderately consent of the importance of "Organizational Excellence". The research found a group of recommendations including: the need to develop appropriate strategies for the University, employ modern technology in information systems, in addition to provide appropriate environment that achieve learning organizations, develop technological infrastructure, adopt universities for knowledge management in the academic and administrative departments because knowledge is the core of the work of these departments, create technological incubators in universities to adopt excellence academic research projects, and protected them, support them, and market them. Establishing of centers of excellence for scientific research in the university.The need for cooperation and coordination between local, Arab and international universities for the exchange of knowledge, information, and participation programs and training courses, as it provides an opportunity to develop the capabilities and skills of personnel and expertise. (shrink)

We need modal imagination in order to extend our conception of reality - and, in particular, of human beings - beyond our immediate experience in the indexical present; and we need to do this in order to preserve the significance of human interaction. To make this leap of imagination successfully is to achieve not only insight but also an impartial perspective on our own and others' inner states. This perspective is a necessary condition of experiencing compassion for others. This is (...) the primary thesis I will try to defend in this discussion. (shrink)