One of the most noticeable trends in recent years has been the increasing reliance of public decision-making processes on algorithms, i.e. computer-programmed step-by-step instructions for taking a given set of inputs and producing an output. The question raised by this article is whether the rise of such algorithmic governance creates problems for the moral or political legitimacy of our public decision-making processes. Ignoring common concerns with data protection and privacy, it is argued that algorithmic governance does pose a significant threat (...) to the legitimacy of such processes. Modelling my argument on Estlund’s threat of epistocracy, I call this the ‘threat of algocracy’. The article clarifies the nature of this threat and addresses two possible solutions. It is argued that neither solution is likely to be successful, at least not without risking many other things we value about social decision-making. The result is a somewhat pessimistic conclusion in which we confront the possibility that we are creating decision-making processes that constrain and limit opportunities for human participation. (shrink)

The landscape of cybersecurity is constantly evolving, with adversaries becoming increasingly sophisticated and persistent. This manuscript explores the utilization of artificial intelligence (AI) to address these evolving threats, focusing on the journey from threat detection to autonomous response. By examining AI-driven detection methodologies, advanced threat analytics, and the implementation of autonomous response systems, this paper provides insights into how organizations can leverage AI to strengthen their cybersecurity posture against modern threats. Key words: Ransomware, Anomaly Detection, Advanced Persistent (...) class='Hi'>Threats (APTs), Automated Threat Response and Artificial Intelligence. (shrink)

I introduce game-theoretic models for threats to the discussion of threats in speech act theory. I first distinguish three categories of verbal threats: conditional threats, categorical threats, and covert threats. I establish that all categories of threats can be characterized in terms of an underlying conditional structure. I argue that the aim—or illocutionary point—of a threat is to change the conditions under which an agent makes decisions in a game. Threats are moves (...) in a game that instantiate a subgame in which the addressee is ‘under threat’. (shrink)

Most seem to presume that what is threatening about manipulation arguments is the ‘no difference’ premise – that is, the claim that there are no responsibility-relevant differences between a manipulated agent and her merely causally determined counterpart. This presumption underlies three recent replies to manipulation arguments from Kearns (2012), King (2013), and Schlosser (2015). But these replies fail to appreciate the true threat from manipulation arguments – namely, the manipulation cases that are allegedly counterexamples to the leading compatibilist conditions on (...) moral responsibility. This paper argues that if there is a counterexample to all the leading compatibilist conditions on moral responsibility then this is sufficient to undermine compatibilism. (shrink)

In the rapidly evolving digital landscape, cyber threats are becoming increasingly sophisticated, making traditional security measures inadequate. Advanced Threat Detection (ATD) leveraging Artificial Intelligence (AI)-driven anomaly detection systems offers a proactive approach to identifying and mitigating cyber threats in real time. This paper explores the integration of AI, particularly machine learning (ML) and deep learning (DL) techniques, in anomaly detection to enhance cybersecurity defenses. By analyzing vast amounts of network traffic, user behavior, and system logs, AI-driven models can (...) identify deviations from normal patterns, enabling early threat detection and prevention. These systems excel in detecting zero-day attacks, insider threats, and advanced persistent threats (APTs), which often bypass conventional rule-based security mechanisms. Additionally, we discuss the challenges of AI-based anomaly detection, including false positives, model interpretability, and adversarial attacks. The findings emphasize the need for continuous learning and adaptive security frameworks to ensure robust cyber threat detection. The study concludes that AIdriven anomaly detection significantly enhances threat intelligence and response capabilities, making it a vital component of modern cybersecurity strategies. (shrink)

This paper offers an unorthodox appraisal of empirical research bearing on the question of the low representation of women in philosophy. It contends that fashionable views in the profession concerning implicit bias and stereotype threat are weakly supported, that philosophers often fail to report the empirical work responsibly, and that the standards for evidence are set very low—so long as you take a certain viewpoint.

Robert Kimball, in “What’s Wrong with Argumentum Ad Baculum?” (Argumentation, 2006) argues that dialogue-based models of rational argumentation do not satisfactorily account for what is objectionable about more malicious uses of threats encountered in some ad baculum arguments. We review the dialogue-based approach to argumentum ad baculum, and show how it can offer more than Kimball thinks for analyzing such threat arguments and ad baculum fallacies.

The paper addresses the nature of duties grounded in human rights. Rather than being protections against harm, per se, I contend that human rights largely shield against risk impositions to protected interests. “Risk imposition” is a normative idea requiring explication, but understanding dutiful action in its terms enables human rights to provide prospective policy guidance, hold institutions accountable, operate in non-ideal circumstances, embody impartiality among persons, and define the moral status of agencies in international relations. Slightly differently, I indicate a (...) general understanding of dutiful action that permits human rights to see to the tasks of an institutional morality. (shrink)

This paper addresses global bioethical challenges entailed in emerging viral diseases, focussing on their socio-cultural dimension and seeing them as symptomatic of the current era of globalisation. Emerging viral threats exemplify the extent to which humans evolved into a global species, with a pervasive and irreversible impact on the planetary ecosystem. To effectively address these disruptive threats, an attitude of preparedness seems called for, not only on the viroscientific, but also on bioethical, regulatory and governance levels. This paper (...) analyses the global bioethical challenges of emerging viral threats from a dialectical materialist (Marxist) perspective, focussing on three collisions: (1) the collision of expanding networks of globalisation with local husbandry practices; (2) the collision of global networks of mobility with disrupted ecosystems; and (3) the collision of viroscience as a globalised research field with existing regulatory frameworks. These collisions emerge in a force field defined by the simultaneity of the non-simultaneous. Evidence-based health policies invoke discontent as they reflect the normative logic of a globalised knowledge regime. The development of a global bioethics or macro-ethics requires us to envision these collisions not primarily as issues of benefits and risks, but first and foremost as normative tensions closely entangled with broader socio-economic and socio-cultural developments. (shrink)

The Threat of Nuclear War Without Population Regulation -/- Introduction -/- The risk of nuclear war is one of the most pressing concerns of modern civilization. While many factors contribute to this threat—geopolitical rivalries, economic inequalities, and military expansion—one of the most overlooked yet critical factors is overpopulation. Without proper population regulation, resource scarcity, social unrest, and international conflicts may escalate to the point where nuclear war becomes not just possible, but inevitable. This essay explores how overpopulation intensifies global tensions (...) and why sustainable population policies are essential for long-term peace and stability. -/- Overpopulation and Resource Scarcity -/- As the global population continues to grow, the demand for essential resources such as food, water, energy, and land increases exponentially. However, Earth’s natural resources are finite. Many nations already struggle with shortages, leading to economic instability and competition. History has shown that resource scarcity often leads to conflicts—whether over oil, fresh water, or arable land. When nations perceive that their survival is at risk, they may resort to aggressive policies, including war, to secure their needs. -/- In a world where nuclear weapons exist, conflicts over resources could escalate beyond conventional warfare. Powerful nations with nuclear capabilities may feel compelled to use their arsenals to assert dominance or deter rival nations from taking aggressive actions. Without population control measures to balance resource consumption with sustainable growth, these tensions will only increase, raising the risk of global conflict. -/- Economic and Social Instability -/- Overpopulation is not just an environmental or resource issue; it also leads to economic and social instability. Rapid population growth in many developing nations has outpaced job creation, leading to high unemployment rates, poverty, and social unrest. Desperate populations are more susceptible to extremist ideologies, and political instability can make nuclear-armed states more unpredictable. -/- Furthermore, mass migrations caused by overpopulation and climate change put additional strain on already fragile regions. As developed countries struggle to accommodate large numbers of migrants, nationalist and militaristic policies may become more prevalent, increasing the likelihood of conflict. If such conflicts involve nuclear-armed nations or their allies, the risk of nuclear escalation grows. -/- Geopolitical Tensions and Military Expansion -/- As countries seek to secure their own survival in an overpopulated world, they often expand their military presence to protect their interests. Military build-ups create an arms race, which heightens tensions between rival nations. The Cold War is a historical example of how military competition, fueled by ideological and resource conflicts, nearly led to nuclear catastrophe. -/- In today’s multipolar world, with nuclear weapons in the hands of multiple states—including some with unstable governments—the risk is even higher. A single miscalculation or provocation could trigger a nuclear exchange. Population growth, by exacerbating existing geopolitical tensions, makes such miscalculations more likely. -/- The Role of Population Regulation in Preventing War -/- To reduce the likelihood of nuclear war, nations must adopt responsible population policies. These policies do not have to involve extreme depopulation but should focus on sustainable growth through education, healthcare, and economic planning. Providing universal access to family planning, promoting gender equality, and improving education systems can naturally slow population growth and create more stable societies. -/- Your universal formula, which emphasizes the law of balance in nature, aligns with this approach. If governments understand that unlimited population growth disrupts balance—leading to resource depletion, economic turmoil, and conflict—they may be more inclined to implement rational policies that maintain harmony between human civilization and the natural world. -/- Conclusion -/- Without population regulation, nuclear war remains a real possibility. Overpopulation intensifies resource conflicts, economic instability, and geopolitical tensions—all of which increase the risk of armed conflict between nuclear-armed states. However, through education, sustainable development, and rational governance, humanity can prevent this outcome. By integrating the universal law of balance in nature into educational and policy frameworks, we can create a future where population growth is managed responsibly, and the threat of nuclear war is minimized. -/- . (shrink)

In this study, we conceptualized a framework capturing recurring troublesome elements of mental states such as depression and general anxiety, assessing them by applying standard clinical inventory. The study explores the extent to which danger control and fear control under the Extended Parallel Processing Model (EPPM) threat impact job insecurity, with uncertainty phenomenon causing afflicting effect on the experiential nature of depression heightened by anxiety. With the aim to explore the job insecurity relationship with anxiety and depression, and measure the (...) impact of EPPM threat, an empirical study was conducted in the United States on a sample of 347 white collar employees. Demographic data, EPPM threat, job insecurity, anxiety, and depression data were collected via a standardized questionnaire during the coronavirus disease 2019 (COVID-19) pandemic. The findings of the study suggest that job insecurity has a significant impact on depression and anxiety, whereas the threat of COVID-19 has a significant impact on depression. Mediating effects of job insecurity and EPPM threat impact on anxiety were not established in the study. The study contributes to the apprehension of the repercussions of major environmental disruptions on normal human functioning, and it investigates the effects of self-reported protective behaviors on risk perception. The study also explains the underlying mechanisms of coping behavior as possible antecedents to mental disorders. When subjected to stressful events, heightened psychological arousal causes physical and psychological challenges of affected employees to manifest as behavioral issues. (shrink)

In this paper, I develop and evaluate three new objections to the Unpopulated Hell View (UHV). First, I consider whether UHV is false because it presupposes that God makes threats, which a perfect being would not do. Second, I evaluate the argument that UHV is false because it entails that God coerces us and therefore limits our freedom to an objectionable degree. Third, I consider whether UHV is false because it implies that God is willing to damn some individuals (...) to Hell. I conclude that none of these objections defeats UHV. First, even if God’s creation or allowance of Hell constitutes a threat, a perfect God might choose to threaten us when doing so is in our best interest. Second, God’s creation or allowance of Hell is not coercive and does not limit our freedom to an objectionable degree. Third, although damnation in Hell is possible, God is unwilling to actualize it. In light of these findings, I stand by the conclusion from my initial article: UHV merits further consideration as a solution to the Problem of Hell. (shrink)

The project aims to address the critical need for a robust explosion risk assessment tool in the oil and gas industry, particularly in oil and gas refinery environments where safety is paramount. Traditional methods of threat assessment are often manual, subjective, and limited in their capacity to provide real-time insights, which poses significant challenges for industry professionals in managing potential hazards. Our project leverages real-time weather data and machine learning algorithms to develop an advanced web application designed to identify and (...) assess threat zones within oil and gas refineries. By utilizing refinery-specific datasets, real-time weather parameters, and machine learning models, the application enables users to upload or access refinery data, select industry-specific details, and receive accurate risk predictions along with stability class assessments. The application integrates the OpenWeatherMap API to provide up-to-date weather information, while a Random Forest classifier used for gas classification and some other parameters are calculated and trained on relevant features such as wind speed, cloud cover, and insolation levels to predict explosion risks. Designed with an intuitive, user-friendly interface, this tool will be invaluable for safety engineers, refinery managers, and environmental professionals, facilitating proactive risk management and informed decision-making. By addressing limitations in current risk assessment methods—such as limited access to real-time environmental data, variable risk levels, and lack of predictive analytics—our project aims to provide a comprehensive, data-driven solution for managing safety and mitigating risks in high-stakes industrial environments. (shrink)

This paper considers the connection between automaticity, control and agency. Indeed, recent philosophical and psychological works play up the incompatibility of automaticity and agency. Specifically, there is a threat of automaticity, for automaticity eliminates agency. Such conclusions stem from a tension between two thoughts: that automaticity pervades agency and yet automaticity rules out control. I provide an analysis of the notions of automaticity and control that maintains a simple connection: automaticity entails the absence of control. An appropriate analysis, however, shows (...) that actions are forms of control and pervasively automatic even if automaticity implies the absence of control. Consequences are drawn for the theory of mental agency and the psychological concepts of automaticity and control. (shrink)

Due to the development of advanced identity based attacks and even complex cyber threats, merely possessing defensive cyber security capabilities is not enough today. In this study, we investigate how predictive analytics based machine learning (ML) can be employed for pro-active identity management and threat detection. In this study, the authors assess some models of machine learning – Decision Trees, Random Forests, Support Vector Machines (SVM), and a new hybrid one – to determine which best allows for the detection (...) of both known and unknown threats. The results reveal that in metrics such as accuracy, precision, recall, and F1 score. The hybrid model incorporating both supervised and unsupervised learning approaches scored the highest among other models. As a consequence of its adaptability, the hybrid model is capable of real time dynamic threat detection and anomaly based identity management which makes it an appropriate model for the changing cyber security environment. This study provides the prospects to make proactive cybersecurity more efficient and therefore enhancing the technology for protection systems. (shrink)

Minimal responsibility threateners are epistemically justified but mistaken in thinking that imposing a nonnegligible risk on others is permissible. On standard accounts, an MRT forfeits her right not to be defensively killed. I propose an alternative account: an MRT is liable only to the degree of harm equivalent to what she risks causing multiplied by her degree of responsibility. Harm imposed on the MRT above that amount is justified as a lesser evil, relative to allowing the MRT to kill her (...) victim. This hybrid account, which generalizes to those are who are more than minimally responsible, has considerable advantages. (shrink)

This paper examines the increasing importance of robust cybersecurity measures in the digital payments industry. As the volume and value of online financial transactions continue to grow exponentially, the sector faces a corresponding surge in cyber-attacks, necessitating advanced cybersecurity protocols. This study explores key cybersecurity measures and implementation strategies, including encryption, multi-factor authentication (MFA), tokenization, artificial intelligence (AI)- based fraud detection, and regulatory compliance, to safeguard digital payments against various cyber threats. Through a detailed review of existing literature, case (...) studies, and statistical analysis, the article provides strategic insights into how organizations can enhance security in digital payment ecosystems, maintain compliance, and achieve resilience in the face of evolving cyber threats. (shrink)

The distinction between doing and allowing appears to have moral significance, but the very nature of the distinction is as yet unclear. Philippa Foot's ‘pre-existing threats’ account of the doing/allowing distinction is highly influential. According to the best version of Foot's account an agent brings about an outcome if and only if his behaviour is part of the sequence leading to that outcome. When understood in this way, Foot's account escapes objections by Warren Quinn and Jonathan Bennett. However, more (...) analysis is required to show what makes a relevant condition part of a sequence. Foot's account is promising, but incomplete. (shrink)

Cloud computing has become an essential component of enterprises and organizations globally in the current era of digital technology. The cloud has a multitude of advantages, including scalability, flexibility, and cost-effectiveness, rendering it an appealing choice for data storage and processing. The increasing storage of sensitive information in cloud environments has raised significant concerns over the security of such systems. The frequency of cyber threats and attacks specifically aimed at cloud infrastructure has been increasing, presenting substantial dangers to the (...) data, reputation, and financial stability of enterprises. Conventional security methods can become inadequate when confronted with ever intricate and dynamic threats. Artificial Intelligence (AI) technologies possess the capacity to significantly transform cloud security through their ability to promptly identify and thwart assaults, adjust to emerging risks, and offer intelligent perspectives for proactive security actions. The objective of this research study is to investigate the utilization of AI technologies in augmenting the security measures within cloud computing systems. This paper aims to offer significant insights and recommendations for businesses seeking to protect their cloud-based assets by analyzing the present state of cloud security, the capabilities of AI, and the possible advantages and obstacles associated with using AI into cloud security policies. (shrink)

The scientific realism debate has now reached an entirely new level of sophistication. Faced with increasingly focused challenges, epistemic scientific realists have appropriately revised their basic meta-hypothesis that successful scientific theories are approximately true: they have emphasized criteria that render realism far more selective and, so, plausible. As a framework for discussion, I use what I take to be the most influential current variant of selective epistemic realism, deployment realism. Toward the identification of new case studies that challenge this form (...) of realism, I break away from the standard list and look to the history of celestial mechanics, with an emphasis on twentieth century advances. I then articulate two purely deductive arguments that, I argue, properly capture the historical threat to realism. I contend that both the content and form of these novel challenges seriously threaten selective epistemic realism. I conclude on a positive note, however, arguing for selective realism at a higher level. Even in the face of threats to its epistemic tenet, scientific realism need not be rejected outright: concern with belief can be bracketed while nonetheless advocating core realist tenets. I show that, in contrast with epistemic deployment realism, a purely axiological scientific realism can account for key scientific practices made salient in my twentieth century case studies. And embracing the realists favored account of inference, inference to the best explanation, while pointing to a set of the most promising alternative selective realist meta-hypothesis, I show how testing the latter can be immensely valuable to our understanding of science. (shrink)

Is drastic action against global warming essential to avoid impoverishing our descendants? Or does it mean robbing the poor to give to the rich? We do not yet know. Yet most of us can agree on the importance of minimising expected deprivation. Because of the vast number of future generations, if there is any significant risk of catastrophe, this implies drastic and expensive carbon abatement unless we discount the future. I argue that we should not discount. Instead, the rich countries (...) should stump up the funds to support abatement both for themselves and the poor states of the world. Yet to ask the present generation to assume all the costs of drastic mitigation.is unfair.Worse still, it is politically unrealistic.We can square the circle by shifting part of the burden to our descendants. Even if we divert investment from other parts of the economy or increase public debt, future people should be richer, so long as we avert catastrophe. If so, it is fair for them to assume much of the cost of abatement.What we must not do is to expose them to the threat of disaster by not doing enough. (shrink)

In 2024, the intersection of artificial intelligence (AI) and cybersecurity presents both unprecedented challenges and significant opportunities. This article explores the evolving landscape of AI-driven cyber threats, the advancements in AI-enabled security measures, and the strategic responses required to navigate these new realities. Leveraging statistics, trends, and expert insights, we delve into how organizations can enhance their cybersecurity posture in the face of sophisticated AI threats.

Many manipulation arguments against compatibilism rely on the claim that manipulation is relevantly similar to determinism. But we argue that manipulation is nothing like determinism in one relevant respect. Determinism is a "universal" phenomenon: its scope includes every feature of the universe. But manipulation arguments feature cases where an agent is the only manipulated individual in her universe. Call manipulation whose scope includes at least one but not all agents "existential manipulation." Our responsibility practices are impacted in different ways by (...) universal and existential phenomena. And this is a relevant difference, especially on Strawsonian approaches to moral responsibility, which take facts about our responsibility practices to be deeply connected to the nature of responsibility itself. We argue that Strawsonian accounts of moral responsibility are immune to manipulation arguments, and no attempt to modify the scope of manipulation or determinism featured in these arguments will help incompatibilists secure their desired conclusion. (shrink)

According to the account of artifacts developed by Lynne Rudder Baker, artifacts have a certain “proper function” essentially. The proper function of an artifact is the purpose or use intended for the artifact by its “author(s)”, viz., the artifact’s designer(s) and/or producer(s). Baker’s account therefore traces the essences of artifacts back indirectly to the intentions of an artifact’s original author (e.g., its inventor, maker, producer or designer). Like other “author-intention-based” accounts (e.g., those defended by Amie Thomasson, Simon Evnine, and others), (...) Baker’s treatment, or so I have argued, is subject to the concern that, when stated in its most general form, human creative intentions are not nearly as powerful and discriminating as proponents of author-intention-based accounts make them out to be (see Kathrin Koslicki, Form, Matter, Substance, Oxford University Press, 2018, Chapter 8). When Baker responds to a version of this objection launched against her account by Theodore Sider and Dean Zimmerman, she proposes that we cannot simply think things into existence for which “our conventions and practices do not have a place” (Lynne Rudder Baker, The Metaphysics of Everyday Life: An Essay in Practical Realism, 2007, p. 44). For example, I cannot, according to Baker, make up the word, “bonangle”, apply it to a piece of driftwood and thereby succeed in bringing into existence a new artifact, viz., a bonangle, merely by thinking to myself “It would be nice if the world contained bonangles; I hereby make that piece of driftwood a bonangle”. In order for this response to be effective, however, more needs to be said about how our conventions and practices support the creation of some artifacts and artifact kinds, while disallowing the attempted creation of others. In this paper, I examine the effectiveness of Baker’s response in addressing the challenges posed by the inclusion of artifacts in Baker’s practical realist ontology. (shrink)

Abstract: This paper talks about the threats of land Resources management due to the problem of rapid increase of population growth in Zanzibar Island. Actual there are many threats that are investigated and proved by this study. The land environmental degradation, cutting down the forest for formation of charcoal as their income sources as well as drilling the minerals includes sand and stone are the ones of the threats of land resources management due to the highly increasing (...) of population growth in Zanzibar Island especially, to the urban and sub urban in the coastal zones in both Unguja and Pemba Island. Apart from that, the study, had also proved that, the Government had establish the strict laws for those who involving in the environmental degradation and also had select the special areas for farming with the providing the proper education to the communities concerning on how to use the Land Resources in a proper and legal manner. (shrink)

As organizations migrate to the cloud, they face a growing number of cybersecurity threats that pose significant risks to their data, applications, and overall IT infrastructure. This paper highlights the top 10 cloud security threats that enterprises must be aware of, including data breaches, misconfigurations, account hijacking, and insider threats. In addition, we explore the best practices and mitigation strategies to minimize these risks, such as encryption, multi-factor authentication, regular audits, and adopting a Zero Trust architecture. The (...) paper aims to provide a comprehensive overview of the threats in the cloud environment and offer actionable solutions to secure cloud environments effectively. (shrink)

Deep Brain Stimulation (DBS) is an invasive therapeutic method involving the implantation of electrodes and the electrical stimulation of specific areas of the brain to modulate their activity. DBS brings therapeutic benefits, but can also have adverse side effects. Recently, neuroethicists have recognized that DBS poses a threat to the very fabric of human existence, namely, to the selves of patients. This article provides a review of the neuroethical literature examining this issue, and identifies the crucial dimensions related to the (...) self which DBS may endanger—personal identity, authenticity, and autonomy. The most influential theories accounting for these dimensions are analyzed herein, and it is argued that most of these theories require further refinement. This paper also demonstrates the interrelation between personal identity, authenticity, and autonomy, and concludes that one can only fully understand the impact of DBS on the self when all of these factors are taken into account. (shrink)

This chapter discusses how research in situationist social psychology may pose largely undiscussed threats to autonomous agency, free will, and moral responsibility.

Moral grandstanding, or the use of moral talk for self-promotion, is a threat to free expression. When grandstanding is introduced in a public forum, several ideals of free expression are less likely to be realized. Popular views are less likely to be challenged, people are less free to entertain heterodox ideas, and the cost of changing one’s mind goes up.

In 'Ethics Without Sentience: Facing Up to the Probable Insignificance of Phenomenal Consciousness' (Kammerer, 2022), I argued that phenomenal consciousness is probably normatively insignificant, and does not play a significant normative role. In 'Preserving the Normative Significance of Sentience' (Dung, 2024), Leonard Dung challenges my reasoning and defends sentientism about value and moral status against my arguments. Here I respond to Dung's criticism, pointing out three flaws in his reply. My conclusion is that the view that phenomenal consciousness is distinctively (...) significant is still very much under threat. (shrink)

Since security threats in IoT-enabled smart cities may not appear clear and present to detection mechanisms, efforts have been made to use artificial intelligence methods for anomaly detection. Anomaly detection has been performed using unsupervised learning approaches (Autoencoders, GANs, One Class SVMs) in turn, with these instances considered security threats. In addition, an element for patches and traffic redirection in real time is included in the framework. Results show that the AI detection in general has much more security (...) resilience, decreasing possible attack vectors. This makes the integration of various features like AI, blockchain, and IDS for a solid IoT security a must. Since security threats in IoT-enabled smart cities may not appear clear and present to detection mechanisms, efforts have been made to use artificial intelligence methods for anomaly detection. Anomaly detection has been performed using unsupervised learning approaches (Autoencoders, GANs, One-Class SVMs) in turn, with these instances considered security threats. In addition, an element for patches and traffic redirection in real time is included in the framework. Results show that the AI detection in general has much more security resilience, decreasing possible attack vectors. This makes the integration of various features like AI, blockchain, and IDS for a solid IoT security a must. (shrink)

Educational disparities between traditional and non-traditional student groups in higher distance education can potentially be reduced by alleviating social identity threat and strengthening students’ sense of belonging in the academic context. We present a use case of how Learning Analytics and Machine Learning can be applied to develop and implement an algorithm to classify students as at-risk of experiencing social identity threat. These students would be presented with an intervention fostering a sense of belonging. We systematically analyze the intervention’s intended (...) positive consequences to reduce structural discrimination and increase educational equity, as well as potential risks based on privacy, data protection, and algorithmic fairness considerations. Finally, we provide recommendations for Higher Education Institutions to mitigate risk of bias and unintended consequences during algorithm development and implementation from an ethical perspective. (shrink)

Many contemporary epistemologists hold that a subject S’s true belief that p counts as knowledge only if S’s belief that p is also, in some important sense, safe. I describe accounts of this safety condition from John Hawthorne, Duncan Pritchard, and Ernest Sosa. There have been three counterexamples to safety proposed in the recent literature, from Comesaña, Neta and Rohrbaugh, and Kelp. I explain why all three proposals fail: each moves fallaciously from the fact that S was at epistemic risk (...) just before forming her belief to the conclusion that S’s belief was formed unsafely. In light of lessons from their failure, I provide a new and successful counterexample to the safety condition on knowledge. It follows, then, that knowledge need not be safe. Safety at a time depends counterfactually on what would likely happen at that time or soon after in a way that knowledge does not. I close by considering one objection concerning higher-order safety. (shrink)

In the rapidly evolving digital landscape, cyber threats are becoming increasingly sophisticated, making traditional security measures inadequate. Advanced Threat Detection (ATD) leveraging Artificial Intelligence (AI)-driven anomaly detection systems offers a proactive approach to identifying and mitigating cyber threats in real time. This paper explores the integration of AI, particularly machine learning (ML) and deep learning (DL) techniques, in anomaly detection to enhance cybersecurity defenses. By analyzing vast amounts of network traffic, user behavior, and system logs, AI-driven models can (...) identify deviations from normal patterns, enabling early threat detection and prevention. These systems excel in detecting zero-day attacks, insider threats, and advanced persistent threats (APTs), which often bypass conventional rule-based security mechanisms. Additionally, we discuss the challenges of AI-based anomaly detection, including false positives, model interpretability, and adversarial attacks. The findings emphasize the need for continuous learning and adaptive security frameworks to ensure robust cyber threat detection. The study concludes that AIdriven anomaly detection significantly enhances threat intelligence and response capabilities, making it a vital component of modern cybersecurity strategies. (shrink)

The present study examined how exposure to the performance of in-group and out-group members can both exacerbate and minimize the negative effects of stereotype threat. Female participants learned that they would be taking a math test that was either diagnostic or nondiagnostic of their math ability. Prior to taking the test, participants interacted with either an in-group peer (a female college student) or an out-group peer (a male college student) who had just taken the test and learned that the student (...) had either performed well or poorly on the test. Exposure to either an in-group or an out-group peer whose performance was consistent with the negative stereotype (a poor-performing female or a strong-performing male) exacerbated stereotype threat effects. In contrast, exposure to an in-group or an out-group peer whose performance challenged the negative stereotype (a strong-performing female or a poor-performing male) eliminated stereotype threat effects. These findings demonstrate that people can look to both in-group and out-group peers as sources of inspiration in the context of a negative stereotype. (shrink)

The contribution of this paper is a comprehensive cybersecurity framework to secure cloud hosted Guidewire implementations by addressing critical security challenges such as threat detection, incident response, compliance, and system performance. Based on advanced technologies like machine learning, behavioral analytics and auto patching, the framework detects and mitigates known and unknown threats, incidentally zero-day exploit. The system does this through micro segmenting, behavioral anomaly detection, and automated patch orchestration in a way that does not render the system unperforming. Key (...) performance metrics of threat detection time (less than 3 seconds), incident response (patching within 5 minutes) and system availability (99.95% uptime) are all tested as the framework outperforms in all of these. Additionally, the framework ascertains industry standards such as GDPR and HIPAA via automated audit trails and ongoing monitoring. Compared to the currently deployed cloud security, the proposed approach, with a special focus on more secure the Guidewire application deployed in the cloud, offers a multi layered security approach to the modules specific to the Guidewire. Though powerful, the framework also suffers from complexity in its deployment, overhead in terms of performance and a reliance on cloud provider-specific features. The scalability will need to improve, and the product will need to support multiple clouds and integrate advanced technology such as quantum computing and AI-powered threat intelligence. This work sets a solid basis for the protection of cloud-based Guidewire systems against future cyber threats while maintaining operational continuity and system compliance. (shrink)

This article examines the rapidly evolving landscape of cybersecurity, focusing on emerging threats and innovative defense mechanisms. We analyze four key threat vectors: Advanced Persistent Threats (APTs), ransomware, Internet of Things (IoT) vulnerabilities, and social engineering attacks. These threats pose significant risks to organizations, including data breaches, financial losses, and operational disruptions. In response, we explore cutting-edge defense mechanisms such as Artificial Intelligence and Machine Learning for threat detection, Zero Trust Architecture for access control, blockchain for data (...) integrity, behavioral analytics for insider threat detection, and quantum cryptography for enhanced encryption. The article also outlines best practices for cybersecurity, including regular software updates, strong password policies, employee training, and security audits. By synthesizing current research and industry trends, this article provides a comprehensive overview of the cybersecurity landscape, emphasizing the need for continuous adaptation and vigilance in the face of evolving cyber threats. (shrink)

In contemporary academic, political, and media discourse, terrorism is typically portrayed as an existential threat to lives and states, a threat driven by religious extremists who seek the destruction of Western civilization and who are immune to reason and negotiation. In many countries, including the US, the UK, and Australia, this existential threat narrative of terrorism has been used to justify sweeping counterterrorism legislation, as well as military operations and even the use of tactics such as torture and indefinite detention. (...) In this chapter I outline the components of the existential threat narrative, and explain how critical terrorism scholars have critiqued this narrative on two main grounds: that it is based on false empirical claims about the nature, scale, and motivations of modern non-state terrorism, and that counterterrorism policies and practices based on this narrative have had extremely destructive consequences for individuals, communities, and states—in some cases, causing far more destruction than terrorism itself. In the final section I offer some suggestions for the direction of future terrorism research in light of these critiques of the existential threat narrative. (shrink)

As scientific progress approaches the point where significant human enhancements could become reality, debates arise whether such technologies should be made available. This paper evaluates the widespread concern that human enhancements will inevitably accentuate existing inequality and analyzes whether prohibition is the optimal public policy to avoid this outcome. Beyond these empirical questions, this paper considers whether the inequality objection is a sound argument against the set of enhancements most threatening to equality, i.e., cognitive enhancements. In doing so, I shall (...) argue that cognitive enhancements can be embraced wholeheartedly, for three separate reasons. However, though the inequality objection does not sufficiently support the conclusion that cognitive enhancements should be prohibited, it raises several concerns for optimal policy design that shall be addressed here. (shrink)

Robert Kimball, in “What’s Wrong with ArgumentumAd Baculum?” (Argumentation, 2006) argues that dialogue-based models of rational argumentation do not satisfactorily account for what is objectionable about more malicious uses of threats encountered in some ad baculum arguments. We review the dialogue-based approach to argumentum ad baculum, and show how it can offer more than Kimball thinks for analyzing such threat arguments and ad baculum fallacies.

Everyday, meat, milk, eggs, and fish serve as vital components of our diet. Yet, hidden within these familiar foods may reside chemical contaminants that threaten human health. In their recent review, Mi and Lin [2] explore how cutting-edge science—specifically, physiologically based pharmacokinetic (PBPK) modeling—is helping to unravel and manage these hidden risks. PBPK is a computational modeling and simulation tool that integrates physiological and chemicalspecific parameters to predict the absorption, distribution, metabolism, and excretion of substances in human and animal bodies (...) using mathematical equations. (shrink)

Even among those who find lethal defense against non-responsible threats, innocent aggressors, or justified aggressors justified even in one to one cases, there is a debate as to what the best explanation of this permissibility is. The contenders in this debate are the liability account, which holds that the non-responsible or justified human targets of the defensive measures are liable to attack, and the justified infringement account, which claims that the targets retain their right not to be attacked but (...) may be attacked anyway, even in one to one situations. Given that we normally think that rights are trumps, this latter claim is counter-intuitive and rather surprising, and therefore in need of justification and explanation. So far only Jonathan Quong has actually tried to provide an explanation; however, I will argue that his explanation fails and that Quong’s own account of liability is misguided. I then address Helen Frowe’s critique of the liability account. She makes the important concession that the tactical bomber has to compensate his victims, but she tries to block the conclusion that he must therefore be liable. I will demonstrate that her attempt to explain away liability fails once that concession is made. (shrink)

This book aims to provide a comprehensive analysis of Advanced Persistent Threats (APTs), including their characteristics, origins, methods, consequences, and defense strategies, with a focus on detecting these threats. It explores the concept of advanced persistent threats in the context of cyber security and cyber warfare. APTs represent one of the most insidious and challenging forms of cyber threats, characterized by their sophistication, persistence, and targeted nature. The paper examines the origins, characteristics and methods used by (...) APT actors. It also explores the complexities associated with APT detection, analyzing the evolving tactics used by threat actors and the corresponding advances in detection methodologies. It highlights the importance of a multi-faceted approach that integrates technological innovations with proactive defense strategies to effectively identify and mitigate APT. (shrink)

Many arguments have been made against gene editing. This paper addresses the commonly invoked argument that gene editing violates human dignity and is ultimately a subversion of human nature. There are several drawbacks to this argument. Above all, the concept of what human dignity means is unclear. It is not possible to condemn a practice that violates human dignity if we do not know exactly what is being violated. The argument’s entire reasoning is thus undermined. Analyses of the arguments involved (...) in this discussion have often led to the conclusion that gene editing contravenes the principle of genetic identity (genetic immutability) thereby subverting a requisite of human dignity and ultimately threatening human nature. This paper refutes these arguments and shows that any opposition to gene editing cannot rely on the human dignity argument. (shrink)

The paper defends the argument that the Resemblance Paradox (RP), or the problem of the ‘under-determination of meaning’, and the Rule-Following Paradox (RFP) are two sides of the same paradox threatening meaning from opposite extremes. After presenting the case, the paradox is reconsidered anew and the supposition that the threat is a pervasive one is challenged.

This article develops a hermeneutic framework for analyzing the representation of imminent future threats. The framework will be derived from the later works of Paul Ricoeur, in which he employs the concept of 'imagination' rather than 'fantasy' (both originating from the Greek term phantasia). Ricoeur posits the significance of what shall be referred to as 'the site of initiative'. It is within this site of initiative that two types of events converge: events that happen to us and events that (...) we make happen. Furthermore, the site of initiative is constituted between two orders of imagination: the space of experience (reproductive) and the horizon of expectation (productive). To enhance the framework's relevance for political and social theory, it will be extended to incorporate Ricoeur's analysis of ideology and utopia. This extension facilitates a preliminary analysis of contemporary dystopias in which fears are exploited for political gain. It will be argued that these dystopias have the tendency to spur a society into arbitrary and unwarranted actions that eclipse the site of initiative. (shrink)

ABSTRACT: So far in this book, we have examined algorithmic decision systems from three autonomy-based perspectives: in terms of what we owe autonomous agents (chapters 3 and 4), in terms of the conditions required for people to act autonomously (chapters 5 and 6), and in terms of the responsibilities of agents (chapter 7). -/- In this chapter we turn to the ways in which autonomy underwrites democratic governance. Political authority, which is to say the ability of a government to exercise (...) power, may be justifiable or not. Whether it is justified and how it can come to be justified is a question of political legitimacy. Political legitimacy is another way in which autonomy and responsibility are linked. This relationship is the basis of the current chapter, and it is important in understanding the moral salience of algorithmic systems. We will draw the connection as follows. We begin, in section 8.1, by describing two uses of technology: crime predicting technology used to drive policing practices and social media technology used to influence elections (including by Cambridge Analytica and by the Internet Research Agency). In section 8.2 we consider several views of legitimacy and argue for a hybrid version of normative legitimacy based on one recently offered by Fabienne Peter. In section 8.3 we will explain that the connection between political legitimacy and autonomy is that legitimacy is grounded in legitimating processes, which are in turn based on autonomy. Algorithmic systems—among them PredPol and the Cambridge Analytica-Facebook-Internet Research Agency amalgam—can hinder that legitimation process and conflict with democratic legitimacy, as we argue in section 8.4. We will conclude by returning to several cases that serve as through-lines to the book: Loomis, Wagner, and Houston Schools. -/- The link below is to an open-access copy of the chapter. (shrink)

In this doctoral dissertation I consider, and reject, the claim that recent varieties of non-reductive physicalism, particularly Donald Davidson's anomalous monism, are committed to a new kind of epiphenomenalism. Non-reductive physicalists identify each mental event with a physical event, and are thus entitled to the belief that mental events are causes, since the physical events with which they are held to be identical are causes. However, Jaegwon Kim, Ernest Sosa and others have argued that if we follow the non-reductive physicalist (...) in denying that mental features can be reduced to physical properties, then we must regard mental properties as being causally irrelevant to their bearers' effects, In short, the non-reductive physicalist is said to be committed to the belief that while there are mental causes, they do not cause their effects in virtue of being the types of mental state that they are. It is in this sense that non-reductive physicalists are thought to represent a new form of epiphenomenalism. After a brief survey of the history of epiphenomenalism, and its mutation into the contemporary strain that is believed to afflict non-reductive physicalism, 1 argue against the counterfactual criterion of the sort of causal relevance that we take mental features to enjoy. I then criticize the 'trope' response to the epiphenomenalist threat, and conclude that much of the current debate on this topic is premised on the mistaken belief that there is some variety of causal relevance that is not simply a brand of explanatory relevance. Once this is seen, it will seem much less plausible that mental properties are excluded from relevance to the phenomena of which we typically take them to be explanatory. (shrink)

The digital era brings various benefits to adolescents. However, operating on the digital environment without sufficient knowledge and skills will expose them to multiple types of risks, especially in the country with low digital safety education rate like Vietnam. The current study examines factors that can contribute to cultivating adolescents’ digital resilience using the information-processing reasoning of the Mindsponge Theory. A UNESCO dataset of 1061 Vietnamese high school students was analyzed using the Bayesian Mindsponge Framework analytics. It is found that (...) adolescents’ daily Internet usage frequency, parents’ Internet safety guidance, and teachers’ safety guidance are positively associated with digital resilience. However, the effects of parents’ and teachers’ Internet safety guidance on digital resilience are conditional on the daily Internet usage frequency. Parents’ guidance only enhances adolescents’ digital resilience if they use the Internet less than four hours per day. In contrast, the positive effect of teachers’ guidance on adolescents’ digital resilience becomes stronger when the students spend more time on the Internet (more than 1 hour). Based on these findings, we suggest that adolescents can learn to minimize risks and protect themselves by exposing more to the digital environment. Parents’ and teachers’ supports are important in enhancing adolescents’ capability to deal with digital threats, but types of supports need to be carefully considered to avoid reverse impacts on adolescents’ resilience. (shrink)