The American justice system, from police departments to the courts, is increasingly turning to information technology for help identifying potential offenders, determining where, geographically, to allocate enforcement resources, assessing flight risk and the potential for recidivism amongst arrestees, and making other judgments about when, where, and how to manage crime. In particular, there is a focus on machine learning and other data analytics tools, which promise to accurately predict where crime will occur and who will perpetrate it. Activists and academics (...) have begun to raise critical questions about the use of these tools in policing contexts. In this chapter, I review the emerging critical literature on predictive policing and contribute to it by raising ethical questions about the use of predictive analytics tools to identify potential offenders. Drawing from work on the ethics of profiling, I argue that the much-lauded move from reactive to preemptive policing can mean wrongfully generalizing about individuals, making harmful assumptions about them, instrumentalizing them, and failing to respect them as full ethical persons. I suggest that these problems stem both from the nature of predictive policing tools and from the sociotechnical contexts in which they are implemented... (shrink)

In light of the recent emergence of predictive techniques in law enforcement to forecast crimes before they occur, this paper examines the temporal operation of power exercised by predictive policing algorithms. I argue that predictive policing exercises power through a paranoid style that constitutes a form of temporal governmentality. Temporality is especially pertinent to understanding what is ethically at stake in predictive policing as it is continuous with a historical racialized practice of organizing, (...) managing, controlling, and stealing time. After first clarifying the concept of temporal governmentality, I apply this lens to Chicago Police Department’s Strategic Subject List. This predictive algorithm operates, I argue, through a paranoid logic that aims to preempt future possibilities of crime on the basis of a criminal past codified in historical crime data. (shrink)

In this chapter I defend the construction of inclusive, tightly governed DNA databases, as long as police can access them only for the prosecution of the most serious crimes or less serious but very high-volume offences. I deny that that the ethics of collecting and using these data sets the pattern for other kinds of policing by big data, notably predictive policing. DNA databases are primarily used for matching newly gathered biometric data with stored data. After considering (...) and disputing a number of objections to this practice, I conclude that DNA databases used in this way are ethically acceptable, if not valuable, contributions to legitimate policing. (shrink)

This book provides a comprehensive examination of the police role from within a broader philosophical context. Contending that the police are in the midst of an identity crisis that exacerbates unjustified law enforcement tactics, Luke William Hunt examines various major conceptions of the police—those seeing them as heroes, warriors, and guardians. The book looks at the police role considering the overarching societal goal of justice and seeks to present a synthetic theory that draws upon history, law, society, psychology, and philosophy. (...) Each major conception of the police role is examined in light of how it affects the pursuit of justice, and how it may be contrary to seeking justice holistically and collectively. The book sets forth a conception of the police role that is consistent with the basic values of a constitutional democracy in the liberal tradition. Hunt’s intent is that clarifying the police role will likewise elucidate any constraints upon policing strategies, including algorithmic strategies such as predictive policing. This book is essential reading for thoughtful policing and legal scholars as well as those interested in political philosophy, political theory, psychology, and related areas. Now more than ever, the nature of the police role is a philosophical topic that is relevant not just to police officials and social scientists, but to everyone. (shrink)

Policing in many parts of the world—the United States in particular—has embraced an archetypal model: a conception of the police based on the tenets of individuated archetypes, such as the heroic police “warrior” or “guardian.” Such policing has in part motivated moves to (1) a reallocative model: reallocating societal resources such that the police are no longer needed in society (defunding and abolishing) because reform strategies cannot fix the way societal problems become manifest in (archetypal) policing; and (...) (2) an algorithmic model: subsuming policing into technocratic judgements encoded in algorithms through strategies such as predictive policing (mitigating archetypal bias). This paper begins by considering the normative basis of the relationship between political community and policing. It then examines the justification of reallocative and algorithmic models in light of the relationship between political community and police. Given commitments to the depth and distribution of security—and proscriptions against dehumanizing strategies—the paper concludes that a nonideal-theory priority rule promoting respect for personhood (manifest in community and dignity-promoting policing strategies) is a necessary condition for the justification of the above models. (shrink)

Police officers' work-life conflict is linked to more subjective health complaints, suicidal thoughts, burnout, and stress in addition to higher degrees of job discontent. Further research findings highlight the significant relationship between stress and work-life balance or work-family conflict affecting police officers regardless of their gender, despite the fact that significant gender differences regarding psychosocial stress were found in general, but especially among police officers who were married and/or had children. Similarly, despite conflicting findings, several research show that gender neither (...) predicts nor significantly differs between male and female police officers in terms of job satisfaction. This study was focused on determining the factors influencing the perception of job satisfaction among police officers which will be used as a basis for improved personnel management in terms of environment and atmosphere, compensation, standards and policies, people, leadership, and organization. This study was participated by one hundred sixty police officers (160). This study was focused on determining the factors influencing the perception of job satisfaction among police officers which will be used as a basis for improved personnel management in terms of environment and atmosphere, compensation, standards and policies, people, leadership, and organization. This study used a purposive sampling technique in choosing the respondents of this study. The descriptive design is an appropriate method to facilitate the gathering of reliable and accurate data through research and conduct of the survey measurement of two or more variables to determine or estimate the extent to which the values for the variables are related or change in an identifiable pattern. (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)

Law-enforcement agencies are increasingly able to leverage crime statistics to make risk predictions for particular individuals, employing a form of inference that some condemn as violating the right to be “treated as an individual.” I suggest that the right encodes agents’ entitlement to a fair distribution of the burdens and benefits of the rule of law. Rather than precluding statistical prediction, it requires that citizens be able to anticipate which variables will be used as predictors and act intentionally to avoid (...) them. Furthermore, it condemns reliance on various indexes of distributive injustice, or unchosen properties, as evidence of law-breaking. (shrink)

The paper examines the justification of warfare. The main thesis is that war is very difficult to justify, and justification by invoking “justice” is not the way to succeed it. Justification and justness are very different venues: while the first attempts to explain the nature of war and offer possible schemes of resolution, the second aims to endorse a specific type of warfare as correct and hence allowed – which is the crucial part of “just war theory.” However, “just war (...) theory,” somewhat Manichean in its nature, has very deep flaws. Its final result is criminalization of war, which reduces warfare to police action, and finally implies a very strange proviso that one side has a right to win. All that endangers the distinction between ius ad bellum and ius in bello, and destroys the collective character of warfare. Justification of war is actually quite different – it starts from the definition of war as a kind of conflict which cannot be solved peacefully, but for which there is mutual understanding that it cannot remain unresolved. The aim of war is not justice, but peace, i.e. either a new articulation of peace, or a restoration of the status quo ante. Additionally, unlike police actions, the result of war cannot be known or assumed in advance, giving war its main feature: the lack of control over the future. Control over the future, predictability, is a feature of peace. This might imply that war is a consequence of failed peace, or inability to maintain peace. The explanation of this inability forms the justification of war. Justice is always an important part of it, but justification cannot be reduced to it. The logic contained here refers to ius ad bellum, while ius in bello is relative to various parameters of sensitivity prevalent in a particular time, with the purpose to make warfare more humane and less expensive. (shrink)

A social planner who evaluates risky public policies in light of the other risks with which their society will be faced should judge favourably some such policies even though they would deem them too risky when considered in isolation. I suggest that a longtermist would—or at least should—evaluate risky polices in light of their prediction about future risks; hence, longtermism supports social risk-taking. I consider two formal versions of this argument, discuss the conditions needed for the argument to be valid, (...) and briefly compare these conditions to some risky policy options with which actual public decision-makers are faced. (shrink)

There is increasing concern about “surveillance capitalism,” whereby for-profit companies generate value from data, while individuals are unable to resist (Zuboff 2019). Non-profits using data-enabled surveillance receive less attention. Higher education institutions (HEIs) have embraced data analytics, but the wide latitude that private, profit-oriented enterprises have to collect data is inappropriate. HEIs have a fiduciary relationship to students, not a narrowly transactional one (see Jones et al, forthcoming). They are responsible for facets of student life beyond education. In addition to (...) classrooms, learning management systems, and libraries, HEIs manage dormitories, gyms, dining halls, health facilities, career advising, police departments, and student employment. HEIs collect and use student data in all of these domains, ostensibly to understand learner behaviors and contexts, improve learning outcomes, and increase institutional efficiency through “learning analytics” (LA). ID card swipes and Wi-Fi log-ins can track student location, class attendance, use of campus facilities, eating habits, and friend groups. Course management systems capture how students interact with readings, video lectures, and discussion boards. Application materials provide demographic information. These data are used to identify students needing support, predict enrollment demands, and target recruiting efforts. These are laudable aims. However, current LA practices may be inconsistent with HEIs’ fiduciary responsibilities. HEIs often justify LA as advancing student interests, but some projects advance primarily organizational welfare and institutional interests. Moreover, LA advances a narrow conception of student interests while discounting privacy and autonomy. Students are generally unaware of the information collected, do not provide meaningful consent, and express discomfort and resigned acceptance about HEI data practices, especially for non-academic data (see Jones et al. forthcoming). The breadth and depth of student information available, combined with their fiduciary responsibility, create a duty that HEIs exercise substantial restraint and rigorous evaluation in data collection and use. (shrink)

This chapter begins with an empirical analysis of attitudes towards the law, which, in turn, inspires a philosophical re-examination of the moral status of the rule of law. In Section 2, we empirically analyse relevant survey data from the US. Although the survey, and the completion of our study, preceded the recent anti-police brutality protests sparked by the killing of George Floyd, the relevance of our observations extends to this recent development and its likely reverberations. Consistently with prior studies, we (...) find that people’s ascriptions of legitimacy to the legal system are predicted strongly by their perceptions of the procedural justice and lawfulness of police and court officials’ action. Two factors emerge as significant predictors of people’s compliance with the law: (i) their belief that they have a (content-independent, moral) duty to obey the law (which is one element of legitimacy, as defined here); and (ii) their moral assessment of the content of specific legal requirements (‘perceived moral content of laws’). We also observe an interactive relationship between these two factors. At higher levels of perceived moral content of laws, felt duty to obey is a better predictor of compliance. And, similarly, perceived moral content of laws is a better predictor of compliance at higher levels of felt duty to obey. This suggests that the moral content incorporated in specific laws interacts with the normative force people ascribe to legal authorities by virtue of other qualities, specifically here procedural justice and lawfulness. In Section 3, the focus shifts to a philosophical analysis, whereby we identify a parallel (similarly interactive) modality in the way that form and content mutually affect the value of the rule of law. We advocate a distinctive alternative to two rival approaches in jurisprudential discourse, the first of which claims that Lon Fuller’s eight precepts of legality embody moral qualities not contingent on the law’s content, while the second denies any independent moral value in these eight precepts, viewing them as entirely subservient to the law’s substantive goals. In contrast, on the view put forward here, Fuller’s principles possess (inter alia) an expressive moral quality, but their expressive effect does not materialise in isolation from other, contextual factors. In particular, the extent to which it materialises is partly sensitive to the moral quality of the law’s content. (shrink)

The paper examines the justification of warfare. The main thesis is that war is very difficult to justify, and justification by invoking “justice” is not the way to succeed it. Justification and justness (“justice”) are very different venues: while the first attempts to explain the nature of war and offer possible schemes of resolution (through adequate definitions), the second aims to endorse a specific type of warfare as correct and hence allowed – which is the crucial part of “just war (...) theory.” However, “just war theory,” somewhat Manichean in its nature, has very deep flaws. Its final result is criminalization of war, which reduces warfare to police action, and finally implies a very strange proviso that one side has a right to win. All that endangers the distinction between ius ad bellum and ius in bello, and destroys the collective character of warfare (reducing it to an incomprehensible individual level, as if a group of people entered a battle in hopes of finding another group of people willing to respond). Justification of war is actually quite different – it starts from the definition of war as a kind of conflict which cannot be solved peacefully, but for which there is mutual understanding that it cannot remain unresolved. The aim of war is not justice, but peace, i.e. either a new articulation of peace, or a restoration of the status quo ante. Additionally, unlike police actions, the result of war cannot be known or assumed in advance, giving war its main feature: the lack of control over the future. Control over the future, predictability (obtained through laws), is a feature of peace. This might imply that war is a consequence of failed peace, or inability to maintain peace. The explanation of this inability (which could simply be incompetence, or because peace, as a specific articulation of distribution of social power, is not tenable anymore) forms the justification of war. Justice is always an important part of it, but justification cannot be reduced to it. The logic contained here refers to ius ad bellum, while ius in bello is relative to various parameters of sensitivity prevalent in a particular time (and expressed in customary and legal rules of warfare), with the purpose to make warfare more humane and less expensive. (shrink)

Abstract: As there are no currently obvious ways to create safe self-improving superintelligence, but its emergence is looming, we probably need temporary ways to prevent its creation. The only way to prevent it is to create a special type of AI that is able to control and monitor the entire world. The idea has been suggested by Goertzel in the form of an AI Nanny, but his Nanny is still superintelligent, and is not easy to control. We explore here ways (...) to create the safest and simplest form of AI which may work as an AI Nanny, that is, a global surveillance state powered by a Narrow AI, or AI Police. A similar but more limited system has already been implemented in China for the prevention of ordinary crime. AI police will be able to predict the actions of and stop potential terrorists and bad actors in advance. Implementation of such AI police will probably consist of two steps: first, a strategic decisive advantage via Narrow AI created by an intelligence services of a nuclear superpower, and then ubiquitous control over potentially dangerous agents which could create unauthorized artificial general intelligence which could evolve into Superintelligence. (shrink)

Cooperative relations steeped in honesty and good faith are a necessity for any viable society. This is especially relevant to the police institution because the police are entrusted to promote justice and security. Despite the necessity of societal honesty and good faith, the police institution has embraced deception, dishonesty, and bad faith as tools of the trade for providing security. In fact, it seems that providing security is impossible without using deception and dishonesty during interrogations, undercover operations, pretextual detentions, and (...) other common scenarios. This presents a paradox related to the erosion of public faith in the police institution and the weakening of the police's legitimacy. -/- The book seeks to solve this puzzle by showing that many of our assumptions about policing and security are unjustified. Specifically, they are unjustified in the way many of our assumptions about security were unjustified after the 9/11 terrorist attacks, when state institutions embraced a variety of brutal rules and tactics in pursuit of perceived security enhancements. The police are likewise unjustified in their pursuit of many supposed security enhancements that rely on proactive deception, dishonesty, and bad faith. -/- There are compelling reasons to think that the police's widespread use of proactive deception and dishonesty is inconsistent with fundamental norms of political morality regarding fraud and the rule of law. Although there are times and places for such tactics in policing, those times and places should be much more limited than current practices suggest. (shrink)

I defend the view that a significant ethical distinction can be made between justified killing in self-defense and police use of lethal force. I start by opposing the belief that police use of lethal force is morally justified on the basis of self-defense. Then I demonstrate that the state’s monopoly on the use of force within a given jurisdiction invests police officers with responsibilities that go beyond what morality requires of the average person. I argue that the police should primarily (...) be concerned with preserving public safety. As a consequence, police have additional moral permissions to use lethal force. But this also means that the principle of restraint is inherent to the policing function and therefore police are obliged to go to greater lengths to avoid killing. I concede that the just use of police force can be made difficult in extreme situations such as a mass riot. In such cases, police should take proportionate actions necessary to protect the lives of inhabitants by restoring order, which might include calling on military support. I conclude with a cautionary note opposing militarization of the policing role. (shrink)

Under a ‘dirty hands’ model of undercover policing, it inevitably involves situations where whatever the state agent does is morally problematic. Christopher Nathan argues against this model. Nathan’s criticism of the model is predicated on the contention that it entails the view, which he considers objectionable, that morally wrongful acts are central to undercover policing. We address this criticism, and some other aspects of Nathan’s discussion of the ‘dirty hands’ model, specifically in relation to state entrapment to commit (...) a crime. Using János Kis’s work on political morality, we explain three dilemmatic versions of the ‘dirty hands’ model. We show that, while two of these are inapplicable to state entrapment, the third has better prospects. We then pursue our main aim, which is to argue that, since the third model precludes Nathan’s criticism, a viable ‘dirty hands’ model of state entrapment remains an open possibility. Finally, we generalize this result, showing that the case of state entrapment is not special: the result holds good for policing practices more generally, including such routine practices as arrest, detention, and restraint. (shrink)

To succeed, political science usually requires either prediction or contextual historical work. Both of these methods favor explanations that are narrow-scope, applying to only one or a few cases. Because of the difficulty of prediction, the main focus of political science should often be contextual historical work. These epistemological conclusions follow from the ubiquity of causal fragility, under-determination, and noise. They tell against several practices that are widespread in the discipline: wide-scope retrospective testing, such as much large-n statistical work; lack (...) of emphasis on prediction; and resources devoted to ‘pure theory’ divorced from frequent empirical application. I illustrate, via Donatella della Porta’s work on political violence, the important role that is still left for theory. I conclude by assessing the scope for political science to offer policy advice. (shrink)

This article offers a normative analysis of some of the most controversial incidents involving police—what I call police-generated killings. In these cases, bad police tactics create a situation where deadly force becomes necessary, becomes perceived as necessary, or occurs unintentionally. Police deserve blame for such killings because they choose tactics that unnecessarily raise the risk of deadly force, thus violating their obligation to prioritize the protection of life. Since current law in the United States fails to ban many bad tactics, (...) police- generated killings often are treated as “lawful but awful.” To address these killings, some call on changes to departmental policies or voluntary reparations by local governments, yet such measures leave in place a troubling gap between ethics and law. I argue that police-generated killings merit legal sanctions by appealing to a relevant analogy: self-generated self-defense, where the person who engages in self-defense started the trouble. The persistent lack of accountability for police-generated killings threatens life, police legitimacy, and trust in democratic institutions. The article closes by identifying tools in law and policy to address this challenge. (shrink)

This chapter wades into the growing discussion surrounding embodied cognition and predictive processing. After surveying a recent debate between Jakob Hohwy and Andy Clark, it articulates two outstanding issues facing discussions of compatibility. It argues that headway on these issues can be made by drawing on the resources of philosophy of science.

Police killings of individuals with mental illness have prompted calls for greater funding of mental health services to shift responsibilities away from the police. Such investments can reduce police interactions with vulnerable populations but are unlikely to eliminate them entirely, particularly in cases where individuals with mental illness have a weapon or are otherwise dangerous. It remains a pressing question, then, how police should respond to these and other vulnerable aggressors with diminished culpability (VADCs). This article considers and ultimately rejects (...) three potential approaches from the ethics of defensive force literature. It looks to improve on them by developing what I call the fusion account, which explains how vulnerability and diminished culpability fit together to provide moral grounds for extra protections from deadly force. The article’s final sections explore the policy implications of the fusion account for police administrators, officers, and the law. (shrink)

The number of police departments carrying Narcan keeps increasing at a fast pace throughout the U.S., as it is considered an effective measure to fight the opioid epidemic. However, there have been strong oppositions to the idea of the police Narcan use. Still, in 2018, the nation is debating about it. Though not clearly visible to the public, there are important ethical arguments against the police Narcan use which necessarily involve understanding of the ethical roles and responsibilities of police as (...) the law enforcement agency and apprehension of the moral status of a non-therapeutic opioid use. The authors of the paper investigate, primarily, the existing ethical controversies surrounding the police Narcan use while touching upon the issue of the decriminalizing drug policy in the U.S. The authors conclude that the police can carry and administer Narcan without self-contradiction and that the policymakers’ investigation on the drug decriminalization policy should begin with the understanding of the “common morality” of the American public, the ethical view shared and practiced by the greatest number of people. (shrink)

Why does institutional police brutality continue so brazenly? Criminologists and other social scientists typically theorize about the causes of such violence, but less attention is given to normative questions regarding the demands of justice. Some philosophers have taken a teleological approach, arguing that social institutions such as the police exist to realize collective ends and goods based upon the idea of collective moral responsibility. Others have approached normative questions in policing from a more explicit social-contract perspective, suggesting that legitimacy (...) is derived by adhering to (limited) authority. This article examines methodologies within political philosophy for analyzing police injustice. The methodological inquiry leads to an account of how justice constrains the police through both special (or positional) moral requirements that officers assume voluntarily, as well as general moral requirements in virtue of a polity’s commitment to moral, political and legal values beyond law enforcement and crime reduction. The upshot is a conception of a police role that is constrained by justice from multiple foundational stances. (shrink)

In 2014, questionable police killings of Eric Garner, Michael Brown, and Tamir Rice sparked mass protests and put policing at the center of national debate. Mass protests erupted again in 2020 after the brutal police killing of George Floyd. These and other incidents have put a spotlight on a host of issues that threaten the legitimacy of policing—excessive force, racial bias, over-policing of marginalized communities, historic injustices that remain unaddressed, and new technology that increases police powers. This (...) introduction gives an overview of these ethical challenges facing police today and the democratic institutions that oversee them. It then outlines the various interdisciplinary perspectives—from Black studies, criminology, history, law, philosophy, political science, and sociology—collected in the volume. Together, these contributions aim to clarify the question of which ethical principles should guide police, where current practices fall short, and what strategies hold the most promise for addressing these failures. (shrink)

POLICE ETHICS – Abstract Mark Lauchs -/- Police are an essential part of the justice system. They are the frontline actors in keeping the peace, social stability and cohesion. Thus good governance relies on honest policing. However, there will always be at least a small group of corrupt police officers, even though Australians are culturally averse to corruption (Khatri, Tsang, & Begley, 2006). There have been many cases where the allegations of police corruption have reached to the highest levels (...) of a state police force (Blanch, 1982) and, in the case of the Fitzgerald Inquiry (Fitzgerald, 1989), ended in a commissioner being convicted of corruption. -/- Any public official who places their own interests before those of the public have corrupted a system in which they are supposed to act as agents of the public, will undermine the good governance of a society (Lauchs, 2007). Police officers attract offers of corruption because of their ability to enforce or ignore the law. Police who are unethical or in financial stress are vulnerable to offers of illicit payments. Longstanding arrangements of corruption within a police branch can lead to a corruption network between police and criminals. Organised police corruption constitutes “social behaviour, conducted in groups within organisations, that is powerful enough to override the officer’s oath of office, personal conscience, departmental regulations and criminal laws.” (Punch, 2000) it is an even greater threat to the community because the damage done has more impact than the sum of the individual acts of corruption. This chapter will discuss the types of police corruption and focus on the organisation as the source of core police culture. -/- . (shrink)

The police are one of the important law enforcement agency in Bangladesh. Police are the best agency to protect human rights. Indeed, the police have a special responsibility to protect people. In addition, to their duty, they also serve in people's social and moral call, especially during COVID-19 situations they imprint many examples of humanity. People experience many good deeds of police during a national disaster as well. However, allegation against the police for violations of human rights is not uncommon. (...) Cases of torture, death in police custody, involvement in the drug trade and robberies, entrapment with drug, helping in land grabbing, etc. are being published in newspapers. Nevertheless, to protect human rights or to take care of human rights is the prime function of the police. This research efforts to find out the answer to why police violate human rights. This research may help police professionals or administrators in taking policy initiatives to erase the negative image of the police. (shrink)

What should be a police department's policies and regulations on the use of deadly force? What is the relevance for this of the state law on capital punishment?

This chapter offers an overview and analysis of policing, the area of criminal justice associated primarily with law enforcement. The study of policing spans a variety of disciplines, including criminology, law, philosophy, politics, and psychology, among other fields. Although research on policing is broad in scope, it has become an especially notable area of study in contemporary legal and social philosophy given recent police controversies.

The best arguments against gun control invoke moral rights—it might be good if there were fewer guns in circulation, but there is a moral right to own firearms. Rather than emphasizing the potential benefits of gun control, this paper meets the best arguments on their home turf. I argue that there simply is no moral right to keep guns on one’s person or in one’s residence. In fact, our moral rights support the mutual disarmament of citizens and police.

The framework of Solomonoff prediction assigns prior probability to hypotheses inversely proportional to their Kolmogorov complexity. There are two well-known problems. First, the Solomonoff prior is relative to a choice of Universal Turing machine. Second, the Solomonoff prior is not computable. However, there are responses to both problems. Different Solomonoff priors converge with more and more data. Further, there are computable approximations to the Solomonoff prior. I argue that there is a tension between these two responses. This is because computable (...) approximations to Solomonoff prediction do not always converge. (shrink)

When police abuse their duties, it undermines the state's internal security. It creates a crisis of legitimacy of police because people detest them for their abuse and tyranny. In 1957, IACP (the International Association of Chiefs of Police) developed an ethics tool Code of Ethics for law enforcement. Nevertheless, training has been focused and emphasized on techniques and tactics of policing. Ethics is not the part of presell of the training. The Code of Ethics is pronounced once in a (...) life only during pass-out day. Police face dilemmas in real-time situations with people and society. This is why, this article is concerned with ethics a tool, and procedures to reduce police abuse. (shrink)

Deep learning may transform health care, but model development has largely been dependent on availability of advanced technical expertise. The aim of this study is to develop a deep learning model to predict the gender from retinal fundus images. The proposed model was based on the Xception pre-trained model. The proposed model was trained on 20,000 retinal fundus images from Kaggle depository. The dataset was preprocessed them split into three datasets (training, validation, Testing). After training and cross-validating the proposed model, (...) it was evaluated using the testing dataset. The result of testing, the area under receiver operating characteristic curve (AUROC) of the model was 0.99, precision, recall, f1-score and accuracy were 99%, precision, recall, f1-score and accuracy were 96.83%, 96.83%, 96.82% and 96.83% respectively.. Clinicians are presently unaware of dissimilar retinal feature variants between females and males, stressing the importance of model explain ability for the prediction of gender from retinal fundus images. The proposed deep learning may enable clinician-driven automated discovery of novel visions and disease biomarkers. (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)

Essay exploring the extent to which certain agreements between the police and informants are an affront (both procedurally and substantively) to basic tenets of the liberal tradition in legal and political philosophy.

Diabetes is one of the most common diseases worldwide where a cure is not found for it yet. Annually it cost a lot of money to care for people with diabetes. Thus the most important issue is the prediction to be very accurate and to use a reliable method for that. One of these methods is using artificial intelligence systems and in particular is the use of Artificial Neural Networks (ANN). So in this paper, we used artificial neural networks to (...) predict whether a person is diabetic or not. The criterion was to minimize the error function in neural network training using a neural network model. After training the ANN model, the average error function of the neural network was equal to 0.01 and the accuracy of the prediction of whether a person is diabetics or not was 87.3%. (shrink)

According to the predictive coding theory of cognition , brains are predictive machines that use perception and action to minimize prediction error, i.e. the discrepancy between bottom–up, externally-generated sensory signals and top–down, internally-generated sensory predictions. Many consider PCT to have an explanatory scope that is unparalleled in contemporary cognitive science and see in it a framework that could potentially provide us with a unified account of cognition. It is also commonly assumed that PCT is a representational theory of (...) sorts, in the sense that it postulates that our cognitive contact with the world is mediated by internal representations. However, the exact sense in which PCT is representational remains unclear; neither is it clear that it deserves such status—that is, whether it really invokes structures that are truly and nontrivially representational in nature. In the present article, I argue that the representational pretensions of PCT are completely justified. This is because the theory postulates cognitive structures—namely action-guiding, detachable, structural models that afford representational error detection—that play genuinely representational functions within the cognitive system. (shrink)

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

The ability of videos to serve as evidence of racial injustice is complex and contested. This essay argues that scrutiny of the Black body has come to play a key role in how videos of police violence are mined for evidence, following a long history of racialized surveillance and attributions of threat and superhuman powers to Black bodies. Using videos to combat injustice requires incorporating humanizing narratives and cultivating resistant modes of looking.

This paper examines a looming reproducibility crisis in the core of the hard sciences. Namely, it concentrates on molecular modeling and simulation (MMS), a family of methods that predict properties of substances through computing interactions on a molecular level and that is widely popular in physics, chemistry, materials science, and engineering. The paper argues that in order to make quantitative predictions, sophisticated models are needed which have to be evaluated with complex simulation procedures that amalgamate theoretical, technological, and social factors (...) – leading to problems with reproducibility. Thus, for methodological reasons, the predictive success causes a reproducibility problem. (shrink)

A number of the men who would become the 9/11 hijackers were stopped for minor traffic violations. They were pulled over by police officers for speeding or caught by random inspection without a driver’s license. For United States government commissions and the press, these brushes with the law were missed opportunities. For some police officers though, they were of personal and professional significance. These officers replayed the incidents of contact with the 19 men, which lay bare the uncertainty of every (...) encounter, whether a traffic stop, or with someone taking photos of a landmark. Representatives from law enforcement began to design policies to include local police in national intelligence, with the idea of capitalizing on what patrol officers already do in dealing with the general public. Several initiatives were launched, among these, the Suspicious Activity Reporting Initiative. Routine reporting of suspicious activity was developed into steps for gathering, assessing and sharing terrorism-related information with a larger law enforcement and intelligence network. Through empirical analysis of counterterrorism efforts and recent scholarship on it, this chapter discusses prevention, preemption, and anticipation as three technologies of security, focusing on how each deals with uncertainty. The Suspicious Activity Reporting Initiative, this analysis suggests, is an anticipatory technology which constitutes police officers and intelligence analysts as subjects who work in a mode of uncertainty. (shrink)

The rapid growth of Indonesian Heavy Metal music, especially the Death Metal subgenre, since around the turn of the millennium, has been quite remarkable. Indonesia is now numerically the largest scene in the world. Man, the vocalist of Jasad, told the author that the provincial West Javanese city of Bandung had 128 active Death Metal bands as at February 2011. I discuss the cancellation of an April 2012 music festival held in the Bandung hinterland by police halfway through the festival, (...) and explain how and why it took place. Police became nervous and worried about Heavy Metal shows following the deaths of eleven concertgoers, due to a crowd crush, at a Beside album launch in Bandung in 2008. I also analyze the “maternal rage” of a band member’s mother (also a policewoman at the scene) from the perspective of grounded gendered cosmopolitanism. Lastly, a short case study of Sickles, a young band from the religiously-conservative Madura Island, shows the problems that young bands experience plus the type of global underground support which they can attract. (shrink)

Abstract The rapid growth of Indonesian Heavy Metal music, especially the Death Metal subgenre, since around the turn of the millennium, has been quite remarkable. Indonesia is now numerically the largest scene in the world. Man, the vocalist of Jasad, told the author that the provincial West Javanese city of Bandung had 128 active Death Metal bands as at February 2011. This chapter will discuss the cancellation of an April 2012 music festival held in the Bandung hinterland by police halfway (...) through the festival, and explain how and why it took place. Police became nervous and worried about Heavy Metal shows following the deaths of eleven concertgoers, due to a crowd crush, at a Beside album launch in Bandung in 2008. The chapter analyses the “maternal rage” of a band member’s mother (also a policewoman at the scene) from the perspective of grounded gendered cosmopolitanism. Lastly, a short case study of Sickles, a young band from the religiously-conservative Madura Island, shows the problems that young bands experience plus the type of global underground support which they can attract. (shrink)

In the United States, police use of force experts often maintain that controversial police shootings where an unarmed person’s hand gesture was interpreted as their “going for a gun” are justifiable. If an officer waits to confirm that a weapon is indeed being pulled from a jacket pocket or waistband, it may be too late to defend against a lethal attack. This article examines police policy norms for self-defense against “uncertain threats” in three contexts: (1) known in-progress violent crimes, (2) (...) interactions with civilians behaving non-aggressively, and (3) interactions with civilians behaving aggressively. It is argued that the context of a known in-progress violent crime gives rise to threat probability-, fairness-, and lesser evil-based reasons for a norm permitting police officers to use lethal force. However, in the contexts of civilians behaving non-aggressively and civilians behaving aggressively, such a norm is not justifiable. In the former case, I introduce two conditions, the Justification condition and the Valuing Civilian Lives condition, which I argue are not presently met. In the latter case, these two conditions again are not met; aggression may moreover be excused or justified due to background injustices around race and the criminal justice system. (shrink)

Predictive processing (PP) accounts of perception are unique not merely in that they postulate a unity between perception and imagination. Rather, they are unique in claiming that perception should be conceptualised in terms of imagination and that the two involve an identity of neural implementation. This paper argues against this postulated unity, on both conceptual and empirical grounds. Conceptually, the manner in which PP theorists link perception and imagination belies an impoverished account of imagery as cloistered from the external (...) world in its intentionality, akin to a virtual reality, as well as endogenously generated. Yet this ignores a whole class of imagery whose intentionality is directed on the actual environment—projected mental imagery—and also ignores the fact that imagery may be triggered crossmodally in a bottom-up, stimulus-driven way. Empirically, claiming that imagery and perception share neural circuitry ignores relevant clinical results in this area. These evidence substantial perception/imagery neural dissociations, most notably in the case of aphantasia. Taken together, the arguments here suggest that PP theorists should substantially temper, if not outright abandon, their claim to a perception/imagination unity. (shrink)

Over the past decade, police departments in many countries have experimented with and increasingly adopted the use of police body-worn cameras. This article aims to examine the moral issues raised by the use of PBWCs, and to provide an overall assessment of the conditions under which the use of PBWCs is morally permissible. It first reviews the current evidence for the effects of using PBWCs. On the basis of this review the article sets out a teleological argument for the use (...) of PBWCs. The final two sections of the article review two deontological objections to the use of PBWCs: the idea that use of PBWCs is based on or expresses disrespectful mistrust, and the idea that the use of PBWCs violates a right to privacy. The article argues that neither of these objections is persuasive, and concludes that we should conditionally accept and support the use of PBWCs. (shrink)

In this paper I consider Corneliu Porumboiu’s ‘Police, Adjective’ (Romania, 2009) as an instance of a puzzling work of art. Part of what is puzzling about it is the range of extreme responses to it, both positive and negative. I make sense of this puzzlement and try to alleviate it, while considering the film alongside Ludwig Wittgenstein’s arguably puzzling “Lectures on Aesthetics” (from 1938). I use each work to illuminate possible understandings of the other. The upshot is that it is (...) is plausible to regard both as engaged, in part, in preparing us to make sense both of themselves, and then also of other works. (shrink)

Predictive Processing theory, hotly debated in neuroscience, psychology and philosophy, promises to explain a number of perceptual and cognitive phenomena in a simple and elegant manner. In some of its versions, the theory is ambitiously advertised as a new theory of conscious perception. The task of this paper is to assess whether this claim is realistic. We will be arguing that the Predictive Processing theory cannot explain the transition from unconscious to conscious perception in its proprietary terms. The (...) explanations offer by PP theorists mostly concern the preconditions of conscious perception, leaving the genuine material substrate of consciousness untouched. (shrink)

Abstract: This research paper presents a novel approach to predict audit risks using a neural network model. The dataset used for this study was obtained from Kaggle and comprises 774 samples with 18 features, including 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. The proposed neural network architecture consists of three layers, including one input layer, one hidden layer, and one output layer. The neural network model was trained and validated, achieving (...) an impressive accuracy of 100% and an average error of 0.000015, indicating its robust predictive capability. Moreover, we conducted feature importance analysis to identify the most influential features for predicting audit risk. The key features found to be critical for classifying fraudulent activities in audit risk prediction are Sector_score, PARA_A, SCORE_A, PARA_B, SCORE_B, TOTAL, numbers, marks, Money_Value, District, Loss, Loss_SCORE, History, and History_score. This research contributes to the field of audit risk prediction by demonstrating the effectiveness of a neural network-based approach and highlighting the importance of specific features in detecting fraudulent activities. The findings have significant implications for auditors and organizations seeking to enhance their audit risk assessment processes, ultimately leading to improved financial transparency and fraud detection. (shrink)

Abstract: This research paper presents the development and evaluation of a neural network-based model for predicting fire alarms in smoke detection systems. Using a dataset from Kaggle containing 15 features and 3487 samples, we trained and validated a neural network with a three-layer architecture. The model achieved an accuracy of 100% and an average error of 0.0000003. Additionally, we identified the most influential features in predicting fire alarms.