This is a guide for building specific ethics standards for the criminal intelligence service which can be used for in-house arbitration, facilitation or adjudication of ethics issues.

This article aims to present the problem of the impact of artificial intelligence on respect for human dignity in the sphere of care for people who, for various reasons, are described as particularly vulnerable, especially seniors and people with various disabilities. In recent years, various initiatives and works have been undertaken on the European scene to define the directions in which the development and use of artificial intelligence should go. According to the human-centric approach, artificial intelligence should (...) be developed, used and monitored with people in mind, their needs and rights. It is artificial intelligence that should adapt to the rules set by people, not the other way around. The source of all human rights and freedoms is respect for human dignity. This is evidenced by numerous European, international, national regulations and documents. Respecting this value is also one of the works on the AI development. One of the areas of our life into which AI enters more and more boldly and which in the near future, due to demographic reasons and aging population, may be almost dominated by modern technologies, is the medical and care system. The usefulness of industrial co-robots made us think about the possibility of using similar devices in the non-industrial sphere, including in the sphere of care, nursing and therapy. Actually, despite the impressive development of technology and AI, intelligent robots/devices used for care, nursing or therapy (so-called care/nursing or therapy robots) perform rather simple activities. They provide information, navigate, bring something and give it (e.g. medicines, food), help to get up. They are an important support for medical staff in this respect. Performing tasks that are more complex in terms of technology and movement, such as feeding, washing, intimate hygiene, dressing or undressing, is still beyond the reach of the currently used robots. The question we must ask ourselves is whether, in the future, care robots will be able to perform such tasks, and should they do so? Will this lead to the replacement of human medical personnel in the performance of the above-mentioned activities with such robots. Would anyone want to be "looked after" by a soulless machine? Should potential wards/patients, in other words all of us in fact, have the right to object to being taken into the care of an intelligent robot? There is no doubt that intelligent robots have great potential, especially when it comes to ensuring or maintaining the independence or mobility of people with various health limitations. However, we must not forget about the risks and dangers they may generate. Even a simple robot generates serious legal and ethical problems. Who should be liable for damage caused in connection with improper care performed with the participation of a robot? Robots based on AI systems are able to collect a significant amount of sensitive data, for example through the face and speech recognition function. There is considerable scope for abuse in this area, not only in terms of personal data protection but also in terms of informational self-determination, privacy and dignity. Bearing in mind the above risks, the creation of a new right to object to being looked after by a robot should be considered. (shrink)

The book lays out a comprehensive professional ethics for criminal intelligence professionals, focusing on personal responsibility and the moral obligation by the state to build sufficient capacity in criminal intelligence operatives to make competent moral decisions while using discretion.

This book explores how the design, construction, and use of robotics technology may affect today's legal systems and, more particularly, matters of responsibility and agency in criminal law, contractual obligations, and torts. By distinguishing between the behaviour of robots as tools of human interaction, and robots as proper agents in the legal arena, jurists will have to address a new generation of "hard cases." General disagreement may concern immunity in criminal law (e.g., the employment of robot soldiers in (...) battle), personal accountability for certain robots in contracts (e.g., robo-traders), much as clauses of strict liability and negligence-based responsibility in extra-contractual obligations (e.g., service robots in tort law). Since robots are here to stay, the aim of the law should be to wisely govern our mutual relationships. (shrink)

Criminal intelligence data poses problems for conventional database technology. It has little structure or homogeneity and queries may involve looking for unknown associations between entities; such open-ended queries cannot be made in current systems. Finally, the data must be presented in an intuitively simple fashion for both investigative and evidential purposes. We discuss a database system which uses a labelled graph as its data model. This approach obviates the need for schema design, allows queries which look for associations (...) between entities to be implemented and provides the basis for a natural visual representation of the data. (shrink)

This article aims at proposing the construct of living and working together in organizations as an interpretation and tool proposed in a Juvenile Criminal Mediation Service, in order to highlight how important it was as a turning point in activating the working group's reflexive function as far as their sense of belonging, otherness, culture of diversity, and work subject matter are concerned and start an important transformation process in the very service delivery. Our proposal finds its roots (...) in a follow-up experience regarding the aforementioned service, which has been taking place for almost three years. It was structured in three different phases: a research phase evaluating process and results of the activity that was carried out; a phase of monitoring the mediation practice; a research-action phase in a clinical perspective on the working group's operating mode. The leverage of living and working together in organizations is specifically proposed as far as this last working phase is concerned, las... (shrink)

To effectively improve the efficiency of international service design talent training and make it more in line with society's needs, we analyze the current status of international service design talent training and its professional training focus. Based on the above problems, from the perspective of cognitive psychology, artificial intelligence and human–computer interaction technology are used to construct the international service design talent training mode of the HCI intelligent service robot. This mode can be used to (...) solve the existing teaching problems by using novel means to ensure the quality of teaching. Finally, through the actual analysis of teaching cases, the effectiveness of the proposed talent training mode is verified. The HCI system is based on knowledge of cognitive psychology. According to the characteristics and functions of an educational robot, the robot is combined with traditional teaching activities, and the robot-assisted talent training mode is designed. Robot-assisted talent training is a feasible training method that can improve the efficiency of talent training. Students have confidence in their learning skills before the course, and the confidence is further strengthened after the end of the course. After the course, the students have a stronger sense of cooperation. This study can provide theoretical ideas for the research of international service talent training mode. (shrink)

The progress of social economy has created a better environment for the healthy development of young people, but the heavy schoolwork and life pressure have caused many students to ignore the scientific management of physical health. At this stage, people need a scientific physical health service system to help students understand their own health data, propose targeted exercise methods and health knowledge, and actively encourage and guide students to participate in physical exercise. The purpose of this article is to (...) cultivate students’ good self-exercise awareness and improve their physical fitness and health. To this end, this article has designed a smart health service system for young people. This article introduces the various service functions in the health management service system and explains in detail the entry, induction, and analysis of student physical health data in the system. The essence of the health intelligent service system is to provide students with targeted healthy exercise strategies through data analysis. This paper studies the health intervention plan of the health intelligent service system. From the experimental data, the improved particle swarm algorithm in this paper increases the effectiveness of the system in adolescent health data mining from 80.5% to 92.19%, which undoubtedly optimizes the system. It helps a lot. (shrink)

Artificial intelligence is increasingly permeating many types of high-stake societal decision-making such as the work at the criminal courts. Various types of algorithmic tools have already been introduced into sentencing. This article concerns the use of algorithms designed to deliver sentence recommendations. More precisely, it is considered how one should determine whether one type of sentencing algorithm (e.g., a model based on machine learning) would be ethically preferable to another type of sentencing algorithm (e.g., a model based on (...) old-fashioned programming). Whether the implementation of sentencing algorithms is ethically desirable obviously depends upon various questions. For instance, some of the traditional issues that have received considerable attention are algorithmic biases and lack of transparency. However, the purpose of this article is to direct attention to a further challenge that has not yet been considered in the discussion of sentencing algorithms. That is, even if is assumed that the traditional challenges concerning biases, transparency, and cost-efficiency have all been solved or proven insubstantial, there will be a further serious challenge associated with the comparison of sentencing algorithms; namely, that we do not yet possess an ethically plausible and applicable criterion for assessing how well sentencing algorithms are performing. (shrink)

In this contribution we will explore some of the implications of the vision of Ambient Intelligence (AmI) for law and legal philosophy. AmI creates an environment that monitors and anticipates human behaviour with the aim of customised adaptation of the environment to a person’s inferred preferences. Such an environment depends on distributed human and non-human intelligence that raises a host of unsettling questions around causality, subjectivity, agency and (criminal) liability. After discussing the vision of AmI we will (...) present relevant research in the field of philosophy of technology, inspired by the post-phenomenological position taken by Don Ihde and the constructivist realism of Bruno Latour. We will posit the need to conceptualise technological normativity in comparison with legal normativity, claiming that this is necessary to develop democratic accountability for the implications of emerging technologies like AmI. Lastly we will investigate to what extent technological devices and infrastructures can and should be used to achieve compliance with the criminal law, and we will discuss some of the implications of non-human distributed intelligence for criminal liability. (shrink)

This study contributes to the constantly accumulating evidence on the effects of customer incivility (CI) on service employee exhaustion. Previous research has demonstrated that surface acting (SA) acts as a mediating variable in the relationship between CI and exhaustion. This study extended prior findings in two ways. The results of Study 1 (315 retail sales employees, 62.2% female) demonstrated that SA mediates the positive relationship between CI and exhaustion while controlling for employees’ trait positive and negative affectivity (NA). The (...) results of Study 2 (292 customer service representatives, 51% female) supported a moderated mediation model demonstrating that trait emotional intelligence (EI) buffers the direct and indirect (through SA) effects of CI on exhaustion. Specifically, it was found that employees exposed to many uncivil customer behaviors but high in trait EI reported using less SA and, thus, experienced fewer exhaustion symptoms than their low in trait EI counterparts. These results highlight EI as an important personal resource that mitigates the adverse effects of CI on service employees’ exhaustion, and suggest that organizations should consider implementing EI training programmes for their frontline service employees. (shrink)

It has recently been suggested that philosophy – in particular epistemology – has a contribution to make to the analysis of criminal and military intelligence. The present article pursues this suggestion, taking three phenomena that have recently been studied by philosophers, and showing that they have important implications for the gathering and sharing of intelligence, and for the use of intelligence in the determining of military strategy. The phenomena discussed are: (1) Simpson's Paradox, (2) the distinction (...) between resiliency and reliability of data, and (3) the Causal Markov Condition. (shrink)

Traditionally, most of the research on occupational burnout has focused on organizational stressors, such as workload and time pressure, and has overlooked the emotional nature of customer service work and its effect on burnout. This study was designed to examine the effects of individuals’ affective traits and affective states on burnout. The main hypothesis of this study was that emotional intelligence acts as a moderator in the relationship between negative emotions felt by employees during their interactions with clients (...) and emotional exhaustion. A total of 137 service sector employees rated the extent to which they felt four positive emotions and four negative emotions while interacting with clients. The results indicated that negative affectivity was significantly associated with higher levels of emotional exhaustion, whereas high positive affectivity showed the reverse pattern. It was also observed that employees who declared greater intensity of negative emotions reported more symptoms of emotional exhaustion. However, as predicted, this effect was observed only among employees who were low in the trait of emotional intelligence. Negative emotions and emotional exhaustion were unrelated among employees who were high in trait emotional intelligence. (shrink)

Legal professionals in Malawi rely on a limited number of textbooks, outdated law reports and inadequate library services. Most documents available are in image form, are un-structured, i.e. contain no useful legal meta-data, summaries, keynotes, and do not support a system of citation that is essential to legal research. While advances in document processing and machine learning have benefited many fields, legal research is still only marginally affected. In this interdisciplinary research, the authors build semi-automatic tools for creating a corpus (...) of Malawi criminal law decisions annotated with legal meta-data, case and law citations. We used this corpus to extract legal meta-data, including law and case citations as used in Malawi by employing machine learning tools, spaCy and Gensim LDA. We set the foundation for a new methodology for classifying Malawi criminal case law according to the recently introduced International Classification of Crime for Statistical Purposes (ICCS). (shrink)

The topic of the impact of artificial intelligence on law, the legal profession and legal culture, in general, has not yet been sufficiently discussed in the Croatian scientific community. This paper aims to encourage a more comprehensive analysis of the relationship between the increasing use of artificial intelligence in our daily lives and the specifics of practising the legal profession in such an environment. Artificial intelligence is still a broad and heterogeneous field. It is therefore justified to (...) ask the question: Which of the many technologies currently being developed can be applied in the field of law? Which legal matters can be “entrusted” to the new technologies? To answer such and similar questions, it is necessary to have an excellent knowledge of both artificial intelligence and the law, as well as the areas in which they intersect. We have chosen criminal law, which is a part of public law and the ultimate social mechanism for responding to undesirable behaviour, as our object of study. We pay particular attention to its two important aspects: the element of culpability in a criminal offence and the possibility of autonomous decision-making in criminal law. The reflections have shown that Croatian criminal law may have the ability and potential to adapt to the challenges of artificial intelligence when it comes to culpability. On the other hand, the necessity and value of artificially intelligent decisions are questionable given the fundamental characteristics of criminal law. In conclusion, the authors express a departure from views of artificial intelligence as a decision-making substitute in criminal law but support the view that artificially intelligent legal technologies are an aid to decision-making. (shrink)

Family health education is a must for every family, so that children can be taught how to protect their own health. However, in this era of artificial intelligence, many technical operations based on artificial intelligence are born, so the purpose of this study is to apply artificial intelligence technology to family health education. This paper proposes a fusion of artificial intelligence and IoT technologies. Based on the characteristics of artificial intelligence technology, it combines ZigBee technology (...) and RFID technology in the Internet of Things technology to design an artificial intelligence-based service system. Then it designs the theme of family health education by conducting a questionnaire on students’ family education and analyzing the results of the questionnaire. And it designs database and performance analysis experiments to improve the artificial intelligence-based family health education public service system designed in this paper. Finally, a comparative experiment between the family health education public service system based on artificial intelligence and the traditional health education method will be carried out. The experimental results show that the family health education public service system based on artificial intelligence has improved by 21.74% compared with the traditional family health education method; compared with the traditional family health education method, the health education effect of the family health education public service system based on artificial intelligence has increased by 13.89%. (shrink)

This article explores Academic Service Learning as a teaching method which bridges the gap between academic requirements for learning and the need of society to have individuals willing to give their time and effort to benefit others in need. Students as part of a course learning requirement engaged in a consulting project whereby a non-profit organization was advised on both short term and long term planning. Students were exposed to the operational needs of the organization as well as the (...) dependency of the needy on their services. A pre- and post- survey was administered which focused on any perceived changes in Emotional Intelligence experienced by the students upon completion of the project. The results indicated that student’s EI was affected by the learning project in terms of how they feel about themselves and their overall effort levels. (shrink)

The amazing rise of digital currency is not only favored by investors but also attractive to lawbreakers for its anonymity and decentralization. This paper mainly discusses the intelligent digital currency and dynamic coding service system based on Internet of Things technology. In this paper, the RDCAR algorithm is used to realize the routing discovery process of the wireless network. When the intermediate node receives the RREQ message, first of all, to avoid the loop, it checks whether the same RREQ (...) message has been introduced. If it has received it, it will discard it. Otherwise, it will cache the message and attach its own neighbor node list to the signal-to-noise ratio of the channel link, update the RREQ message, and broadcast it. The payment cipher is managed by the bank. When the user opens an account, the bank registers and sends it to the user. The key is generated by the algorithm chip, and the public key is kept in the bank background server. When the bill is delivered to the bank, the bank inputs all the elements on the bill on the counter terminal and transmits it to the verification machine for verification through the bank network. If the verification is correct, it indicates that the bill is indeed issued by the customer, and all bill elements are correct, and payment can be made. The node operation protocol of public chain and alliance chain maintains the operation of the Internet of Things system. The nodes of alliance chain generate new blocks according to the interval of 30 s. When the node fails to complete the block generation within 30 s, it will rotate to the next node. The mkfile command is used to generate 16b, 1 KB, 1 MB, and 1 GB files as input. The peak speed of the encoding service system is about 370 mb/s. The results show that the system designed in this study is robust and suitable for complex trading environment. (shrink)

Criminalization is a form of social marginalization that is little appreciated as a determinant of poor health. Criminalization can be understood in at least two ways — in the narrow sense as the imposition of criminal penalties for a certain behavior, and more broadly as the conferral of a criminalized status on all individuals in the population, whether proven guilty of a specific offense or not. Both criminal penalties and criminalized status threaten the mental and physical health of (...) these populations in many ways. Incarceration, abandonment by families and communities, social disdain, physical abuse, discrimination, and relentless fear undermine their ability to enjoy their right to the highest attainable standard of health goods and services. Understanding the social determinants of health in these populations and formulating programs to address them have rarely been high priorities in national or international policy. (shrink)

Traditional notions of crime control often position the police against an individual, known or not yet known, who is responsible for the commission of a crime. However, with increasingly sophisticated technology, policing increasingly prioritizes the prevention of crime, making it necessary to ascertain who, or what class of persons, may be the next likely criminal before a crime can be committed, termed predictive policing. This causes a shift from individualized suspicion toward predictive profiling that may sway the expectations of (...) a police patrol. Classically, where a patrol officer forms reasonable suspicion prior to a stop, it is based upon his/her analysis of the situation taken as a whole in context. However, where a predictive profile is employed, information available to the officer accordingly adjusts his/her perception of context and affects the application of the reasonable suspicion standard. This article addresses the way in which new approaches to forming reasonable suspicion affect the due process protection of individuals’ fundamental rights. It argues that while an officer still operates with good faith discretion, using predictive profiling causes reasonable suspicion to be based on an augmented understanding of reality and as a result, due process guarantees are weakened. The rights to non-discrimination and the presumption of innocence are assessed and argued as illustrative of this weakening and shift in policing standards. The article ultimately argues that while predictive policing cannot be categorically labeled as inconsistent with criminal justice, changes as seemingly moderate as the manner in which discretion operates have larger effects on individuals’ rights. (shrink)

This paper seeks to contribute to the field of transitional justice by adding new insights about the role that trials of victimizers can play within democratization processes. The main argument is that criminal proceedings affirming the value of equal respect and concern for both victims and abusers can contribute to the socialization of citizens’ politically relevant emotions. More precisely, using law constructively to engage public resentment and indignation can be successful to the extent that legality is not sacrificed. In (...) order to locate this argument within the rich literature on the pedagogical functions of transitional trials this paper enters a dialogue with three emblematic texts. Lawrence Douglas’s narrative jurisprudence approach, Judith Shklar’s critique of the limits of legalism, and Marc Osiel’s interest in ‘discursive solidarity’ represent starting points for a more complex conceptualization of the relationship between democracy, law and emotional education within transformational periods. (shrink)

In September 2020, Helsinki and Amsterdam announced the launch of their open AI registers—the first cities in the world to offer such a service. The AI registers describe what, where, and how AI applications are being used in the two municipalities; how algorithms were assessed for potential bias or risks; and how humans use the AI services. Examining issues of security and transparency, this paper discusses the potential for implementing AI in an urban public service setting and how (...) this might be harnessed to improve services and citizens’ experiences. -/- . (shrink)

It is often thought that traditional recidivism prediction tools used in criminal sentencing, though biased in many ways, can straightforwardly avoid one particularly pernicious type of bias: direct racial discrimination. They can avoid this by excluding race from the list of variables employed to predict recidivism. A similar approach could be taken to the design of newer, machine learning-based (ML) tools for predicting recidivism: information about race could be withheld from the ML tool during its training phase, ensuring that (...) the resulting predictive model does not use race as an explicit predictor. However, if race is correlated with measured recidivism in the training data, the ML tool may ‘learn’ a perfect proxy for race. If such a proxy is found, the exclusion of race would do nothing to weaken the correlation between risk (mis)classifications and race. Is this a problem? We argue that, on some explanations of the wrongness of discrimination, it is. On these explanations, the use of an ML tool that perfectly proxies race would (likely) be more wrong than the use of a traditional tool that imperfectly proxies race. Indeed, on some views, use of a perfect proxy for race is plausibly as wrong as explicit racial profiling. We end by drawing out four implications of our arguments. (shrink)

Purpose The purpose of this study is to examine public perceptions and attitudes toward using artificial intelligence (AI) in the US criminal justice system. Design/methodology/approach The authors took a quantitative approach and administered an online survey using the Amazon Mechanical Turk platform. The instrument was developed by integrating prior literature to create multiple scales for measuring public perceptions and attitudes. Findings The findings suggest that despite the various attempts, there are still significant perceptions of sociodemographic bias in the (...) criminal justice system and technology alone cannot alleviate them. However, AI can assist judges in making fairer and more objective decisions by using triangulation – offering additional data points to offset individual biases. Social implications Other scholars can build upon the findings and extend the work to shed more light on some problems of growing concern for society – bias and inequality in criminal sentencing. AI can be a valuable tool to assist judges in the decision-making process by offering diverse viewpoints. Furthermore, the authors bridge the gap between the fields of technology and criminal justice and demonstrate how the two can be successfully integrated for the benefit of society. Originality/value To the best of the authors’ knowledge, this is among the first studies to examine a complex societal problem like the introduction of technology in a high-stakes environment – the US criminal justice system. Understanding how AI is perceived by society is necessary to develop more transparent and unbiased algorithms for assisting judges in making fair and equitable sentencing decisions. In addition, the authors developed and validated a new scale that can be used to further examine this novel approach to criminal sentencing in the future. (shrink)

Artificial intelligence (AI) will drastically change the healthcare system. Radiology is one speciality that is most affected as AI algorithms are increasingly used in diagnostic imaging. AI‐enhanced health technologies will, inter alia, increase workflow efficiency, improve diagnostic accuracy, reduce healthcare‐related costs, and help alleviate medical personnel shortages in under‐resourced settings. However, the development of AI‐enhanced technologies in healthcare is fraught with legal, ethical, and human rights concerns. Currently, the use of AI in South African healthcare is not governed by (...) sui generis legislation or ethical guidance focused exclusively and specifically on AI, although various provisions and principles from law and ethics find application. This article outlines these normative principles and explains their relationship with the extant legal obligations and regulatory framework as applied to the use of AI in radiology services in South Africa. The article concludes with three key recommendations for radiology practitioners using AI in South Africa. These are the need for: vigilant monitoring of AI use in practice, reforms to the liability framework, and appropriate guidance from local regulators and the Health Professions Council of South Africa on the ethical use of AI. (shrink)

A higher level of intelligence can improve adolescents’ interactions with intelligent online services, although overemphasizing intelligent online services may nullify their sense of autonomy and in turn affect their acceptance intention. Enterprises have therefore focused on the best ways through which to provide intelligent online services. Based on the technology acceptance model, this study constructs a theoretical model of the impact of perceived control and power on adolescents’ acceptance intention of intelligent services. Through a scenario experiment involving an intelligent (...) online recommendation service, 195 participants were obtained to test the model. The results show that the adolescents’ perceived control affects their acceptance intention of intelligent online services through their perceived usefulness. The adolescents’ sense of power moderates the influence of perceived control on perceived usefulness. This study supplements the research on intelligent online services and provides a reference for online merchants seeking to design such service processes. (shrink)

Public sector institutions are increasingly investing resources in data collection and data analytics to provide better public services at lower cost, to anticipate demand for services, to identify high-risk groups, and to develop targeted interventions. Prior research has shown that the media shape understanding of the possibilities of technology and creates related expectations. In this article we explore how artificial intelligence and emerging data-driven technologies are made familiar and by whose voices they are talked about in the media. Empirically, (...) we explore communication materials and media coverage from the joint AI experiment between the City of Espoo and Tieto Corporation in 2017–18. In this experiment, Tieto Corporation combined customer data from the City of Espoo’s social and health care and early childhood education from 2002–2016 and analysed this data using artificial intelligence methods. Theoretically, we draw on the tradition of the social construction of technology and especially its branch that focuses on the domestication of technologies. The results show that the means of narration used by the media – repetition and highlighting the voice of the representatives of the institutional actors involved in the AI experiment – strengthen the agency and interests of the parties involved as well as their visibility in the media, while reducing the space for possible critical discussion. We argue that this way, AI is made familiar and acceptable to citizens and in public services in Finland. (shrink)

This book starts from the proposition that the field of intelligence lacks any systematic ethical review, and then develops a framework based on the notion of harm and the establishment of Just Intelligence Principles. As the professional practice of intelligence collection adapts to the changing environment of the twenty-first century, many academic experts and intelligence professionals have called for a coherent ethical framework that outlines exactly when, by what means and to what ends intelligence is (...) justified. Recent controversies, including reports of abuse at Guantanamo Bay and Abu Ghraib, allegations of extraordinary rendition programmes and the ever-increasing pervasiveness of the ‘surveillance state’, have all raised concerns regarding the role of intelligence in society. As a result, there is increased debate regarding the question of whether or not intelligence collection can be carried out ethically. _The Ethics of Intelligence_ tackles this question by creating an ethical framework specifically designed for intelligence that is capable of outlining under what circumstances, if any, different intelligence collection activities are ethically permissible. The book examines three of the main collection disciplines in the field of intelligence studies: imagery intelligence, signals intelligence and human intelligence. By applying the ethical framework established at the beginning of the book to these three important intelligence collection disciplines, it is possible to better understand the ethical framework while also demonstrating its real-life applicability. This book will be of much interest to students of intelligence studies, ethics, war and conflict studies, security studies and IR. (shrink)

Social service organizations have long used data in their efforts to support people in need for the purposes of advocacy, tracking, and intervention. Increasingly, such organizations are joining forces to provide wrap-around services to clients in order to “move the needle” on intractable social problems. Groups using these strategies, called Collective Impact, develop shared metrics to guide their work, sharing data, finances, infrastructure, and services. A major emphasis of these efforts is on tracking clients and measuring impacts. This study (...) explores a particular type of Collective Impact strategy called Promise Neighborhoods. Based on a federal grant program, these initiatives attempt to close the achievement gap in particular geographic communities. Through an analysis of publicly available documents and information, the study analyzes the ways these strategies enact a collective intelligence for the common good. The analysis focuses specifically on issues surrounding data collection and use, youth agency, leadership and governance, and funding streams. Together, these foci develop a story of an increasingly used “intelligence” with a limited sense of “collective” and a narrow vision of a “common good.” Using this as a platform, the paper explores alternatives that might develop more robust practices around these concepts. (shrink)

This study evaluated how call center agents manage their emotions when interacting with customers with different emotional states. The coping mechanisms employees develop through experience can impact their communication and satisfaction with customer service. A study was conducted using a descriptive-correlational design in three Business Process Outsourcing companies in Cebu City, Philippines. The study aimed to determine employees' agreement and effectiveness in self-awareness, self-management, social awareness, and relationship management. An online sample size calculator was used to gather data, and (...) 150 respondents were chosen out of 243 call center agents. The data was analyzed using simple frequency, percentage, weighted mean, and ANOVA type III. The study indicates that age is crucial in the respondents' self-management (F ratio= 3,146, p= .412). This suggests that BPO employees become better at managing themselves as they get older. Additionally, the study respondents' monthly income significantly impacts their social awareness level (F ratio= 5,144, p= .040). This means that those with higher incomes tend to have greater social awareness than those with lower incomes. The BPO industry should prioritize candidates with high emotional intelligence during hiring. They can better adapt to the fast-paced work environment. Graveyard shift workers should receive higher wages and benefits. Employees should attend workshops on management, leadership, and emotional intelligence. Annual team-building events should also be considered for a positive work environment. (shrink)

The World Wide Web (Web) provides access to a global space of information assets and computational services. It also, however, serves as a platform for social interaction (e.g., Facebook) and participatory involvement in all manner of online tasks and activities (e.g., Wikipedia). There is a sense, therefore, that the advent of the Social Web has transformed our understanding of the Web. In addition to viewing the Web as a form of information repository, we are now able to view the Web (...) in more social terms. In particular, it has become possible to see the Web as providing access to the human social environment. This is important, because issues of social embedding and social interaction have been seen to contribute to the emergence of human cognitive capabilities. The ability of the Web to provide access to the human social environment thus raises an important question: Can humanity play a productive role in the emergence of advanced forms of machine intelligence by virtue of their interactions and engagements with the online realm? The present paper attempts to show why this question is worth asking. It also attempts to highlight some of the ways in which Web-based forms of contact with the human social environment may be relevant to research into machine intelligence. (shrink)

Artificial Intelligence research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI technologies to facilitate criminal acts, term in this chapter AI-Crime. AIC is theoretically feasible thanks to published experiments in automating fraud targeted at social media users, as well as demonstrations of AI-driven manipulation of simulated markets. However, because AIC is still a relatively young (...) and inherently interdisciplinary area—spanning socio-legal studies to formal science—there is little certainty of what an AIC future might look like. This chapter offers the first systematic, interdisciplinary literature analysis of the foreseeable threats of AIC, providing ethicists, policy-makers, and law enforcement organisations with a synthesis of the current problems, and a possible solution space. (shrink)

In this article, I ask whether the state, as opposed to its individual members, can intelligibly and legitimately be criminalized, with a focus on the possibility of its domestic criminalization. I proceed by identifying what I take to be the core objections to such criminalization, and then investigate ways in which they can be challenged. First, I address the claim that the state is not a kind of entity that can intelligibly perpetrate domestic criminal wrongs. I argue against it (...) by building upon an account of the modern state as a moral agent proper, capable of both culpable moral and legal wrongdoing. I then consider objections to the intelligibility and legitimacy of subjecting states to domestic criminal processes, which primarily find their source in the assumption that such subjection would necessarily involve the state prosecuting, judging, and punishing itself. I argue that whether this (questionable) assumption is sound or not, it does not create the kinds of unsolvable quandaries its exponents think it does. I then move on to reject the distinct, yet related, objection that, at least in aspiring liberal jurisdictions, treating the state as a criminal objectionably involves extending to it various substantive and procedural guarantees that, given its nature and raison d’être, it should not have. Finally, I discuss three central objections to punishing the state. First, that organizations like states do not have the phenomenal consciousness required to suffer punishment. Second, that the constant possibility of dispersion of state punishment amongst individual members stands in the way of its justification. Lastly, that whatever justification there may be for making things harder for the state in response to its culpable wrongdoing, such treatment need not be understood as punishment. While partially conceding the strength of these objections, I strive to loosen their grip in ways that show that justified punishment of the state, meaningfully understood as such, remains a distinct possibility. I conclude by contrasting supposed alternatives to the criminalization of states, and by contending that my analysis leaves us with enough to keep the possibility of state criminalization on the table as a justifiable response to state wrongdoing. (shrink)

Integrated design of financial self-service terminal based on artificial intelligence voice interaction with the rapid development of science and technology, artificial intelligence technology is deepening in the field of intelligence and automation. The financial industry is the lifeblood of a country’s economy, with great growth potential and high growth rate. The integrated design of intelligent financial self-service terminal has become an important topic in the field of rapid development of social economy and science and technology. (...) Therefore, this paper designs the integration of financial self-service terminal based on artificial intelligence voice interaction. First, this paper introduces the meaning and composition of financial self-service terminal integration, then studies the voice interaction principle based on artificial intelligence technology, and designs the integrated structure of financial self-service terminal with voice interaction. After that, this paper makes a series of tests on voice interaction technology, user experience, and the performance of financial self-service terminal. Finally, the test results of voice interaction are as follows: the delay estimation results of voice interaction of the terminal are relatively accurate, and the error points are basically within five sampling points, which indicate that the delay estimation algorithm is practical. The endpoint detection method based on CO complexity can effectively overcome the impact of noise environment on speech endpoint detection system and is suitable for the requirements of robust speech recognition system. Considering that the actual application scenario of voice positioning can judge the speaker’s position and turn to the speaker’s direction during human–computer interaction, the azimuth error is acceptable within a few degrees to meet the application requirements. The direction angle error is acceptable within a few degrees to meet the application requirements. The accuracy of the improved algorithm is improved in intercepting effective speech signals. The terminal has short running time and delay time, small memory, and central processing unit occupation and can meet the needs of users. The speech recognition accuracy of the financial self-service terminal basically reaches more than 80%, which can basically meet the daily needs. (shrink)

Highly sophisticated capabilities of artificial intelligence (AI) have skyrocketed its popularity across many industry sectors globally. The public sector is one of these. Many cities around the world are trying to position themselves as leaders of urban innovation through the development and deployment of AI systems. Likewise, increasing numbers of local government agencies are attempting to utilise AI technologies in their operations to deliver policy and generate efficiencies in highly uncertain and complex urban environments. While the popularity of AI (...) is on the rise in urban policy circles, there is limited understanding and lack of empirical studies on the city manager perceptions concerning urban AI systems. Bridging this gap is the rationale of this study. The methodological approach adopted in this study is twofold. First, the study collects data through semi-structured interviews with city managers from Australia and the US. Then, the study analyses the data using the summative content analysis technique with two data analysis software. The analysis identifies the following themes and generates insights into local government services: AI adoption areas, cautionary areas, challenges, effects, impacts, knowledge basis, plans, preparedness, roadblocks, technologies, deployment timeframes, and usefulness. The study findings inform city managers in their efforts to deploy AI in their local government operations, and offer directions for prospective research. (shrink)

The Intelligent Nation proposes a systemic and radical transformation of the organisation, management, ownership and performance of the services of the state by capitalising on the potential offered by contemporary information capability and fulfilling the rights and obligations both to and of citizens. In this book, John Beckford shows how, by adopting the principles of an intelligent organisation, the state can thrive and meet the needs of its citizens. He proposes a complete rethink of the state as the enabler or (...) provider of public services. In particular, he points to the failure of the public sector to significantly emulate the massive gains in productivity and customer focus experienced in both manufacturing and services (e.g. finance, retailing, insurance). Governance and all public services must be redesigned to align to the contemporary needs of the citizen and exploit the power of information to enable a transformation of their effectiveness, redefine efficiency, and support human-based services in crucial areas. Each chapter provides the key learning points, a discussion of the problem in theory and practice, integrated case studies, and discussion points. Written in an accessible style, the book provides thought-provoking supplemental reading for masters and undergraduate students reading organization theory, organization development, political science, public administration, healthcare, information systems, and business and management science. (shrink)

In the digital age, the use of advanced technology is becoming a new paradigm in police work, criminal justice, and the penal system. Algorithms promise to predict delinquent behaviour, identify potentially dangerous persons, and support crime investigation. Algorithm-based applications are often deployed in this context, laying the groundwork for a ‘smart criminal justice’. In this qualitative study based on 32 interviews with criminal justice and police officials, we explore the reasons why and extent to which such a (...) smart criminal justice system has already been established in Switzerland, and the benefits perceived by users. Drawing upon this research, we address the spread, application, technical background, institutional implementation, and psychological aspects of the use of algorithms in the criminal justice system. We find that the Swiss criminal justice system is already significantly shaped by algorithms, a change motivated by political expectations and demands for efficiency. Until now, algorithms have only been used at a low level of automation and technical complexity and the levels of benefit perceived vary. This study also identifies the need for critical evaluation and research-based optimization of the implementation of advanced technology. Societal implications, as well as the legal foundations of the use of algorithms, are often insufficiently taken into account. By discussing the main challenges to and issues with algorithm use in this field, this work lays the foundation for further research and debate regarding how to guarantee that ‘smart’ criminal justice is actually carried out smartly. (shrink)

Ambient Intelligence provides the potential for vast and varied applications, bringing with it both promise and peril. The development of Ambient Intelligence applications poses a number of ethical and legal concerns. Mobile devices are increasingly evolving into tools to orientate in and interact with the environment, thus introducing a user-centric approach to Ambient Intelligence. The MINAmI (Micro-Nano integrated platform for transverse Ambient Intelligence applications) FP6 research project aims at creating core technologies for mobile device based Ambient (...) Intelligence services. In this paper we assess five scenarios that demonstrate forthcoming MINAmI-based applications focusing on healthcare, assistive technology, homecare, and everyday life in general. A legal and ethical analysis of the scenarios is conducted, which reveals various conflicting interests. The paper concludes with some thoughts on drafting ethical guidelines for Ambient Intelligence applications. (shrink)

Artificial intelligence research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI technologies to facilitate criminal acts, term in this article AI-Crime. AIC is theoretically feasible thanks to published experiments in automating fraud targeted at social media users, as well as demonstrations of AI-driven manipulation of simulated markets. However, because AIC is still a relatively young (...) and inherently interdisciplinary area—spanning socio-legal studies to formal science—there is little certainty of what an AIC future might look like. This article offers the first systematic, interdisciplinary literature analysis of the foreseeable threats of AIC, providing ethicists, policy-makers, and law enforcement organisations with a synthesis of the current problems, and a possible solution space. (shrink)

The paper sets out the challenges facing the Police in respect of the detection and prevention of the volume crime of burglary. A discussion of data mining and decision support technologies that have the potential to address these issues is undertaken and illustrated with reference the authors’ work with three Police Services. The focus is upon the use of “soft” forensic evidence which refers to modus operandi and the temporal and geographical features of the crime, rather than “hard” evidence such (...) as DNA or fingerprint evidence. Three objectives underpin this paper. First, given the continuing expansion of forensic computing and its role in the emergent discipline of Crime Science, it is timely to present a review of existing methodologies and research. Second, it is important to extract some practical lessons concerning the application of computer science within this forensic domain. Finally, from the lessons to date, a set of conclusions will be advanced, including the need for multidisciplinary input to guide further developments in the design of such systems. The objectives are achieved by first considering the task performed by the intended systems users. The discussion proceeds by identifying the portions of these tasks for which automation would be both beneficial and feasible. The knowledge discovery from databases process is then described, starting with an examination of the data that police collect and the reasons for storing it. The discussion progresses to the development of crime matching and predictive knowledge which are operationalised in decision support software. The paper concludes by arguing that computer science technologies which can support criminal investigations are wide ranging and include geographical information systems displays, clustering and link analysis algorithms and the more complex use of data mining technology for profiling crimes or offenders and matching and predicting crimes. We also argue that knowledge from disciplines such as forensic psychology, criminology and statistics are essential to the efficient design of operationally valid systems. (shrink)

Today, open source intelligence (OSINT), i.e., information derived from publicly available sources, makes up between 80 and 90 percent of all intelligence activities carried out by Law Enforcement Agencies (LEAs) and intelligence services in the West. Developments in data mining, machine learning, visual forensics and, most importantly, the growing computing power available for commercial use, have enabled OSINT practitioners to speed up, and sometimes even automate, intelligence collection and analysis, obtaining more accurate results more quickly. As (...) the infosphere expands to accommodate ever-increasing online presence, so does the pool of actionable OSINT. These developments raise important concerns in terms of governance, ethical, legal, and social implications (GELSI). New and crucial oversight concerns emerge alongside standard privacy concerns, as some of the more advanced data analysis tools require little to no supervision. This article offers a systematic review of the relevant literature. It analyzes 571 publications to assess the current state of the literature on the use of AI-powered OSINT (and the development of OSINT software) as it relates to the GELSI framework, highlighting potential gaps and suggesting new research directions. (shrink)

In 2022, the Camden Coalition Medical-Legal Partnership began providing civil and criminal legal services to substance use disorder patients at Cooper University Health Care’s Center for Healing. This paper discusses early findings from the program’s first year on the efficacy of the provision of criminal-legal representation, which is uncommon among MLPs and critical for this patient population. The paper concludes with takeaways for other programs providing legal services in an addiction medicine setting.