Professional ethics is one of the important topics, which includes various rights such as respecting the patient’s right to choose, being useful, being harmless, and respecting the justice, integrity, and confidentiality of information. Adherence to these principles can increase the quality of care and patient satisfaction. Since determining the current attitude of students towards ethics plays an important role in educational programs, this study was conducted to evaluate the attitude of nursing and midwifery students of Kermanshah University of Medical Sciences (...) towards six principles of professional ethics. In this cross-sectional study, 76 undergraduate nursing and midwifery students were selected to participate in this study by census method. The data collection tool was a valid and reliable questionnaire on the principles of medical ethics. Data were analyzed using descriptive and inferential statistics. The study sample consisted of 49 nursing and 27 midwifery students with an average age of 23 ± 1.4 years. The mean score of nursing and midwifery students’ attitude towards medical ethics was 95.01 ± 4.8 in basis of 100, and was 94.56 ± 4.9 for nursing students and 96.04 ± 4.7 for midwifery students. Majority of the samples had positive attitude towards medical ethics and 3.73% had a relatively positive attitude. No statistically significant relationship was found between the attitude of students and variables of gender, field of study, marital status, and age. All students in this study had a positive attitude towards the principles of medical ethics, and this is a valuable asset for clinical environments. To increase the generalizability of the study, further studies with bigger sample size on the students of various disciplines of medical sciences is recommended. (shrink)

Personal Information Management Systems (PIMS) aim to facilitate the sharing of personal information and protect privacy. Efforts to enhance privacy management, aligned with established privacy policies, have led to guidelines for integrating transparent notices and meaningful choices within these systems. Although discussions have revolved around the design of privacy-friendly systems that comply with legal requirements, there has been relatively limited philosophical discourse on incorporating the value of privacy into these systems. Exploring the connection between privacy and personal autonomy illuminates the (...) instrumental value of privacy and highlights the importance of intentionally embedding the value of privacy into these systems. To translate the value of privacy into concrete design requirements, this study constructs a values hierarchy consisting of values, norms, and design requirements. After analyzing the relationships between privacy and autonomy and identifying norms, the design requirements translated from the norms associated with the components of personal autonomy are specified at the lowest layer. These requirements include a design to prevent unauthorized access and dark patterns and to provide effective and efficient notices and choices. The findings contribute to expanding the requirements for designing the aspect of privacy as a legal requirement to incorporate the value of privacy into systems. (shrink)

This dissertation consists of five chapters, each written as independent research papers that are unified by an overarching concern regarding information privacy and machine learning-based artificial intelligence (AI). This dissertation addresses the issues concerning privacy and AI by responding to the following three main research questions (RQs): RQ1. ‘How does an AI system affect privacy?’; RQ2. ‘How effectively does the General Data Protection Regulation (GDPR) assess and address privacy issues concerning both individuals and groups?’; and RQ3. ‘How can the value (...) of privacy be embedded into systems?’ -/- To respond to the RQs, this dissertation adopts the privacy impact assessment (PIA) as the overall methodology. A PIA encompasses three distinct stages; the first, the analytical stage, concerns the analysis of how AI (particularly focusing on inference as a process that includes inferred information, AI models’ performance, and accessing information uncovered by AI models) impacts privacy. Second, the legal assessment stage concerns whether AI that processes personal information and develops models complies with the GDPR. Finally, the design requirements stage features proposals for design requirements for systems aimed at protecting privacy. Accordingly, this dissertation is structured in three parts, each corresponding to a specific stage of a PIA and responding to one of the RQs. -/- Part I, which addresses the first stage of the PIA, comprises three chapters that altogether respond to RQ1. Chapter 2 analyses how AI impacts the descriptive aspect of privacy; this part argues that AI challenges the current definitions of privacy and that the ‘source control’ and ‘actual access’ definitions of privacy, once revised in the face of counter-examples involving inferred information, converge. Chapter 3, which considers how AI impacts the normative aspect of privacy, particularly the value of privacy, argues that AI affects the social value of privacy, which depends on trust, as this dimension of privacy is constituted when AI models perform accurately. Chapter 4 examines how AI impacts the normative aspect of privacy, particularly the right to privacy, and it argues that, although accessing information uncovered by AI models raises concerns about the privacy of algorithmically designed groups, the right to privacy cannot be recognised for such groups. This is the disruptive feature of AI that has led to consideration of new approaches other than the traditional one, which involves recognising the right to privacy, to protect the privacy of these groups. Instead of recognising the right to privacy for algorithmically designed groups, this chapter suggests taking a moral principle for the moral obligation of protecting vulnerable groups within an ethics of vulnerability. -/- Part II concerns the second stage of the PIA and consists of one chapter that responds to RQ2. Chapter 5, in addition to evaluating whether AI that processes personal information and develops models complies with the GDPR, also assesses whether the GDPR adequately addresses the privacy issues raised by AI. It specifically focuses on group privacy and argues that GDPR has limitations in protecting the privacy of algorithmically designed groups and that the privacy of such vulnerable entities must be considered in the context of privacy and data protection. -/- Part III, which is related to the third stage of the PIA, also consists of one chapter that responds to RQ3. Chapter 6 proposes design requirements to protect privacy by integrating privacy into systems and argues that privacy is instrumentally valuable for the sake of autonomy. Accordingly, to embed the value of privacy into systems, design requirements are articulated through the translation of norms that promote and protect autonomy. (shrink)

News about personal data breaches or data abusive practices, such as Cambridge Analytica, has questioned the trustworthiness of certain actors in the control of personal data. Innovations in the field of personal information management systems to address this issue have regained traction in recent years, also coinciding with the emergence of new decentralized technologies. However, only with ethically and legally responsible developments will the mistakes of the past be avoided. This contribution explores how current data management schemes are insufficient to (...) adequately safeguard data subjects, and in particular, it focuses on making these data flows transparent to provide an adequate level of accountability. To showcase this, and with the goal of enhancing transparency to foster trust, this paper investigates solutions for standardizing machine-readable policies to express personal data processing activities and their application to decentralized personal data stores as an example of ethical, legal, and technical responsible innovation in this field. (shrink)

An issue about the privacy of the clustered groups designed by algorithms arises when attempts are made to access certain pieces of information about those groups that would likely be used to harm them. Therefore, limitations must be imposed regarding accessing such information about clustered groups. In the discourse on group privacy, it is argued that the right to privacy of such groups should be recognised to respect group privacy, protecting clustered groups against discrimination. According to this viewpoint, this right (...) places a duty on others, for example, private companies, institutions, and governments, to refrain from accessing such information. To defend the idea that the right to privacy should be recognised for clustered groups, at least two requirements must be satisfied. First, clustered group privacy must be conceived of as either a collective good or a participatory good. Since these forms of good are of the type from which no member of a group can be excluded from benefiting, the right to them is defined as a group right. Second, there must be group interests on which to base a group right. Group interests can be either the interests of those members that are a result of their being in the group or the interests of the group as a whole that transcend the interests of its members. However, this paper argues that clustered group privacy cannot be conceived of as either a collective or a participatory good because it is possible for some individuals to be excluded from benefiting from it. Furthermore, due to the lack of awareness among individuals that they are members of a clustered group and the nature of a clustered group itself, such groups cannot have the group interests necessary to establish a group right. Hence, the group right to privacy cannot be recognised for these groups, implying that the group right cannot be considered a means to protect clustered groups against discrimination. Instead, this paper suggests that moral principles need to be articulated within an ethics of vulnerability to identify the moral obligations of protecting vulnerable clustered groups. The duty owed to the vulnerable should involve refraining from accessing certain information about clustered groups in specific contexts. This duty is not engendered by the right to privacy of such groups; it is the duty owed to the vulnerable. The findings highlight the need to articulate moral principles regarding privacy and data protection to protect clustered groups in contexts in which accessing information about them could constitute a reason for discriminatory targeting. (shrink)

This research explores how a person with whom information has been shared and, importantly, an artificial intelligence (AI) system used to deduce information from the shared data contribute to making the disclosure context private. The study posits that private contexts are constituted by the interactions of individuals in the social context of intersubjectivity based on trust. Hence, to make the context private, the person who is the trustee (i.e., with whom information has been shared) must fulfil trust norms. According to (...) the commitment account of trustworthiness, a person is trustworthy only if they satisfy the norm of competence. It is argued that a person using an AI system to answer a question is competent only if they are ex post justified in believing what has been delivered by the AI system. A person’s belief is justified in the doxastic sense only if the AI system is accurate. This feature of AI’s performance affects a person’s competence and, as a result, trustworthiness. The effect of AI on trust as an essential component of making the context private, and thus on privacy, means an AI system also impacts privacy. Therefore, a private context is constituted when the individual with whom the information is shared fulfils the competence norm and the AI system used for analysing the information is sufficiently accurate to adhere to this norm. The result of this research emphasises the significance of the relationship between individuals involved in information-sharing and how an AI system used for analysing that information impacts the relationship regarding making the context private, as well as how it impacts privacy. The findings of this research have significant implications for improving or ameliorating privacy regulations in light of trust. (shrink)

To differentiate between the laws of nature and accidental generalizations, we must adopt a view of necessity that is capable of being realized in relationships existing among natural objects. In neo-Sadraian Islamic philosophy, metaphysical necessity is accepted as part of the cause-effect relationship. This paper compares the neo-Sadraian interpretation of necessity and necessitarian theories about the laws of nature, particularly essentialism and universal theory. By resorting to specific forms al-shûrat al-naw’iyyah, the origin of the essential properties of natural objects, I (...) argue that neo-Sadraians have proposed a perspective on metaphysical necessity that is epistemologically a posteriori. (shrink)

Digital data help data scientists and epidemiologists track and predict outbreaks of disease. Mobile phone GPS data, social media data, or other forms of information updates such as the progress of epidemics are used by epidemiologists to recognize disease spread among specific groups of people. Targeting groups as potential carriers of a disease, rather than addressing individuals as patients, risks causing harm to groups. While there are rules and obligations at the level of the individual, we have to reach a (...) stage in the development of data analytics where groups are protected as entities. This chapter offers a deeper examination of harms to the groups. (shrink)

Respecting privacy and patients’ satisfaction are amongst the main indicators of quality of care and one of the basic goals of health services. This study, carried out in 2007, aimed to investigate the extent to which patient privacy is observed and its correlation with patient satisfaction in three emergency departments of Tehran University of Medical Science, Iran. Questionnaire data were collected from a convenience sample of 360 patients admitted to emergency departments and analysed using SPSS software. The results indicated that, (...) according to 50.6% of the patients, the extent to which their privacy was respected was described as either ‘weak’ or ‘average’. Spearman’s coefficient indicated a significant correlation between respecting privacy and the patients’ satisfaction about the various aspects of privacy studied. Considering the levels of privacy observed together with the patients’ degree of satisfaction, it is imperative that clinical professionals address both aspects from conceptual and practical viewpoints. (shrink)

In this paper, it is argued that, when properly revised in the face of counter-examples, the source control and actual access views of privacy are extensionally equivalent but different in their underlying rationales. In this sense, the source control view and the actual access view, when properly modified to meet counter-examples, can be metaphorically compared to ‘climbing the same mountain but from different sides’ (as Parfit [1] has argued about normative theories). These two views can equally apply to the privacy (...) debates and, thus, resolve a long-standing debate in the literature. (shrink)

Training nurses on spiritual principles and values helps to stimulate moral imagery and a deep understanding of moral problems in them. However, spirituality issue was not included in ethical educa...

In this chapter, Macnish and Asgarinia introduce current thinking and debate around issues of privacy as these relate to the media. Starting with controversies over the definition of privacy, they consider what the content of privacy should be and why it is we consider privacy to be valuable. This latter includes the social implications of privacy and the only recently-recognised concept of group privacy, contrasting it with individual privacy, as well as legal implications arising through laws such as the European (...) Union’s General Data Protection Regulation, concerning the collection of personal data and data subjects’ rights. Finally they turn to specific instances of privacy consideration in the media. These include: -/- The use of telephoto lenses to take pictures of celebrities at a distance without those celebrities’ permission (and the related question as to what is a reasonable expectation of privacy when in a public place); -/- Sharing information on social media (and the related question of whether those who share their data on social networking sites care about their privacy), as well as the availability of data online to research, even though that data has not always been posted for the purposes of research; -/- The challenges posed by anonymity online, including the trade-off between free expression and offensive expression; -/- Hacking and the meaning of fishing expeditions as a practice by the media and exploring what, if anything, is wrong with these; -/- The implications of invading the privacy of politicians, both as a defence of democracy and as a threat to democracy. (shrink)

While there is little doubt that Algeria was of enormous importance to the theoretical output that is often recognized as French, here I would like to ask: what is at stake in re-inscribing these French intellectuals as postcolonial? In what ways did the particularities of Algerian history impact French philosophy? Indeed, if the term postcolonial is meant to describe those who were influenced by events in Algeria, then an entire generation of French thinkers might be considered postcolonial to varying degrees. (...) Surely Derrida’s oeuvre was influenced by his experiences in Algeria, but does this make him postcolonial in the same way as Jean-Paul Sartre or Pierre Bourideu, who have also become important figures in postcolonial theory? . (shrink)

Modeling dynamic networks has attracted much interest in recent years, which helps understand networks’ behavior. Many works have been dedicated to modeling discrete-time networks, but less work is done for continuous-time networks. Point processes as powerful tools for modeling discrete events in continuous time have been widely used for modeling events over networks and their dynamics. These models have solid mathematical assumptions, making them interpretable but decreasing their generalizability for different datasets. Hence, neural point processes were introduced that don’t have (...) strong assumptions on generative functions. However, these models can be impractical in the case of a large number of event types. This research presents a comparative study of different point process models for continuous-time networks. Furthermore, a previously introduced neural point process model is applied for modeling network interactions. In this work, network clustering is used for specifying interaction types. These methods are compared using different synthetic and real-world datasets, and their efficiency is evaluated on these datasets. The experiments represent that each model is appropriate for a group of datasets. In addition, the effect of clustering on results is discussed, and experiments for different clusters are presented. (shrink)

Order picking, which is collecting a set of products from different locations in a warehouse, has repeatedly been described as one of the most laborious and time-consuming internal logistic processes. Each order is issued to pick some products located at given locations in the warehouse. In this paper, we consider an order picking problem, in which a number of orders with different delivery due dates are going to be retrieved by a limited number of order pickers in multiperiods such that (...) the total tardiness is minimized. The aim is to determine a retrieval plan in terms of order batching and order picker multitrip routing as decision variables. Besides, products are arrived and replenished at the predetermined locations at different periods. Therefore, products sitting in those locations should be delivered soon to provide empty rooms for replenishment. A mixed integer linear programming formulation is proposed for this new problem. The model is optimally solved for small-size problems. For larger instances, grouping metaheuristic algorithms are proposed based on particle swarm optimization and the league championship algorithm that use group-based operators to generate reasonable batches of orders. Improvement heuristics are designed as well. The performance of the MILP formulation and metaheuristic algorithms is analyzed for different problem instances whose designs are based on real data gathered from an auto parts warehouse. Results indicate that our algorithms can stably solve large instances of the problem in a reasonable time. (shrink)

One can love and not forgive or out of love decide not to forgive. Or one can forgive but not love, or choose to forgive but not love the ones forgiven. Love and forgiveness follow parallel and largely independent paths, a truth we fail to acknowledge when we pressure others to both love and forgive. Individuals in conflict, sparring social and ethnic groups, warring religious communities, and insecure nations often do not need to pursue love and forgiveness to achieve peace (...) of mind and heart. They need to remain attentive to the needs of others, an alertness that prompts either love or forgiveness to respond. By reorienting our perception of these enduring phenomena, the contributors to this volume inspire new applications for love and forgiveness in an increasingly globalized and no longer quite secular world. With contributions by the renowned French philosophers Jacques Derrida and Jean-Luc Marion, the poet Haleh Liza Gafori, and scholars of religion, psychoanalysis, Islamic and political philosophy, and the Bible and literature, this anthology reconstructs the historical and conceptual lineage of love and forgiveness and their fraught relationship over time. By examining how we have used--and misused--these concepts, the authors advance a better understanding of their ability to unite different individuals and emerging groups around a shared engagement for freedom and equality, peace and solidarity. (shrink)