Purpose The purpose of this paper is to defend the notion of “trust in technology” against the philosophical view that this concept is misled and unsuitable for ethical evaluation. In contrast, it is shown that “trustworthy technology” addresses a critical societal need in the digital age as it is inclusive of IT-security risks not only from a technical but also from a public layperson perspective. Design/methodology/approach From an interdisciplinary perspective between philosophy andIT-security, the authors discuss a potential (...) instantiation of a “trustworthy information and communication technology ”: a solution for privacy respecting video surveillance. Here, strong data protection measures address grave concerns such as the threat of bulk biometric tracking of citizens. In a logical argument, however, the authors show that this technical notion of “trust” needs to be complemented by interlocking trust relations to justify public trust. Findings Based on this argument, the authors demonstrate that the philosophical position considering “trust in technology” to denote either “reliability” or “interpersonal trust” is too limited as it fails to address critical aspects of IT-security. In a broader, socio-technical sense, however, it is shown that several distinct accounts of trust – technical, interpersonal and institutional – should meaningfully interlock, to address concerns with ICTs. Originality/value This conceptual study demonstrates the potential of “trust in technology” for a more comprehensive evaluation of ICTs within the context of operation. Furthermore, it adds to the discussion of trust in IT-security by highlighting the layperson’s challenge of judging a technology’s trustworthiness. Vice versa, it contributes to Ethics of Technology by highlighting crucial IT-security needs. (shrink)

Technology is a practically indispensible means for satisfying one’s basic interests in all central areas of human life including nutrition, habitation, health care, entertainment, transportation, and social interaction. It is impossible for any one person, even a well-trained scientist or engineer, to know enough about how technology works in these different areas to make a calculated choice about whether to rely on the vast majority of the technologies she/he in fact relies upon. Yet, there are substantial risks, uncertainties, (...) and unforeseen practical consequences associated with the use of technological artifacts and systems. The salience of technological failure (both catastrophic and mundane), as well as technology’s sometimes unforeseeable influence on our behavior, makes it relevant to wonder whether we are really justified as individuals in our practical reliance on technology. Of course, even if we are not justified, we might nonetheless continue in our technological reliance, since the alternatives might not be attractive or feasible. In this chapter I argue that a conception of trust in technological artifacts and systems is plausible and helps us understand what is at stake philosophically in our reliance on technology. Such an account also helps us understand the relationship between trust and technological risk and the ethical obligations of those who design, manufacture, and deploy technological artifacts. (shrink)

This paper sets out an account of trust in AI as a relationship between clinicians, AI applications, and AI practitioners in which AI is given discretionary authority over medical questions by clinicians. Compared to other accounts in recent literature, this account more adequately explains the normative commitments created by practitioners when inviting clinicians’ trust in AI. To avoid committing to an account of trust in AI applications themselves, I sketch a reductive view on which discretionary authority is (...) exercised by AI practitioners through the vehicle of an AI application. I conclude with four critical questions based on the discretionary account to determine if trust in particular AI applications is sound, and a brief discussion of the possibility that the main roles of the physician could be replaced by AI. (shrink)

The increasing use of artificial intelligence (AI) systems in our daily life through various applications, services, and products explains the significance of trust/distrust in AI from a user perspective. AI-driven systems have significantly diffused into various fields of our lives, serving as beneficial tools used by human agents. These systems are also evolving to act as co-assistants or semi-agents in specific domains, potentially influencing human thought, decision-making, and agency. Trust/distrust in AI plays the role of a regulator and (...) could significantly control the level of this diffusion, as trust can increase, and distrust may reduce the rate of adoption of AI. Recently, varieties of studies have paid attention to the variant dimension of trust/distrust in AI, and its relevant considerations. In this systematic literature review, after conceptualization of trust in the current AI literature review, we will investigate trust in different types of human-Machine interaction, and its impact on technology acceptance in different domains. In addition to that, we propose a taxonomy of technical (i.e., safety, accuracy, robustness) and non-technical axiological (i.e., ethical, legal, and mixed) trustworthiness metrics, and some trustworthy measurements. Moreover, we examine some major trust-breakers in AI (e.g., autonomy and dignity threat), and trust makers; and propose some future directions and probable solutions for the transition to a trustworthy AI. (shrink)

Engineers are traditionally regarded as trustworthy professionals who meet exacting standards. In this chapter I begin by explicating our trust relationship towards engineers, arguing that it is a linear but indirect relationship in which engineers “stand behind” the artifacts and technological systems that we rely on directly. The chapter goes on to explain how this relationship has become more complex as engineers have taken on two additional aims: the aim of social engineering to create and steer trust between (...) people, and the aim of creating automated systems that take over human tasks and are meant to invite the trust of those who rely on and interact with them. (shrink)

It is easier to talk frankly to a person whom one trusts. It is also easier to agree with a scientist whom one trusts. Even though in both cases the psychological state that underlies the behavior is called ‘trust’, it is controversial whether it is a token of the same psychological type. Trust can serve an affective, epistemic, or other social function, and comes to interact with other psychological states in a variety of ways. The way that the (...) functional role of trust changes across contexts and objects is further complicated when communities and individuals mediate it through technologies, and even more so when that mediation involves artificial intelligence (AI) and machine learning (ML). In this chapter I look at the ways in which trust in institutions, and specifically the medical profession, is affected by the use of AI and ML. There are two key elements of this analysis. The first is a disanalogy between institutional trust in medicine and institutional trust in science (Irzik and Kurtulmus 2021, 2019; Kitcher 2001). I note that as AI and ML become a more prominent part of medicine, trust in a medical institution becomes more like trust in a scientific institution. This is problematic for institutional trust in medicine and the practice of medicine, since institutional trust in science has been undermined by, among other things, the spread of misinformation online and the replication crisis (Romero 2019). There is also a strong analogy between the psychological state of the person who trusts a scientific report or testimony and the psychological state of a patient who trusts individual recommendations made by a medical professional in a clinical setting. In both cases, institutional trust makes it less likely that a mistake or malfeasance will result in reactive attitudes, such as blame or anger, directed at other individual members of that institution. However, it also renders people vulnerable enough to blame the institution itself. This, with time, can erode trust in the institution and naturally leads to policy recommendations that aim to preserve institutional trust. I survey two ways in which that can be done with institutional trust in medicine in the age of AI and ML. (shrink)

Complex technology has become an essential aspect of everyday life. We rely on technology as part of basic infrastructure and repeatedly for tasks throughout the day. Yet, in many cases the relation surpasses mere reliance and evolves to trust in technology. A new, disruptive technology is blockchain. It claims to introduce trustless relationships among its users, aiming to eliminate the need for trust altogether—even being described as “the trust machine”. This paper presents a (...) proposal to adjust the concept of trust in blockchain applications with the tools provided by conceptual engineering. Its goal is to propose a concept of trust, that offers more than a halo term, devoid of the normative depth that the original, philosophical term actually carries. To evaluate possible concepts of trust in blockchain applications, five criteria are proposed: These criteria ensure that the conceptual relation indeed embodies trust, thereby being richer than mere reliance, and that the chosen concept highlights the active role of the trustor. While the concepts of trust in engineers and trust in algorithms have to be discarded, institutional trust emerges as a viable candidate, given some refinements. Ultimately, the concept of trust by normative expectations and attribution is suggested to capture the essence of trust in blockchain applications. (shrink)

Artificial intelligence (AI) is expected to revolutionise the practice of medicine. Recent advancements in the field of deep learning have demonstrated success in variety of clinical tasks: detecting diabetic retinopathy from images, predicting hospital readmissions, aiding in the discovery of new drugs, etc. AI’s progress in medicine, however, has led to concerns regarding the potential effects of this technology on relationships of trust in clinical practice. In this paper, I will argue that there is merit to these concerns, (...) since AI systems can be relied on, and are capable of reliability, but cannot be trusted, and are not capable of trustworthiness. Insofar as patients are required to rely on AI systems for their medical decision-making, there is potential for this to produce a deficit of trust in relationships in clinical practice. (shrink)

Collaborative filtering is being used within organizations and in community contexts for knowledge management and decision support as well as the facilitation of interactions among individuals. This article analyzes rhetorical and technical efforts to establish trust in the constructions of individual opinions, reputations, and tastes provided by these systems. These initiatives have some important parallels with early efforts to support quantitative opinion polling and construct the notion of “public opinion.” The article explores specific ways to increase trust in (...) these systems, albeit a “guarded trust” in which individuals actively seek information about system foibles and analyze the reputations of participants. (shrink)

Expert knowledge regularly informs personal and civic-decision making. To decide which experts to trust, lay publics —including policymakers and experts from other domains—use different epistemic and non-epistemic cues. Epistemic cues such as honesty, like when experts are forthcoming about conflicts of interest, are a popular way of understanding how people evaluate and decide which experts to trust. However, many other epistemic cues, like the evidence supporting information from experts, are inaccessible to lay publics. Therefore, lay publics simultaneously use (...) second-order social cues in their environment to inform decisions to trust. These second-order social cues, or ‘social indicators of trust’, prevent lay publics from having to trust blindly. Social indicators of trust therefore inform lay publics’ epistemic vigilance, or constant low level-monitoring of testimony from experts. This special issue examines the nature, acquisition and application of social indicators of trust for scientific experts and institutions. It also raises questions about the types of trust asked of lay publics and challenges traditional normative assumptions about the relationship between science and lay publics through study of attitudes, values, and experiences. The issue descriptively re-examines the structure of institutions, their role and methods for ferrying information, as well as how social indicators operate in times of crisis. In this collection of works, we bridge history, science, philosophy of science, science and technology studies, science communication and social epistemology, to broaden the discourse on trust in experts and more accurately reflect the imperfect yet indispensable endeavour that trusting is. (shrink)

Purpose – Contemporary technology has been implicated in the rise of perfectionism, a personality trait that is associated with depression, suicide and other ills. is paper explores how technology can be developed to promote an alternative to perfectionism, which is a self- constructionist ethic. Design/methodology/approach – is paper takes the form of a philosophical discussion. A conceptual framework is developed by connecting the literature on perfectionism and personal meaning with discussions in information ethics on the self, the ontic (...) trust and technologies of the self. To illustrate these themes, the example of selfies and self-portraits is discussed. Findings – e self today must be understood as both individualistic and relational, i.e., hybrid; the trouble is balance. To realize balance, the self should be recognized as part of the ontic trust to which all information organisms and objects belong. us technologically-mediated self-care takes on a deeper urgency. e selfie is one example of a technology for self-care that has gone astray (i.e., lost some of its care-conducive aspects), but this can be remedied if selfie-making technology incorporates relevant aspects of self-portraiture. is example provides a path for developing self- constructionist and meaningful technologies more generally. Practical implications – Technology development should proceed with self-care and meaning in mind. e comparison of selfies and self-portraits, situated historically and theoretically, provides some guidance in this regard. Some specific avenues for development are presented. Originality/value – e question of the self has not been much discussed in information ethics. is paper links the self to the ontic trust: the self can be fruitfully understood as an agent within the ontic trust to which we all belong. (shrink)

Abstract: Adoption of digital system becomes an innovative revolution to replace the tradition work into scientific means. Electronic government is the use of technology in which particular wireless based application sustains the provision of online interconnectivity in the way to convey a speedy service delivery and materialize an easy accessibility of users via government portal. Moreover, the vitality of e-government has been recognized in the contemporary era of science and technology across the world. The chief aim of this (...) study to represent a literature of an electronic government use in a conceptual means in which proposed determinants as PEOU, PU, TIEG, SI, and ITU envisage the intention of the users’ online services of government in a Pakistan perspective. In the existing literature all constructs of the proposed model possess an effect on the intention to use e - government and the theoretical approach encompasses the TAM and UTAUT model to assist the technological adopti on of the employee's use of the innovative system in an organization. However, Pakistan has been ranked low in the e-government development index that seems the backwardness of the e-government adaptation in the country that is recognized as the dire need to be adjusted with public sectors to sustain an effective and efficient service delivery. It seems the poor literacy rate an d financial constraints are serious obstacles for adopting e-government technology in the working atmosphere of the diverse public sector organizations. Keywords: Electronic government, Perceived usefulness, Obstacles, Recommendations, Intention to use. (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)

According to most accounts of trust, you can only trust other people (or groups of people). To trust is to think that another has goodwill, or something to that effect. I sketch a different form of trust: the unquestioning attitude. What it is to trust, in this sense, is to settle one’s mind about something, to stop questioning it. To trust is to rely on a resource while suspending deliberation over its reliability. Trust (...) lowers the barrier of monitoring, challenging, checking, and questioning. Trust sets up open pipelines between yourself and parts of the external world. Trust permits external resources to have a similar relationship to one as one’s internal cognitive faculties. This creates efficiency, but at the price of exquisite vulnerability. We must trust in this way because we are cognitively limited beings in a cognitively overwhelming world. Crucially, we can hold the unquestioning attitude towards objects and technologies. When I trust my climbing rope, I stop worrying about its reliability. When I trust my online calendaring system, I simply go to the events indicated, without question. But, one might worry, how could one ever hold such a normatively loaded attitude as trust towards mere objects? How could it ever make sense to feel betrayed by an object? Trust is our engine for expanding and outsourcing our agency — for binding external processes into our practical selves. Thus, we can be betrayed by our smartphones in the same way that we can be betrayed by our memory. When we trust, we try to make something a part of our agency, and we are betrayed when our part lets us down. To unquestioningly trust something is to let it in—to attempt to bring it inside one’s practical functioning. This suggests a new form of gullibility: agential gullibility, which occurs when agents too hastily and carelessly integrate external resources into their own agency. (shrink)

In this paper, I examine the ethics of e - trust and e - trustworthiness in the context of health care, looking at direct computer-patient interfaces (DCPIs), information systems that provide medical information, diagnosis, advice, consenting and/or treatment directly to patients without clinicians as intermediaries. Designers, manufacturers and deployers of such systems have an ethical obligation to provide evidence of their trustworthiness to users. My argument for this claim is based on evidentialism about trust and trustworthiness: the idea (...) that trust should be based on sound evidence of trustworthiness. Evidence of trustworthiness is a broader notion than one might suppose, including not just information about the risks and performance of the system, but also interactional and context-based information. I suggest some sources of evidence in this broader sense that make it plausible that designers, manufacturers and deployers of DCPIs can provide evidence to users that is cognitively simple, easy to communicate, yet rationally connected with actual trustworthiness. (shrink)

This chapter explores properties that bind individuals, knowledge, and communities, together. Section ‎‎1 introduces Hardwig’s argument from trust in others’ testimonies as entailing that trust is the glue ‎that binds individuals into communities. Section 2 asks “what grounds trust?” by exploring assessment ‎of collaborators’ explanatory responsiveness, formal indicators such as affiliation and credibility, ‎appreciation of peers’ tacit knowledge, game-theoretical considerations, and the role moral character ‎of peers, social biases, and social values play in grounding trust. Section (...) 3 deals with establishing ‎reliability standards for formation and breaching of trust. Different epistemic considerations and their ‎underpinning of inductive risks are examined through various communication routes within a ‎discipline, between disciplines, and to the public. Section 4 examines whether a collective entity can ‎be trusted over and above trust that is given to its individual members. Section 5 deals with the roles ‎technological artifacts play in distributed research and collective knowledge. It presents the common ‎view in which genuine trust cannot, in principle, be accorded to artifacts, so as an opposite view. We ‎show that what counts as a genuine object of trust is relevant to debates about the boundaries of ‎collective agency and as a criterion for extended cognitive systems.‎. (shrink)

Background The worldwide increase in older persons demands technological solutions to combat the shortage of caregiving and to enable aging in place. Smart home health technologies (SHHTs) are promoted and implemented as a possible solution from an economic and practical perspective. However, ethical considerations are equally important and need to be investigated. Methods We conducted a systematic review according to the PRISMA guidelines to investigate if and how ethical questions are discussed in the field of SHHTs in caregiving for older (...) persons. Results 156 peer-reviewed articles published in English, German and French were retrieved and analyzed across 10 electronic databases. Using narrative analysis, 7 ethical categories were mapped: privacy, autonomy, responsibility, human vs. artificial interactions, trust, ageism and stigma, and other concerns. Conclusion The findings of our systematic review show the (lack of) ethical consideration when it comes to the development and implementation of SHHTs for older persons. Our analysis is useful to promote careful ethical consideration when carrying out technology development, research and deployment to care for older persons. Registration We registered our systematic review in the PROSPERO network under CRD42021248543. (shrink)

The modern global technological landscape is shaped by rapid advances and interconnectivity, leading to a complex ecosystem of innovation, competition and collaboration. Significant developments are being seen in artificial intelligence, telecommunications, biotechnology and energy technologies. Digitalization is redefining industries such as healthcare, transport and finance, while cross-border data flows and 5G infrastructure are accelerating global connectivity. Key players such as the United States, China and Japan are investing heavily in research and development, pushing the capabilities of AI and quantum computing (...) further. These nations have adopted strategic initiatives to increase their technological self-confidence and ensure that their companies remain at the forefront of innovation. The European Union is positioned as a distinct player in the global technological landscape, aiming to stimulate innovation while ensuring trust, privacy and sustainability. By leveraging its regulatory power, investing in digital infrastructure and increasing collaboration between Member States, the EU is seeking to increase its strategic autonomy and competitiveness in the face of rapid technological change. Romania has seen significant development in its technology sector over the past two decades. Driven by a combination of government support, a well-educated workforce and strategic positioning within the European Union, Romania is increasingly making its mark on the technology scene. This study provides an overview of current global technology trends and the state of technology resources in the European Union and in Romania in particular, analyzing the strengths and weaknesses of the sector and highlighting the opportunities and challenges ahead. (shrink)

Higher education institutions are mining and analyzing student data to effect educational, political, and managerial outcomes. Done under the banner of “learning analytics,” this work can—and often does—surface sensitive data and information about, inter alia, a student’s demographics, academic performance, offline and online movements, physical fitness, mental wellbeing, and social network. With these data, institutions and third parties are able to describe student life, predict future behaviors, and intervene to address academic or other barriers to student success (however defined). Learning (...) analytics, consequently, raise serious issues concerning student privacy, autonomy, and the appropriate flow of student data. We argue that issues around privacy lead to valid questions about the degree to which students should trust their institution to use learning analytics data and other artifacts (algorithms, predictive scores) with their interests in mind. We argue that higher education institutions are paradigms of information fiduciaries. As such, colleges and universities have a special responsibility to their students. In this article, we use the information fiduciary concept to analyze cases when learning analytics violate an institution’s responsibility to its students. (shrink)

Western societies are experiencing a crisis of trust: we no longer enjoy high levels of confidence in social institutions and are increasingly skeptical of those holding positions of authority. The crisis of trust, however, seems paradoxical: at the same time we report greater feelings of mistrust or an erosion of trust in institutions and technologies we increasingly entrust our wellbeing and security to these very same technologies and institutions. Analyzing trust not only will help resolve the (...) paradox but suggests that the crisis entails normative expectations linked to collective identity, and as such, trust can be understood as a public virtue. (shrink)

Can trust evolve on the Internet between virtual strangers? Recently, Pettit answered this question in the negative. Focusing on trust in the sense of ‘dynamic, interactive, and trusting’ reliance on other people, he distinguishes between two forms of trust: primary trust rests on the belief that the other is trustworthy, while the more subtle secondary kind of trust is premised on the belief that the other cherishes one’s esteem, and will, therefore, reply to an act (...) of trust in kind (‘trust-responsiveness’). Based on this theory Pettit argues that trust between virtual strangers is impossible: they lack all evidence about one another, which prevents the imputation of trustworthiness and renders the reliance on trust-responsiveness ridiculous. I argue that this argument is flawed, both empirically and theoretically. In several virtual communities amazing acts of trust between pure virtuals have been observed. I propose that these can be explained as follows. On the one hand, social cues, reputation, reliance on third parties, and participation in (quasi-) institutions allow imputing trustworthiness to varying degrees. On the other, precisely trust-responsiveness is also relied upon, as a necessary supplement to primary trust. In virtual markets, esteem as a fair trader is coveted while it contributes to building up one’s reputation. In task groups, a hyperactive style of action may be adopted which amounts to assuming (not: inferring) trust. Trustors expect that their virtual co-workers will reply in kind while such an approach is to be considered the most appropriate in cyberspace. In non-task groups, finally, members often display intimacies while they are confident someone else ‘out there’ will return them. This is facilitated by the one-to-many, asynchronous mode of communication within mailing lists. (shrink)

This paper discusses the epistemology of the Internet of Things [IoT] by focusing on the topic of trust. It presents various frameworks of trust, and argues that the ethical framework of trust is what constitutes our responsibility to reveal desired norms and standards and embed them in other frameworks of trust. The first section briefly presents the IoT and scrutinizes the scarce philosophical work that has been done on this subject so far. The second section suggests (...) that the field of epistemology is not sufficiently capable of dealing with technologies, and presents a possible solution to this problem. It is argued that knowledge is not only social phenomena, but also a technological one, and that in order to address epistemological issues in technology, we need to carefully depart from traditional epistemic analysis and form a new approach that is technological (termed here Techno-Epistemology). The third and fourth sections engage in an epistemic analysis of trust by dividing it in to various frameworks. The last section argues that these various frameworks of trust can be understood to form a trustworthy large-scale socio-technological system, emphasizing the place of ethical trust as constituting our commitment to give proper accounts for all of the other frameworks. (shrink)

Few recent developments in information technology have been as hyped as blockchain, the first implementation of which was the cryptocurrency Bitcoin. Such hype furnishes ample reason to be skeptical about the promise of blockchain implementations, but I contend that there’s something to the hype. In particular, I think that certain blockchain implementations, in the right material, social, and political conditions, constitute excellent bases for common knowledge. As a case study, I focus on trust in election outcomes, where the (...) ledger records not financial transactions but vote tallies. I argue that blockchain implementations could foster warranted trust in vote tallies and thereby trust in the democratic process. Finally, I argue that if the promise of blockchain implementations as democratic infrastructure is to be realized, then democracies first need to ensure that these material, social, and political conditions obtain. (shrink)

Trust is the foundation for learning, and we must not allow ignorance of this new technologies, like Generative AI, to disrupt the relationship between students and educators. As a first step, we need to actively engage with AI tools to better understand how they can help us in our work.

Trust is often considered valuable in a broad range of rela- tionships, from professional collaborations to personal part- nerships. This article examines the possibility of trust in a robotic system. By posing the question “can a robot do a trust fall?”, an investigation on the issues embedded in de- signing trusting systems is presented, using methods and per- spectives from philosophy and engineering. Posing such a question helps us understand the physicality and embodiment of trust, as (...) well as the limits and resources of robotics. (shrink)

Authors have written of antitrust’s demise in the face of blockchain technology which, supposedly, achieves the goals of the law, through private ordering, without a need for the law. Most importantly of all, public permissionless blockchains offer the vision of disintermediation – the end of the platform economy troubling many scholars today. At the same time, blockchain technology presents challenges to the doctrine and enforcement of antitrust. Finally, blockchain community governance allows for private ordering of antitrust, i.e., enforcement (...) of rules attempting to protect competition, which are at the same time illegal, not coming from the courts or agencies they constitute competition wrongs themselves. -/- I argue that all three claims are overstated and propose a synthesis of the law and code. The legal doctrine can be modified to tackle the novel technological landscape quite easily, with adoption of novel legal fictions. This is necessary since blockchains – both public and even more so private ones – while ingenious, do not remove a need for the law to protect the market from anti-competitive conduct. Indeed, even public ledgers have power structures allowing for abuse, while private blockchains may, in fact, allow for its proliferation. The law, thus, needs to find a regulatory access point to the ledgers. This is not an easy task: however, cooperation of blockchains with the law, and encoding of antitrust rules on the ledgers themselves, offers a possibility of a reconciliation between the law and the code. At the same time, this lends legitimacy to pro-competitive actions of those cyberspace communities and ensures a preservation of the rule of law. This is the blockchain antitrust synthesis. (shrink)

This special issue of Science and Engineering Ethics is devoted to the ethical, societal and political implications of new and emerging technologies in the area of Human Security. Its aim is to address the wider implications of an altered security landscape. Specifically, and in accordance with SEE’s main area of interest, contributions to this special issue focus on those ethical considerations warranted by scientific and technological advances in the field of human security. This includes, but is not restricted to, issues (...) of privacy and data protection, control, trust, surveillance, authority, and freedom. Papers consider some of the ethical and societal challenges related to new and emerging technologies in the context of the Human Security Doctrine (HSD), as it has been initially formulated by the United Nations Commission on Human Security (UNCHS 2003). The HSD argues for a paradigm shift from understanding security based on tangible assets (e.g., national borders, goo .. (shrink)

In this paper we raise the question whether technological artifacts can properly speaking be trusted or said to be trustworthy. First, we set out some prevalent accounts of trust and trustworthiness and explain how they compare with the engineer’s notion of reliability. We distinguish between pure rational-choice accounts of trust, which do not differ in principle from mere judgments of reliability, and what we call “motivation-attributing” accounts of trust, which attribute specific motivations to trustworthy entities. Then we (...) consider some examples of technological entities that are, at first glance, best suited to serve as the objects of trust: intelligent systems that interact with users, and complex socio-technical systems. We conclude that the motivation-attributing concept of trustworthiness cannot be straightforwardly applied to these entities. Any applicable notion of trustworthy technology would have to depart significantly from the full-blown notion of trustworthiness associated with interpersonal trust. (shrink)

This article explores the potential for “trust in technology” to make a productive conceptual contribution to the ethical evaluation of technology, complementing the concepts of “acceptance” and “acceptability” already established in technology assessment. It shows that for digital technologies in particular, “trust” can better address aspects of security against attacks as it allows to integrate concepts of IT security. Furthermore, “trustworthy technology” allows for a better inclusion of lay perspectives, since rationally justified trust (...) in the sense of risk expectations can be mediated interpersonally by experts. Especially for the evaluation of digital technologies, “trust in technology” can thus bridge a conceptual gap between acceptance and acceptability. (shrink)

Open-content communities that focus on co-creation without requirements for entry have to face the issue of institutional trust in contributors. This research investigates the various ways in which these communities manage this issue. It is shown that communities of open-source software—continue to—rely mainly on hierarchy (reserving write-access for higher echelons), which substitutes (the need for) trust. Encyclopedic communities, though, largely avoid this solution. In the particular case of Wikipedia, which is confronted with persistent vandalism, another arrangement has been (...) pioneered instead. Trust (i.e. full write-access) is ‘backgrounded’ by means of a permanent mobilization of Wikipedians to monitor incoming edits. Computational approaches have been developed for the purpose, yielding both sophisticated monitoring tools that are used by human patrollers, and bots that operate autonomously. Measures of reputation are also under investigation within Wikipedia; their incorporation in monitoring efforts, as an indicator of the trustworthiness of editors, is envisaged. These collective monitoring efforts are interpreted as focusing on avoiding possible damage being inflicted on Wikipedian spaces, thereby being allowed to keep the discretionary powers of editing intact for all users. Further, the essential differences between backgrounding and substituting trust are elaborated. Finally it is argued that the Wikipedian monitoring of new edits, especially by its heavy reliance on computational tools, raises a number of moral questions that need to be answered urgently. (shrink)

This commentary offers a coherent reading of the papers presented in the special issue ‘Exclusion, Engagement, and Empathy: Reflections on Public Participation in Medicine and Technology’. Focusing on intellectual self-trust it adds a further perspective on the harmful epistemic consequences of social exclusion for individual agents in healthcare contexts. In addition to some clarifications regarding the concepts of ‘intellectual self-trust’ and ‘social exclusion’ the commentary also examines in what ways empathy, engagement and participatory sense-making could help to (...) avoid threats to intellectual self-trust that arise form being excluded from participation in communicative practices in the context of healthcare. (shrink)

The increasing sophistication of cyber threats necessitates innovative and proactive cybersecurity measures. This paper explores the latest trends in cybersecurity, focusing on the role of Artificial Intelligence (AI), Zero Trust security, and blockchain technology. A review of the literature highlights significant advancements and persistent challenges, including the security of Internet of Things (IoT) ecosystems and human-centric vulnerabilities. Experiments were conducted to evaluate the efficacy of machine learning-based intrusion detection systems and Zero Trust implementation in a simulated environment. (...) Results demonstrate improved detection rates and reduced insider threat risks. This paper concludes by emphasizing future directions, such as quantum-resistant cryptography and collaborative cybersecurity frameworks, to secure the digital future. (shrink)

Abstract- This study's objective is to examine how people perceive about the technology. Use by public employees via interpreting the intentional approach of users in Pakistan context. The prevailing research inculcates the behavioral constructs such as "perceived usefulness" (PU), " Trust in technology (TIT), "intention to utilize (ITU)," and "perceived ease of use" (PEOU), together with other relevant considerations, affect how an employee feels about their employer's tendency to utilize modern technology in the public sector. TAM (...) and Technology Acceptance Model and the Unified Theory of Acceptance (UTAUT) are to be applied respectively. Use of Technology is to be incorporated into its theoretical underpinnings, both of which are helpful in determining an employee's intent with regard to the usage of e-government services. The proposed conceptual framework model was empirically tested by using a sampling method to collect 243 responses out of a total of 400 survey items that were distributed among public employees. Data were gathered using the suggested survey questions, which analyzed by using SPSS version 24 and included hypothesis tests validated by multiple regressions and pearson's correlation. According to the findings of the research that was conducted, all of the proposed factors have a positive and significant relationship with the dependent construct intention to use (ITU) e-Government.\and the present research also encircled limitation, practical implications and future direction. (shrink)

Algorithm Decision Making (ADM) systems designed to augment or automate human decision-making have the potential to produce better decisions while also freeing up human time and attention for other pursuits. For this potential to be realised, however, algorithmic decisions must be sufficiently aligned with human goals and interests. We take a Principal-Agent (P-A) approach to the questions of ADM alignment and trust. In a broad sense, ADM is beneficial if and only if human principals can trust algorithmic agents (...) to act faithfully on their behalf. This mirrors the challenge of facilitating P-A relationships among humans, but the peculiar nature of human-machine interaction also raises unique issues. The problem of asymmetric information is omnipresent but takes a different form in the context of ADM. Although the decision-making machinery of an algorithmic agent can in principle be laid bare for all to see, the sheer complexity of ADM systems based on deep learning models prevents straightforward monitoring. We draw on literature from economics and political science to argue that the problem of trust in ADM systems should be addressed at the level of institutions. Although the dyadic relationship between human principals and algorithmic agents is our ultimate concern, cooperation at this level must rest against an institutional environment which allows humans to effectively evaluate and choose among algorithmic alternatives. (shrink)

Humans and artificial intelligences (AI) will increasingly participate digitally and physically in conflicts yet there is a lack of trusted communications across agents and platforms. For example, humans in disasters and conflict already use messaging and social media to share information, however, international humanitarian relief organisations treat this information as unverifiable and untrustworthy. AI may reduce the ‘fog-of-war’ and improve outcomes, however current AI implementations are often brittle, have a narrow scope of application and wide ethical risks. Meanwhile, human error (...) causes significant civilian harms even by combatants committed to complying with international humanitarian law. AI offers an opportunity to help reduce the tragedy of war and better deliver humanitarian aid to those who need it. However, to be successful, these systems must be trusted by humans and their information systems, overcoming flawed information flows in conflict and disaster zones that continue to be marked by intermittent communications, poor situation awareness, mistrust and human errors. In this paper, we consider the integration of a communications protocol (the ‘Whiteflag protocol’), distributed ledger technology, and information fusion with artificial intelligence (AI), to improve conflict communications called “Protected Assurance Understanding Situation & Entities” PAUSE. Such a trusted human-AI communication network could provide accountable information exchange regarding protected entities, critical infrastructure; humanitarian signals and status updates for humans and machines in conflicts. Trust-based information fusion provides resource-efficient use of diverse data sources to increase the reliability of reports. AI can be used to catch human mistakes and complement human decision making, while human judgment can direct and override AI recommendations. We examine several case studies for the integration of these technologies into a trusted human-AI network for humanitarian benefit including mapping a conflict zone with civilians and combatants in real time, preparation to avoid incidents and using the network to manage misinformation. (shrink)

This Research Topic focuses on both strengths and weaknesses of social innovation, technological innovation, and health innovation that are increasingly recognized as crucial concepts related to the formulation of responses to the social, health, and environmental challenges. Goals of this Research Topic: (1) to identify and share the best recent practices and innovations related to social, environmental and health policies; (2) to debate on relevant governance modes, management tools as well as evaluation and impact assessment techniques; (3) to discuss dilemmas (...) in the fields of management, financing, designing, implementing, testing, and maintaining the sustainability of innovative models of delivering social, health and care services; and (4) to recognize and analyze social, technological and health innovation that has emerged or has been scaled-up to respond to crisis situations, for example, a pandemic of the COVID-19 coronavirus disease. (shrink)

Using the two cases of the Icelandic Health Sector Database and Russian initiatives in biobanking, the article criticizes the view of narratives and imaginaries as a sufficient and unproblematic means of shaping public understanding of genetics and justifying population-wide projects. Narrative representations of national biobanking engage particular imaginaries that are not bound by the universal normative framework of human rights, promote affective thinking, distract the public from recognizing and discussing tangible ethical and socioeconomic issues, and harm trust in science (...) and technology. In the Icelandic case, the presentation of the project in association with national imaginaries concealed its market identity and could lead to the commodification of biodata. In the Russian case, framing in terms of "genetic sovereignty" and "civilizational code" offers pretexts for state securitization. Adherence to normative framework of human rights and public discussion of genetics in an argumentative and factual mode can counter these trends. (shrink)

This paper analyses the phenomenology and epistemology of chatbots such as ChatGPT and Bard. The computational architecture underpinning these chatbots are large language models (LLMs), which are generative artificial intelligence (AI) systems trained on a massive dataset of text extracted from the Web. We conceptualise these LLMs as multifunctional computational cognitive artifacts, used for various cognitive tasks such as translating, summarizing, answering questions, information-seeking, and much more. Phenomenologically, LLMs can be experienced as a “quasi-other”; when that happens, users anthropomorphise them. (...) For most users, current LLMs are black boxes, i.e., for the most part, they lack data transparency and algorithmic transparency. They can, however, be phenomenologically and informationally transparent, in which case there is an interactional flow. Anthropomorphising and interactional flow can, in some users, create an attitude of (unwarranted) trust towards the output LLMs generate. We conclude this paper by drawing on the epistemology of trust and testimony to examine the epistemic implications of these dimensions. Whilst LLMs generally generate accurate responses, we observe two epistemic pitfalls. Ideally, users should be able to match the level of trust that they place in LLMs to the degree that LLMs are trustworthy. However, both their data and algorithmic opacity and their phenomenological and informational transparency can make it difficult for users to calibrate their trust correctly. The effects of these limitations are twofold: users may adopt unwarranted attitudes of trust towards the outputs of LLMs (which is particularly problematic when LLMs hallucinate), and the trustworthiness of LLMs may be undermined. (shrink)

Summary: Edward Lanphier and colleagues contend that human germline editing is an unethical technology because it could have unpredictable effects on future generations. In our view, such misgivings do not justify their proposed moratorium.

Safe-by-Design (SBD) frameworks for the development of emerging technologies have become an ever more popular means by which scholars argue that transformative emerging technologies can safely incorporate human values. One such popular SBD methodology is called Value Sensitive Design (VSD). A central tenet of this design methodology is to investigate stakeholder values and design those values into technologies during early stage research and development (R&D). To accomplish this, the VSD framework mandates that designers consult the philosophical and ethical literature to (...) best determine how to weigh moral trade-offs. However, the VSD framework also concedes the universalism of moral values, particularly the values of freedom, autonomy, equality trust and privacy justice. This paper argues that the VSD methodology, particularly applied to nano-bio-info-cogno (NBIC) technologies, has an insufficient grounding for the determination of moral values. As such, an exploration of the value-investigations of VSD are deconstructed to illustrate both its strengths and weaknesses. This paper also provides possible modalities for the strengthening of the VSD methodology, particularly through the application of moral imagination and how moral imagination exceed the boundaries of moral intuitions in the development of novel technologies. (shrink)

David Chalmers thinks his iPhone exemplifies the extended mind thesis by meeting the criteria ‎that he and Andy Clark established in their well-known 1998 paper. Andy Clark agrees. We take ‎this proposal seriously, evaluating the case of the GPS-enabled smartphone as a potential mind ‎extender. We argue that the “trust and glue” criteria enumerated by Clark and Chalmers are ‎incompatible with both the epistemic responsibilities that accompany everyday activities and the ‎practices of trust that enable users to discharge (...) them. Prospects for revision of the original ‎criteria are dim. We therefore call for a rejection of the trust criterion and a reevaluation of the ‎extended mind thesis.‎. (shrink)

Following the publication of numerous ethical principles and guidelines, the concept of 'Trustworthy AI' has become widely used. However, several AI ethicists argue against using this concept, often backing their arguments with decades of conceptual analyses made by scholars who studied the concept of trust. In this paper, I describe the historical-philosophical roots of their objection and the premise that trust entails a human quality that technologies lack. Then, I review existing criticisms about 'Trustworthy AI' and the consequence (...) of ignoring these criticisms: if the concept of 'Trustworthy AI' is kept being used, we risk attributing responsibilities to agents who cannot be held responsible, and consequently, deteriorate social structures which regard accountability and liability. Nevertheless, despite suggestions to shift the paradigm from 'Trustworthy AI' to 'Reliable AI', I argue that, realistically, this concept will be kept being used. I end by arguing that, ultimately, AI ethics is also about power, social justice, and scholarly activism. Therefore, I propose that community-driven and social justice-oriented ethicists of AI and trust scholars further focus on (a) democratic aspects of trust formation; and (b) draw attention to critical social aspects highlighted by phenomena of distrust. This way, it will be possible to further reveal shifts in power relations, challenge unfair status quos, and suggest meaningful ways to keep the interests of citizens. (shrink)

Information communications and Technology were introduced into secondary schools with the goal of giving teachers access to information while encouraging their distinctive and innovative techniques for teaching and learning. Teachers become enthusiastic and committed to their work when given demanding tasks that result in positive educational outcomes. However, it is clear that instructors in Kenya continue to fall behind in this area. Without a grasp of leadership behaviors, ICT integration in Kenya remains a phantom. The study aims to evaluate (...) the principal's intellectual stimulation techniques and the empowering use of ICT in teaching and learning in Kenyan public secondary schools. The study used a sequential explanatory mixed method design and focused on 62 school principals chosen through census, 186 teachers, and 372 students selected using a simple random sample process. Data was collected using MLQ-structured questionnaire interviews, document analysis, and checklists. Descriptive analysis was used to explain the patterns in the data and the status of variables, while inferential analysis was used to evaluate the relationship between the variables using regression analysis. The study found a moderately substantial positive correlation between ICT use in school and intellectual stimulation r (108) = 0.534, p < 0.001). It was discovered that principals' actions were a significant predictor of ICT adoption in secondary schools; therefore, principals were recommended to foster a culture of trust among teachers by establishing a welcoming workplace atmosphere. This would encourage instructors to overcome challenges using creative and new approaches, ultimately boosting the usage of ICT in the classroom. (shrink)

The value of testimony as a source of knowledge has been a subject of epistemological debates. The "trust theory of testimony" suggests that human testimony is based on an affective relationship supported by social norms. However, the advent of generative artificial intelligence challenges our understanding of genuine testimony. The concept of "quasi-testimony" seeks to characterize utterances produced by non-human entities that mimic testimony but lack certain fundamental attributes. This article analyzes these issues in depth, exploring philosophical perspectives on testimony (...) and the implications of conversational AI technologies on our epistemic practices. (shrink)

Scientists who engage in science and the scientific endeavor should seek truth with conviction of morals and commitment to ethics. While the number of publications continues to increase, the number of retractions has increased at a faster rate. Journals publish fraudulent research papers despite claims of peer review and adherence to publishing ethics. Nevertheless, appropriate ethical peer review will remain a gatekeeper when selecting research manuscripts in scholarly publishing and approving research applications for grant funding. However, this peer review must (...) become more open, fair, transparent, equitable, and just with new recommendations and guidelines for reproducible and accountable reviews that support and promote fair citation and citational justice. We should engineer this new peer-review process with modern informatics technology and information science to provide and defend better safeguards for truth and integrity, to clarify and maintain the provenance of information and ideas, and to rebuild and restore trust in scholarly research institutions. Indeed, this new approach will be necessary in the current post-truth era to counter the ease and speed with which mis-information, dis-information, anti-information, caco-information, and mal-information spread through the internet, web, news, and social media. The most important question for application of new peer-review methods to these information wars should be ‘Who does what when?’ in support of reproducible and accountable reviews. Who refers to the authors, reviewers, editors, and publishers as participants in the review process. What refers to disclosure of the participants' identities, the material content of author manuscripts and reviewer commentaries, and other communications between authors and reviewers. When refers to tracking the sequential points in time for which disclosure of whose identity, which content, and which communication at which step of the peer-review process for which audience of readers and reviewers. We believe that quality peer review, and peer review of peer review, must be motivated and maintained by elevating their status and prestige to an art and a science. Both peer review itself and peer review analyses of peer reviews should be incentivised by publishing peer reviews as citable references separately from the research report reviewed while crossreferenced and crosslinked to the report reviewed. (shrink)

E-Government refers to the administration of Information and Communication Technologies (ICT) to the procedures and functions of the government with the objective of enhancing the transparency, efficiency and participation of the citizens. E-Government is tough systems that require distribution, protection of privacy and security and collapse of these could result in social and economic costs on a large scale. Many of the available e-government systems like electronic identity system of management (eIDs), websites are established at duplicated databases and servers. An (...) established validation and management system could face a single failure point and the system is prone to Distributed Denial of Service Attacks (DDoS), denial of service attacks (DoS), malware and other cyber attacks. The execution of a privacy preserving and a secure decentralized system is enabled by the block chain technology. Here any third-party organizations do not have any control over the transactions of the Government. With the help of block chain technology, new and existing data are encapsulated within ledger or blocks, which are evenly distributed through the network in an enduring and sustainable way. The privacy and security of information are improved with the help of block chain technology, where distribution and encryption of data are performed through the total network. This analytical paper maps out the analysis of the security in the e-government system, utilizing the block chain technology that provides privacy and security of information and thereby enhancing the trust among the public sector. Qualitative and theoretical analysis is made for the proposed topic and implications of privacy and security of the proposed system is made. (shrink)

This chapter explores the influence of Artificial Intelligence (AI) on digital democracy, focusing on four main areas: citizenship, participation, representation, and the public sphere. It traces the evolution from electronic to virtual and network democracy, underscoring how each stage has broadened democratic engagement through technology. Focusing on digital citizenship, the chapter examines how AI can improve online engagement while posing privacy risks and fostering identity stereotyping. Regarding political participation, it highlights AI's dual role in mobilising civic actions and spreading (...) misinformation. Regarding representation, AI's involvement in electoral processes can enhance voter registration, e-voting, and the efficiency of result tabulation but raises concerns regarding privacy and public trust. Also, AI's predictive capabilities shift the dynamics of political competition, posing ethical questions about manipulation and the legitimacy of democracy. Finally, the chapter examines how integrating AI and digital technologies can facilitate democratic political advocacy and personalised communication. However, this also comes with higher risks of misinformation and targeted propaganda. (shrink)

The article is devoted to educational opportunities for the formation of social capital. Social capital is manifested in the ability of people to communicate and work together. Analysis of the concept of social capital allows understanding the foundations of social interaction, the need for trust, and the relationship between the formation and distribution of the social trust, norms, and social capital itself. Social capital does not exist outside people. Social capital cannot be characterized as an attribute of a (...) separate individual. Social capital belongs to the group, the community. Learning is a situation of joint activity. In modern pedagogy, the problem is how to teach, organizing effective joint forms of educational activity. In distance learning (e-learning), it is important to organize the educational environment to have properties that make up for the lack of live communication. Today, the subjective nature of the educational process, focused on the formation of a creative personality, is being affirmed. Educational priorities are aimed at comfortable, conflict-free cooperation between the student at all levels of the educational process and the teacher, perhaps even partnership. The teacher and the student jointly develop goals, objectives, problem search field of research, working "cocreatively," a mini-team. This anthropocentric pedagogical technology relates to project and problem technologies in the educational process. (shrink)

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