Automation is once again raising concerns about the threat it poses to employment. Feminists in the 20th century believed that technology could liberate women from undesirable labor. However, historically, industry and automation have not reduced women’s workloads but have instead favored unpaid work, flexibility, and work overload. Rather than mitigating the care and ecological crises, technological development has exacerbated them. This raises an important question for feminist theory: should technology be rejected as a way of reducing women’s workload? To (...) explore this, we analyze classical and contemporary contributions from feminist theorists on the future of work and technology. Using philosophical and feminist theoretical methods, our aim is to examine the relationships between these imaginings and home, family, design, and consumption. This article argues that a feminist analysis of work must include the technological dimension, considering the production of human beings as a strategic technology for feminist purposes. To imagine an alternative near future, the article draws on Donna Haraway’s making kin, emphasizing defamiliarization and refamiliarization of social and ecological relations, pluralist science, and technology for sustainable regeneration of life; and finally, as suggested in this analysis, the ironic persistence of labour in a post-industrial or post-capitalist era. (shrink)

Developers are often the engine behind the creation and implementation of new technologies, including in the artificial intelligence surge that is currently underway. In many cases these new technologies introduce significant risk to affected stakeholders; risks that can be reduced and mitigated by such a dominant party. This is fully recognized by texts that analyze risks in the current AI transformation, which suggest voluntary adoption of ethical standards and imposing ethical standards via regulation and oversight as tools to compel developers (...) to reduce such risks. However, what these texts usually sidestep is the question of how aware developers are to the risks they are creating with these new AI technologies, and what their attitudes are towards such risks. This paper asks to rectify this gap in research, by analyzing an ongoing case study. Focusing on six Israeli AI startups in the field of radiology, I carry out a content analysis of their online material in order to examine these companies’ stances towards the potential threat their automated tools pose to patient safety and to the work-standing of healthcare professionals. Results show that these developers are aware of the risks their AI products pose, but tend to deny their own role in the technological transformation and dismiss or downplay the risks to stakeholders. I conclude by tying these findings back to current risk-reduction recommendations with regards to advanced AI technologies, and suggest which of them hold more promise in light of developers’ attitudes. (shrink)

The increasing adoption of Artificial Intelligence (AI) in the workplace raises concerns about its impact on professionals’ sense of identity and their willingness to use this technology. This study investigates the relationship between AI-induced professional identity threat (PIT) and AI use intention in the workplace. We explore how factors like AI identity, records and information management culture, explainable AI (XAI) as a collaborator, professional experience, and temporal distance, can influence these relationships. Data was collected through an online survey distributed (...) via Google Forms and administered to a sample of 413 records and information management (RIM) professionals within Eastern and Southern Africa. Structural equation modelling (SEM) was conducted using IBM-SPSS-AMOS to analyse the hypothesized relationships. The findings reveal that while RIM culture does not significantly affect PIT or AI use intention, XAI and a strong AI identity are crucial in reducing PIT and enhancing AI adoption. Temporal distance was found to exacerbate PIT, especially among expert practitioners and reduce AI use intention among novice practitioners. These insights contribute to a deeper understanding of how to mitigate the negative impacts of AI on professional identity and promote its successful adoption within organizations. (shrink)

The use of advanced AI and data-driven automation in the public sector poses several organisational, practical, and ethical challenges. One that is easy to underestimate is automation bias, which, in turn, has underappreciated legal consequences. Automation bias is an attitude in which the operator of an autonomous system will defer to its outputs to the point where the operator overlooks or ignores evidence that the system is failing. The legal problem arises when statutory office-holders (or their employees) either fetter their (...) discretion to in-house algorithms or improperly delegate their discretion to third-party software developers—something automation bias may facilitate. A synthesis of previous research suggests an easy way to mitigate the risks of automation bias and its potential legal ramifications is for those responsible for procurement decisions to adhere to a simple checklist that ensures that the pitfalls of automation are avoided as much as possible. (shrink)

This article reviews the literature surrounding the growing use of Automated Paraphrasing Tools as a threat to educational integrity. In academia there is a technological arms-race occurring between the development of tools and techniques which facilitate violations of the principles of educational integrity, including text-based plagiarism, and methods for identifying such behaviors. APTs are part of this race, as they are a rapidly developing technology which can help writers transform words, phrases, and entire sentences and paragraphs at the (...) click of a button. This article seeks to review the literature surrounding the history of APT use and the current understanding of APTs placed in the broader context of the educational integrity-technology arms race. (shrink)

Artificial intelligence (AI) technology poses possible threats to existing jobs. These threats extend not just to the number of jobs available but also to their quality. In the future, so some predict, workers could face fewer and potentially worse jobs, at least if society does not embrace reforms that manage the coming AI revolution. This paper uses the example of Daron Acemoglu and Simon Johnson’s recent book—_Power and Progress_ (2023)—to illustrate some of the dilemmas and options for managing the future (...) of work under AI. Acemoglu and Johnson, while warning of the potential negative effects of an AI-driven automation, argue that AI can be used for positive ends. In particular, they argue for its uses in creating more ‘good jobs’. This outcome will depend on democratising AI technology. This paper is critical of the approach taken by Acemoglu and Johnson—specifically, it misses the possibility for using AI to lighten work (i.e., to reduce its duration and improve its quality). This paper stresses the potential benefits of automation as a mechanism for lightening work. Its key arguments aim to advance critical debates focused on creating a future in which AI works for people not just for profits. (shrink)

We claim the climate crisis is the proper baseline for establishing the terms of debate about the viability of a post-work future. In this paper, we aim to assess the viability of a post-work future in which automation replaces a significant portion of human labor. We do this by laying out the possible outcomes of what such a future will look like based on three related axes: technological capacity, politics and social distribution, and alternative conceptions of the good. The purpose (...) in tracking these outcomes is to have a clear picture of those outcomes we should be pursuing in contrast to those we ought to avoid. Put another way, to achieve a post-work future that is egalitarian in character will require ensuring that technological capacity is used to improve the prospects for all humanity. The argument proceeds along the following lines. First, we summarize the scientific consensus about the causes and consequences of climate change, as well as the tools of mitigation and adaptation it recommends. The causes are primarily rooted in the global system of production and consumption that has developed over the last century. We refer to this pattern of development as the “Growth Model” since it primarily relies on energy created from burning fossil fuels and the exponential consumption of resources to promote more growth (Rose 2020). Second, we construct a range of possible outcomes regarding the climate crisis that are based on different trajectories of development. We do so by examining each of two cases located on the poles of three different axes. These axes include technology, political organization and social distribution, and conceptions of the good, yielding eight possible outcomes. The point of considering these cases and how they intersect along these axes is two-fold: to clarify the features that define them and compare their merits and drawbacks, enabling us to formulate the means for avoiding some outcomes and strive for others. Third, we then consider the viability of a post-work future in terms of these outcomes. Some of these outcomes point in a direction where automation replaces labor, and its benefits are shared widely. Others indicate a future in which some groups benefit at the expense of others, while some appear to preclude the emergence of such a future altogether. Finally, we conclude with some observations about the viability of a post-work future given our evaluation of these outcomes. (shrink)

Despite the substantial research into the peculiar political and legal status of climate migrants, there is comparatively little exploration of the particular forms of loss such migrants might face or how efforts might mitigate such loss. This paper aims to begin filling that void by characterizing such loss, using the framework of the UNFCC’s Warsaw Mechanism, as agential harm. Using existing models for thinking about the preservation of values and links with the past, I aim to use this idea of (...) a threat to agency to discuss how migration could occur to better preserve the agential control of displaced populations. (shrink)

Automated decision-making takes up an increasingly significant place in the administrative state. This article presents a conception of discretion that is helpful for evaluating the proper place of algorithms in public decision-making. I argue that the algorithm itself is not a site of discretion. The threat is that automated decision-making alters the relationships between traditional actors in a way that can cut down discretion and human commitment. Algorithmic decision-makers can serve to fetter the discretion that the legislature (...) and the populace expect to be exercised. We must strive to maintain discretion, moral agency, deliberative ideals, and human commitment through the system that surrounds the use of an algorithm and to develop a new expertise that can retain and exercise the expected discretion. Backing this argument are traditional legal constraints, public expectations, and administrative law principles, tied together through the organizing principle of discretion. (shrink)

A number of scholars and policy-makers have raised serious concerns about the impact of chatbots and generative artificial intelligence (AI) on the spread of political disinformation. An increasingly popular proposal to address this concern is to pass laws that, by requiring that artificially generated and artificially disseminated content be labeled as such, aim to ensure a degree of transparency in this rapidly transforming environment. This article argues that such laws are misguided, for two reasons. We first aim to show that (...) legally requiring the disclosure of the automated nature of bot accounts and AI-generated content is unlikely to succeed in improving the quality of political discussion on social media. This is because information that an account spreading or creating political information is a bot or a language model is itself politically relevant information, and people reason very poorly about such information. Second, we aim to show that the main motivation for these laws – the threat of coordinated disinformation campaigns (automated or not) – appears overstated. (shrink)

Advances in AI are powering increasingly precise and widespread computational propaganda, posing serious threats to national security. The military and intelligence communities are starting to discuss ways to engage in this space, but the path forward is still unclear. These developments raise pressing ethical questions, about which existing ethics frameworks are silent. Understanding these challenges through the lens of “cognitive security,” we argue, offers a promising approach.

As automating technologies are increasingly integrated into workplaces, one concern is that many of the human workers who remain will be relegated to more dull and less positively impactful work. This paper considers two rival theories of meaningful work that might be used to evaluate particular implementations of automation. The first is achievementism, which says that work that culminates in achievements to workers’ credit is especially meaningful; the other is the practice view, which says that work that takes the form (...) of an open-ended practice is especially meaningful. Of the two, the practice view is the better tool for assessing the future of meaningful work, because achievementism is explanatorily inadequate in two ways. Moreover, the practice view can explain why the most meaningful forms of work cannot be automated. A procedure can only be automated as long as the steps are defined, whereas, in such work, which steps to take is indefinitely open to redefinition. This reveals the real threat to meaningful work to be a political-economic one. The relevant ethical questions there have to do with how much creative control workers retain in crafting their own jobs, when those jobs involve meaningful work in collaboration with machines; and how to liberate workers from jobs that do not involve meaningful work, which should be left to machines anyway. (shrink)

With the advent of automated decision-making, governments have increasingly begun to rely on artificially intelligent algorithms to inform policy decisions across a range of domains of government interest and influence. The practice has not gone unnoticed among philosophers, worried about “algocracy”, and its ethical and political impacts. One of the chief issues of ethical and political significance raised by algocratic governance, so the argument goes, is the lack of transparency of algorithms. One of the best-known examples of philosophical analyses (...) of algocracy is John Danaher’s “The threat of algocracy”, arguing that government by algorithm undermines political legitimacy. In this paper, I will treat Danaher’s argument as a springboard for raising additional questions about the connections between algocracy, comprehensibility, and legitimacy, especially in light of empirical results about what we can expect the voters and policymakers to know. The paper has the following structure: in Sect. 2, I introduce the basics of Danaher’s argument regarding algocracy. In Sect. 3 I argue that the algocratic threat to legitimacy has troubling implications for social justice. In Sect. 4, I argue that, nevertheless, there seem to be good reasons for governments to rely on algorithmic decision support systems. Lastly, I try to resolve the apparent tension between the findings of the two preceding Sections. (shrink)

Recent technological developments have given rise to debates about automation and the future of work. These debates touch on concerns about the availability, nature, and meaningfulness of jobs in the present and near future. The aim of this article is to show that Hannah Arendt’s phenomenology of labor, work, and action can improve current debates about automation and the future of work. First of all, an analysis of Arendt’s critique of modern society and the more recent notion of ‘immaterial labor’ (...) demonstrates that we (still) live in a society dominated by labor and consumption. Second, a conceptual distinction between labor, work, and action can add relevant nuances to contemporary debates about automation and the future of work. Third, Arendt’s warning for a society of laborers without labor inspires to add over-consumption to the list of problems arising from automation. Fourth, Arendt’s description of the human condition can give clarity to contemporary worries about automation’s impact on meaning. It is concluded, finally, that a revaluation of work and action can counter the threats associated with the automation of labor. (shrink)

A number of scholars and policy-makers have raised serious concerns about the impact of chatbots and generative artificial intelligence (AI) on the spread of political disinformation. An increasingly popular proposal to address this concern is to pass laws that, by requiring that artificially generated and artificially disseminated content be labeled as such, aim to ensure a degree of transparency in this rapidly transforming environment. This article argues that such laws are misguided, for two reasons. We first aim to show that (...) legally requiring the disclosure of the automated nature of bot accounts and AI-generated content is unlikely to succeed in improving the quality of political discussion on social media. This is because information that an account spreading or creating political information is a bot or a language model is itself politically relevant information, and people reason very poorly about such information. Second, we aim to show that the main motivation for these laws – the threat of coordinated disinformation campaigns (automated or not) – appears overstated. (shrink)

Digitalization has become a cornerstone of competitiveness in the industrial arena, especially in the cases of small lot sizes with many variants in the goods produced. Managers of industrial facilities have to handle the complexity that comes along with Industry 4.0 in diverse dimensions to leverage the potentials of digitalization for their sites. This article describes major drivers of this complexity in current industrial automation to outline the environment of today’s challenges for managers of this technical transition—and shows how managed (...) industrial security services can contribute to stabilize the industrial system. An outlook is given to future automation scenarios as well as the major concepts involved in their protection. (shrink)

The development of computer science has raised ethical concerns regarding the potential negative impacts of machine learning tools on people and society. Some examples are pornographic deepfakes used as weapons of war against women; pattern recognition designed to uncover sexual orientation; and misuse of data and deep learning by private companies to influence democratic elections. We contend that these three examples are cases of automated evil. In this article, we defend that the concept of forbidden knowledge can help to (...) inform a coherent ethical framework in the context of machine learning research. We conclude that restricting generalised access to extensive data and limiting access to ready-to-use codes would mitigate potential harms caused by machine learning tools. In addition, the notions of intersectionality and interdisciplinarity should be systematically introduced in data and computer science research. (shrink)

Should the U.N. Security Council use its coercive powers to bring about effective climate change mitigation? This question remains relevant considering the inadequate mitigation goals set by the signatories of the Paris Climate Accord and the ramifications of U.S. withdrawal from the Accord. This paper argues that the option of the unsc coercing climate change mitigation through military action, or the threat thereof, is morally flawed and ultimately antithetical to effectively addressing climate change. This assessment is (...) based significantly on the application of jus ad bellum principles of just war theory, incorporating some feminist critiques of this theory. (shrink)

Remote work, understood here as a working environment different from the traditional office working space, is a phenomenon that has existed for many years. In the past, workers voluntarily opted, when they were allowed to, to work remotely rather than commuting to their traditional work environment. However, with the emergence of the global pandemic (corona virus-COVID-19), people were forced to work remotely to mitigate the spread of the virus. Consequently, researchers have identified some benefits and adverse effects of remote work, (...) especially in the age of COVID-19, ranging from flexible time and environment to technostress and isolation. In this paper, using a phenomenological approach, specifically, the sub-Saharan African experiences, I contend that remote work in the age of advanced technologies has obscured the value of relationality due to the problem of isolation in sub-Saharan African workplaces. For sub-Saharan Africans, relationality is a prerequisite moral value to becoming a person. In addition, relationality contributes to meaningfulness in the workspace. Obscuring the value of relationality in the aforementioned locale leads to meaninglessness in the workspace. Furthermore, this paper contributes to the existing literature on meaningful work by critically showing the importance of the value of relationality as a key element that adds meaning to work in sub-Saharan Africa. (shrink)

John Danaher and Sven Nyholm have argued that automation, especially of the sort powered by artificial intelligence, poses a threat to meaningful work by diminishing the chances for meaning-conferring workplace achievement, what they call “achievement gaps”. In this paper, I argue that Danaher and Nyholm’s achievement gap thesis suffers from an ambiguity. The weak version of the thesis holds that automation may result in the appearance of achievement gaps, whereas the strong version holds that automation may result on balance (...) loss in possibilities for workplace achievements, i.e., in the appearance of an overall gappier work landscape. Against the strong version of the achievement gap thesis, I characterize situations where automation may result in boons to meaning-conferring workplace achievements: the appearance of what I call achievement spread and achievement swaps. Nevertheless, Danaher and Nyholm are right to worry about some uses of automation whereby human workers become subservient to AI. But these situations are better framed, I argue, as autonomy gaps rather than achievement gaps. (shrink)

This paper draws attention to the tendency of a range of technologies to reduce pedagogical interactions to a series of datafied transactions of information. This is problematic because such transactions are always by definition reducible to finite possibilities. As the ability to gather and analyse data becomes increasingly fine-grained, the threat that these datafied approaches over-determine the pedagogical space increases. Drawing on the work of Hegel, as interpreted by twentieth century French radical philosopher Alexandre Kojève, this paper develops a (...) model of relational pedagogy which highlights three points of incompatibility with a datafied learning environment reduced to finite measures. Firstly: Kojève’s accont of authority in Hegel posits two aspects to the mimetic relation between teacher and student: recognition and realisation, which belong to the ipseity or about-self-ness of the subject, and are incompatible with a general definition of data. Secondly, the Hegelian approach to human historical time, in particular the assertion that time and desire are begun in the future, not the past, renders it incompatible with mathematical time as used in data processing. Finally, from these it is possible to derive a distinctive notion of the work of pedagogy, grounded in Kojève’s realist reading of Hegel, irreducible to information processing. In consequence of this threefold irreducibility, the paper draws attention to a need for relations of human pedagogical work to be inherent in the design of educational technologies and highlights the dangers of presuming a machine intelligence model in the design of learning environments. (shrink)

The increasing use of algorithms in allocating resources and services in both private industry and public administration has sparked discussions about their consequences for inequality and fairness in contemporary societies. Previous research has shown that the use of automated decision-making (ADM) tools in high-stakes scenarios like the legal justice system might lead to adverse societal outcomes, such as systematic discrimination. Scholars have since proposed a variety of metrics to counteract and mitigate biases in ADM processes. While these metrics focus (...) on technical fairness notions, they do not consider how members of the public, as most affected subjects by algorithmic decisions, perceive fairness in ADM. To shed light on subjective fairness perceptions of individuals, this study analyzes individuals’ answers to open-ended fairness questions about hypothetical ADM scenarios that were embedded in the German Internet Panel (Wave 54, July 2021), a probability-based longitudinal online survey. Respondents evaluated the fairness of vignettes describing the use of ADM tools across different contexts. Subsequently, they explained their fairness evaluation providing a textual answer. Using qualitative content analysis, we inductively coded those answers (_N_ = 3697). Based on their individual understanding of fairness, respondents addressed a wide range of aspects related to fairness in ADM which is reflected in the 23 codes we identified. We subsumed those codes under four overarching themes: _Human elements in decision-making_, _Shortcomings of the data_, _Social impact of AI_, and _Properties of AI_. Our codes and themes provide a valuable resource for understanding which factors influence public fairness perceptions about ADM. (shrink)

Partially automated vehicle technology is increasingly common on-road. While this technology can provide safety benefits to drivers, it also introduces new concerns about driver attention. In particular, during partially automated driving, drivers are expected to stay vigilant so they can readily respond to important events in their environment. However, using partially automated vehicles on the highway places drivers in monotonous situations and requires them to do very little. This can place the driver in a state of cognitive (...) underload in which they experience a very small amount of cognitive demand. In this situation, drivers can exhibit vigilance decrements which impact their ability to respond to on-road threats. This is of particular concern in situations when the partially automated vehicle fails to respond to a potentially critical situation and leaves all responsibility to safely navigate to the driver. This paper reviews situations that lead to vigilance decrements and characterizes the different methodologies of measuring driver vigilance during PAD, highlighting their advantages and limitations. Based on our reading of the literature, we summarize several factors future research on vigilance decrements in PAD should consider. (shrink)

Cooperative, connected and automated mobility technologies have the potential to revolutionize transportation systems and enhance safety, efficiency and sustainability. However, the increasing reliance on digital technologies also introduces new cybersecurity risks that can compromise the safety and privacy of passengers and the integrity of transportation systems. The purpose of this article is to examine the most important threats, vulnerabilities, risks and challenges related to automated mobility and to review the status of the most promising standardization initiatives on cryptography (...) in a world where quantum computers will soon represent an actual threat. (shrink)

_ Political corruption poses a significant threat to the stability and development of nations worldwide. This scholarly article delves into the multifaceted dimensions of political corruption, exploring its root causes, far-reaching consequences, and potential mitigation strategies. Through an interdisciplinary lens, the paper aims to provide a comprehensive understanding of this pervasive issue and contribute to the ongoing discourse on fostering transparent and accountable political systems._.

Climate change is an anthropogenic existential threat that provokes extreme concern among climate scientists, but not, it seems, among all member of the public. Here, there is considerably more variability in level of concern and, it appears, in everyday sustainable behavior. But how does personality affect this variability in behavior? And how are underlying personality states like dispositional optimism linked to more sustainable everyday practices? Research in clinical psychology has suggested that dispositional optimism is a very positive personality characteristic (...) associated with higher levels of hope and resilience, but applied research from other domains has reported that optimists can, on occasion, bury their heads in the sand and avoid attending to external threats, like climate change, in order to maintain mood state. So are optimists more immune to climate change messaging than non-optimists? And do they make fewer sustainable choices? A series of experimental studies, manipulating signifiers of carbon footprint (Study 1) and eco labels on products (Study 2) found that optimists made more sustainable choices than non-optimists and that both groups were influenced equally by climate change film clips in terms of sustainable choices (Study 1). Optimists also displayed a false consensus effect, overestimating the proportion of people who would behave more sustainably like themselves (Study 3). Given that global problems like climate change need concerted, cooperative effort, these optimistic beliefs about how others behave could be adaptive in the long-run. Designing climate change messages to appeal to optimists might be a critical consideration for the future. (shrink)

Gender bias in leadership and decision-making is a well-documented and pervasive topic that continues to garner significant attention in academic research and business literature. In this paper, by exploiting a unique proprietary dataset of 550 mid-corporate loan applications managed by a major European bank, we explore how the use of soft information influences lending decisions of female loan officers as compared to their male counterparts. We find that use of soft information reduces information asymmetry which helps female officers in making (...) diligent lending decisions resulting in increased granted credit with a lower default probability. We also investigate gender affinity within the banking organisation and find that female loan approvers are more likely to be supportive of their subordinate female loan officers by approving more credit to the loan applications handled by female loan officers. Finally, we examine the possible mechanisms that can explain these results, and find that female loan officers are able to better collect and use soft information as they cultivate and maintain deeper firm-bank relationships with their clients due to higher threat of losing or being penalized in their jobs for any possible errors. We also rule out any other possible explanations such as differences in workload, work experience, loan officers’ optimism, managerial ability, and screening capabilities between female and male loan officers. Our findings carry important policy implications, reflected in the optimal allocation of capital in the economy and the reduction of gender-related exclusion, which is vital in creating an equitable society and fostering a more ethical and inclusive workplace. (shrink)

This article argues that parents have a special, shared duty to organize for collective action on climate change mitigation and adaptation, but not for the reason one might assume. The apparently obvious reason is that climate change threatens life, health and community for the next generation, and parents have a special duty to their children to protect their basic human interests. This argument fails because many parents could protect their children from these central harms without taking more general action (...) to combat climate change, let alone to mitigate it. Instead, subtler reasons are advanced, drawing on children’s relational interests or on their interests as moral agents. It is argued that parents owe it to their children to combat climate change because of the indirect impact on current children of serious threats to their children and grandchildren, and of being required to live in a radically unjust world. It is further argued that parents may owe it directly to their more distant descendants to mitigate climate change because of the role current parents played in bringing them into the world. (shrink)

John Danaher and Sven Nyholm have argued that automation, especially of the sort powered by artificial intelligence, poses a threat to meaningful work by diminishing the chances for meaning-conferring workplace achievement, what they call “achievement gaps”. In this paper, I argue that Danaher and Nyholm’s achievement gap thesis suffers from an ambiguity. The weak version of the thesis holds that automation may result in the appearance of achievement gaps, whereas the strong version holds that automation may result on balance (...) loss in possibilities for workplace achievements, i.e., in the appearance of an overall gappier work landscape. Against the strong version of the achievement gap thesis, I characterize situations where automation may result in boons to meaning-conferring workplace achievements: the appearance of what I call achievement spread and achievement swaps. Nevertheless, Danaher and Nyholm are right to worry about some uses of automation whereby human workers become subservient to AI. But these situations are better framed, I argue, as autonomy gaps rather than achievement gaps. (shrink)

The recent developments in applications of artificial intelligence bring back discussion about risks posed by AI. Among immediate risks that need to be tackled here and now, there is also a possible problem of existential threats related to Artificial General Intelligence (AGI). There is a discussion on how to mitigate those risks by appropriate regulations. It seems that one commonly accepted assumption is that the problem is global, and thus, it needs to be tackled first of all on an international (...) level. In this paper, I argue that national criminal laws should also be considered one of the possible regulatory tools for mitigating threats posed by AGI. I propose to enact AGI crimes that complement the varieties of legal responses to existential risks that might motivate and speed up further regulatory changes. (shrink)

We perform a mixed-method frame semantics-based analysis on a dataset of more than 49,000 sentences collected from 5846 news articles that mention AI. The dataset covers the twelve-month period centred around the launch of OpenAI’s chatbot ChatGPT and is collected from the most visited open-access English-language news publishers. Our findings indicate that during the six months succeeding the launch, media attention rose tenfold—from already historically high levels. During this period, discourse has become increasingly centred around experts and political leaders, and (...) AI has become more closely associated with dangers and risks. A deeper review of the data also suggests a qualitative shift in the types of threat AI is thought to represent, as well as the anthropomorphic qualities ascribed to it. (shrink)

Large-scale, self-sufficient space colonization is a plausible means of efficiently reducing existential risks and ensuring our long-term survival. But humanity is by and large myopic, and as an intergenerational global public good, existential risk reduction is systematically undervalued, hampered by intergenerational discounting. This paper explores how these issues apply to space colonization, arguing that the motivational and psychological barriers to space colonization are a special—and especially strong—case of a more general problem. The upshot is not that large-scale, self-sufficient space colonization (...) will never occur, but that, absent institutional change, the conditions under which it is most likely to occur are precisely those conditions where the threat of suffering risks might be most high. (shrink)

Global climate change is one of the biggest threats humankind faces today. Changing climatic conditions are expected to lead to rising sea levels, a higher frequency of natural hazards, extended phases of drought, and a greater risk of many other sudden and slow-onset events. These threats will impact not only economic development but also the livelihood and cultures of many communities and regions of the world. Governing climate change to minimize these risks not only concerns understanding its science but also (...) analyzing policy options with methods from social sciences and economics. This in turn means making evaluative judgments about what policy measures can be considered just and fair. These kinds of judgments are normative; they concern ethics. The aim of this article is to lay out some of the most important aspects of justice and responsibility in governing transitions to renewable energy as a means of reducing global emissions. (shrink)

Considering the role of human interactions in infectious disease outbreaks and cooperation in mitigating natural disasters consequences, ecological threats to human survival have been among proposed drivers of collectivism. Utilizing established and novel measures of parasite stress and natural disasters, we investigated their association with collectivism in a large sample of countries (N = 188). Linear mixed-effect models indicated that after controlling for national wealth, neither natural disasters nor infectious disease can predict collectivism scores. Null results were consistent across different (...) measures of threats, suggesting that previous findings can be attributed to small, non-representative samples of cultures. When universal patterns are a major concern, drawing conclusions based on small, nonrepresentative subsets of cultures risks promoting unreliable findings. Future cross-cultural research will benefit from data-driven exploratory methods to uncover factors previously unexamined in the theory-driven studies of collectivism. (shrink)

Based on detailed descriptions of human–machine ensembles, this article explores how humans and machines work together to see specific things and unsee others, and how they come to co-configure one another. For seeing is not an automated function; whether one is a human or a machine, vision is gradually enskilled and mutually co-constituted. The analysis intersects three different ways of human–machine seeing to shed further light on the workings of each one: an airport, where facial recognition algorithms collaborate with (...) border guards to grant passage to particular travellers and not to others; a luggage-scanning system, where potential security threats are assessed by a complex of X-rays and human intro-spection; and a hospital operating room, where human–machinic surgical robots find their way and operate on the insides of human bodies, touching only by seeing. In these examples, human and machine ways of seeing merge together, seeing in particular apparatuses of material, political, organisational, economic and fleshy components. The article analyses the practical work of human–machinic collaboration and explores how the different material and social constituents, not necessarily always working from the same agenda, come to configure what can be seen and sensed and what cannot. (shrink)

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

In general, existential threats are those that may potentially result in the extinction of the entire human species, if not significantly endanger its living population. Among the said threats include, but not limited to, pandemics and the impacts of a technological singularity. As regards pandemics, significant work has already been done on how to mitigate, if not prevent, the aftereffects of this type of disaster. For one, certain problem areas on how to properly manage pandemic responses have already been identified, (...) like the following: (a) not being able to learn from previous experiences, (b) the inability to act on warning signals, and (c) the failure to reach a global consensus on a problem (i.e., in a timely manner). In terms of a singularity, however, it may be said that further research is still needed, specifically on how to aptly respond to its projected negative outcomes. In this paper, by treating the three problem areas noted above as preliminary assessment measures of a country’s capacity to coordinate a national response to large-scale disasters, we examine the readiness of the Philippines in preparing for an intelligence explosion. By citing certain instances of how the said country, specifically its national government, faced the coronavirus disease 2019 pandemic, it puts forward the idea that the likely Philippine disaster response towards a singularity needs to be worked on, appealing for a more comprehensive assessment of such for a more informed response plan. (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 evolution of wireless communications, from the first to the fifth generation, has driven Internet of Things (IoT) advancements. IoT is transforming sectors like agriculture, healthcare, and transportation, but also presents challenges like spectrum bandwidth demand, speed requirements, and security issues. IoT environments, with embedded sensors and actuators, connect to other devices to transmit and receive data over the internet. These data are processed locally or in the cloud, enabling decision-making and automation. Various wireless technologies, including Bluetooth, Zigbee, LoRa, and (...) WiFi, cater to specific IoT applications. 5G, with its high speeds, low latency, and efficient bandwidth sharing, is ideal for high-speed data transmission, and thus it provides robust infrastructure for low-latency and bandwidth-sensitive applications. This latest mobile network technology is being rapidly implemented worldwide, providing unprecedented throughput and low latency, which are crucial for the IoT. This paper presents a comprehensive systematic review on 5G security features, vulnerabilities, threats to mobile devices, security in IoT devices, common attacks to IoT devices and protection of data in this environment. Despite enhanced security, 5G faces challenges like Distributed Denial of Service (DDoS), Man In The Middle (MITM), cross-slice disruptions, and side-channel attacks. (shrink)

In his famous 1950 paper where he presents what became the benchmark for success in artificial intelligence, Turing notes that "at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted" (Turing 1950, 442). Kurzweil (1990) suggests that Turing's prediction was correct, even if no machine has yet to pass the Turing Test. In the wake of the (...) computer revolution, research in artificial intelligence and cognitive science has pushed in the direction of interpreting "thinking" as some sort of computational process. On this understanding, thinking is something computers (in principle) and humans (in practice) can both do. It is difficult to say precisely when in history the meaning of the term "thinking" headed in this direction. Signs are already present in the mechanistic and mathematical tendencies of the early Modern period, and maybe even glimmers are apparent in the ancient Greeks themselves. But over the long haul, we somehow now consider "thinking" as separate from the categories of "thoughtfulness" (in the general sense of wondering about things), "insight" and "wisdom." Intelligent machines are all around us, and the world is populated with smart cars, smart phones and even smart (robotic) appliances. But, though my cell phone might be smart, I do not take that to mean that it is thoughtful, insightful or wise. So, what has become of these latter categories? They seem to be bygones left behind by scientific and computational conceptions of thinking and knowledge that no longer have much use for them. In 2000, Allen, Varner and Zinser addressed the possibility of a Moral Turing Test (MTT) to judge the success of an automated moral agent (AMA), a theme that is repeated in Wallach and Allen (2009).. (shrink)

Despite changes in their representation and visibility, there are still serious concerns about the inclusion and day-to-day workplace challenges various groups face (e.g., women, ethnic and cultural minorities, LGBTQ+, people as they age, and those dealing with physical or mental disabilities). Men are also underrepresented in specific work fields, in particular those in HEED (Health care, Elementary Education and the Domestic sphere). Previous literature has shown that group stereotypes play an important role in maintaining these inequalities. We outline how insights (...) from research on stigma, social-identity, and self-regulation together increase our understanding of how targets are affected by and regulate negative stereotypes in the workplace. This approach starts from the basis that members of negatively-stereotyped groups are not just passive recipients of negative attitudes, stereotypes, and behaviors, but are active individuals pursuing multiple goals, such as goals for belonging and achievement. We argue that it is only by understanding stigma from the target’s perspective (e.g., how targets are affected and respond) that we can successfully address workplace inequality. Key in this understanding is that stereotypes, prejudice and discrimination have taken on much more subtle forms, with consequences for the way members of stigmatized-groups cope. These insights lead us to propose an approach to understanding barriers to workplace equality that highlights four key aspects: a) the different (often subtle) potential triggers of identity-threat in the workplace for members of stigmatized-groups, b) the ways in which members of stigmatized-groups cope with these threats, c) the role of supportive factors that mitigate potential threats and affect self-regulation, and d) potential hidden costs for the self or others of what appears at first to be effective self-regulation. The focus on threats, coping, support, and potential hidden costs helps us understand why current diversity efforts are not always successful in increasing and maintaining members of stigmatized-groups in organizations, and provides insight into how we can aid efforts to effectively lower barriers to workplace equality. (shrink)

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

Competitive pressures, resource constraints, high shareholder/stakeholder expectations, and other dynamics may lead to organizations putting pressure on employees to act unethically to meet goals. Yet, the effects of this pressure on employee health and factors that can abate it are unclear. Based on the job demands-resources model, this study examines whether, how, and when organizational ethical pressure harms employees' psychological and physical health and what factors can buffer its negative effects. According to the findings of a two-wave lagged data study (...) involving 212 healthcare employees, results show that organizational ethical pressure causes ethical strain in employees, resulting in both psychological and physical health problems, with these effects less pronounced when employees have higher levels of ethical efficacy. An integrated effect was also discovered, in which employees' ethical efficacy increases when led by a more ethical leader, thereby buffering the effect of ethical pressure on ethical strain and health problems. Overall, our research identifies organizational ethical pressure as a significant threat to employee health and provides preliminary approaches to mitigate its effects. (shrink)

Effective human–robot teaming increasingly requires humans to work with intelligent, autonomous machines. However, novel features of intelligent autonomous systems such as social agency and incomprehensibility may influence the human’s trust in the machine. The human operator’s mental model for machine functioning is critical for trust. People may consider an intelligent machine partner as either an advanced tool or as a human-like teammate. This article reports a study that explored the role of individual differences in the mental model in a simulated (...) environment. Multiple dispositional factors that may influence the dominant mental model were assessed. These included the Robot Threat Assessment, which measures the person’s propensity to apply tool and teammate models in security contexts. Participants were paired with an intelligent robot tasked with making threat assessments in an urban setting. A transparency manipulation was used to influence the dominant mental model. For half of the participants, threat assessment was described as physics-based ; the remainder received transparency information that described psychological cues. We expected that the physics-based transparency messages would guide the participant toward treating the robot as an advanced machine, while psychological messaging would encourage perceptions of the robot as acting like a human partner. We also manipulated situational danger cues present in the simulated environment. Participants rated their trust in the robot’s decision as well as threat and anxiety, for each of 24 urban scenes. They also completed the RoTA and additional individual-difference measures. Findings showed that trust assessments reflected the degree of congruence between the robot’s decision and situational danger cues, consistent with participants acting as Bayesian decision makers. Several scales, including the RoTA, were more predictive of trust when the robot was making psychology-based decisions, implying that trust reflected individual differences in the mental model of the robot as a teammate. These findings suggest scope for designing training that uncovers and mitigates the individual’s biases toward intelligent machines. (shrink)

In 2017, the blockade of Qatar Gulf states caused a plethora of effects on the country. This paper sought to examine the resulting threat effects of this blockade in terms of lowered self-esteem and well-being, and the potential buffering effects of an overarching identity. Using self-report questionnaire data from Qatari secondary school students, multiple moderated mediation models investigated the predictive effects of youngsters’ perceived threat, via self-esteem, on their well-being, and the mitigating roles herein of, respectively, national, Gulf (...) region, and Arab identity. Perceived threat was indeed related to lower well-being via lower self-esteem, and this relationship was equally strong for those low and high in social identity. In terms of the three facets of identity, the overarching Gulf identity seems the most predictive, and it even buffers the negative relationship between threat and reduced self-esteem. (shrink)

This essay focuses on the issue of corruption, marginality and the social disorder attending it, as threats to national and human security in Nigeria. It not only examines the problems of corruption in Nigeria and the implications of this for national security, but also, discusses the role of an ethical idea of citizenship in tackling corruption and reinventing the political community. In Nigeria, corruption has played a key role in aggravating the political and economic crisis besetting the country. Depreciation of (...) human dignity and collapse of infrastructures have ensured the systematic elite misappropriation of state power, the primitive accumulation of capital, ethno-cultural intolerance and political manipulation in the society. This paper searches for a set of norms capable of mitigating needless dehumanization and inequalities, and improving welfare of the majority by evolving public citizens oriented to the common good. (shrink)

Currently, the central questions in the philosophical debate surrounding the ethics of automated warfare are (1) Is the development and use of autonomous lethal robotic systems for military purposes consistent with (existing) international laws of war and received just war theory?; and (2) does the creation and use of such machines improve the moral caliber of modern warfare? However, both of these approaches have significant problems, and thus we need to start exploring alternative approaches. In this paper, I ask (...) whether autonomous robots ought to be programmed to be pacifists. The answer arrived at is “Yes”, if we decide to create autonomous robots, they ought to be pacifists. This is to say that robots ought not to be programmed to willingly and intentionally kill human beings, or, by extension, participate in or promote warfare, as something that predictably involves the killing of humans. Insofar as we are the ones that will be determining the content of the robot’s value system, then we ought to program robots to be pacifists, rather than ‘warists’. This is (in part) because we ought to be pacifists, and creating and programming machines to be “autonomous lethal robotic systems” directly violates this normative demand on us. There are no mitigating reasons to program lethal autonomous machines to contribute to or participate in warfare. Even if the use of autonomous lethal robotic systems could be consistent with received just war theory and the international laws of war, and even if their involvement could make warfare less inhumane in certain ways, these reasons do not compensate for the ubiquitous harms characteristic of modern warfare. In this paper, I provide four main reasons why autonomous robots ought to be pacifists, most of which do not depend on the truth of pacifism. The strong claim being argued for here is that automated warfare ought not to be pursued. The weaker claim being argued for here is that automated warfare ought not to be pursued, unless it is the most pacifist option available at the time, and other alternatives have been reasonably explored, and we are simultaneously promoting a (long term) pacifist agenda in (many) other ways. Thus, the more ambitious goal of this paper is to convince readers that automated warfare is something that we ought not to promote or pursue, while the more modest—and I suspect, more palatable—goal is to spark sustained critical discussion about the assumptions underlying the drive towards automated warfare, and to generate legitimate consideration of its pacifist alternatives,in theory, policy, and practice. (shrink)

The science underlying global warming, climate change, and the connections between these phenomena are reviewed. Projected future climate changes under various plausible scenarios of future human behavior are explored, as are the potential impacts of projected climate changes on society, ecosystems, and our environment. The economic, security, and ethical considerations relevant to determining the threat posed by climate change are subsequently assessed. The article then discusses the various means available for climate change mitigation, focusing on the relative strengths (...) and weaknesses of various societal alternatives including ‘geoengineering’ and transitioning to less carbon intensive energy sources. The article concludes with the author's views as to what steps might most profitably be taken to avert dangerous anthropogenic interference with Earth's climate, and the ramifications if such steps are not taken. (shrink)

There is not as much resistance to COVID-19 mitigation as there seems, but there are structural features that make resistance seem worse than it is. Here we describe two ways that the problem seeming to be worse than it is can make it worse. First, visible hesitation to implement COVID-19 responses signals to the wider society that mitigation measures may not succeed, which undermines people’s conditional willingness to join in on those efforts. Second, our evaluations of others’ willingness (...) to implement these measures are informed by our attempts to mind-read them. Yet attempts to mind-read groups often mislead us, because groups invariably act from diverse motives whereas mind-reading works best when identifying relatively stable and consistent motivations. This means that a small minority of people refusing to implement measures can have an outsized prominence that prompts mind-reading to diagnose widespread hesitation. These two factors form a feedback loop with each other: we see some people’s hesitation, which prompts us to mind-read other people as being more uncertain about the responses than they actually are, which undermines our confidence in the responses, which in turn encourages others to mind-read this hesitation, which further undermines confidence. (shrink)