Computer Ethics

Within the Computer Science community, many ethical issues have emerged as significant and critical concerns. Computer ethics is an academic field in its own right and there are unique ethical issues associated with information technology. It encompasses a range of issues and concerns including privacy and agency around personal information, Artificial Intelligence and pervasive technology, the Internet of Things and surveillance applications. As computing technology impacts society at an ever growing pace, there are growing calls for more computer ethics content (...) to be included in Computer Science curricula. In this paper we present the results of a survey that polled faculty from Computer Science and related disciplines about teaching practices for computer ethics at their institutions. The survey was completed by respondents from 61 universities across 23 European countries. Participants were surveyed on whether or not computer ethics is taught to Computer Science students at each institution, the reasons why computer ethics is or is not taught, how computer ethics is taught, the background of staff who teach computer ethics and the scope of computer ethics curricula. This paper presents and discusses the results of the survey. (shrink)

The use of counterfactuals for considerations of algorithmic fairness and explainability is gaining prominence within the machine learning community and industry. This paper argues for more caution with the use of counterfactuals when the facts to be considered are social categories such as race or gender. We review a broad body of papers from philosophy and social sciences on social ontology and the semantics of counterfactuals, and we conclude that the counterfactual approach in machine learning fairness and social explainability can (...) require an incoherent theory of what social categories are. Our findings suggest that most often the social categories may not admit counterfactual manipulation, and hence may not appropriately satisfy the demands for evaluating the truth or falsity of counterfactuals. This is important because the wide- spread use of counterfactuals in machine learning can lead to misleading results when applied in high-stakes domains. Accordingly, we argue that even though counterfactuals play an essential part in some causal inferences, their use for questions of algorithmic fairness and social explanations can create more problems than they resolve. Our positive result is a set of tenets about using counterfactuals for fairness and explanations in machine learning. (shrink)

Despite the increasing number of gamers worldwide, the moral classification of computer gaming marks an as yet unsolved riddle of philosophical ethics. In view of the explosive nature of the topic in everyday life (as seen in various debates about rampages), it is obvious that a differentiated professional clarification of the phenomenon is needed: Can playing computer games be immoral? -/- To answer this question, the author first discusses what we do at all when we play computer games: What kind (...) of action are we talking about? The second step is a moral classification that reveals whether (and if so, why) some cases of computer gaming are morally problematic. The considerations made here provide a fundamental insight into the normative dimension of computer gaming. -/- This book is a translation of the original German 1st edition Ethik des Computerspielens by Samuel Ulbricht, published by J.B. Metzler, an imprint of Springer-Verlag GmbH Germany, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL). A subsequent human revision was done primarily in terms of content with minor additions, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors. (shrink)

Practical quantum computing devices and their applications to AI in particular are presently mostly speculative. Nevertheless, questions about whether this future technology, if achieved, presents any special ethical issues are beginning to take shape. As with any novel technology, one can be reasonably confident that the challenges presented by "quantum AI" will be a mixture of something new and something old. Other commentators (Sevilla & Moreno 2019), have emphasized continuity, arguing that quantum computing does not substantially affect approaches to value (...) alignment methods for AI, although they allow that further questions arise concerning governance and verification of quantum AI applications. In this brief paper, we turn our attention to the problem of identifying as-yet-unknown discontinuities that might result from quantum AI applications. Wise development, introduction, and use of any new technology depends on successfully anticipating new modes of failure for that technology. This requires rigorous efforts to break systems in protected sandboxes, and it must be conducted at all stages of technology design, development, and deployment. Such testing must also be informed by technical expertise but cannot be left solely to experts in the technology because of the history of failures to predict how non-experts will use or adapt to new technologies. This interplay between experts and non-experts may be particularly acute for quantum AI because quantum mechanics is notoriously difficult to understand. (As Richard Feynman quipped, "Anyone who claims to understand quantum mechanics is either lying or crazy.") We will discuss the extent to which the difficulties in understanding the physics underlying quantum computing challenges attempts to anticipate new failure modes that might be introduced in AI applications intended for unsupervised operation in the public sphere. (shrink)

Artificial intelligence is increasingly inputting into various human resource management functions, such as sourcing job applicants and selecting staff, allocating work, and offering personalized career coaching. While the use of AI for such tasks can offer many benefits, evidence suggests that without careful and deliberate implementation its use also has the potential to generate significant harms. This raises several ethical concerns regarding the appropriateness of AI deployment to domains such as HRM, which directly deal with managing sometimes sensitive aspects of (...) individuals’ employment lifecycles. However, research at the intersection of HRM and technology continues to largely center on examining what AI can be used for, rather than focusing on the salient factors relevant to its ethical use and examining how to effectively engage human workers in its use. Conversely, the ethical AI literature offers excellent guiding principles for AI implementation broadly, but there remains much scope to explore how these principles can be enacted in specific contexts-of-use. By drawing on ethical AI and task-technology fit literature, this paper constructs a decision-making framework to support the ethical deployment of AI for HRM and guide determinations of the optimal mix of human and machine involvement for different HRM tasks. Doing so supports the deployment of AI for the betterment of work and workers and generates both scholarly and practical outcomes. (shrink)

Should we welcome social robots into interpersonal relationships? In this paper I show that an adequate answer to this question must take three factors into consideration: the psychological vulnerability that characterizes ordinary interpersonal relationships, the normative significance that humans attach to other people’s attitudes in such relationships, and the tendency of humans to anthropomorphize and “mentalize” artificial agents, often beyond their actual capacities. I argue that we should welcome social robots into interpersonal relationships only if they are endowed with a (...) social capacity that is functionally similar to our own capacity for social norms. Drawing on an interdisciplinary body of research on norm psychology, I explain why this capacity is importantly different from pre-programmed, top-down conformity to rules, in that it involves an open-ended responsiveness to social corrective feedback, such as that which humans provide to each other in expressions of praise and blame. (shrink)

This paper examines how digital technologies might be used to improve ethical attitudes towards nonhuman animals, by exploring the case study of nonhuman apes kept in modern zoos. The paper describes and employs a socio-ethical framework for undermining anti-ape prejudice advanced by philosopher Edouard Machery which draws on classic anti-racism strategies from the social sciences. We also discuss how digital technologies might be designed and deployed to enable and enhance rather than impede the three anti-prejudice strategies of contact and interaction, (...) enlightenment, and individualization. In doing so, the paper illuminates the broad potential and limitations of digital technology to both harm and benefit animals via its effects on human ethical attitudes. This examination provides guidance for future projects and empirical work on using digital technologies to promote moral respect for a range of nonhuman animals in different settings. (shrink)

In this paper, we explore and describe what is needed to allow connected and automated vehicles to break traffic rules in order to minimise road safety risk and to operate with appropriate transparency. Reviewing current traffic rules with particular reference to two driving situations, we illustrate why current traffic rules are not suitable for CAVs and why making new traffic rules specifically for CAVs would be inappropriate. In defining an alternative approach to achieving safe CAV driving behaviours, we describe the (...) use of ethical goal functions as part of hybrid AI systems, suggesting that functions should be defined by governmental bodies with input from citizens and stakeholders. Ethical goal functions for CAVs would enable developers to optimise driving behaviours for safety under conditions of uncertainty whilst allowing for differentiation of products according to brand values. Such functions can differ between regions according to preferences for safety behaviours within that region and can be updated over time, responding to continual socio-technological feedback loops. We conclude that defining ethical goal functions is an urgent and necessary step from governmental bodies to enable the safe and transparent operation of CAVs and accelerate the reduction in road casualties they promise to achieve. (shrink)

During the last decade there has been burgeoning research concerning the ways in which we should think of and apply the concept of responsibility for Artificial Intelligence. Despite this conceptual richness, there is still a lack of consensus regarding what Responsible AI entails on both conceptual and practical levels. The aim of this paper is to connect the ethical dimension of responsibility in Responsible AI with Aristotelian virtue ethics, where notions of context and dianoetic virtues play a grounding role for (...) the concept of moral responsibility. The paper starts by highlighting the important difficulties in assigning responsibility to either technologies themselves or to their developers. Top-down and bottom-up approaches to moral responsibility are then contrasted, as we explore how they could inform debates about Responsible AI. We highlight the limits of the former ethical approaches and build the case for classical Aristotelian virtue ethics. We show that two building blocks of Aristotle’s ethics, dianoetic virtues and the context of actions, although largely ignored in the literature, can shed light on how we could think of moral responsibility for both AI and humans. We end by exploring the practical implications of this particular understanding of moral responsibility along the triadic dimensions of ethics by design, ethics in design and ethics for designers. (shrink)

Automated vehicles are expected to operate on public roads, together with non-automated vehicles and other road users such as pedestrians or bicycles. Recent ethical reports and guidelines raise worries that AVs will introduce injustice or reinforce existing social inequalities in road traffic. One major injustice concern in today’s traffic is that different types of road users are exposed differently to risks of corporal harm. In the first part of the paper, we discuss the responsibility of AV developers to address existing (...) injustice concerns regarding risk exposure as well as approaches on how to fulfill the responsibility for a fairer distribution of risk. In contrast to popular approaches on the ethics of risk distribution in unavoidable accident cases, we focus on low and moderate risk situations, referred to as routine driving. For routine driving, the obligation to distribute risks fairly must be discussed in the context of risk-taking and risk-acceptance, balancing safety objectives of occupants and other road users with driving utility. In the second part of the paper, we present a typical architecture for decentralized automated driving which contains a dedicated module for real-time risk estimation and management. We examine how risk estimation modules can be adjusted and parameterized to redress some inequalities. (shrink)

Are acts of violence performed in virtual environments ever morally wrong, even when no other persons are affected? While some such acts surely reflect deficient moral character, I focus on the moral rightness or wrongness of acts. Typically it’s thought that, on Kant’s moral theory, an act of virtual violence is morally wrong (i.e., violate the Categorical Imperative) only if the act mistreats another person. But I argue that, on Kant’s moral theory, some acts of virtual violence can be morally (...) wrong, even when no other persons or their avatars are affected. First, I explain why many have thought that, in general on Kant’s moral theory, virtual acts affecting no other persons or their avatars can’t violate the Categorical Imperative. For there are real world acts that clearly do, but it seems that when we consider the same sorts of acts done alone in a virtual environment, they don’t violate the Categorical Imperative, because no others persons were involved. But then, how could any virtual acts like these, that affect no other persons or their avatars, violate the Categorical Imperative? I then argue that there indeed can be such cases of morally wrong virtual acts—some due to an actor’s having erroneous beliefs about morally relevant facts, and others due not to error, but to the actor’s intention leaving out morally relevant facts while immersed in a virtual environment. I conclude by considering some implications of my arguments for both our present technological context as well as the future. (shrink)

The paper has two goals. The first is presenting the main results of the recent report Ethics of Connected and Automated Vehicles: recommendations on road safety, privacy, fairness, explainability and responsibility written by the Horizon 2020 European Commission Expert Group to advise on specific ethical issues raised by driverless mobility, of which the author of this paper has been member and rapporteur. The second is presenting some broader ethical and philosophical implications of these recommendations, and using these to contribute to (...) the establishment of Ethics of Transportation as an independent branch of applied ethics. The recent debate on the ethics of Connected and Automated Vehicles presents a paradox and an opportunity. The paradox is the presence of a flourishing debate on the ethics of one very specific transportation technology without ethics of transportation being in itself a well-established academic discipline. The opportunity is that now that a spotlight has been switched on the ethical dimensions of CAVs it may be easier to establish a broader debate on ethics of transportation. While the 20 recommendations of the EU report are grouped in three macro-areas: road safety, data ethics, and responsibility, in this paper they will be grouped according to eight philosophical themes: Responsible Innovation, road justice, road safety, freedom, human control, privacy, data fairness, responsibility. These are proposed as the first topics for a new ethics of transportation. (shrink)

How do we ensure that future generally intelligent AI share our values? This is the value-alignment problem. It is a weighty matter. After all, if AI are neutral with respect to our wellbeing, or worse, actively hostile toward us, then they pose an existential threat to humanity. Some philosophers have argued that one important way in which we can mitigate this threat is to develop only AI that shares our values or that has values that ‘align with’ ours. However, there (...) is nothing to guarantee that this policy will be universally implemented—in particular, ‘bad actors’ are likely to flout it. In this paper, I show how the predictive processing model of the mind, currently ascendant in cognitive science, may ameliorate the value-alignment problem. In essence, I argue that there are a plurality of reasons why any future generally intelligent AI will possess a predictive processing cognitive architecture. I also argue that if future generally intelligent AI possess a predictive processing cognitive architecture, then they will come to share our pro-moral motivations, regardless of their initial motivation set. Consequently, these AI will pose a minimal threat to humanity. In this way then, I conclude, the value-alignment problem is significantly ameliorated under the assumption that future generally intelligent AI will possess a predictive processing cognitive architecture. (shrink)

A human driver and an automated driving system might share control of automated vehicles in the near future. This raises many concerns associated with the assignment of responsibility for negative outcomes caused by them; one is that the human driver might be required to bear the brunt of moral and legal responsibilities. The psychological consequences of responsibility misattribution have not yet been examined. We designed a hypothetical crash similar to Uber’s 2018 fatal crash. We incorporated five legal responsibility attributions. Participants (...) chose their preferred liability attribution and then were randomly assigned into one of the five actual liability attribution conditions. They then responded to a series of questions concerning liability assignment, the crash, and AVs. Slightly more than 50% of participants thought that the human driver should bear full or primary liability. Legal responsibility misattribution negatively influenced these mentioned responses, regardless of overly attributing human or manufacturer liability. Overly attributing human liability had more negative influences. Improper liability attribution might hinder the adoption of AVs. Public opinion should not be ignored in developing a legal framework for AVs. (shrink)

The problem of fair machine learning has drawn much attention over the last few years and the bulk of offered solutions are, in principle, empirical. However, algorithmic fairness also raises important conceptual issues that would fail to be addressed if one relies entirely on empirical considerations. Herein, I will argue that the current debate has developed an empirical framework that has brought important contributions to the development of algorithmic decision-making, such as new techniques to discover and prevent discrimination, additional assessment (...) criteria, and analyses of the interaction between fairness and predictive accuracy. However, the same framework has also suggested higher-order issues regarding the translation of fairness into metrics and quantifiable trade-offs. Although the tools which have been developed so far are essential to address discrimination encoded in data and algorithms, their integration into society elicits key questions such as: What kind of assumptions and decisions underlies the empirical framework? How do the results of the empirical approach penetrate public debate? What kind of reflection and deliberation should stakeholders have over available fairness metrics? I will outline the empirical approach to fair machine learning, i.e. how the problem is framed and addressed, and suggest that there are important non-empirical issues that should be tackled. While this work will focus on the problem of algorithmic fairness, the lesson can extend to other conceptual problems in the analysis of algorithmic decision-making such as privacy and explainability. (shrink)

Data analytics and data-driven approaches in Machine Learning are now among the most hailed computing technologies in many industrial domains. One major application is predictive analytics, which is used to predict sensitive attributes, future behavior, or cost, risk and utility functions associated with target groups or individuals based on large sets of behavioral and usage data. This paper stresses the severe ethical and data protection implications of predictive analytics if it is used to predict sensitive information about single individuals or (...) treat individuals differently based on the data many unrelated individuals provided. To tackle these concerns in an applied ethics, first, the paper introduces the concept of “predictive privacy” to formulate an ethical principle protecting individuals and groups against differential treatment based on Machine Learning and Big Data analytics. Secondly, it analyses the typical data processing cycle of predictive systems to provide a step-by-step discussion of ethical implications, locating occurrences of predictive privacy violations. Thirdly, the paper sheds light on what is qualitatively new in the way predictive analytics challenges ethical principles such as human dignity and the notion of individual privacy. These new challenges arise when predictive systems transform statistical inferences, which provide knowledge about the cohort of training data donors, into individual predictions, thereby crossing what I call the “prediction gap”. Finally, the paper summarizes that data protection in the age of predictive analytics is a collective matter as we face situations where an individual’s privacy is violated using data other individuals provide about themselves, possibly even anonymously. (shrink)

We address the considerations of the European Commission Expert Group on the ethics of connected and automated vehicles regarding data provision in the event of collisions. While human drivers’ appropriate post-collision behavior is clearly defined, regulations for automated driving do not provide for collision detection. We agree it is important to systematically incorporate citizens’ intuitions into the discourse on the ethics of automated vehicles. Therefore, we investigate whether people expect automated vehicles to behave like humans after an accident, even if (...) this behavior does not directly affect the consequences of the accident. We find that appropriate post-collision behavior substantially influences people’s evaluation of the underlying crash scenario. Moreover, people clearly think that automated vehicles can and should record the accident, stop at the site, and call the police. They are even willing to pay for technological features that enable post-collision behavior. Our study might begin a research program on post-collision behavior, enriching the empirically informed study of automated driving ethics that so far exclusively focuses on pre-collision behavior. (shrink)

The ethical dilemma of whether autonomous vehicles should protect the passengers or pedestrians when harm is unavoidable has been widely researched and debated. Several behavioral scientists have sought public opinion on this issue, based on the premise that EDs are critical to resolve for AV adoption. However, many scholars and industry participants have downplayed the importance of these edge cases. Policy makers also advocate a focus on higher level ethical principles rather than on a specific solution to EDs. But conspicuously (...) absent from this debate is the view of the consumers or potential adopters, who will be instrumental to the success of AVs. The current research investigated this issue both from a theoretical standpoint and through empirical research. The literature on innovation adoption and risk perception suggests that EDs will be heavily weighted by potential adopters of AVs. Two studies conducted with a broad sample of consumers verified this assertion. The results from these studies showed that people associated EDs with the highest risk and considered EDs as the most important issue to address as compared to the other technical, legal and ethical issues facing AVs. As such, EDs need to be addressed to ensure robustness in the design of AVs and to assure consumers of the safety of this promising technology. Some preliminary evidence is provided about interventions to resolve the social dilemma in EDs and about the ethical preferences of prospective early adopters of AVs. (shrink)

Rescue operations taking place in disaster settings can be fraught with ethical challenges. Further ethical challenges will likely be introduced by the use of robots, which are expected to soon become commonplace in search and rescue missions and disaster recovery efforts. To help focus timely reflection on the ethical considerations associated with the deployment of rescue robots, we have conducted a scoping review exploring the relevant academic literature following a widely recognized scoping review framework. Of the 429 papers identified by (...) the first screening, six fulfilled the selection criteria of our literature review. Quantitative data synthesis showed that a subset of the papers includes a qualitative experimental exploration of the ethical issues at hand, with workshops involving both experts and potential users. Most use simulations or scenarios to anticipate the ethical implications and other consequences of using robots in search and rescue missions. Qualitative text analysis identified seven core ethically relevant themes: fairness and discrimination; false or excessive expectations; labor replacement; privacy; responsibility; safety; trust. Our results suggest that the literature on ethics in rescue robotics is scant and disparate, but the papers identified uniformly endorsed a proactive approach to handling the ethical concerns associated with the use of robots in disaster scenarios. (shrink)

Self-driving cars promise solutions to some of the hazards of human driving but there are important questions about the safety of these new technologies. This paper takes a qualitative social science approach to the question ‘how safe is safe enough?’ Drawing on 50 interviews with people developing and researching self-driving cars, I describe two dominant narratives of safety. The first, safety-in-numbers, sees safety as a self-evident property of the technology and offers metrics in an attempt to reassure the public. The (...) second approach, safety-by-design, starts with the challenge of safety assurance and sees the technology as intrinsically problematic. The first approach is concerned only with performance—what a self-driving system does. The second is also concerned with why systems do what they do and how they should be tested. Using insights from workshops with members of the public, I introduce a further concern that will define trustworthy self-driving cars: the intended and perceived purposes of a system. Engineers’ safety assurances will have their credibility tested in public. ‘How safe is safe enough?’ prompts further questions: ‘safe enough for what?’ and ‘safe enough for whom?’. (shrink)

Over the years, companies have adopted hiring algorithms because they promise wider job candidate pools, lower recruitment costs and less human bias. Despite these promises, they also bring perils. Using them can inflict unintentional harms on individual human rights. These include the five human rights to work, equality and nondiscrimination, privacy, free expression and free association. Despite the human rights harms of hiring algorithms, the AI ethics literature has predominantly focused on abstract ethical principles. This is problematic for two reasons. (...) First, AI principles have been criticized for being vague and not actionable. Second, the use of vague ethical principles to discuss algorithmic risks does not provide any accountability. This lack of accountability creates an algorithmic accountability gap. Closing this gap is crucial because, without accountability, the use of hiring algorithms can lead to discrimination and unequal access to employment opportunities. This paper makes two contributions to the AI ethics literature. First, it frames the ethical risks of hiring algorithms using international human rights law as a universal standard for determining algorithmic accountability. Second, it evaluates four types of algorithmic impact assessments in terms of how effectively they address the five human rights of job applicants implicated in hiring algorithms. It determines which of the assessments can help companies audit their hiring algorithms and close the algorithmic accountability gap. (shrink)

The COVID-19 pandemic has brought the long-standing public health practice of contact tracing into the public spotlight. While contact tracing and case investigation have been carefully designed to protect privacy, the huge volume of tracing which is being carried out as part of the pandemic response in the United States is highlighting potential concerns around privacy, legality, and equity. Contact tracing during the pandemic has gained particular attention for the new use of digital technologies—both on the consumer side in the (...) form of Exposure Notification applications, and for public health agencies as digital case management software systems enable massive scaling of operations. While the consumer application side of digital innovation has dominated the news and academic discourse around privacy, people are likely to interact more intensively with public health agencies and their use of digital case management systems. Effective use of digital case management for contact tracing requires revisiting the existing legal frameworks, privacy protections, and security practices for management of sensitive health data. The scale of these tools and demands of an unprecedented pandemic response are introducing new risks through the collection of huge volumes of data, and expanding requirements for more adept data sharing among jurisdictions. Public health agencies must strengthen their best practices for data collection and protection even in the absence of comprehensive or clear guidance. This requires navigating a difficult balance between rigorous data protection and remaining highly adaptive and agile. (shrink)

Contemporary privacy theories and European discussions about data protection employ the notion of ‘personal information’ to designate their areas of concern. The notion of personal information is demarcated from non-personal information—or just information—indicating that we are dealing with a specific kind of information. However, within privacy scholarship the notion of personal information appears undertheorized, rendering the concept somewhat unclear. We argue that in an age of datafication, protection of personal information and privacy is crucial, making the understanding of what is (...) meant by ‘personal information’ more important than ever. To contribute to this aim, we analyse the conception of personal information and its nature, including the distinction between personal and non-personal information from a philosophy of language perspective. Through analyses of aboutness and relative aboutness we point to challenges related to the demarcation between personal and non-personal information, which may in practice lead to all information being personal. (shrink)

Interactions between humans and machines that include artificial intelligence are increasingly common in nearly all areas of life. Meanwhile, AI-products are increasingly endowed with emotional characteristics. That is, they are designed and trained to elicit emotions in humans, to recognize human emotions and, sometimes, to simulate emotions. The introduction of such systems in our lives is met with some criticism. There is a rather strong intuition that there is something wrong about getting attached to a machine, about having certain emotions (...) towards it, and about getting involved in a kind of affective relationship with it. In this paper, I want to tackle these worries by focusing on the last aspect: in what sense could it be problematic or even wrong to establish an emotional relationship with EAI-systems? I want to show that the justifications for the widespread intuition concerning the problems are not as strong as they seem at first sight. To do so, I discuss three arguments: the argument from self-deception, the argument from lack of mutuality, and the argument from moral negligence. (shrink)

Humanoid robots used for sexual purposes are beginning to look increasingly lifelike. It is possible for a user to have a bespoke sexbot created which matches their exact requirements in skin pigmentation, hair and eye colour, body shape, and genital design. This means that it is possible—and increasingly easy—for a sexbot to be created which bears a very high degree of resemblance to a particular person. There is a small but steadily increasing literature exploring some of the ethical issues surrounding (...) sexbots, however sexbots made to look like particular people is something which, as yet, has not been philosophically addressed in the literature. In this essay I argue that creating a lifelike sexbot to represent and resemble someone is an act of sexual objectification which morally requires consent, and that doing so without the person’s consent is intrinsically wrong. I consider two sexbot creators: Roy and Fred. Roy creates a sexbot of Katie with her consent, and Fred creates a sexbot of Jane without her consent. I draw on the work of Alan Goldman, Rae Langton, and Martha Nussbaum in particular to demonstrate that creating a sexbot of a particular person requires consent if it is to be intrinsically permissible. (shrink)

A volunteer effort by Artificial Intelligence researchers has shown it can deliver significant research outcomes rapidly to help tackle COVID-19. Within two months, CLAIRE’s self-organising volunteers delivered the World’s first comprehensive curated repository of COVID-19-related datasets useful for drug-repurposing, drafted review papers on the role CT/x-ray scan analysis and robotics could play, and progressed research in other areas. Given the pace required and nature of voluntary efforts, the teams faced a number of challenges. These offer insights in how better to (...) prepare for future volunteer scientific efforts and large scale, data-dependent AI collaborations in general. We offer seven recommendations on how to best leverage such efforts and collaborations in the context of managing future crises. (shrink)

The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by the app are all sent to a nation-wide server, raises concerns about citizens’ privacy (...) and needlessly strong digital surveillance, thus alerting us to the need to minimize personal data collection and avoiding location tracking. We advocate the conceptual advantage of a decentralized approach, where both contact and location data are collected exclusively in individual citizens’ “personal data stores”, to be shared separately and selectively, voluntarily, only when the citizen has tested positive for COVID-19, and with a privacy preserving level of granularity. This approach better protects the personal sphere of citizens and affords multiple benefits: it allows for detailed information gathering for infected people in a privacy-preserving fashion; and, in turn this enables both contact tracing, and, the early detection of outbreak hotspots on more finely-granulated geographic scale. The decentralized approach is also scalable to large populations, in that only the data of positive patients need be handled at a central level. Our recommendation is two-fold. First to extend existing decentralized architectures with a light touch, in order to manage the collection of location data locally on the device, and allow the user to share spatio-temporal aggregates—if and when they want and for specific aims—with health authorities, for instance. Second, we favour a longer-term pursuit of realizing a Personal Data Store vision, giving users the opportunity to contribute to collective good in the measure they want, enhancing self-awareness, and cultivating collective efforts for rebuilding society. (shrink)

Synthetic biology, as an engineering approach to biological systems, has the potential to disruptively innovate the development of vaccines, therapeutics, and diagnostics. Data accessibility and differences in data-usage capabilities are important factors in shaping this innovation landscape. In this paper, the data that underpin synthetic biology responses to the COVID-19 pandemic are analyzed as positional information goods—goods whose value depends on exclusivity. The positionality of biological data impacts the ability to guide innovations toward societally preferred goals. From both an ethical (...) and economic point of view, positionality can lead to suboptimal as well as beneficial situations. When aiming for responsible innovation, it is important to consider hurdles and facilitators in data access and use. Central governance and knowledge commons provide routes to mitigate the negative effects of data positionality. (shrink)

In the Netherlands, as in many other nations, the government has proposed the use of a contact-tracing app as a means of helping to contain the spread of the corona virus. The discussion about the use of such an app has mostly been framed in terms of a tradeoff between privacy and public health. This research statement presents an analysis of the Dutch public debate on Corona-apps by using the framework of Orders of Worth by Boltanski and Thévenot. It argues (...) that this framework can help us to move beyond the dichotomy of privacy vs. public health by recognizing a plurality of conceptions of the common good in the debate about contact-tracing apps. This statement presents six orders of worth present in the Dutch debate: civic, domestic, vitality, market, industrial and project, and argues that the identification of which common goods are at stake will contribute to discussions about the use of this technology from a standpoint with a richer ethical perspective. (shrink)

This research statement presents a roadmap for the ethical evaluation of contact tracing apps. Assuming the possible development of an effective and secure contact tracing app, this roadmap explores three ethical concerns—privacy, data monopolists and coercion- based on three scenarios. The first scenario envisions and critically evaluates an app that is built on the conceptualization of privacy as anonymity and a mere individual right rather than a social value. The second scenario sketches and critically discusses an app that adequately addresses (...) privacy concerns but is facilitated by data monopolists such as Google and Apple. The final scenario discusses the coerced installation and use of a privacy-friendly, independently developed contact tracing app. The main worry is coercion through societal exclusion and limited societal participation. The statement concludes with three suggestions for designing an ethical contact tracing app and a research agenda. (shrink)

So-called digital tracking and tracing systems have been proposed as a means to prevent the spread of SARS-CoV-2. There are ethical guidelines and evaluations of such systems available. As part of a research project, I will build on and critically evaluate the foundations of such guidelines. The goal is to provide both incremental improvements of the specific requirements for DTTSs and to present and discuss more fundamental challenge, the risk for indirect effects and slippery slopes. The nature of slippery slopes (...) makes ethical guidelines more difficult since it requires a more complex analysis than, for example, using a checklist allows for. (shrink)

In the early months of 2020, the deadly Covid-19 disease spread rapidly around the world. In response, national and regional governments implemented a range of emergency lockdown measures, curtailing citizens’ movements and greatly limiting economic activity. More recently, as restrictions begin to be loosened or lifted entirely, the use of so-called contact tracing apps has figured prominently in many jurisdictions’ plans to reopen society. Critics have questioned the utility of such technologies on a number of fronts, both practical and ethical. (...) However, little has been said about the ways in which the normative design choices of app developers, and the products that result therefrom, might contribute to ethical reflection and wider political debate. Drawing from scholarship in critical design and human–computer interaction, this paper examines the development of a QR code-based tracking app called Zwaai, where its designers explicitly positioned the app as an alternative to the predominant Bluetooth and GPS-based approaches. Through analyzing these designers’ choices, this paper argues that QR code infrastructures can work to surface a set of ethical–political seams, two of which are discussed here—responsibilization and networked permanence—that more ‘seamless’ protocols like Bluetooth actively aim to bypass, and which may go otherwise unnoticed by existing ethical frameworks. (shrink)

Online therapy sessions and other forms of digital mental health services (DMH) have seen a sharp spike in new users since the start of the COVID-19 pandemic. Having little access to their social networks and support systems, people have had to turn to digital tools and spaces to cope with their experiences of anxiety and loss. With no clear end to the pandemic in sight, many of us are likely to remain reliant upon DMH for the foreseeable future. As such, (...) it is important to articulate some of the specific ways in which the pandemic is affecting our self and world-relation, such that we can identify how DMH services are best able to accommodate some of the newly emerging needs of their users. In this paper I will identify a specific type of loss brought about by the COVID-19 pandemic and present it as an important concept for DMH. I refer to this loss as loss of perceptual world-familiarity. Loss of perceptual world-familiarity entails a breakdown in the ongoing effortless responsiveness to our perceptual environment that characterizes much of our everyday lives. To cash this out I will turn to insights from the phenomenological tradition. Initially, my project is descriptive. I aim to bring out how loss of perceptual world-familiarity is a distinctive form of loss that is deeply pervasive yet easily overlooked-hence the relevance of explicating it for DMH purposes. But I will also venture into the space of the normative, offering some reasons for seeing perceptual world-familiarity as a component of well-being. I conclude the paper with a discussion of how loss of perceptual world-familiarity affects the therapeutic setting now that most if not all therapeutic interactions have transitioned to online spaces and I explore the potential to augment these spaces with social interaction technologies. Throughout, my discussion aims to do justice to the reality that perceptual world-familiarity is not an evenly distributed phenomenon, that factors like disability, gender and race affect its robustness, and that this ought to be reckoned with when seeking to incorporate the phenomenon into or mitigate it through DMH services. (shrink)

Digital tracing technologies are heralded as an effective way of containing SARS-CoV-2 faster than it is spreading, thereby allowing the possibility of easing draconic measures of population-wide quarantine. But existing technological proposals risk addressing the wrong problem. The proper objective is not solely to maximise the ratio of people freed from quarantine but to also ensure that the composition of the freed group is fair. We identify several factors that pose a risk for fair group composition along with an analysis (...) of general lessons for a philosophy of technology. Policymakers, epidemiologists, and developers can use these risk factors to benchmark proposal technologies, curb the pandemic, and keep public trust. (shrink)

People share their emotions on social media and evidence suggests that in times of crisis people are especially motivated to post emotional content. The current Coronavirus pandemic is such a crisis. The online sharing of emotional content during the Coronavirus crisis may contribute to societal value change. Emotion sharing via social media could lead to emotional contagion which in turn could facilitate an emotional climate in a society. In turn, the emotional climate of a society can influence society’s value structure. (...) The emotions that spread in the current Coronavirus crisis are predominantly negative, which could result in a negative emotional climate. Based on the dynamic relations of values to each other and the way that emotions relate to values, a negative emotional climate can contribute to societal value change towards values related to security preservation and threat avoidance. As a consequence, a negative emotional climate and the shift in values could lead to a change in political attitudes that has implications for rights, freedom, privacy and moral progress. Considering the impact of social media in terms of emotional contagion and a longer-lasting value change is an important perspective in thinking about the ethical long-term impact of social media technology. (shrink)

Since the outbreak of COVID-19, governments have turned their attention to digital contact tracing. In many countries, public debate has focused on the risks this technology poses to privacy, with advocates and experts sounding alarm bells about surveillance and mission creep reminiscent of the post 9/11 era. Yet, when Apple and Google launched their contact tracing API in April 2020, some of the world’s leading privacy experts applauded this initiative for its privacy-preserving technical specifications. In an interesting twist, the tech (...) giants came to be portrayed as greater champions of privacy than some democratic governments. This article proposes to view the Apple/Google API in terms of a broader phenomenon whereby tech corporations are encroaching into ever new spheres of social life. From this perspective, the advantage these actors have accrued in the sphere of the production of digital goods provides them with access to the spheres of health and medicine, and more worrisome, to the sphere of politics. These sphere transgressions raise numerous risks that are not captured by the focus on privacy harms. Namely, a crowding out of essential spherical expertise, new dependencies on corporate actors for the delivery of essential, public goods, the shaping of public policy by non-representative, private actors and ultimately, the accumulation of decision-making power across multiple spheres. While privacy is certainly an important value, its centrality in the debate on digital contact tracing may blind us to these broader societal harms and unwittingly pave the way for ever more sphere transgressions. (shrink)

Social isolation and loneliness are ongoing threats to health made worse by the coronavirus disease 2019 pandemic. During the pandemic, half the globe's population have been placed under strict physical distancing orders and many long-term care facilities serving older adults went into lockdown mode, restricting access to all visitors, including family members. Before the pandemic emerged, a 2020 National Academy of Sciences, Engineering and Medicine report warned of the underappreciated adverse effects of social isolation and loneliness on health, especially among (...) older populations. Social isolation and loneliness predict all-cause mortality at rates that rival clinical risk factors, such as obesity and smoking; they are associated with greater incidence of psychological, cognitive, and physical morbidities. This paper sets forth a proposal to design robots to function as companions and friends for socially isolated and lonely older people during pandemic emergencies and in aging societies more generally. “The proposal” section presents and defends the proposal. The “Replies to objections” section answers objections based on coercive design, replacement of humans with robots, privacy incursions, and counterfeit companionship. The “Conclusion” section submits that sociable robots offer a promising avenue for addressing social isolation and loneliness during pandemics and hold promise for aging societies more broadly. (shrink)

According to a recent survey by the HR Research Institute, as the presence of artificial intelligence (AI) becomes increasingly common in the workplace, HR professionals are worried that the use of recruitment algorithms will lead to a “dehumanization” of the hiring process. Our main goals in this paper are threefold: i) to bring attention to this neglected issue, ii) to clarify what exactly this concern about dehumanization might amount to, and iii) to sketch an argument for why dehumanizing the hiring (...) process is ethically suspect. After distinguishing the use of the term “dehumanization” in this context (i.e., removing the human presence) from its more common meaning in the interdisciplinary field of dehumanization studies (i.e., conceiving of other humans as subhuman), we argue that the use of hiring algorithms may negatively impact the employee-employer relationship. We argue that there are good independent reasons to accept a substantive employee-employer relationship, as well as an applicant-employer relationship, both of which are consistent with a stakeholder theory of corporate obligations. We further argue that dehumanizing the hiring process may negatively impact these relationships because of the difference between the values of human recruiters and the values embedded in recruitment algorithms. Drawing on Nguyen’s (2021) critique of how Twitter “gamifies communication”, we argue that replacing human recruiters with algorithms imports artificial values into the hiring process. We close by briefly considering some ways to potentially mitigate the problems posed by recruitment algorithms, along with the possibility that some difficult trade-offs will need to be made. (shrink)

The study aimed to promote the school online, provide timely, engaging, and current information of the school to employees, learners, parents, and community, share updates of school activities online, supply downloadable instructional materials and resources for both employees and students. Also, it evaluated the assessment of teaching and non-teaching staff, learners, parents and IT specialists to the ISO 25010:2011 software quality standards of the developed Web-based School Information and Publication System along functional and suitability, maintainability, usability, security, reliability, performance efficiency, (...) compatibility, and portability. This study was descriptive and developmental research. The researcher used the iterative waterfall software methodology. The overall assessment on the Web-Based School Information and Publication System in its quality and standard was “Excellent”. Furthermore, based on the findings, the system was beneficial and informative for the school, especially for learners. It was determined that the system was generally acceptable and conformed to the quality software characteristics needed by ISO 25010:2011 standards. (shrink)

Video surveillance is an omnipresent phenomenon in today’s metropolitan life. Mainly intended to solve crimes, to prevent them by realtime-monitoring or simply as a deterrent, video surveillance has also become interesting in economical contexts; e.g. to create customer profiles and analyse patterns of their shopping behaviour. The extensive use of video surveillance is challenged by legal claims and societal norms like not putting everybody under generalised suspicion or not recording people without their consent. In this work we propose a technological (...) solution to balance the positive and negative effects of video surveillance. With automatic image recognition algorithms on the rise, we suggest to use that technology to not just automatically identify people but blacken their images. This blackening is done with a cryptographic procedure allowing to revoke it with an appropriate key. Many of the legal and ethical objections to video surveillance could thereby be accommodated. In commercial scenarios, the operator of a customer profiling program could offer enticements for voluntarily renouncing one’s anonymity. Customers could e.g. wear a small infrared LED to signal their agreement to being tracked. After explaining the implementation details, this work outlines a multidisciplinary discussion incorporating an economic, ethical and legal viewpoint. (shrink)

Videoüberwachung ist heute allgegenwärtig. Sie dient dazu, Delikte im Nachhinein aufzuklären, zur Echtzeit-Überwachung oder zur Abschreckung. Darüber hinaus gibt es aber auch wirtschaftliche Interessen für eine Videoüberwachung und automatische Erfassung von Personen – z.B. zur Erstellung von Kundenprofilen und somit zur Analyse von Kaufverhalten. Dem gegenüber stehen Rechtsanspruche sowie ethische und gesellschaftliche Grundnormen, etwa dass Menschen nicht unter Generalverdacht gestellt oder ohne Zustimmung aufgezeichnet werden dürfen. In dieser Arbeit wird ein technischer Lösungsansatz behandelt, der eine flexible Handhabung der Videoüberwachung erlaubt. (...) Es werden in diesem Zusammenhang neben der technischen Umsetzung auch ökonomische, ethische und juristische Fragen betrachtet. Der Lösungsansatz besteht darin, Personen auf Videoaufnahmen durch ein kryptographisches Verfahren unkenntlich zu machen, noch bevor die Aufnahmen die Kamera-Elektronik verlassen. Nur mittels eines geheimen kryptographischen Schlüssels können einzelne Zeit- und Bildbereiche einer Aufnahme wieder deanonymisiert werden, wodurch rechtlichen wie ethischen Bedenken Rechnung getragen werden kann. In kommerziellen Szenarien erlaubt es diese digitale Tarnkappe, dass Kunden z.B. im Rahmen eines Prämien-Programms freiwillig auf Anonymisierung verzichten. Während in der Literatur der Informatik bereits seit längerem Technologien für solche System beschrieben werden, werden in dieser Arbeit Wege gezeigt, wie dessen Einbettung in die Gesellschaft wirklich realisiert werden könnte. (shrink)

The study of the ethical issues related to computer use developed primarily in the 1980s, although a number of important papers were published in previous decades, many of which are contained in this volume. Computer ethics, as the field became known, flourished in the following decades. The emphasis initially was more on the computing profession: on questions related to the development of systems, the behaviour of computing professionals and so on. Later the focus moved to the Internet and to users (...) of computer and related communication technologies. This book reflects these different emphases and has articles on most of the important issues, organised into sections on the history and nature of computer ethics, cyberspace, values and technology, responsibility and professionalism, privacy and surveillance, what computers should not do and morality and machines. (shrink)

The essential difficulty about Computer Ethics’ (CE) philosophical status is a methodological problem: standard ethical theories cannot easily be adapted to deal with CE-problems, which appear to strain their conceptual resources, and CE requires a conceptual foundation as an ethical theory. Information Ethics (IE), the philosophical foundational counterpart of CE, can be seen as a particular case of ‘environmental’ ethics or ethics of the infosphere. What is good for an information entity and the infosphere in general? This is the ethical (...) question asked by IE. The answer is provided by a minimalist theory of deserts: IE argues that there is something more elementary and fundamental than life and pain, namely being, understood as information, and entropy, and that any information entity is to be recognised as the centre of a minimal moral claim, which deserves recognition and should help to regulate the implementation of any information process involving it. IE can provide a valuable perspective from which to approach, with insight and adequate discernment, not only moral problems in CE, but also the whole range of conceptual and moral phenomena that form the ethical discourse. (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)

Computer scientists have made great strides in characterizing different measures of algorithmic fairness, and showing that certain measures of fairness cannot be jointly satisfied. In this paper, I argue that the three most popular families of measures - unconditional independence, target-conditional independence and classification-conditional independence - make assumptions that are unsustainable in the context of an unjust world. I begin by introducing the measures and the implicit idealizations they make about the underlying causal structure of the contexts in which they (...) are deployed. I then discuss how these idealizations fall apart in the context of historical injustice, ongoing unmodeled oppression, and the permissibility of using sensitive attributes to rectify injustice. In the final section, I suggest an alternative framework for measuring fairness in the context of existing injustice: distributive fairness. (shrink)

Does cruel behavior towards robots lead to vice, whereas kind behavior does not lead to virtue? This paper presents a critical response to Sparrow’s argument that there is an asymmetry in the way we (should) think about virtue and robots. It discusses how much we should praise virtue as opposed to vice, how virtue relates to practical knowledge and wisdom, how much illusion is needed for it to be a barrier to virtue, the relation between virtue and consequences, the moral (...) relevance of the reality requirement and the different ways one can deal with it, the risk of anthropocentric bias in this discussion, and the underlying epistemological assumptions and political questions. This response is not only relevant to Sparrow’s argument or to robot ethics but also touches upon central issues in virtue ethics. (shrink)

The Chinese government and technology companies assume a proactive stance towards digital technologies and AI and their roles in users’—and more generally, people’s—lives. This vision of ‘Tech for Good’, i.e., the development of good digital technologies and AI or the application of them for good, is also shared by major technology companies in the globe, e.g., Google, Microsoft, and Facebook. Interestingly, these initiatives have invited a number of critiques for their feasibility and desirability, particularly in relation to the social and (...) political conditions of liberal democratic societies. In this article, I discuss whether these critiques also apply to the Chinese context and contend that Confucian philosophy provides the normative resources to answer these critiques. This cross-cultural analysis, therefore, allows us to formulate a different account of AI4SG, which I shall call ‘AI for Datong’, and helps us in our reimagining of the normative vision for AI. (shrink)

Papers presented at a Hungarian Academy of Sciences online workshop held on May 27, 2021.