Studying the neural correlates of conscious awareness depends on a reliable comparison between activations associated with awareness and unawareness. One particularly difficult confound to remove is task performance capacity, i.e. the difference in performance between the conditions of interest. While ideally task performance capacity should be matched across different conditions, this is difficult to achieve experimentally. However, differences in performance could theoretically be corrected for mathematically. One such proposal is found in a recent paper by Lamy, Salti and Bar-Haim [Lamy (...) D, Salti M, Bar-Haim Y. Neural correlates of subjective awareness and unconscious processing: an ERP study. J Cognitive Neurosci 2009,21:1435-46], who put forward a corrective method for an electroencephalography experiment. We argue that their analysis is essentially grounded in a version of High Threshold Theory, which has been shown to be inferior in general to Signal Detection Theory. We show through a series of computer simulations that their correction method only partially removes the influence of perfor- mance capacity, which can yield misleading results. We present a mathematical correction method based on Signal Detection Theory that is theoretically capable of removing performance capacity confounds. We discuss the limitations of mathemati- cally correcting for performance capacity confounds in imaging studies and its impact for theories about consciousness. (shrink)

Since some AI algorithms with high predictive power have impacted human integrity, safety has become a crucial challenge in adopting and deploying AI. Although it is impossible to prevent an algorithm from failing in complex tasks, it is crucial to ensure that it fails safely, especially if it is a critical system. Moreover, due to AI’s unbridled development, it is imperative to minimize the methodological gaps in these systems’ engineering. This paper uses the well-known Box-Jenkins method for statistical modeling as (...) a framework to identify engineering pitfalls in the adjustment and validation of AI models. Step by step, we point out state-of-the-art strategies and good practices to tackle these engineering drawbacks. In the final step, we integrate an internal and external validation scheme that might support an iterative evaluation of the normative, perceived, substantive, social, and environmental safety of all AI systems. (shrink)

The present paper analyses the topic of scientific discovery and the problem of the existence of a logical framework involved in such endeavour. We inquire how several non-monotonic logic frameworks and other formalisms can account for such a task. In the same vein, we analyse some key aspects of the historical and theoretical debate surrounding scientific discovery, in particular, the context of discovery and context of justification context distinction. We present an argument concerning the weakening of the discovery/justification context dichotomy (...) based on the descriptive accent contained in the non-monotonic logic perspective together with its epistemological concerns. (shrink)

When visual attention is directed away from a stimulus, neural processing is weak and strength and precision of sensory data decreases. From a computational perspective, in such situations observers should give more weight to prior expectations in order to behave optimally during a discrimination task. Here we test a signal detection theoretic model that counter-intuitively predicts subjects will do just the opposite in a discrimination task with two stimuli, one attended and one unattended: when subjects are probed to discriminate (...) the unattended stimulus, they rely less on prior information about the probed stimulus’ identity. The model is in part inspired by recent findings that attention reduces trial-by-trial variability of the neuronal population response and that they use a common criterion for attended and unattended trials. In five different visual discrimination experiments, when attention was directed away from the target stimulus, subjects did not adjust their response bias in reaction to a change in stimulus presentation frequency despite being fully informed and despite the presence of performance feedback and monetary and social incentives. This indicates that subjects did not rely more on the priors under conditions of inattention as would be predicted by a Bayes-optimal observer model. These results inform and constrain future models of Bayesian inference in the human brain. (shrink)

Synthetic biology, as a research field, brings together molecular life scientists, computational biologists, and social scientists to engineer biological systems toward societally desired goals. Given the field’s broad multidisciplinarity and relatively young age, innovative educational methods are required to provide students with the needed background knowledge to push the field forward in the future. The international Genetically Engineered Machine competition is such an example where education and high-level research merge, providing the synthetic biology field with trained students, new ideas, (...) and novel results. In the 2021 edition alone, 343 teams from across the world completed the competition to tackle societal problems with synthetic biology. As Wageningen University & Research celebrates 10 years of participation in iGEM, we share our thoughts and experiences on supervising iGEM teams, which is especially relevant to organizers of current and new teams, and also others interested in the iGEM competition. (shrink)

Providing meaningful and actionable explanations for end-users is a situated problem requiring the intersection of multiple disciplines to address social, operational, and technical challenges. However, the explainable artificial intelligence community has not commonly adopted or created tangible design tools that allow interdisciplinary work to develop reliable AI-powered solutions. This paper proposes a formative architecture that defines the explanation space from a user-inspired perspective. The architecture comprises five intertwined components to outline explanation requirements for a task: (1) the end-users’ mental models, (...) (2) the end-users’ cognitive process, (3) the user interface, (4) the Human-Explainer Agent, and (5) the agent process. We first define each component of the architecture. Then, we present the Abstracted Explanation Space, a modeling tool that aggregates the architecture’s components to support designers in systematically aligning explanations with end-users’ work practices, needs, and goals. It guides the specifications of what needs to be explained (content: end-users’ mental model), why this explanation is necessary (context: end-users’ cognitive process), to delimit how to explain it (format: Human-Explainer Agent and user interface), and when the explanations should be given. We then exemplify the tool’s use in an ongoing case study in the aircraft maintenance domain. Finally, we discuss possible contributions of the tool, known limitations or areas for improvement, and future work to be done. (shrink)

This paper presents a method to compute a posteriori probability intervals when the initial conditional information is also given with probability intervals. The right way to make an exact computation is with the associated convex set of probabilities. Probability trees are used to represent these initial conditional convex sets because they greatly save the space required. This paper proposes a simulated annealing algorithm, which uses probability trees to represent the convex sets in order to compute the a posteriori intervals.

Explainable artificial intelligence has become a vitally important research field aiming, among other tasks, to justify predictions made by intelligent classifiers automatically learned from data. Importantly, efficiency of automated explanations may be undermined if the end user does not have sufficient domain knowledge or lacks information about the data used for training. To address the issue of effective explanation communication, we propose a novel information-seeking explanatory dialogue game following the most recent requirements to automatically generated explanations. Further, we generalise our (...) dialogue model in form of an explanatory dialogue grammar which makes it applicable to interpretable rule-based classifiers that are enhanced with the capability to provide textual explanations. Finally, we carry out an exploratory user study to validate the corresponding dialogue protocol and analyse the experimental results using insights from process mining and argument analytics. A high number of requests for alternative explanations testifies the need for ensuring diversity in the context of automated explanations. (shrink)

Confidence can dissociate from perceptual accuracy, suggesting distinct computational and neural processes underlie these psychological functions. Recent investigations have therefore sought to experimentally isolate metacognitive processes by creating conditions where perceptual sensitivity is matched but confidence differs (“matched-performance / different-confidence”; MPDC). Despite these endeavors’ success, much remains unknown about MPDC effects and how to best harness them in experimental settings. Here we developed a principled approach to comprehensively characterizing MPDC effects through analyzing metaperceptual (i.e., type 2 psychometric) functions relating (...) objective performance to subjective confidence across widely varying performance levels and experimental manipulations. We found that MPDC effect magnitude depends on stimulus properties, observers’ sensitivity level, and critically on trial type order (blocked or interleaved across stimulus property variations). Our findings provide the first comprehensive exploration of MPDC effects, offer a prescriptive guide to metaperceptual analysis, and suggest optimal experimental paradigms for experimentally isolating metacognition and awareness in future studies. (shrink)

Abstract:John Dewey argued that for education to be democratic, it is important for students to be not merely spectators but also participants in learning. Teachers sometimes find personal computing devices to be distracting or to contribute to passivity rather than activity in the classroom. In this essay we examine the question of whether a student’s Google search on a subject matter discussed in class is participatory or passive. We argue that with proper guidance students’ use of online searches and related (...) tools can empower students democratically as sources of ideas, conceptualizations, information, and insight while emphasizing participation in deliberation and judgment in the classroom. We begin with a look at the criticisms and then defenses of using online tools in the classroom. Finally, we examine Dewey’s distinction between the spectator versus the participant models of learning to apply his insights to the use of online tools in the classroom. (shrink)

Philosophical and sociological approaches in technology have increasingly shifted toward describing AI (artificial intelligence) systems as ‘(moral) agents,’ while also attributing ‘agency’ to them. It is only in this way – so their principal argument goes – that the effects of technological components in a complex human-computer interaction can be understood sufficiently in phenomenological-descriptive and ethical-normative respects. By contrast, this article aims to demonstrate that an explanatory model only achieves a descriptively and normatively satisfactory result if the concepts of ‘(moral) (...) agent’ and ‘(moral) agency’ are exclusively related to human agents. Initially, the division between symbolic and sub-symbolic AI, the black box character of (deep) machine learning, and the complex relationship network in the provision and application of machine learning are outlined. Next, the ontological and action-theoretical basic assumptions of an ‘agency’ attribution regarding both the current teleology-naturalism debate and the explanatory model of actor network theory are examined. On this basis, the technical-philosophical approaches of Luciano Floridi, Deborah G. Johnson, and Peter-Paul Verbeek will all be critically discussed. Despite their different approaches, they tend to fully integrate computational behavior into their concept of ‘(moral) agency.’ By contrast, this essay recommends distinguishing conceptually between the different entities, causalities, and relationships in a human-computer interaction, arguing that this is the only way to do justice to both human responsibility and the moral significance and causality of computational behavior. (shrink)

This chapter will deal with an issue that is as much a problem for moral philosophy as it is for the computer world. My basic theme is that high technology, and computer technology in particular, raises ethical problems of a new sort that require considerable restructuring of our traditional ethical categories. It follows that our job as philosophers is not, as it is often thought to be, simply to apply ready-made categories to new situations; rather, it is to find new (...) categories, or new ways of interpreting old categories, in order to accommodate the challenges presented by new technologies. (shrink)

The challenge of designing computer systems and robots with the ability to make moral judgments is stepping out of science fiction and moving into the laboratory. Engineers and scholars, anticipating practical necessities, are writing articles, participating in conference workshops, and initiating a few experiments directed at substantiating rudimentary moral reasoning in hardware and software. The subject has been designated by several names, including machine ethics, machine morality, artificial morality, or computational morality. Most references to the challenge (...) elucidate one facet or another of what is a very rich topic. This paper will offer a brief overview of the many dimensions of this new field of inquiry. (shrink)

Current empirical studies of moral behavior of healthcare professionals are almost entirely focused on self-reports, usually collected under the assumption that an ethical disposition characterizes individuals across various contexts. It is well known, however, that individuals adjust their behavior to what they see being done by those in their peer group. That presents a methodological challenge to traditional research within a community of peers because the behavior of each individual is both the result of norms and a contributor to the (...) norms of others. Computer simulations can be used to address this methodological challenge. A Markov replicator model that runs on an Excel spreadsheet was used to investigate a community with four agent types in the dental community: devious practitioners, ethical practitioners who avoid involvement in the poor ethics of others, ethical practitioners who accept it as part of their professional responsibility to challenge colleagues who act unprofessionally, and those who enforce ethical standards. A panel of leaders in the profession independently estimated parameters for the model and criteria for a possible distribution of agent types in the community. The simulation converged on distributions of the agent types that were very similar to the expectations of the panel. The simulation suggests the following characteristics of such moral communities: The structure of such communities is robust across a wide distribution. It appears that reduction in unethical behavior is more sensitive to the way ethical practitioners interact with each other than to sanctions the enforcement community imposes on unethical practitioners, and that large external interventions will be short lived. (shrink)

In computer ethics, as in other branches of applied ethics, the problem of the justification of moral judgment is still unresolved. I argue that the method which is referred to as “The Method of Wide Reflective Equilibrium” (WRE) offers the best solution to it. It does not fall victim to the false dilemma of having to choose either case‐based particularist or principle‐based universalist approaches to the problem of moral justification. I claim that WRE also provides the best model of practical (...) moral reasoning available for computer ethics. It does not pretend to provide quasi‐algorithmic procedures for moral decision‐making, but neither does it abandon the regulative ideal of communicative transparency in discursive public justification. (shrink)

This article shows how common morality can be helpful in clarifying the discussion of ethical issues that arise in computing. Since common morality does not always provide unique answers to moral questions, not all such issues can be resolved, however common morality does provide a clear answer to the question whether one can illegally copy software for a friend.

Artificial Intelligence (AI) is a technology widely used to support human decision-making. Current areas of application include financial services, engineering, and management. A number of attempts to introduce AI decision support systems into areas which more obviously include moral judgement have been made. These include systems that give advice on patient care, on social benefit entitlement, and even ethical advice for medical professionals. Responding to these developments raises a complex set of moral questions. This paper proposes a clearer replacement question (...) to them. The replacement question asks under what circumstances, if any, people would accept a moral judgement made by some sort of machine. Since, it is argued, the answer to this replacement question is positive, urgent practical moral problems are raised. (shrink)

When software is written and then utilized in complex computer systems, problems often occur. Sometimes these problems cause a system to malfunction, and in some instances such malfunctions cause harm. Should any of the persons involved in creating the software be blamed and punished when a computer system failure leads to persons being harmed? In order to decide whether such blame and punishment are appropriate, we need to first consider if the people are “morally responsible”. Should any of the people (...) involved in creating the software be held morally responsible, as individuals, for the harm caused by a computer system failure?This article provides one view of moral responsibility and then discusses some barriers to holding people morally responsible. Next, it provides information about the Therac-25, a computer-controlled medical linear accelerator, and its computer systems failures that led to deaths and injuries. Finally it investigates whether two key people involved in the Therac-25 case could reasonably be considered to have some degree of moral responsibility for the deaths and injuries. The conclusions about whether or not these people were morally responsible necessarily rest upon a certain amount of speculation about what they knew and what they did. These limitations, however, should not cause us to conclude that discussions of moral responsibility are fruitless. In some cases, determinations of moral responsibility may be made and in others the investigation is still worthwhile, as the article demonstrates. (shrink)

In this comment on Joshua Greene's essay, The Secret Joke of Kant's Soul, I argue that a notable weakness of Greene's approach to moral psychology is its neglect of computational theory. A central problem moral cognition must solve is to recognize (i.e., compute representations of) the deontic status of human acts and omissions. How do people actually do this? What is the theory which explains their practice?

Can computer systems ever be considered moral agents? This paper considers two factors that are explored in the recent philosophical literature. First, there are the important domains in which computers are allowed to act, made possible by their greater functional capacities. Second, there is the claim that these functional capacities appear to embody relevant human abilities, such as autonomy and responsibility. I argue that neither the first (Domain-Function) factor nor the second (Simulacrum) factor gets at the central issue in the (...) case for computer moral agency: whether they can have the kinds of intentional states that cause their decisions and actions. I give an account that builds on traditional action theory and allows us to conceive of computers as genuine moral agents in virtue of their own causally efficacious intentional states. These states can cause harm or benefit to moral patients, but do not depend on computer consciousness or intelligence. (shrink)

The ultimate goal of research into computational intelligence is the construction of a fully embodied and fully autonomous artificial agent. This ultimate artificial agent must not only be able to act, but it must be able to act morally. In order to realize this goal, a number of challenges must be met, and a number of questions must be answered, the upshot being that, in doing so, the form of agency to which we must aim in developing artificial agents (...) comes into focus. This chapter explores these issues, and from its results details a novel approach to meeting the given conditions in a simple architecture of information processing. (shrink)

In this article, a concise argument for computational rationality as a basis for artificial moral agency is advanced. Some ethicists have long argued that rational agents can become artificial moral agents. However, most of their views have come from purely philosophical perspectives, thus making it difficult to transfer their arguments to a scientific and analytical frame of reference. The result has been a disintegrated approach to the conceptualisation and design of artificial moral agents. In this article, I make the (...) argument for computational rationality as an integrative element that effectively combines the philosophical and computational aspects of artificial moral agency. This logically leads to a philosophically coherent and scientifically consistent model for building artificial moral agents. Besides providing a possible answer to the question of how to build artificial moral agents, this model also invites sound debate from multiple disciplines, which should help to advance the field of machine ethics forward. (shrink)

As AI Systems become increasingly autonomous, they are expected to engage in decision-making processes that have moral implications. In this research we integrate theoretical and empirical lines of thought to address the matters of moral reasoning and moral uncertainty in AI Systems. We reconceptualize the metanormative framework for decision-making under moral uncertainty and we operationalize it through a latent class choice model. The core idea being that moral heterogeneity in society can be codified in terms of a small number of (...) classes with distinct moral preferences and that this codification can be used to express moral uncertainty of an AI. Choice analysis allows for the identification of classes and their moral preferences based on observed choice data. Our reformulation of the metanormative framework is theory-rooted and practical in the sense that it avoids runtime issues in real time applications. To illustrate our approach we conceptualize a society in which AI Systems are in charge of making policy choices. While one of the systems uses a baseline morally certain model, the other uses a morally uncertain model. We highlight cases in which the AI Systems disagree about the policy to be chosen, thus illustrating the need to capture moral uncertainty in AI systems. (shrink)

After discussing the distinction between artifacts and natural entities, and the distinction between artifacts and technology, the conditions of the traditional account of moral agency are identified. While computer system behavior meets four of the five conditions, it does not and cannot meet a key condition. Computer systems do not have mental states, and even if they could be construed as having mental states, they do not have intendings to act, which arise from an agent’s freedom. On the other hand, (...) computer systems have intentionality, and because of this, they should not be dismissed from the realm of morality in the same way that natural objects are dismissed. Natural objects behave from necessity; computer systems and other artifacts behave from necessity after they are created and deployed, but, unlike natural objects, they are intentionally created and deployed. Failure to recognize the intentionality of computer systems and their connection to human intentionality and action hides the moral character of computer systems. Computer systems are components in human moral action. When humans act with artifacts, their actions are constituted by the intentionality and efficacy of the artifact which, in turn, has been constituted by the intentionality and efficacy of the artifact designer. All three components – artifact designer, artifact, and artifact user – are at work when there is an action and all three should be the focus of moral evaluation. (shrink)

PurposeThe purpose of this paper is to examine whether, when teaching professional ethics, the educational interventions have any effect on improving students' moral decisions. One method often used to measure change is the well‐established defining issues test – an American test based on Kohlberg's stage theory.Design/methodology/approachUsing this test, two before‐and‐after studies were carried out on cross‐cultural cohorts of first year computing undergraduates which both received the same lectures, debates and moral‐decision‐making exercises.FindingsOne study showed a significant increase in moral judgment whilst (...) the other showed a decrease. Both studies indicated mean scores far below the American averages.Research limitations/implicationsAs both studies involved relatively small sample sizes, the results are indicative rather than conclusive. However, they bring to light issues associated with the test, in both American and non‐American research, indicating that lower than average mean scores could be due to cross‐cultural and situational variations.Practical implicationsThe paper questions the premise of stage theory as a method for measurement within a cross‐cultural context; and the usefulness of measuring one component of moral development in isolation.Originality/valueThe paper proposes that tests based on more discipline‐specific skills, rather than stage theory, would be of greater use in evaluating student levels of moral development. (shrink)

Recently, there has been a resurgence of interest in general, comprehensive models of human cognition. Such models aim to explain higher-order cognitive faculties, such as deliberation and planning. Given a computational representation, the validity of these models can be tested in computer simulations such as software agents or embodied robots. The push to implement computational models of this kind has created the field of artificial general intelligence (AGI). Moral decision making is arguably one of the most challenging tasks (...) for computational approaches to higher-order cognition. The need for increasingly autonomous artificial agents to factor moral considerations into their choices and actions has given rise to another new field of inquiry variously known as Machine Morality, Machine Ethics, Roboethics, or Friendly AI. In this study, we discuss how LIDA, an AGI model of human cognition, can be adapted to model both affective and rational features of moral decision making. Using the LIDA model, we will demonstrate how moral decisions can be made in many domains using the same mechanisms that enable general decision making. Comprehensive models of human cognition typically aim for compatibility with recent research in the cognitive and neural sciences. Global workspace theory, proposed by the neuropsychologist Bernard Baars (1988), is a highly regarded model of human cognition that is currently being computationally instantiated in several software implementations. LIDA (Franklin, Baars, Ramamurthy, & Ventura, 2005) is one such computational implementation. LIDA is both a set of computational tools and an underlying model of human cognition, which provides mechanisms that are capable of explaining how an agent’s selection of its next action arises from bottom-up collection of sensory data and top-down processes for making sense of its current situation. We will describe how the LIDA model helps integrate emotions into the human decision-making process, and we will elucidate a process whereby an agent can work through an ethical problem to reach a solution that takes account of ethically relevant factors. (shrink)

Brain-computer interfaces (BCIs) are devices primarily intended to allow agents to use prosthetic body parts, wheelchairs, and other mechanisms by forming intentions or performing certain mental actions. In this paper I illustrate how the use of BCIs leads to two unique and unrecognized problems of moral luck. In short, it seems that agents who depend upon BCIs for bodily movement or the use of other mechanisms (henceforth “BCI-agents”) may end up deserving of blame and legal punishment more so than standard (...) counterparts simply due to factors beyond their control. My aim is to explore whether we can avoid the implication that BCI-agents are subject to these unique sources of moral luck. In doing so I offer a number of possible solutions and then defend one of these solutions as the best. As it turns out, the solution I defend addresses both problems of moral luck at once and has broader implications for theorizing about moral luck as well as the epistemic condition on moral responsibility. (shrink)

In the past decades, computers have become more and more involved in society by the rise of ubiquitous systems, increasing the number of interactions between humans and IT systems. At the same time, the technology itself is getting more complex, enabling devices to act in a way that previously only humans could, based on developments in the fields of both robotics and artificial intelligence. This results in a situation in which many autonomous, intelligent and context-aware systems are involved in decisions (...) that affect their environment. These relations between people, machines, and decisions can take many different forms, but thus far, a systematic account of machine-assisted moral decisions is lacking. This paper investigates the concept of machine-assisted moral decisions from the perspective of technological mediation. It is argued that modern machines do not only have morality in the sense of mediating the actions of humans, but that, by making their own decisions within their relations with humans, mediate morality itself. A classification is proposed to differentiate between four different types of moral relations. The moral aspects within the decisions these systems make are combined into three dimensions that describe the distinct characteristics of different types of moral mediation by machines. Based on this classification, specific guidelines for moral behavior can be provided for these systems. (shrink)

"The Rules" are found in a collaborative document that states principles for responsibility when a computer artifact is designed, developed and deployed into a sociotechnical system. At this writing, over 50 people from nine countries have signed onto The Rules. Unlike codes of ethics, The Rules are not tied to any organization, and computer users as well as computing professionals are invited to sign onto The Rules. The emphasis in The Rules is that both users and professionals have responsibilities in (...) the production and use of computing artifacts. In this paper, we use The Rules to examine issues of trust. (shrink)

This study examines the relationship between cognitive moral development (CMD), productivity features of information technology (IT) and unethical behavior or misconduct. Using an experimental design that randomly assigns subjects to one of four unique technology conditions, we assess the relationship between a subjects' predominant level of CMD and ethical misconduct on IT-oriented work tasks. Our results show that both higher levels of CMD and increased levels of IT productivity features at one's disposal have a significant role to play in explaining (...) observed behavior in our sample. We find that CMD as measured by the Defining Issues Test's P-score is negatively related to task misconduct. Conversely, IT productivity features such as copy-and-paste are positively related to task misconduct. In addition, the CMD—misconduct relationship is significantly diminished by the introduction of IT productivity features. Lastly, a series of hazard analyses are conducted to explore the boundaries of our principal findings. These results demonstrate the significant role of technology in enabling negative behavior and the relative inability of subjects' use of principled moral reasoning to overcome it. Implications of these findings for academics and business managers are offered, as well as recommendations for mitigating misconduct in both academic and workplace environments. (shrink)

As computating technologies become ubiquitous and at least partly autonomous, they will have increasing impact on societies, both in the developed and developing worlds. This article outlines a framework for guiding emerging technologies in directions that promise social as well as technical progress. Multiple stakeholders will have to be engaged in dialogues over new technological directions, forming trading zones in which knowledge and resources are exchanged. Such discussions will have to incorporate cultural and individual values.

Issue Title: Moral Luck, Social Networking Sites, and Trust on the Web I argue that the problem of 'moral luck' is an unjustly neglected topic within Computer Ethics. This is unfortunate given that the very nature of computer technology, its 'logical malleability', leads to ever greater levels of complexity, unreliability and uncertainty. The ever widening contexts of application in turn lead to greater scope for the operation of chance and the phenomenon of moral luck. Moral luck bears down most heavily (...) on notions of professional responsibility, the identification and attribution of responsibility. It is immunity from luck that conventionally marks out moral value from other kinds of values such as instrumental, technical, and use value. The paper describes the nature of moral luck and its erosion of the scope of responsibility and agency. Moral luck poses a challenge to the kinds of theoretical approaches often deployed in Computer Ethics when analyzing moral questions arising from the design and implementation of information and communication technologies. The paper considers the impact on consequentialism; virtue ethics; and duty ethics. In addressing cases of moral luck within Computer Ethics, I argue that it is important to recognise the ways in which different types of moral systems are vulnerable, or resistant, to moral luck. Different resolutions are possible depending on the moral framework adopted. Equally, resolution of cases will depend on fundamental moral assumptions. The problem of moral luck in Computer Ethics should prompt us to new ways of looking at risk, accountability and responsibility.[PUBLICATION ABSTRACT]. (shrink)

Reason has very often been seen as the highest faculty of man and, therefore, a strong tendency to attempt to analyze man mainly in terms of the rational dimension exists. This tendency was strong in antiquity and was given renewed attention in the seventeenth century.

Background: Moral sensitivity is the first step towards ethical decision-making. This sensitivity should form a basic attitude in healthcare team members, particularly nurses, toward providing effective and ethical care. This is highlighted in intensive care units (ICUs) where close attention should be paid to patient rights and moral or ethical decision-making. Objective: The present study aimed at determining and comparing the effect of written simulation and computer simulation of a virtual patient on the development of moral sensitivity of ICU nurses. (...) Research design: Randomized controlled trial with one control arm and two experimental arms. Participants and content: This study involved 204 ICU nurses working in hospitals affiliated to Tehran University of Medical Sciences, Tehran, Iran, from 2019 to 2021 using a random allocation method. The participants were allocated to three groups comprising virtual patient computer simulation, written simulation, and the no simulation control group. After training based on a Patient Rights Charter, five scenarios, with themes reflecting the clauses of the Patient’s Rights Charter, were written as a computer program and text for the computer simulation and written simulation groups, respectively. Finally, nurses' moral sensitivity was assessed using the Lützén moral sensitivity questionnaire as pre- and post-tests (immediately and 2 months after the intervention). Ethical considerations: Ethical permission was obtained for the study. All the participants signed the informed consent before the study onset. Results: The study results showed a significant difference in moral sensitivity among the three groups before the intervention ( p = 0.003). Immediately after the intervention compared to pre-intervention, the three groups showed no significant differences in this regard ( p = 0.056), however a significant difference among the three groups was found 2 months post-intervention ( p < 0.001). (shrink)

In modern technical societies computers interact with human beings in ways that can affect moral rights and obligations. This has given rise to the question whether computers can act as autonomous moral agents. The answer to this question depends on many explicit and implicit definitions that touch on different philosophical areas such as anthropology and metaphysics. The approach chosen in this paper centres on the concept of information. Information is a multi-facetted notion which is hard to define comprehensively. However, the (...) frequently used definition of information as data endowed with meaning can promote our understanding. It is argued that information in this sense is a necessary condition of cognitivist ethics. This is the basis for analysing computers and information processors regarding their status as possible moral agents. Computers have several characteristics that are desirable for moral agents. However, computers in their current form are unable to capture the meaning of information and therefore fail to reflect morality in anything but a most basic sense of the term. This shortcoming is discussed using the example of the Moral Turing Test. The paper ends with a consideration of which conditions computers would have to fulfil in order to be able to use information in such a way as to render them capable of acting morally and reflecting ethically. (shrink)

Traditionally, philosophers have ascribed moral agency almost exclusively to humans. Early writing about moral agency can be traced to Aristotle and Aquinas. In addition to human moral agents, Aristotle discussed the possibility of moral agency of the Greek gods and Aquinas discussed the possibility of moral agency of angels. In the case of angels, a difficulty in ascribing moral agency was that it was suspected that angels did not have enough independence from God to ascribe to the angels genuine moral (...) choices. Recently, new candidates have been suggested for non‐human moral agency. Floridi and Sanders suggest that artificially intelligence programs that meet certain criteria may attain the status of moral agents; they suggest a redefinition of moral agency to clarify the relationship between artificial and human agents. Other philosophers, as well as scholars in Science and Technology Studies, are studying the possibility that artifacts that are not designed to mimic human intelligence still embody a kind of moral agency. For example, there has been a lively discussion about the moral intent and the consequential effects of speed bumps. The connections and distributed intelligence of a network is another candidate being considered for moral agency. These philosophical arguments may have practical consequences for software developers, and for the people affected by computing. In this paper, we will examine ideas about artificial moral agency from the perspective of a software developer. (shrink)

This essay is an attempt to understand how technological metaphors, particularly computer metaphors, are relevant to moral education. After discussing various types of technological metaphors, it is argued that technological metaphors enter moral thought through their functional descriptions. The computer metaphor is then explored by turning to the hacker ethic. Analysis of this ethic reveals parallels between the experience of computer programming and the moral standards of those who are enmeshed in computer technology. This parallel suggests that the hacker ethic (...) is being pushed by a computer metaphor and its functional descriptions in a direction of individualism and systems thinking. After examining some possible implications of the computer metaphor, this essay offers suggestions concerning how technological metaphors may be critiqued. (shrink)