The purpose of this study is to examine whether corporate social responsibility activities perceived by consumers affect brand trust and corporate sustainability management. In other words, this study tried to examine whether the compatibility and authenticity of CSR influences brand trust, thereby affecting CSM including economic viability, environmental soundness, and social responsibility. To measure this, an empirical analysis was conducted on 479 consumers who had experience purchasing products from cosmetic companies that are carrying out CSR. As a result (...) of the analysis, it was found that the compatibility and authenticity of CSR have a positive effect on brand trust. Also, it was found that brand trust had a positive effect on social responsibility among the sub-concepts of CSM, but did not affect economic viability and environmental soundness. The results of this study are expected to provide strategic implications for social responsibility performance and brand trust building necessary for cosmetics companies to grow continuously. (shrink)

As sophisticated artificial intelligence software becomes more ubiquitously and more intimately integrated within domains of traditionally human endeavor, many are raising questions over how responsibility (be it moral, legal, or causal) can be understood for an AI’s actions or influence on an outcome. So called “responsibility gaps” occur whenever there exists an apparent chasm in the ordinary attribution of moral blame or responsibility when an AI automates physical or cognitive labor otherwise performed by human beings and (...) commits an error. Healthcare administration is an industry ripe for responsibility gaps produced by these kinds of AI. The moral stakes of healthcare are often life and death, and the demand for reducing clinical uncertainty while standardizing care incentivizes the development and integration of AI diagnosticians and prognosticators. In this paper, we argue that (1) responsibility gaps are generated by “black box” healthcare AI, (2) the presence of responsibility gaps (if unaddressed) creates serious moral problems, (3) a suitable solution is for relevant stakeholders to voluntarily responsibilize the gaps, taking on some moral responsibility for things they are not, strictly speaking, blameworthy for, and (4) should this solution be taken, black box healthcare AI will be permissible in the provision of healthcare. (shrink)

The notion of “responsibility gap” with artificial intelligence (AI) was originally introduced in the philosophical debate to indicate the concern that “learning automata” may make more difficult or impossible to attribute moral culpability to persons for untoward events. Building on literature in moral and legal philosophy, and ethics of technology, the paper proposes a broader and more comprehensive analysis of the responsibility gap. The responsibility gap, it is argued, is not one problem but a set of at (...) least four interconnected problems – gaps in culpability, moral and public accountability, active responsibility—caused by different sources, some technical, other organisational, legal, ethical, and societal. Responsibility gaps may also happen with non-learning systems. The paper clarifies which aspect of AI may cause which gap in which form of responsibility, and why each of these gaps matter. It proposes a critical review of partial and non-satisfactory attempts to address the responsibility gap: those which present it as a new and intractable problem (“fatalism”), those which dismiss it as a false problem (“deflationism”), and those which reduce it to only one of its dimensions or sources and/or present it as a problem that can be solved by simply introducing new technical and/or legal tools (“solutionism”). The paper also outlines a more comprehensive approach to address the responsibility gaps with AI in their entirety, based on the idea of designing socio-technical systems for “meaningful human control", that is systems aligned with the relevant human reasons and capacities. (shrink)

Traditionally, the manufacturer/operator of a machine is held (morally and legally) responsible for the consequences of its operation. Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour any more, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine any more (which is not a (...) realistic option), or facing a responsibility gap, which cannot be bridged by traditional concepts of responsibility ascription. (shrink)

AI has numerous applications and in various fields, including the military domain. The increase in the degree of autonomy in some decision-making systems leads to discussions on the possible future use of lethal autonomous weapons systems (LAWS). A central issue in these discussions is the assignment of moral responsibility for some AI-based outcomes. Several authors claim that the high autonomous capability of such systems leads to a so-called “responsibility gap.” In recent years, there has been a surge in (...) philosophical literature around the concept of responsibility gaps and different solutions have been devised to close or bridge these gaps. In order to move forward in the research around LAWS and the problem of responsibility, it is important to increase our understanding of the different perspectives and discussions in this debate. This paper attempts to do so by disentangling the various arguments and providing a critical overview. After giving a brief outline of the state of the technology of LAWS, I will review the debates over responsibility gaps using three differentiators: those who believe in the existence of responsibility gaps versus those who do not, those who hold that responsibility gaps constitute a new moral problem versus those who argue they do not, and those who claim that solutions can be successful as opposed to those who believe that it is an unsolvable problem. (shrink)

Danaher (2016) has argued that increasing robotization can lead to retribution gaps: Situation in which the normative fact that nobody can be justly held responsible for a harmful outcome stands in conflict with our retributivist moral dispositions. In this paper, we report a cross-cultural empirical study based on Sparrow’s (2007) famous example of an autonomous weapon system committing a war crime, which was conducted with participants from the US, Japan and Germany. We find that (i) people manifest a considerable (...) willingness to hold autonomous systems morally responsible, (ii) partially exculpate human agents when interacting with such systems, and that more generally (iii) the possibility of normative responsibility gaps is indeed at odds with people’s pronounced retributivist inclinations. We discuss what these results mean for potential implications of the retribution gap and other positions in the responsibility gap literature. (shrink)

Which kinds of responsibility can we attribute to which kinds of collective, and why? In contrast, which kinds of collective responsibility can we not attribute—which kinds are ‘gappy’? This study provides a framework for answering these questions. It begins by distinguishing between three kinds of collective and three kinds of responsibility. It then explains how gaps—i.e. cases where we cannot attribute the responsibility we might want to—appear to arise within each type of collective responsibility. (...) It argues some of these gaps do not exist on closer inspection, at least for some collectives and some of the time. (shrink)

Traditionally, the manufacturer/operator of a machine is held (morally and legally) responsible for the consequences of its operation. Autonomous, learning machines, based on neural networks, genetic algorithms and agent architectures, create a new situation, where the manufacturer/operator of the machine is in principle not capable of predicting the future machine behaviour any more, and thus cannot be held morally responsible or liable for it. The society must decide between not using this kind of machine any more (which is not a (...) realistic option), or facing a responsibility gap, which cannot be bridged by traditional concepts of responsibility ascription. (shrink)

Artificial Intelligence (AI) systems are ubiquitous. From social media timelines, video recommendations on YouTube, and the kinds of adverts we see online, AI, in a very real sense, filters the world we see. More than that, AI is being embedded in agent-like systems, which might prompt certain reactions from users. Specifically, we might find ourselves feeling frustrated if these systems do not meet our expectations. In normal situations, this might be fine, but with the ever increasing sophistication of AI-systems, this (...) might become a problem. While it seems unproblematic to realize that being angry at your car for breaking down is unfitting, can the same be said for AI-systems? In this paper, therefore, I will investigate the so-called “reactive attitudes”, and their important link to our responsibility practices. I then show how within this framework there exist exemption and excuse conditions, and test whether our adopting the “objective attitude” toward agential AI is justified. I argue that such an attitude is appropriate in the context of three distinct senses of responsibility (answerability, attributability, and accountability), and that, therefore, AI-systems do not undermine our responsibility ascriptions. (shrink)

In many cases of criminality within large corporations, senior management does not commit the operative offense—or conspire or assist in it—but nonetheless bears serious responsibility for the crime. That responsibility can derive from, among other things, management’s role in cultivating corporate culture, in failing to police effectively within the firm, and in accepting lavish compensation for taking the firm’s reins. Criminal law does not include any doctrinal means for transposing that form of responsibility into punishment. Arguments for (...) expanding doctrine—including broadening of the presently narrow “responsible corporate officer” doctrine—so as to authorize such punishment do not fare well under the justificatory demands of criminal law theory. The principal obstacle to such arguments is the large industrial corporation itself, which necessarily entails kinds and degrees of delegation and risk-taking that do not fit well with settled concepts about mens rea and omission liability. Even the most egregious and harmful management failures must be addressed through design and regulation of the corporation rather than imposition of individual criminal liability. (shrink)

Recent decades have witnessed tremendous progress in artificial intelligence and in the development of autonomous systems that rely on artificial intelligence. Critics, however, have pointed to the difficulty of allocating responsibility for the actions of an autonomous system, especially when the autonomous system causes harm or damage. The highly autonomous behavior of such systems, for which neither the programmer, the manufacturer, nor the operator seems to be responsible, has been suspected to generate responsibility gaps. This has been (...) the cause of much concern. In this article, I propose a more optimistic view on artificial intelligence, raising two challenges for responsibility gap pessimists. First, proponents of responsibility gaps must say more about when responsibility gaps occur. Once we accept a difficult-to-reject plausibility constraint on the emergence of such gaps, it becomes apparent that the situations in which responsibility gaps occur are unclear. Second, assuming that responsibility gaps occur, more must be said about why we should be concerned about such gaps in the first place. I proceed by defusing what I take to be the two most important concerns about responsibility gaps, one relating to the consequences of responsibility gaps and the other relating to violations of jus in bello. (shrink)

Sparrow argues that military robots capable of making their own decisions would be independent enough to allow us denial for their actions, yet too unlike us to be the targets of meaningful blame or praise—thereby fostering what Matthias has dubbed “the responsibility gap.” We agree with Sparrow that someone must be held responsible for all actions taken in a military conflict. That said, we think Sparrow overlooks the possibility of what we term “blank check” responsibility: A person of (...) sufficiently high standing could accept responsibility for the actions of autonomous robotic devices—even if that person could not be causally linked to those actions besides this prior agreement. The basic intuition behind our proposal is that humans can impute relations even when no other form of contact can be established. The missed alternative we want to highlight, then, would consist in an exchange: Social prestige in the occupation of a given office would come at the price of signing away part of one's freedoms to a contingent and unpredictable future guided by another agency. (shrink)

In a landmark essay, Andreas Matthias claimed that current developments in autonomous, artificially intelligent systems are creating a so-called responsibility gap, which is allegedly ever-widening and stands to undermine both the moral and legal frameworks of our society. But how severe is the threat posed by emerging technologies? In fact, a great number of authors have indicated that the fear is thoroughly instilled. The most pessimistic are calling for a drastic scaling-back or complete moratorium on AI systems, while the (...) optimists aim to show that the gap can be bridged nonetheless. Contrary to both camps, I argue against the prevailing assumption that there is a technology-based responsibility gap. I show how moral responsibility is a dynamic and flexible process, one that can effectively encompass emerging technological entities. (shrink)

The article shows where the argument of responsibility-gap regarding brain-computer interfaces acquires its plausibility from, and suggests why the argument is not plausible. As a way of an explanation, a distinction between the descriptive third-person perspective and the interpretative first-person perspective is introduced. Several examples and metaphors are used to show that ascription of agency and responsibility does not, even in simple cases, require that people be in causal control of every individual detail involved in an event. Taking (...) up the current debate on liability in BCI use, the article provides and discusses some rules that should be followed when potentially harmful BCI-based devices are brought from the laboratory into everyday life. (shrink)

Many seem to think that AI-induced responsibility gaps are morally bad and therefore ought to be avoided. We argue, by contrast, that there is at least a pro tanto reason to welcome responsibility gaps. The central reason is that it can be bad for people to be responsible for wrongdoing. This, we argue, gives us one reason to prefer automated decision-making over human decision-making, especially in contexts where the risks of wrongdoing are high. While we are (...) not the first to suggest that responsibility gaps should sometimes be welcomed, our argument is novel. Others have argued that responsibility gaps should sometimes be welcomed because they can reduce or eliminate the psychological burdens caused by tragic moral choice-situations. By contrast, our argument explains why responsibility gaps should sometimes be welcomed even in the absence of tragic moral choice-situations, and even in the absence of psychological burdens. (shrink)

A classic objection to autonomous weapon systems (AWS) is that these could create so-called responsibility gaps, where it is unclear who should be held responsible in the event that an AWS were to violate some portion of the law of armed conflict (LOAC). However, those who raise this objection generally do so presenting it as a problem for AWS as a whole class of weapons. Yet there exists a rather wide range of systems that can be counted as (...) “autonomous weapon systems”, and so the objection is too broad. In this article I present a taxonomic approach to the objection, examining a number of systems that would count as AWS under the prevalent definitions provided by the United States Department of Defense and the International Committee of the Red Cross, and I show that for virtually all such systems there is a clear locus of responsibility which presents itself as soon as one focuses on specific systems, rather than general notions of AWS. In developing these points, I also suggest a method for dealing with near-future types of AWS which may be thought to create situations where responsibility gaps can still arise. The main purpose of the arguments is, however, not to show that responsibility gaps do not exist or can be closed where they do exist. Rather, it is to highlight that any arguments surrounding AWS must be made with reference to specific weapon platforms imbued with specific abilities, subject to specific limitations, and deployed to specific times and places for specific purposes. More succinctly, the arguments show that we cannot and should not aim to treat AWS as if all of these shared all morally relevant features, but instead on a case-by-case basis. Thus, we must contend with the realities of weapons development and deployment, and tailor our arguments and conclusions to those realities, and with an eye to what facts obtain for particular systems fulfilling particular combat roles. (shrink)

AI has numerous applications and in various fields, including the military domain. The increase in the degree of autonomy in some decision-making systems leads to discussions on the possible future use of lethal autonomous weapons systems (LAWS). A central issue in these discussions is the assignment of moral responsibility for some AI-based outcomes. Several authors claim that the high autonomous capability of such systems leads to a so-called “responsibility gap.” In recent years, there has been a surge in (...) philosophical literature around the concept of responsibility gaps and different solutions have been devised to close or bridge these gaps. In order to move forward in the research around LAWS and the problem of responsibility, it is important to increase our understanding of the different perspectives and discussions in this debate. This paper attempts to do so by disentangling the various arguments and providing a critical overview. After giving a brief outline of the state of the technology of LAWS, I will review the debates over responsibility gaps using three differentiators: those who believe in the existence of responsibility gaps versus those who do not, those who hold that responsibility gaps constitute a new moral problem versus those who argue they do not, and those who claim that solutions can be successful as opposed to those who believe that it is an unsolvable problem. (shrink)

When a computer system causes harm, who is responsible? This question has renewed significance given the proliferation of autonomous systems enabled by modern artificial intelligence techniques. At the root of this problem is a philosophical difficulty known in the literature as the responsibility gap. That is to say, because of the causal distance between the designers of autonomous systems and the eventual outcomes of those systems, the dilution of agency within the large and complex teams that design autonomous systems, (...) and the impossibility of fully predicting how autonomous systems will behave once deployed, determining who is morally responsible for harms caused by autonomous systems is unclear at a conceptual level. I review past work on this topic, criticizing prior works for suggesting workarounds rather than philosophical answers to the conceptual problem presented by the responsibility gap. The view I develop, drawing on my earlier work on vicarious moral responsibility, explains why computing professionals are ethically required to take responsibility for the systems they design, despite not being blameworthy for the harms these systems may cause. (shrink)

There is a concern that the widespread deployment of autonomous machines will open up a number of ‘responsibility gaps’ throughout society. Various articulations of such techno-responsibility gaps have been proposed over the years, along with several potential solutions. Most of these solutions focus on ‘plugging’ or ‘dissolving’ the gaps. This paper offers an alternative perspective. It argues that techno-responsibility gaps are, sometimes, to be welcomed and that one of the advantages of autonomous machines (...) is that they enable us to embrace certain kinds of responsibility gap. The argument is based on the idea that human morality is often tragic. We frequently confront situations in which competing moral considerations pull in different directions and it is impossible to perfectly balance these considerations. This heightens the burden of responsibility associated with our choices. We cope with the tragedy of moral choice in different ways. Sometimes we delude ourselves into thinking the choices we make were not tragic ; sometimes we delegate the tragic choice to others ; sometimes we make the choice ourselves and bear the psychological consequences. Each of these strategies has its benefits and costs. One potential advantage of autonomous machines is that they enable a reduced cost form of delegation. However, we only gain the advantage of this reduced cost if we accept that some techno-responsibility gaps are virtuous. (shrink)

Responsibility gaps concern the attribution of blame for harms caused by autonomous machines. The worry has been that, because they are artificial agents, it is impossible to attribute blame, even though doing so would be appropriate given the harms they cause. We argue that there are no responsibility gaps. The harms can be blameless. And if they are not, the blame that is appropriate is indirect and can be attributed to designers, engineers, software developers, manufacturers or (...) regulators. The real problem lies elsewhere: autonomous machines should be built so as to exhibit a level of risk that is morally acceptable. If they fall short of this standard, they exhibit what we call ‘a control gap.’ The causal control that autonomous machines have will then fall short of the guidance control they should emulate. (shrink)

Artificial intelligence increasingly executes tasks that previously only humans could do, such as drive a car, fight in war, or perform a medical operation. However, as the very best AI systems tend to be the least controllable and the least transparent, some scholars argued that humans can no longer be morally responsible for some of the AI-caused outcomes, which would then result in a responsibility gap. In this paper, I assume, for the sake of argument, that at least some (...) of the most sophisticated AI systems do indeed create responsibility gaps, and I ask whether we can bridge these gaps at will, viz. whether certain people could take responsibility for AI-caused harm simply by performing a certain speech act, just as people can give permission for something simply by performing the act of consent. So understood, taking responsibility would be a genuine normative power. I first discuss and reject the view of Champagne and Tonkens, who advocate a view of taking liability. According to this view, a military commander can and must, ahead of time, accept liability to blame and punishment for any harm caused by autonomous weapon systems under her command. I then defend my own proposal of taking answerability, viz. the view that people can makes themselves morally answerable for the harm caused by AI systems, not only ahead of time but also when harm has already been caused. (shrink)

The possible future use of lethal autonomous weapons systems (LAWS) and the challenges associated with assigning moral responsibility leads to several debates. Some authors argue that the highly autonomous capability of such systems may lead to a so-called responsibility gap in situations where LAWS cause serious violations of international humanitarian law. One proposed solution is the doctrine of command responsibility. Despite the doctrine’s original development to govern human interactions on the battlefield, it is worth considering whether the (...) doctrine of command responsibility could provide a solution by applying the notion analogously to LAWS. A fundamental condition underpinning the doctrine’s application is the control requirement, stipulating that a superior must exert some degree of control over subordinates. The aim of this article is to provide an in-depth analysis of this control condition and assess whether it leads to the impossibility of applying the doctrine of command responsibility to LAWS. To this end, the first section briefly introduces the topic of LAWS and responsibility gaps. The subsequent section provides a concise overview of the doctrine itself and the conditions typically necessitated for its application. In the third section, a comprehensive scrutiny of the control requirement is undertaken through examination of key case law, examining how the concept has been interpreted. Finally, the fourth section delves into the evaluation of commanders’ potential to exert effective control over their (non-human) subordinates. Based on this, the feasibility of considering command responsibility as a viable solution is assessed, aiming to determine whether its application should be prima facie excluded or warrants further exploration. (shrink)

Ethics settings allow for morally significant decisions made by humans to be programmed into autonomous machines, such as autonomous vehicles or autonomous weapons. Customizable ethics settings are a type of ethics setting in which the users of autonomous machines make such decisions. Here two arguments are provided in defence of customizable ethics settings. Firstly, by approaching ethics settings in the context of failure management, it is argued that customizable ethics settings are instrumentally and inherently valuable for building resilience into the (...) larger socio-technical systems in which autonomous machines operate. Secondly, after defining the preliminary condition of responsibility attribution and demonstrating how ethics settings enable humans to exert control over the outcomes of morally significant incidents, it is shown that ethics settings narrow the responsibility gap. (shrink)

According to David Miller, duties of domestic national and global justice are of equal importance, given that nationhood is both intrinsically valuable and not inherently an unjust way of excluding outsiders. The consequence of this?split?level? view is that it may be reasonable to prioritize domestic justice in some cases, while letting demands of global justice take precedence in others, depending on a weighting model which seeks to account for the relative urgency of domestic and global claims and the extent to (...) which agents are more closely attached to compatriots than to outsiders. In this chapter, I argue against this weighting model on grounds of internal coherence with the theory set out in National responsibility and global justice. I first inquire into the conditions under which justice at home conflicts with justice in the world at large, according to Miller?s main principle of global justice? respect for basic human rights. I then show that on Miller?s own understanding of the various duties of global and domestic justice, cases of conflict rarely arise, and that when they do, there is a powerful argument for prioritizing global duties on grounds of urgency, which contradicts the reasoning of the weighting model. Finally, I address a problem arising from Miller?s basic assumption that under?fulfillment of basic human rights in poor countries only generates claims of global justice to which rich nations are under a duty to respond, following the acceptance of a scheme of remedial responsibilities to provide aid by each of these nations. The normative structure of the split?level view set out in NRGJ needs to be clarified with respect to the key question of whether nations can be held to be under a duty of justice to bring such a scheme into existence in the first place. (shrink)

This study interrogates the Gap campaign from a political economic perspective to determine whether it goes beyond merely touting the virtuous line of social responsibility. Critics cite the irony of capitalist-based solutions that perpetuate the inequities they are trying to address. Others suggest the aid generated is problematic in and of itself because it keeps Africa from becoming self-sufficient. This research contends the purpose of the Gap’s participation is genuine, going beyond window dressing and the surface level benefit of (...) capitalistic enterprise, and is in fact linked to a higher motive of propagating ethical trade which ultimately offers African beneficiaries a path to financial independence. However, because the message of the current Gap advertising campaign does convey a false sense of doing good, another advertising approach is warranted. (shrink)

Automated technologies and robots make decisions that cannot always be fully controlled or predicted. In addition to that, they cannot respond to punishment and blame in the ways humans do. Therefore, when automated cars harm or kill people, for example, this gives rise to concerns about responsibility-gaps and retribution-gaps. According to Sven Nyholm, however, automated cars do not pose a challenge on human responsibility, as long as humans can control them and update them. He argues that (...) the agency exercised in automated cars should be understood in terms of human–robot collaborations. This brief note focuses on the problem that arises when there are multiple people involved, but there is no obvious shared collaboration among them. Building on John Danaher’s discussion of command responsibility, it is argued that, although Nyholm might be right that autonomous cars cannot be regarded as acting on their own, independently of any human beings, worries about responsibility-gaps and retribution-gaps are still justified, because it often remains unclear how to allocate or distribute responsibility satisfactorily among the key humans involved after they have been successfully identified. (shrink)

The task of this essay is to respond to the question concerning robots and responsibility—to answer for the way that we understand, debate, and decide who or what is able to answer for decisions and actions undertaken by increasingly interactive, autonomous, and sociable mechanisms. The analysis proceeds through three steps or movements. It begins by critically examining the instrumental theory of technology, which determines the way one typically deals with and responds to the question of responsibility when it (...) involves technology. It then considers three instances where recent innovations in robotics challenge this standard operating procedure by opening gaps in the usual way of assigning responsibility. The innovations considered in this section include: autonomous technology, machine learning, and social robots. The essay concludes by evaluating the three different responses—instrumentalism 2.0, machine ethics, and hybrid responsibility—that have been made in face of these difficulties in an effort to map out the opportunities and challenges of and for responsible robotics. (shrink)

This study interrogates the Gap (RED) campaign from a political economic perspective to determine whether it goes beyond merely touting the virtuous line of social responsibility. Critics cite the irony of capitalist-based solutions that perpetuate the inequities they are trying to address. Others suggest the aid generated is problematic in and of itself because it keeps Africa from becoming self-sufficient. This research contends the purpose of the Gap's participation is genuine, going beyond window dressing and the surface level benefit (...) of capitalistic enterprise, and is in fact linked to a higher motive of propagating ethical trade which ultimately offers African beneficiaries a path to financial independence. However, because the message of the current Gap (RED) advertising campaign does convey a false sense of doing good, another advertising approach is warranted. (shrink)

If climate change represents a severe threat to humankind, why then is response to it characterized by inaction at all levels? The authors argue there are two complementary explanations for the lack of motivation. First, our moral judgment system appears to be unable to identify climate change as an important moral problem and there are pervasive doubts about the agency of individuals. This explanation, however, is incomplete: Individual emitters can effectively be held morally responsible for their luxury emissions. Second, doubts (...) about individual agency have become overly emphasized and fail to convincingly exonerate individuals from responsibility. This book extends the second explanation for the motivational gap, namely that the arguments for the lack of individual agency do in fact correspond to mechanisms of moral disengagement. The use of these mechanisms enables consumption elites to maintain their consumptive lifestyles without having to accept moral responsibility for their luxury emissions. (shrink)

The technical advances that have enabled the development of "the cloud" have resulted in an exponential increase in the speed of information dissemination. Policy makers, sponsors of IT infrastructure and users of information and communication technologies, while being aware of the benefits of "the Cloud" as a mechanism to facilitate more efficient access to information, do not always appreciate that these developments may not always have the positive outcomes intended. University courses such as those in Social Informatics have managed to (...) keep pace with this rapid evolution of information and communication technologies and their societal impacts, but within the secondary education sector this has not always been possible, potentially creating a knowledge gap for tomorrow's policy makers. (shrink)

Volume 20, Issue 8, August 2020, Page W12-W13.

Upshot: We respond to three main challenges that the commentaries have raised. First, we argue that to deal successfully with the hard problem of consciousness, it is not enough to posit a remedy by which to move beyond the hard problem. Second, we argue that it makes no sense to explain identity. Yet this does not commit us to definitions by fiat. The strategy we pursue here, and in the target article, is not to explain identity but to explain away (...) the appearance of non-identity. Finally, while we are sympathetic to Varela’s call for a paradigm shift in consciousness studies, we argue here, and in the target article, that this call can only be properly successful if the hard problem is dismantled. (shrink)

Well before the COVID-19 pandemic, proponents of digital psychiatry were touting the promise of various digital tools and techniques to revolutionize mental healthcare. As social distancing and its knock-on effects have strained existing mental health infrastructures, calls have grown louder for implementing various digital mental health solutions at scale. Decisions made today will shape the future of mental healthcare for the foreseeable future. We argue that bioethicists are uniquely positioned to cut through the hype surrounding digital mental health, which can (...) obscure crucial ethical and epistemic gaps that ought to be considered by policymakers before committing to a digital psychiatric future. Here, we describe four such gaps: The evidence gap, the inequality gap, the prediction-intervention gap, and the safety gap. (shrink)

We reflect on the nature of corporate codes of conduct is this article. Based on John Austin’s speech act theory, four characteristics of a performative concept of corporate codes will be introduced: 1) the existential self-performative of the firm identity, 2) which is demanded by and responsive to their stakeholders; 3) Because corporate codes are structurally threatened by the possibility of failure, 4) embracing the code not only consists in actual corporate responsible behaviour in light of the code, but in (...) the incessant recapturing of the code in the struggle of firms against the possible incongruence between their ethical principles and their actual responsible behaviour. A performative concept of corporate codes helps to bridge classical dichotomies like individualist versus collectivist approaches of moral agency and restrictive versus empowering ethics, and opens a new perspective on the interaction between individual ethical behaviour and the corporate institutionalisation of codes. (shrink)

Most mental health research largely ignores or minimises gender and age differences in depression. In ‘Don't mind the gap: Why do we not care about the gender gap in mental health?’, Patalay and Demkowicz identify a dearth of research on the causal factors of depression in young women. They attribute this to an over-reliance on biological accounts of gender differences in depression. Patalay and Demkowicz conclude that a person-centred approach that meaningfully engages with the reports of young women with depression (...) is more likely to expose the social drivers of depression that impact this group. This commentary focuses on Patalay and Demkowicz's call to examine the patient's lived experience. We argue that there is an urgent need to reflect upon the methodologies involved in examining lived experience and how they can be best utilised. Ultimately, we advocate for an approach known as ‘phenomenological psychopathology’, through a phenomenological investigation of depression in young women, we can go some way towards closing the gender gap. (shrink)

Within the context of service inquiries, and the specialized inferential logic associated with the particularized activities there is a gap in the orientations of customers and service representatives. Specifically, one problem that arises in customer service encounters is that customers and service representatives appear to arrive at different understandings of what constitutes a relevant response to a service inquiry. By examining one type of customer service context, calls to an electronic repair facility, this article offers a conversation analytic account of (...) how customers use formulations to collaboratively achieve a mutually agreed upon answer to their service inquiry and close the gap in the underlying logics that emerge in these calls. (shrink)

The purpose of this paper is to analyse the gap between the strategic and operational levels of corporate responsibility. The strategic level of corporateresponsibility refers to the strategic plans concerning corporate responsibility which are examined by looking at the corporate responsibility documents. The operational level stands for the everyday actions of retailers which are analysed through interviews of nine retailers. The gap between the strategic plans and operational actions is described and analysed to understand why and how (...) the gap exists and what could be done to overcome the gap in the future. (shrink)

This contribution responds to Nicholas Wolterstorff’s argument for religious toleration and freedom of religion respectively that he develops in his paper ‘Toleration, justice and dignity’. I argue that Wolterstorff conflates religious toleration and the right to freedom of religion, which has problematic implications. Moreover, I reveal gaps in his justification of the special worth or dignity of human persons, and, derived from this, freedom of religion.

We argue that explainable artificial intelligence (XAI), specifically reason-giving XAI, often constitutes the most suitable way of ensuring that someone can properly be held responsible for decisions that are based on the outputs of artificial intelligent (AI) systems. We first show that, to close moral responsibility gaps (Matthias 2004), often a human in the loop is needed who is directly responsible for particular AI-supported decisions. Second, we appeal to the epistemic condition on moral responsibility to argue that, (...) in order to be responsible for her decision, the human in the loop has to have an explanation available of the system’s recommendation. Reason explanations are especially well-suited to this end and we examine whether – and how – it might be possible to make such explanations fit with AI systems. We support our claims by focusing on a case of disagreement between human in the loop and AI system. (shrink)

Consider the following sentences: The neighbouring sentence is not true. The neighbouring sentence is not true. Call these the no-no sentences. Symmetry considerations dictate that the no-no sentences must both possess the same truth-value. Suppose they are both true. Given Tarski’s truth-schema—if a sentence S says that p then S is true iff p—and given what they say, they are both not true. Contradiction! Conclude: they are not both true. Suppose they are both false. Given Tarski’s falsity-schema—if a sentence S (...) says that p then S is false iff not-p—and given what they say, they are both true, and so not false. Contradiction! Conclude: they are not both false. Thus, despite their symmetry, the no-no sentences must differ in truth-value. Such is the no-no paradox.[1] Sorensen (2001, 2005a, 2005b) has argued that: (1) The no-no paradox is not a version of the liar but rather a cousin of the truth-teller paradox. (2) Even so, the no-no paradox is more paradoxical than the truth-teller. (3) The no-no and truth-teller sentences have groundless truthvalues—they are bivalent but give rise to “truthmaker gaps”. (4) It is metaphysically impossible to know these truth-values. (5) A truthmaker gap response to the no-no paradox provides reason to accept a version of epistemicism. In this paper it is shown that a truthmaker gap solution to the no-no and truth-teller paradoxes runs afoul of the dunno-dunno paradox, the strengthened no-no paradox, and the strengthened truth-teller paradox. In consequence, the no-no paradox is best seen as a form of the liar paradox. As such, it cannot provide a case for epistemicism. (shrink)

Critical response to Laura Westra's article "The Disvalue of 'Contingent Valuation' and the Problem of the 'Expectation Gap'" (Environmental Values Vol.9, No.2, pp.153-171).