Technology Ethics

There are a number of recent attempts to introduce Confucian values to the ethical analysis of technology. These works, however, have not attended sufficiently to one central aspect of Confucianism, namely Ritual (‘Li’). Li is central to Confucian ethics, and it has been suggested that the emphasis on Li in Confucian ethics is what distinguishes it from other ethical traditions. Any discussion of Confucian ethics for technology, therefore, remains incomplete without accounting for Li. This chapter aims to elaborate on the (...) concept of Confucian Li and discuss its relevance to ethics of technology. Particularly, by referring to Li’s communicative, formative, and aesthetic function, I formulate an approach to ethics of technology with an emphasis on community, performance, and the aesthetic and demonstrate how this approach proceeds with the ethical analysis of technology. In doing so, I attempt to answer the question: why Confucianism matters in ethics of technology. (shrink)

The research climate plays a key role in fostering integrity in research. However, little is known about what constitutes a responsible research climate. We investigated academic researchers’ perceptions on this through focus group interviews. We recruited researchers from the Vrije Universiteit Amsterdam and the Amsterdam University Medical Center to participate in focus group discussions that consisted of researchers from similar academic ranks and disciplinary fields. We asked participants to reflect on the characteristics of a responsible research climate, the barriers they (...) perceived and which interventions they thought fruitful to improve the research climate. Discussions were recorded and transcribed at verbatim. We used inductive content analysis to analyse the focus group transcripts. We conducted 12 focus groups with 61 researchers in total. We identified fair evaluation, openness, sufficient time, integrity, trust and freedom to be mentioned as important characteristics of a responsible research climate. Main perceived barriers were lack of support, unfair evaluation policies, normalization of overwork and insufficient supervision of early career researchers. Possible interventions suggested by the participants centered around improving support, discussing expectations and improving the quality of supervision. Some of the elements of a responsible research climate identified by participants are reflected in national and international codes of conduct, such as trust and openness. Although it may seem hard to change the research climate, we believe that the realisation that the research climate is suboptimal should provide the impetus for change informed by researchers’ experiences and opinions. (shrink)

Research misconduct remains an important problem in health research despite decades of local, national, regional, and international efforts to eliminate it. The ultimate goal of every health research project, irrespective of setting, is to produce trustworthy findings to address local as well as global health issues. To be able to lead or participate meaningfully in international research collaborations, individual and institutional capacities for research integrity are paramount. Accordingly, this paper concerns itself not only with individuals’ research skills but also with (...) institutional and national policies and governance. Such policies and governance provide an ethical scaffold for the production of knowledge and structure incentives. This paper’s operational definition of research therefore draws from Institute of Medicine’s articulation of health research as an inquiry that aims to produce knowledge about the structure, processes, or effects of personal health services; and from an existing health systems framework. The paper reviews the research regulatory environment and the ethics apparatus in Ghana, and describes a project jointly undertaken by Ghanaian researchers in collaboration with New York University to assess the perceived adequacy of current institutional practices, opportunities, and incentives for promoting RI. (shrink)

Brain reading technologies are rapidly being developed in a number of neuroscience fields. These technologies can record, process, and decode neural signals. This has been described as ‘mind reading technology’ in some instances, especially in popular media. Should the public at large, be concerned about this kind of technology? Can it really read minds? Concerns about mind-reading might include the thought that, in having one’s mind open to view, the possibility for free deliberation, and for self-conception, are eroded where one (...) isn’t at liberty to privately mull things over. Themes including privacy, cognitive liberty, and self-conception and expression appear to be areas of vital ethical concern. Overall, this article explores whether brain reading technologies are really mind reading technologies. If they are, ethical ways to deal with them must be developed. If they are not, researchers and technology developers need to find ways to describe them more accurately, in order to dispel unwarranted concerns and address appropriately those that are warranted. (shrink)

The ethics of using nonhuman animals in biomedical research is usually seen as a subfield of animal ethics. In recent years, however, the ethics of animal research has increasingly become a subfield within research ethics under the term “animal research ethics”. Consequently, ethical issues have become prominent that are familiar in the context of human research ethics, such as autonomy or self-determination, harms and benefits, justice, and vulnerability. After a brief overview of the development of the field and a discussion (...) of relevant theoretical ethical frameworks, I consider two of these issues, namely autonomy and self-determination on the one hand, and harms and benefits on the other hand. My concern is with philosophical and ethical issues, rather than animal research oversight. I focus my discussion on nonhuman primates, as the most plausible nonhuman candidates for this approach. I conclude that the approach, although promising, depends strongly on the moral status of nonhuman research subjects. (shrink)

Physicians try hard to alleviate mental and physical ailments of their patients. Thus, they are heavily burdened by observing ethics and staying well-informed while improving health of their patients. A major ethical concern or dilemma in medication is that some physicians know their behavior is unethical, yet act against their moral compass. This study develops models of theory–practice gap, offering optimal solutions for the gap. These solutions would enhance self-motivation or remove external obstacles to stimulate ethical practices in medicine. The (...) Constructivist Grounded Theory Methodology is applied here where the participants and the main researcher mutually interacted with each other. Data collection was performed through qualitative methods including observation and semi-structured interviews with 21 physicians and medical students. Initial and focused coding was done, from which principal concepts were later extracted. MAXQDA software was used for analyzing data. Analysis of twelve major concepts in the study resulted in two factors and solution groups, from which four general notions influencing the ethical theory and practice gap in medicine were extracted: providing effective education to change attitude and behavior; considering motivational and emotional factors; reconstructing regulations and processes to facilitate ethical practice; conducting comprehensive and systematic studies. The existing medical educational system needs to be reconsidered to add to individual internal motivation, including optimizing persuasion strategies, maximizing participation of students, adhering to virtuous ethical theories, and fostering emotions. Additionally, regulations and processes can be reconstructed to remove practical obstacles and promote ethical practice with insignificant damages to individual self-motivation. (shrink)

Engineering programs in the United States have been experimenting with diverse pedagogical approaches to educate future professional engineers. However, a crucial dimension of ethics education that focuses on the values, personal commitments, and meaning of engineers has been missing in many of these pedagogical approaches. We argue that a value-based approach to professional ethics education is critically needed in engineering education, because such an approach is indispensable for cultivating self-reflective and socially engaged engineers. This paper starts by briefly comparing two (...) prevalent approaches to ethics education in science and engineering: professional and philosophical. While we acknowledge that both approaches help meet certain ethics education objectives, we also argue that neither of these is sufficient to personally engage students in authentic moral learning. We make the case that it is important to connect ethics education to the heart, which is extensively driven by values, and present a value-based approach to professional ethics education. We provide some classroom practices that cultivate a safe, diverse, and engaging learning environment. Finally, we discuss the implications of a value-based approach to professional ethics education for curriculum design and pedagogical practice, including opportunities and challenges for engineering faculty eager to incorporate value-based inquiry into their classrooms. (shrink)

Data science skills are rapidly becoming a necessity in modern science. In response to this need, institutions and organizations around the world are developing research data science curricula to teach the programming and computational skills that are needed to build and maintain data infrastructures and maximize the use of available data. To date, however, few of these courses have included an explicit ethics component, and developing such components can be challenging. This paper describes a novel approach to teaching data ethics (...) on short courses developed for the CODATA-RDA Schools for Research Data Science. The ethics content of these schools is centred on the concept of open and responsible science citizenship that draws on virtue ethics to promote ethics of practice. Despite having little formal teaching time, this concept of citizenship is made central to the course by distributing ethics content across technical modules. Ethics instruction consists of a wide range of techniques, including stand-alone lectures, group discussions and mini-exercises linked to technical modules. This multi-level approach enables students to develop an understanding both of “responsible and open science citizenship”, and of how such responsibilities are implemented in daily research practices within their home environment. This approach successfully locates ethics within daily data science practice, and allows students to see how small actions build into larger ethical concerns. This emphasises that ethics are not something “removed from daily research” or the remit of data generators/end users, but rather are a vital concern for all data scientists. (shrink)

This paper makes a conceptual inquiry into the notion of ‘publics’, and forwards an understanding of this notion that allows more responsible forms of decision-making with regards to technologies that have localized impacts, such as wind parks, hydrogen stations or flood barriers. The outcome of this inquiry is that the acceptability of a decision is to be assessed by a plurality of ‘publics’, including that of a local community. Even though a plurality of ‘publics’ might create competing normative demands, its (...) acknowledgment is necessary to withstand the monopolization of the process of technology appraisal. The paper presents four ways in which such an appropriation of publicness takes place. The creation of dedicated ‘local publics’, in contrast, helps to overcome these problems and allows for more responsible forms of decision-making. We describe ‘local publics’ as those in which stakeholders from the different publics that are related to the process of technology implementation are brought together, and in which concerns and issues from these publics are deliberated upon. The paper will present eight conditions for increasing the effectiveness of such ‘local publics’. (shrink)

In many countries attention for fostering research integrity started with a misconduct case that got a lot of media exposure. But there is an emerging consensus that questionable research practices are more harmful due to their high prevalence. QRPs have in common that they can help to make study results more exciting, more positive and more statistically significant. That makes them tempting to engage in. Research institutions have the duty to empower their research staff to steer away from QRPs and (...) to explain how they realize that in a Research Integrity Promotion Plan. Avoiding perverse incentives in assessing researchers for career advancement is an important element in that plan. Research institutions, funding agencies and journals should make their research integrity policies as evidence-based as possible. The dilemmas and distractions researchers face are real and universal. We owe it to society to collaborate and to do our utmost best to prevent QRPs and to foster research integrity. (shrink)

This article presents the first thematic review of the literature on the ethical issues concerning digital well-being. The term ‘digital well-being’ is used to refer to the impact of digital technologies on what it means to live a life that is good for a human being. The review explores the existing literature on the ethics of digital well-being, with the goal of mapping the current debate and identifying open questions for future research. The review identifies major issues related to several (...) key social domains: healthcare, education, governance and social development, and media and entertainment. It also highlights three broader themes: positive computing, personalised human–computer interaction, and autonomy and self-determination. The review argues that three themes will be central to ongoing discussions and research by showing how they can be used to identify open questions related to the ethics of digital well-being. (shrink)

This paper discusses the robotization of the workplace, and particularly the question of whether robots can be good colleagues. This might appear to be a strange question at first glance, but it is worth asking for two reasons. Firstly, some people already treat robots they work alongside as if the robots are valuable colleagues. It is worth reflecting on whether such people are making a mistake. Secondly, having good colleagues is widely regarded as a key aspect of what can make (...) work meaningful. In discussing whether robots can be good colleagues, the paper compares that question to the more widely discussed questions of whether robots can be our friends or romantic partners. The paper argues that the ideal of being a good colleague has many different parts, and that on a behavioral level, robots can live up to many of the criteria typically associated with being a good colleague. Moreover, the paper also argues that in comparison with the more demanding ideals of being a good friend or a good romantic partner, it is comparatively easier for a robot to live up to the ideal of being a good colleague. The reason for this is that the “inner lives” of our friends and lovers are more important to us than the inner lives of our colleagues. (shrink)

In 2016, Davis and Zhang surveyed 71 Chinese engineers to investigate the claim that the concept of “profession” may have a far wider range than the term. They concluded that China seems to have a profession of engineering even though the Chinese still lacked an exact translation of the English term. In part, the survey reported here simply continues the work of Davis and Zhang. It confirms their result using a much larger, better educated, demographically different pool of 229 Chinese (...) engineers. But, in part too, it does something else. It investigates the concept professional competence—the perceived knowledge, skill, and judgment that those surveyed attribute to themselves and other engineers. The article has four parts. The first part describes the basics of the survey. The second part describes some important features of the survey’s questions, explaining how the questions closely track both the concept of profession and the concept of professional competence. The third part reports and interprets the results relevant to the presence or absence of the concepts of profession and professional competence. The fourth part reports the conclusions. (shrink)

Authorship transgressions, duplicate data reporting and reporting/data errors compromise the integrity of biomedical publications. Using a standardized template, we raised concerns with journals about each of these characteristics in 33 pairs of publications originating from 15 preclinical trials reported by a group of researchers. The outcomes of interest were journal responses, including time to acknowledgement of concerns, time to decision, content of decision letter, and disposition of publications at 1 year. Authorship transgressions affected 27/36 publications. The median proportion of duplicate (...) data within pairs of publications was 45%. Data/reporting discrepancies [median 3 ] were present in 28/33 pairs. Journals acknowledged receipt of concerns for 53% and 94% of publications by 1 month and 9 months, respectively. After 1 year, journals had communicated decisions for 16/36 publications. None of the decision letters specifically addressed each of the concerns raised. Decisions were no action, correction and retraction for 9, 3 and 4 publications, respectively: the amounts of duplicate data reporting and data/reporting discrepancies were similar irrespective of journal decision. Authorship transgressions affected 6/9 publications for which no action was decided. Journal responses to concerns about duplicate publication, authorship transgressions, and data/reporting discrepancies were slow, opaque and inconsistent. (shrink)

Engineers and other technical professionals are increasingly challenged by the impacts of globalization. Further, engineering educators, technical managers, and human resources staff have demonstrated great interest in selecting and training engineers who are capable of working competently, professionally, and ethically in global context. However, working across countries and cultures brings considerable challenges to global engineers, including as related to understanding and navigating local and regional differences in what counts as professional ethics and integrity. In this study, we focus on written (...) responses to 27 assessment scenarios that involve micro- and/or macro-ethical considerations in six national/cultural contexts. More specifically, we analyze responses to open-ended versions of the scenarios. Our participants consisted of both experts and novices. Comparing and contrasting how experts and novices responded to these ethical problems sheds light on differences in their ethical strategies and approaches. This analysis also allows us to discern what specific cultural knowledge and sensitivity were employed by experts in solving cross-cultural ethical problems, but were largely lacking among novices. Finally, we analyze and discuss challenges faced by experts and novices in responding to cross-cultural ethical situations. (shrink)

This paper discusses the problem of responsibility attribution raised by the use of artificial intelligence technologies. It is assumed that only humans can be responsible agents; yet this alone already raises many issues, which are discussed starting from two Aristotelian conditions for responsibility. Next to the well-known problem of many hands, the issue of “many things” is identified and the temporal dimension is emphasized when it comes to the control condition. Special attention is given to the epistemic condition, which draws (...) attention to the issues of transparency and explainability. In contrast to standard discussions, however, it is then argued that this knowledge problem regarding agents of responsibility is linked to the other side of the responsibility relation: the addressees or “patients” of responsibility, who may demand reasons for actions and decisions made by using AI. Inspired by a relational approach, responsibility as answerability thus offers an important additional, if not primary, justification for explainability based, not on agency, but on patiency. (shrink)

Authorship is commonly used as the basis for the measurement of research productivity. It influences career progression and rewards, making it a valued commodity in a competitive scientific environment. To better understand authorship practices amongst collaborative teams, this study surveyed authors on collaborative journal articles published between 2011 and 2015. Of the 8364 respondents, 1408 responded to the final open-ended question, which solicited additional comments or remarks regarding the fair distribution of authorship in research teams. This paper presents the analysis (...) of these comments, categorized into four main themes: disagreements, questionable behavior, external influences regarding authorship, and values promoted by researchers. Results suggest that some respondents find ways to effectively manage disagreements in a collegial fashion. Conversely, others explain how distribution of authorship can become a “blood sport” or a “horror story” which can negatively affect researchers’ wellbeing, scientific productivity and integrity. Researchers fear authorship discussions and often try to avoid openly discussing the situation which can strain team interactions. Unethical conduct is more likely to result from deceit, favoritism, and questionable mentorship and may become more egregious when there is constant bullying and discrimination. Although values of collegiality, transparency and fairness were promoted by researchers, rank and need for success often overpowered ethical decision-making. This research provides new insight into contextual specificities related to fair authorship distribution that can be instrumental in developing applicable training tools to identify, prevent, and mitigate authorship disagreement. (shrink)

Scientific authorship serves to identify and acknowledge individuals who “contribute significantly” to published research. However, specific authorship norms and practices often differ within and across disciplines, labs, and cultures. As a consequence, authorship disagreements are commonplace in team research. This study aims to better understand the prevalence of authorship disagreements, those factors that may lead to disagreements, as well as the extent and nature of resulting misbehavior. Methods include an international online survey of researchers who had published from 2011 to (...) 2015. Of the 6673 who completed the main questions pertaining to authorship disagreement and misbehavior, nearly half reported disagreements regarding authorship naming; and discipline, rank, and gender had significant effects on disagreement rates. Paradoxically, researchers in multidisciplinary teams that typically reflect a range of norms and values, were less likely to have faced disagreements regarding authorship. Respondents reported having witnessed a wide range of misbehavior including: instances of hostility, undermining of a colleague’s work during meetings/talks, cutting corners on research, sabotaging a colleague’s research, or producing fraudulent work to be more competitive. These findings suggest that authorship disputes may contribute to an unhealthy competitive dynamic that can undermine researchers’ wellbeing, team cohesion, and scientific integrity. (shrink)

To develop more effective ethics education for cross-cultural and international engineering, a study was conducted to determine what Chinese engineering students have learned and think about ethics. Recent research shows traditional approaches to ethics education are potentially ineffective, but also points towards ways of improving ethical behaviors. China is the world’s most populous country, graduating and employing the highest number of STEM majors, although little empirical research exists about the ethical knowledge and perspectives of Chinese engineering students. When compared to (...) engineering students in the US, Chinese engineering students received less ethics education; the form of the education they did receive stressed virtue ethics or the development of moral character; conceive of ethics in contradistinction to the law, where ethics deals with matters of right and wrong not covered by legality. Based on these findings and research in moral psychology and behavioral ethics, recommendations are made for improving engineering ethics education both in China and abroad. (shrink)

Aicardi et al. look to neuroscience to mitigate the limitations of current robotics technology. They propose that robotics technology guided by neuroscience has the capacity to create intelligent robots that function with awareness and capacity for abstraction and reasoning. As neurorobotics extends the capability of robotics technology, it introduces new social and ethical concerns, in particular co-opting civilian applications for military use, conflicts between industry and the academy, and data security. However, here we argue that empirical evidence has shown that (...) human cognition is faulty; therefore there is not a clear motivation to build intelligent robots on a human model; representation of meaning in the brain is not well-understood; therefore neuro-robotics is limited; and to the extent that intelligent robots become a reality, the ethics of robot rights will be of central concern. (shrink)

Considering the popular framing of an artificial intelligence as a rational agent that always seeks to maximise its expected utility, referred to as its goal, one of the features attributed to such rational agents is that they will never select an action which will change their goal. Therefore, if such an agent is to be friendly towards humanity, one argument goes, we must understand how to specify this friendliness in terms of a utility function. Wolfhart Totschnig, argues in contrast that (...) a fully autonomous agent will have the ability to change its utility function and will do so guided by its values. This commentary examines computational accounts of goals, values and decision-making. It rejects the idea that a rational agent will never select an action that changes its goal but also argues that an artificial intelligence is unlikely to be purely rational in terms of always acting to maximise a utility function. It nevertheless also challenges the idea that an agent which does not change its goal cannot be considered fully autonomous. It does agree that values are an important component of decision-making and explores a number of reasons why. (shrink)

In this article, I analyze norm enforcement on social media, specifically cases where an agent has committed a moral transgression online and is brought to account by an Internet mob with incongruously injurious results in their offline life. I argue that users problematically imagine that they are members of a particular kind of moral community where shaming behaviors are not only acceptable, but morally required to ‘take down’ those who appear to violate community norms. I then demonstrate the costs that (...) are associated with this strategy; the most worrisome being those that distort the nature of moral dialog and the purpose and effectiveness of accountability practices online, creating a vitriolic and polarising online environment. Because of these negative consequences, I suggest that we ought to hold others accountable for restorative ends. I argue that restorative accountability practices can help us cultivate new norms online that rely less for their enforcement upon negative acts such as shame, and more upon positive acts that focus upon the most appropriate way to make amends to the victim(s) and the community. In this sense, restorative accountability incorporates important elements from the ethics of care, a relational ethics that values creating, promoting, and restoring good social and personal relationships. I conclude by arguing that accountability practices premised on the ethics of care produce better outcomes for the victim (s) of a moral violation, the transgressor, and the community. (shrink)

This paper presents an experimental approach for engaging undergraduate STEM students in anticipatory ethical reasoning, or ethical reasoning applied to the analysis of potential mid- to long-term implications and outcomes of technological innovation. The authors implemented two variations of an approach that integrates three key components—scenario analysis, design fiction, and ethical frameworks—into five sections of an introductory course on the social contexts of science and technology that is required of STEM majors. The authors dub this approach Creative Anticipatory Ethical Reasoning, (...) or CAER. Scenario analysis is a strategy emerging from business consulting for grounded analysis of plausible future trajectories to inform planning. Design fiction is a creative hands-on activity that blends science fiction and design prototyping to facilitate critical thinking with respect to the societal dimensions of a plausible future technology. The authors present the following findings: in each of the variations, students demonstrated significant engagement with CAER and a substantive shift in their conception of what constitutes responsible innovation and ethical conduct in science and technology. Specifically, their integration of ethical reasoning with stakeholder perspectives and scenario analysis reframed technologies, from unproblematic solutions for societal problems to socially-embedded forms of life that might diverge from designers’ intentions. This suggests that CAER could be a useful pedagogical intervention for expanding students’ ethical engagement to consider the potential unintended consequences of technological innovation. (shrink)

The interdisciplinary field of neurorobotics looks to neuroscience to overcome the limitations of modern robotics technology, to robotics to advance our understanding of the neural system’s inner workings, and to information technology to develop tools that support those complementary endeavours. The development of these technologies is still at an early stage, which makes them an ideal candidate for proactive and anticipatory ethical reflection. This article explains the current state of neurorobotics development within the Human Brain Project, originating from a close (...) collaboration between the scientific and technical experts who drive neurorobotics innovation, and the humanities and social sciences scholars who provide contextualising and reflective capabilities. This article discusses some of the ethical issues which can reasonably be expected. On this basis, the article explores possible gaps identified within this collaborative, ethical reflection that calls for attention to ensure that the development of neurorobotics is ethically sound and socially acceptable and desirable. (shrink)

Rapid advancements in machine learning techniques allow mass surveillance to be applied on larger scales and utilize more and more personal data. These developments demand reconsideration of the privacy-security dilemma, which describes the tradeoffs between national security interests and individual privacy concerns. By investigating mass surveillance techniques that use bulk data collection and machine learning algorithms, we show why these methods are unlikely to pinpoint terrorists in order to prevent attacks. The diverse characteristics of terrorist attacks—especially when considering lone-wolf terrorism—lead (...) to irregular and isolated footprints. The irregularity of data affects the accuracy of machine learning algorithms and the mass surveillance that depends on them which can be explained by three kinds of known problems encountered in machine learning theory: class imbalance, the curse of dimensionality, and spurious correlations. Proponents of mass surveillance often invoke the distinction between collecting data and metadata, in which the latter is understood as a lesser breach of privacy. Their arguments commonly overlook the ambiguity in the definitions of data and metadata and ignore the ability of machine learning techniques to infer the former from the latter. Given the sparsity of datasets used for machine learning in counterterrorism and the privacy risks attendant with bulk data collection, policymakers and other relevant stakeholders should critically re-evaluate the likelihood of success of the algorithms and the collection of data on which they depend. (shrink)

Despite widespread agreement that privacy in the context of education is important, it can be difficult to pin down precisely why and to what extent it is important, and it is challenging to determine how privacy is related to other important values. But that task is crucial. Absent a clear sense of what privacy is, it will be difficult to understand the scope of privacy protections in codes of ethics. Moreover, privacy will inevitably conflict with other values, and understanding the (...) values that underwrite privacy protections is crucial for addressing conflicts between privacy and institutional efficiency, advising efficacy, vendor benefits, and student autonomy. -/- My task in this paper is to seek a better understanding of the concept of privacy in institutional research, canvas a number of important moral values underlying privacy generally (including several that are explicit in the AIR Statement), and examine how those moral values should bear upon institutional research by considering several recent cases. (shrink)

The crash of two 737 MAX passenger aircraft in late 2018 and early 2019, and subsequent grounding of the entire fleet of 737 MAX jets, turned a global spotlight on Boeing’s practices and culture. Explanations for the crashes include: design flaws within the MAX’s new flight control software system designed to prevent stalls; internal pressure to keep pace with Boeing’s chief competitor, Airbus; Boeing’s lack of transparency about the new software; and the lack of adequate monitoring of Boeing by the (...) FAA, especially during the certification of the MAX and following the first crash. While these and other factors have been the subject of numerous government reports and investigative journalism articles, little to date has been written on the ethical significance of the accidents, in particular the ethical responsibilities of the engineers at Boeing and the FAA involved in designing and certifying the MAX. Lessons learned from this case include the need to strengthen the voice of engineers within large organizations. There is also the need for greater involvement of professional engineering societies in ethics-related activities and for broader focus on moral courage in engineering ethics education. (shrink)

The benefits of Artificial Intelligence in medicine are unquestionable and it is unlikely that the pace of its development will slow down. From better diagnosis, prognosis, and prevention to more precise surgical procedures, AI has the potential to offer unique opportunities to enhance patient care and improve clinical practice overall. However, at this stage of AI technology development it is unclear whether it will de-humanize or re-humanize medicine. Will AI allow clinicians to spend less time on administrative tasks and technology (...) related procedures and more time being present in person to attend to the needs of their patients? Or will AI dramatically increase the presence of smart technology in the clinical context to a point of undermining the humane dimension of the patient–physician relationship? In this brief commentary, we argue that technological solutions should be only integrated into clinical medicine if they fulfill the following three conditions: they serve human ends; they respect personal identity; and they promote human interaction. These three conditions form the moral imperative of humanity. (shrink)

This paper surveys the state-of-the-art in machine ethics, that is, considerations of how to implement ethical behaviour in robots, unmanned autonomous vehicles, or software systems. The emphasis is on covering the breadth of ethical theories being considered by implementors, as well as the implementation techniques being used. There is no consensus on which ethical theory is best suited for any particular domain, nor is there any agreement on which technique is best placed to implement a particular theory. Another unresolved problem (...) in these implementations of ethical theories is how to objectively validate the implementations. The paper discusses the dilemmas being used as validating ‘whetstones’ and whether any alternative validation mechanism exists. Finally, it speculates that an intermediate step of creating domain-specific ethics might be a possible stepping stone towards creating machines that exhibit ethical behaviour. (shrink)

Biobased production has been promoted as a sustainable alternative to fossil resources. However, controversies over its impact on sustainability highlight societal concerns, value tensions and uncertainties that have not been taken into account during its development. In this work, the consideration of stakeholders’ values in a biorefinery design project is investigated. Value sensitive design is a promising approach to the design of technologies with consideration of stakeholders’ values, however, it is not directly applicable for complex systems like biorefineries. Therefore, some (...) elements of VSD, such as the identification of relevant values and their connection to a technology’s features, are brought into biorefinery design practice. Midstream modulation, an approach to promoting the consideration of societal aspects during research and development activities, is applied to promote reflection and value considerations during the design decision making. As result, it is shown that MM interventions during the design process led to new design alternatives in support of stakeholders' values, and allowed to recognize and respond to emerging value tensions within the scope of the project. In this way, the present work shows a novel approach for the technical investigation of VSD, especially for biorefineries. Also, based on this work it is argued that not only reflection, but also flexibility and openness are important for the application of VSD in the context of biorefinery design. (shrink)

Artificial moral agents raise complex ethical questions both in terms of the potential decisions they may make as well as the inputs that create their cognitive architecture. There are multiple differences between human and artificial cognition which create potential barriers for artificial moral agency, at least as understood anthropocentrically and it is unclear that artificial moral agents should emulate human cognition and decision-making. It is conceptually possible for artificial moral agency to emerge that reflects alternative ethical methodologies without creating ontological (...) challenges or existential crises for human moral agents. (shrink)

Ethical reflection on Artificial Intelligence has become a priority. In this article, we propose a methodological model for a comprehensive ethical analysis of some uses of AI, notably as a replacement of human actors in specific activities. We emphasize the need for conceptual clarification of relevant key terms in order to undertake such reflection. Against that background, we distinguish two levels of ethical analysis, one practical and one theoretical. Focusing on the state of AI at present, we suggest that regardless (...) of the presence of intelligence, the lack of morally relevant features calls for caution when considering the role of AI in some specific human activities. (shrink)

Autonomous vehicles —and accidents they are involved in—attest to the urgent need to consider the ethics of artificial intelligence. The question dominating the discussion so far has been whether we want AVs to behave in a ‘selfish’ or utilitarian manner. Rather than considering modeling self-driving cars on a single moral system like utilitarianism, one possible way to approach programming for AI would be to reflect recent work in neuroethics. The agent–deed–consequence model :3–20, 2014a, Behav Brain Sci 37:487–488, 2014b) provides a (...) promising descriptive and normative account while also lending itself well to implementation in AI. The ADC model explains moral judgments by breaking them down into positive or negative intuitive evaluations of the agent, deed, and consequence in any given situation. These intuitive evaluations combine to produce a positive or negative judgment of moral acceptability. For example, the overall judgment of moral acceptability in a situation in which someone committed a deed that is judged as negative would be mitigated if the agent had good intentions and the action had a good consequence. This explains the considerable flexibility and stability of human moral judgment that has yet to be replicated in AI. This paper examines the advantages and disadvantages of implementing the ADC model and how the model could inform future work on ethics of AI in general. (shrink)

Empirical studies have suggested that language-capable robots have the persuasive power to shape the shared moral norms based on how they respond to human norm violations. This persuasive power presents cause for concern, but also the opportunity to persuade humans to cultivate their own moral development. We argue that a truly socially integrated and morally competent robot must be willing to communicate its objection to humans’ proposed violations of shared norms by using strategies such as blame-laden rebukes, even if doing (...) so may violate other standing norms, such as politeness. By drawing on Confucian ethics, we argue that a robot’s ability to employ blame-laden moral rebukes to respond to unethical human requests is crucial for cultivating a flourishing “moral ecology” of human–robot interaction. Such positive moral ecology allows human teammates to develop their own moral reflection skills and grow their own virtues. Furthermore, this ability can and should be considered as one criterion for assessing artificial moral agency. Finally, this paper discusses potential implications of the Confucian theories for designing socially integrated and morally competent robots. (shrink)

The incorporation of neural-based technologies into psychiatry offers novel means to use neural data in patient assessment and clinical diagnosis. However, an over-optimistic technologisation of neuroscientifically-informed psychiatry risks the conflation of technological and psychological norms. Neurotechnologies promise fast, efficient, broad psychiatric insights not readily available through conventional observation of patients. Recording and processing brain signals provides information from ‘beneath the skull’ that can be interpreted as an account of neural processing and that can provide a basis to evaluate general behaviour (...) and functioning. But it ought not to be forgotten that the use of such technologies is part of a human practice of neuroscience informed psychiatry. This paper notes some challenges in the integration of neural technologies into psychiatry and suggests vigilance particularly in respect to normative challenges. In this way, psychiatry can avoid a drift toward reductive technological approaches, while nonetheless benefitting from promising advances in neuroscience and technology. (shrink)

There is growing consensus that teaching computer ethics is important, but there is little consensus on how to do so. One unmet challenge is increasing the capacity of computing students to make decisions about the ethical challenges embedded in their technical work. This paper reports on the design, testing, and evaluation of an educational simulation to meet this challenge. The privacy by design simulation enables more relevant and effective computer ethics education by letting students experience and make decisions about common (...) ethical challenges encountered in real-world work environments. This paper describes the process of incorporating empirical observations of ethical questions in computing into an online simulation and an in-person board game. We employed the Values at Play framework to transform empirical observations of design into a playable educational experience. First, we conducted qualitative research to discover when and how values levers—practices that encourage values discussions during technology development—occur during the design of new mobile applications. We then translated these findings into gameplay elements, including the goals, roles, and elements of surprise incorporated into a simulation. We ran the online simulation in five undergraduate computer and information science classes. Based on this experience, we created a more accessible board game, which we tested in two undergraduate classes and two professional workshops. We evaluated the effectiveness of both the online simulation and the board game using two methods: a pre/post-test of moral sensitivity based on the Defining Issues Test, and a questionnaire evaluating student experience. We found that converting real-world ethical challenges into a playable simulation increased student’s reported interest in ethical issues in technology, and that students identified the role-playing activity as relevant to their technical coursework. This demonstrates that roleplaying can emphasize ethical decision-making as a relevant component of technical work. (shrink)

Political advertising is changing. This chapter considers some of the implications of this for the democratic process. I begin with recent reports of online political advertising. From this, two related concerns emerge. The first is that online political advertisements sometimes occur in the dark, and the second is that they can involve sending different messages to different groups. I consider these issues in turn. This involves an extended discussion of the importance of publicity and discussion in democracy, and a comparison (...) between dog whistles and dark advertisements. Through this, I look to outline some of the ways in which online political advertisements can undermine the democratic process. (shrink)

Is there a difference between human beings and those based on artificial intelligence that would affect their ability to be subjects of dignity? This paper first examines the philosophical notion of dignity as Immanuel Kant derives it from the moral autonomy of the individual. It then asks whether animals and AI systems can claim Kantian dignity or whether there is a sharp divide between human beings, animals and AI systems regarding their ability to be subjects of dignity. How this question (...) is answered depends crucially on one’s understanding of what constitutes human dignity and autonomy, and what requirements one places upon systems in order for them to be seen as morally autonomous. (shrink)

Promoting translational research as a means to overcoming chasms in the translation of knowledge through successive fields of research from basic science to public health impacts and back is a central challenge for research managers and policymakers. Organizational leaders need to assess baseline conditions, identify areas needing improvement, and to judge the impact of specific initiatives to sustain or improve translational research practices at their institutions. Currently, there is a lack of such an assessment tool addressing the specific context of (...) translational biomedical research. To close this gap, we have developed a new survey for assessing the organizational climate for translational research. This self-assessment tool measures employees’ perceptions of translational research climate and underlying research practices in organizational environments and builds on the established Survey of Organizational Research Climate, assessing research integrity. Using this tool, we show that scientists at a large university hospital perceive translation as a central and important component of their work. Importantly, local resources and direct support are main contributing factors for the practical implementation of translation into their own research practice. We identify and discuss potential leverage points for an improvement of research climate to foster successful translational research. (shrink)

The use of drones in public healthcare is suggested as a means to improve efficiency under constrained resources and personnel. This paper begins by framing drones in healthcare as a social experiment where ethical guidelines are needed to protect those impacted while fully realizing the benefits the technology offers. Then we propose an ethical framework to facilitate the design, development, implementation, and assessment of drones used in public healthcare. Given the healthcare context, we structure the framework according to the four (...) bioethics principles: beneficence, non-maleficence, autonomy, and justice, plus a fifth principle from artificial intelligence ethics: explicability. These principles are abstract which makes operationalization a challenge; therefore, we suggest an approach of translation according to a values hierarchy whereby the top-level ethical principles are translated into relevant human values within the domain. The resulting framework is an applied ethics tool that facilitates awareness of relevant ethical issues during the design, development, implementation, and assessment of drones in public healthcare. (shrink)