The paper presents a framework to realise “meaningful human control” over Automated Driving Systems. The framework is based on an original synthesis of the results of the multidisciplinary research project “Meaningful Human Control over Automated Driving Systems” lead by a team of engineers, philosophers, and psychologists at Delft University of the Technology from 2017 to 2021. Meaningful human control aims at protecting safety and reducing responsibility gaps. The framework is based on the core assumption that human persons and (...) institutions, not hardware and software and their algorithms, should remain ultimately—though not necessarily directly—in control of, and thus morally responsible for, the potentially dangerous operation of driving in mixed traffic. We propose an Automated Driving System to be under meaningful human control if it behaves according to the relevant reasons of the relevant human actors (tracking), and that any potentially dangerous event can be related to a human actor (tracing). We operationalise the requirements for meaningful human control through multidisciplinary work in philosophy, behavioural psychology and traffic engineering. The tracking condition is operationalised via a proximal scale of reasons and the tracing condition via an evaluation cascade table. We review the implications and requirements for the behaviour and skills of human actors, in particular related to supervisory control and driver education. We show how the evaluation cascade table can be applied in concrete engineering use cases in combination with the definition of core components to expose deficiencies in traceability, thereby avoiding so-called responsibility gaps. Future research directions are proposed to expand the philosophical framework and use cases, supervisory control and driver education, real-world pilots and institutional embedding. (shrink)

Proponents of engineering and design approaches to biology aim to make interdisciplinary bioscience research faster and more reproducible. This paper outlines and deploys a practice-based approach to analyses of infrastructure that focuses on the routine epistemic activities and charts how two such routines are unsettled and resettled in the background of epistemic culture. This paper describes attempts to bring about new research infrastructures in synthetic biology using robotics and software-enabled design. A focus on the skills of pipetting shows how (...) established manual labor has to be reconfigured to fit with novel robotic automations. An analysis of curating frozen materials shows that automated design presents new problems for the established activities of storing and retrieving biological materials. These movements, while transient, have implications for organizing interdisciplinary collaboration, research productivity, and enabling greater reproducibility. This paper explores the idea of infrastructure as practice and shows how this has important implications for studies of research infrastructures. This article discusses the main contributions of this approach for analysts of infrastructure in terms of movements, temporalities, and ethics and offers suggestions for what the research implies for synthetic biology. (shrink)

ABSTRACTIn keeping with the dominant view that skills are largely automatic, the standard view of memory systems distinguishes between a representational declarative system associated with cognitive processes and a performance-based procedural system. The procedural system is thought to be largely responsible for the performance of well-learned skilled actions. Here we argue that most skills do not fully automate, which entails that the declarative system should make a substantial contribution to skilled performance. To support this view, we review evidence showing (...) that the declarative system does indeed play a number of roles in skilled action. (shrink)

Doing Practical Ethics supports the deliberate practice of philosophical skills relevant to understanding, evaluating, and developing arguments in forms commonly used in the field of practical ethics. Each chapter includes an explanation of a specific moral reasoning skill, demonstration exercises with sample solutions that offer students immediate feedback on their initial practice attempts, and extensive sets of practice exercises. It is suitable for any ethics course that centrally features argument from principle, argument from analogy, or inference to the best (...) explanation. It may be used as a standalone text in a debate-focused course. Paired with an anthology in a readings-focused course, it will help students develop the skills they need to understand and evaluate the arguments in the assigned readings. (shrink)

People can learn to perform new tasks very quickly by making use of lower‐level skills they have developed when learning previous tasks. Hoekstra, Martens, and Taatgen model this process, showing how a system trained on simple tasks (visual search and two working memory tasks) can then quickly learn to perform the attentional blink task, and it ends up making the same sorts of errors as people do.

What skills are required for working with computer-controlled machines in the manufacturing area? Taking the developments in the machine building sector in Germany as an example, it becomes apparent that a human-centred approach (skill-based manufacturing) offers the companies many advantages over Tayloristic forms of work organisation and automation. Closer observations reveal that skills and qualifications based on empirical knowledge and individual capabilities, such as a feeling for machines and materials, continue to play an important part in (...) the work with computer-controlled machines. So far, however, skills of this kind have received neither practical nor systematic consideration and are regarded as tacit skills in most cases. Therefore it is particularly the use of computer technology which is likely — in most cases unintentionally — to restrict and undermine the essential preconditions necessary for the development and application of such skills. (shrink)

One important aim of moral philosophy courses is to help students build the skills necessary to make their own well-reasoned decisions about moral issues. This includes the skill of determining when a particular moral reason provides a good answer to a moral question or not. Helping students think critically about religious reasons like “because God says so” and “because scripture explicitly says so” can be challenging because such lessons can be misperceived as coercive or anti-religious. I describe a framework (...) for teaching about religion and moral reasons that I have found overcomes these challenges while also building generalizable skill at analyzing and evaluating moral reasons. (shrink)

Veissière and colleagues make a valiant attempt at reconciling an internalist account of implicit cultural learning with an externalist account that understands social behaviour in terms of its environment-involving dynamics. However, unfortunately the author's attempt to forge a middle way between internalism and externalism fails. We argue their failure stems from the overly individualistic understanding of the perception of cultural affordances they propose.

The paper analyses restructuring processes occuring with the introduction of information technologies into firms in Austria and assesses how far the evidence lends support to the thesis of a fundamental change in rationalization patterns as postulated by continental industrial sociologists claiming the emergence of a novel type of ‘systemic rationalization’. Based on a research perspective putting emphasis on several levels of social mediation of technological change the broad conclusion is the following: there are clear indications of a novel ‘systemic’ (...) approach to rationalization but the associated forms of work organization show substantial variation. The analysis of the influence of national-level institutions, industry- and firm-specific conditions, and their role in micro-political processes of system and work design, points towards an underutilization of work humanization potentials and suggests an increase in skill supply as one of the possible intervention strategies. (shrink)

Identifying sporting talent remains a difficult task due to the complex nature of sport. Technical skill assessments are used throughout the talent pathway to monitor athletes in an attempt to more effectively predict future performance. These assessments however, largely focus on the isolated execution of key skills devoid of any game context. When assessments are representative of match-play and applied in a setting where all four components of competition (i.e., technical, tactical, physiological and psychological) are assessed within an integrated (...) approach, prediction of talent is more likely to be successful. This article explores the current talent identification technical skill assessments, with a particular focus on Australian Football, and proposes a 5-level performance assessment model for athlete assessment. The model separates technical game skill on a continuum from Level-1 (i.e., laboratory analysis) to Level-5 (i.e., match-play). These levels, using the assumptions of the expert performance model and representative learning design theory, incorporate a step-wise progression of performance demands to more closely represent match-play conditions. The proposed model will provide researchers and practitioners with a structured framework to consider when assessing, or developing, new assessments of technical game-based skill. (shrink)

Dementia, a prevalent disorder of the brain, has negative effects on individuals and society. This paper concerns using Spontaneous Speech Challenge of Interspeech 2020 to classify Alzheimer's dementia. We used VGGish, a deep, pretrained, Tensorflow model as an audio feature extractor, and Scikit-learn classifiers to detect signs of dementia in speech. Three classifiers were 59.1% accurate, which was 3% above the best-performing baseline models trained on the acoustic features used in the challenge. We also proposed DemCNN, a new PyTorch raw (...) waveform-based convolutional neural network model that was 63.6% accurate, 7% more accurate then the best-performing baseline linear discriminant analysis model. We discovered that audio transfer learning with a pretrained VGGish feature extractor performs better than the baseline approach using automatically extracted acoustic features. Our DepCNN exhibits good generalization capabilities. Both methods presented in this paper offer progress toward new, innovative, and more effective computer-based screening of dementia through spontaneous speech. (shrink)

"This book maps the moral terrain in the grounded reality of human experience without relying on theories or systems of ethics as the primary orienting strategy. Moral awareness needs first to be appreciated for what it is before it is made to conform to theories or systems. And moral consciousness is not a steady or stable set of perceptions; as we change so do the moral challenges that most concern us"--.

Since the 1970s, the application of microprocessor in industrial machinery and the development of computer systems have transformed the manufacturing landscape. The rapid integration and automation of production systems have outpaced the development of suitable human design criteria, creating a deepening gap between humans and systems in which human was seen as an important source of errors and disruptions. Today, the situation seems different: the scientific and public debate about the concept of Industry 4.0 has raised awareness about the (...) central role humans have to play in manufacturing systems, the design of which must be considered from the very beginning. The future of industrial systems, as represented by Industry 4.0, will rely on the convergence of several research fields such as Intelligent Manufacturing Systems (IMS), Cyber-Physical Systems (CPS), Internet of Things (IoT), but also socio-technical fields such as social approaches within technical systems. This article deals with different human social dimensions associated with CPS and IoT and focuses on their conceptual evolution regarding automated production systems’ sociability, notably by bringing humans back in the loop. Hereby, this paper aims to take stock of current research trends to show the importance of integrating human operators as a part of a socio-technical system based autonomous and intelligent products or resources. Consequently, different models of sociability as a way to integrate humans in the broad sense and/or the develop future automated production systems have been identified from the literature and analysed. (shrink)

Machine learning systems are making considerable inroads in society owing to their ability to recognize and predict patterns. However, the decision-making logic of some widely used machine learning models, such as deep neural networks, is characterized by opacity, thereby rendering them exceedingly difficult for humans to understand and explain and, as a result, potentially risky to use. Considering the importance of addressing this opacity, this paper calls for research that studies empirically and theoretically how machine learning experts and users seek (...) to attain machine learning explainability. Focusing on automated trading, we take steps in this direction by analyzing a trading firm’s quest for explaining its deep neural network system’s actionable predictions. We demonstrate that this explainability effort involves a particular form of human–machine interaction that contains both anthropomorphic and technomorphic elements. We discuss this attempt to attain machine learning explainability in light of reflections on cross-species companionship and consider it an example of human–machine companionship. (shrink)

Mindfulness for the High Performance World provides a unique approach to mindfulness training, built upon the principles of Buddhist philosophy written in line with the Dalai Lama’s description of meditation and mindfulness as “Science of the Mind”. This unique volume explores mindfulness as a learnable skill in context with the underpinnings of the teachings of Eastern psychology. The authors, Norm, a physician, cancer researcher and triathlete and Karolynn, a psychotherapist, mindfulness meditation teacher and marathoner, live and work in a (...) high-stress, high-expectation world. Their approach is rooted in an understanding that thoughts produce biochemical and physiological changes and provides a strategic framework to instruct an individual on how to categorize types of thoughts. After harnessing this ability, one is positioned to become both more aware of his or her thoughts as well as the specific patterns of sensations they produce, or Sentinel SitesSM. The awareness of what the mind is doing and the ability to interrupt a thought pattern and/or control the response almost instantly leads one to having a healthier life, improved relationships with others and better adaptability to one’s environment. Emphasizing the importance of physical activity and nutrition, the authors present a systematic approach for people who want to learn and incorporate mindfulness and transform how they live without having to divert their lives and careers. Offering itself as an accessible and skill-based introduction to the principles, practices, and benefits of mindfulness, Mindfulness for the High Performance World is a useful resource for students, athletes and professionals living and working in high-performance, high-stress environments and also for mindfulness practitioners seeking to deepen their skill level. (shrink)

In a previous study we examined reading, spelling, and maths skills in an unselected group of 129 Italian children attending fifth grade by testing various cognitive predictors; results showed a high degree of predictors’ selectivity for each of these three behaviors. In the present study, we focused on the specificity of the predictors by performing cross-analyses on the same dataset; i.e., we predicted spelling and maths skills based on reading predictors, reading based on maths predictors and so on. (...) Results indicated that some predictors, such as the Orthographic Decision and the Arithmetic Facts tests, predicted reading, spelling and maths skills in similar ways, while others predicted different behaviors but only for a specific parameter, such as fluency but not accuracy, and still others were specific for a single behavior. To interpret these results, we propose a novel model of learning skills separately considering factors in terms of competence, performance and acquisition. Reading, spelling and calculation skills would depend on the development of discrete and different abstract competences. By contrast, overlap among behaviors would be accounted for by defective acquisition in automatized responses to individual “instances”; this latter skill is item specific but domain independent. Finally, performance factors implied in task’s characteristics may contribute to the partial association among learning skills. It is proposed that this new model may provide a useful base for interpreting the diffuse presence of comorbidities among learning disorders. (shrink)

Important decisions that impact humans lives, livelihoods, and the natural environment are increasingly being automated. Delegating tasks to so-called automated decision-making systems can improve efficiency and enable new solutions. However, these benefits are coupled with ethical challenges. For example, ADMS may produce discriminatory outcomes, violate individual privacy, and undermine human self-determination. New governance mechanisms are thus needed that help organisations design and deploy ADMS in ways that are ethical, while enabling society to reap the full economic and social benefits of (...) automation. In this article, we consider the feasibility and efficacy of ethics-based auditing as a governance mechanism that allows organisations to validate claims made about their ADMS. Building on previous work, we define EBA as a structured process whereby an entity’s present or past behaviour is assessed for consistency with relevant principles or norms. We then offer three contributions to the existing literature. First, we provide a theoretical explanation of how EBA can contribute to good governance by promoting procedural regularity and transparency. Second, we propose seven criteria for how to design and implement EBA procedures successfully. Third, we identify and discuss the conceptual, technical, social, economic, organisational, and institutional constraints associated with EBA. We conclude that EBA should be considered an integral component of multifaced approaches to managing the ethical risks posed by ADMS. (shrink)

Automated Software Testing (AST) using Model Checking is in this article epistemologically analysed in order to argue in favour of a model-based reasoning paradigm in computer science. Preliminarily, it is shown how both deductive and inductive reasoning are insufficient to determine whether a given piece of software is correct with respect to specified behavioural properties. Models algorithmically checked in Model Checking to select executions to be observed in Software Testing are acknowledged as analogical models which establish isomorphic relations with (...) the target system’s data set. Analogical models developed in AST are presented as abductive models providing hypothetical explanations to observed executions. The model assumption—algorithmic check—software testing process is understood as the abduction—deduction—induction process defining the selective abduction and turned to isolate a set of model-based hypotheses concerning the target system behaviours. A manipulative abduction process is finally recognized in the practice of adapting, abstracting and refining models that do not provide successful predictions. (shrink)

Organisations increasingly use automated decision-making systems (ADMS) to inform decisions that affect humans and their environment. While the use of ADMS can improve the accuracy and efficiency of decision-making processes, it is also coupled with ethical challenges. Unfortunately, the governance mechanisms currently used to oversee human decision-making often fail when applied to ADMS. In previous work, we proposed that ethics-based auditing (EBA)—that is, a structured process by which ADMS are assessed for consistency with relevant principles or norms—can (a) help (...) organisations verify claims about their ADMS and (b) provide decision-subjects with justifications for the outputs produced by ADMS. In this article, we outline the conditions under which EBA procedures can be feasible and effective in practice. First, we argue that EBA is best understood as a ‘soft’ yet ‘formal’ governance mechanism. This implies that the main responsibility of auditors should be to spark ethical deliberation at key intervention points throughout the software development process and ensure that there is sufficient documentation to respond to potential inquiries. Second, we frame AMDS as parts of larger sociotechnical systems to demonstrate that to be feasible and effective, EBA procedures must link to intervention points that span all levels of organisational governance and all phases of the software lifecycle. The main function of EBA should, therefore, be to inform, formalise, assess, and interlink existing governance structures. Finally, we discuss the policy implications of our findings. To support the emergence of feasible and effective EBA procedures, policymakers and regulators could provide standardised reporting formats, facilitate knowledge exchange, provide guidance on how to resolve normative tensions, and create an independent body to oversee EBA of ADMS. (shrink)

Rapid advances in AI-based automation have led to a number of existential and economic concerns. In particular, as automating technologies develop enhanced competency they seem to threaten the values associated with meaningful work. In this article, we focus on one such value: the value of achievement. We argue that achievement is a key part of what makes work meaningful and that advances in AI and automation give rise to a number achievement gaps in the workplace. This could (...) limit people’s ability to participate in meaningful forms of work. Achievement gaps are interesting, in part, because they are the inverse of the (negative) responsibility gaps already widely discussed in the literature on AI ethics. Having described and explained the problem of achievement gaps, the article concludes by identifying four possible policy responses to the problem. (shrink)

We present a comprehension‐based computational model of UNIX user skill acquisition and performance in a training context (UNICOM). The work extends a comprehension‐based theory of planning to account for skill acquisition and learning. Individual models of 22 UNIX users were constructed and used to simulate user performance on successive command production problems in a training context. Comparisons of model and the human empirical data result in a high degree of agreement, validating the ability of UNICOM to (...) predict user response to training. (shrink)

Logic-based approaches to legal problem solving model the rule-governed nature of legal argumentation, justification, and other legal discourse but suffer from two key obstacles: the absence of efficient, scalable techniques for creating authoritative representations of legal texts as logical expressions; and the difficulty of evaluating legal terms and concepts in terms of the language of ordinary discourse. Data-centric techniques can be used to finesse the challenges of formalizing legal rules and matching legal predicates with the language of ordinary parlance (...) by exploiting knowledge latent in legal corpora. However, these techniques typically are opaque and unable to support the rule-governed discourse needed for persuasive argumentation and justification. This paper distinguishes representative legal tasks to which each approach appears to be particularly well suited and proposes a hybrid model that exploits the complementarity of each. (shrink)

The growing uses of algorithm-based decision-making in human resources management have drawn considerable attention from different stakeholders. While prior literature mainly focused on stakeholders directly related to HR decisions (e.g., employees), this paper pertained to a third-party observer perspective and investigated how consumers would respond to companies’ adoption of algorithm-based HR decision-making. Through five experimental studies, we showed that the adoption of algorithm-based (vs. human-based) HR decision-making could induce consumers’ unfavorable ethicality inferences of the company (study (...) 1); because implementing a calculative and data-driven approach (i.e. algorithm-based) to make employee-related decisions violates the deontological principles of respectful employee treatment (study 2). However, this effect was attenuated when consumers had high (vs. low) power distance beliefs (study 3); the algorithm served as assistance (vs. replacement) for human decisions (study 4); or the adoption was framed as employee-oriented (vs. company-oriented) motivated (study 5). Our findings suggested that consumers are aversive to algorithm-based HR decision-making because it is deontologically problematic regardless of its decision quality (i.e. accuracy). This paper contributes to the extant understanding of stakeholders’ responses to algorithm-based HR decision-making and consumers’ attitudes toward algorithm users. (shrink)

This article evaluated the effects of an interpersonal skills program based on artistic expressions to reduce intimate partner violence in college students. The research was of explanatory type, quasi-experimental design and used the Dating Abuse questionnaire (adapted by Osorio, 2014), the Interpersonal Skills questionnaire with reliability of 0.81 having as results in the entry test in terms of violence a mean of 88. 16 and after the program was applied it decreased to 81.2, in interpersonal skills the mean of (...) 46.6 increased to 53.3 with large effect size according to Cohen's d 7.889 CI95% (6.246-9.532), statistically significant differences were found in terms of violence. (shrink)

The last 20 years have seen the development of a new form of therapy, compassion focused therapy. Although CFT has a growing evidence base, there have been few studies of CFT outside of an Anglo-European cultural context. In this paper, we ask: Might a CFT-based approach be of value for Indigenous Australians? If so, what kind of cultural adaptations might be needed? We report the findings from a pilot study of an arts-based compassion skills training group, in which (...) usual CFT group processes were significantly adapted to meet the needs of Indigenous Australians. At face value, CFT appeared to be a promising approach to enhancing the social and emotional wellbeing of Australia’s Indigenous peoples. However, despite initial consultations with Indigenous health professionals, the first attempts to offer a more conventional group-based CFT to Indigenous clients were largely unsuccessful. Following a review and advice from two Indigenous clients, we combined elements of CFT with visual arts to develop a new approach, “arts-based compassion skills training”. This paper reports an evaluation of this pilot ABCST group. The group had 6 × 4 h sessions of ABCST, facilitated by two psychologists and two artists. There were 10 participants, who attended between 2 and 6 sessions: five were clients, five were health professionals. Between 1 and 3 months later, six of the participants were interviewed. Qualitative analysis of interview data identified that two key processes—creating a positive group atmosphere and channeling compassion skills training through the medium of visual arts—led to four positive outcomes for participants: planting the seeds of new understandings, embodying the skills of compassion, strengthening relationships with others, and evolving a more self-compassionate relationship. We suggest that the preliminary results are sufficiently encouraging to warrant further development of ABCST in Indigenous communities. (shrink)

Inspired by the thinking of authors such as Andrew Feenberg, Tim Ingold and Richard Sennett, this article sets forth substantial criticism of the ‘social uprooting of technology’ paradigm, which deterministically considers modern technology an autonomous entity, independent and indifferent to the social world (practices, skills, experiences, cultures, etc.). In particular, the authors’ focus on demonstrating that the philosophy,methodology and experience linked to open source technological development represent an emblematic case of re-encapsulation of the technical code within social relations (reskilling practices). (...) Open source is discussed as a practice, albeit not unique, of community empowerment aimed at the participated and shared rehabilitation of technological production ex-ante. Furthermore, the article discusses the application of open source processes in the agro-biotechnological field, showing how they may support a more democratic endogenous development, capable of binding technological innovation to the objectives of social (reducing inequalities) and environmental sustainability to a greater degree. (shrink)

The race among global firms to launch its respective products and services into the market sooner than the competitors puts pressure to equip its employees with job-related skills at the pace of business. Today’s global and dynamic business requires employees to develop highly complex cognitive skills such as decision-making, problem-solving, troubleshooting to perform their jobs proficiently. Traditional training models used by some organizations lead to a very slow speed at which employees gain an acceptable level of proficiency in the targeted (...) job skills. Also, these models have long and regimented instructional development cycle. Thus, traditional models are inherently counter-productive to the business and do not enable employees and organizations for today’s business needs. Therefore, business organizations need to explore new training models and strategies that could reduce the time an employee takes to reach target proficiency in complex skills without compromising the effectiveness or outcome. A comprehensive review of the literature shows a very limited amount of academic or practitioner research on this topic. This doctorate research study aims to find various training strategies that have proven successful in organizations for accelerating proficiency of employees in complex job skills. The researcher collected data primarily through 74 in-depth interviews with 86 training experts with known work experience of reducing time-to-proficiency in various settings. A total of 105 project cases have been collected across 42 industries to date. A grounded theory approach with constant comparison method is used to guide the theoretical saturation, analyze the data and to develop a theoretical model of training strategies. This unique study revealed a range of training strategies from non-training solutions to classroom instructions to workplace training to accelerate proficiency of employees in acquiring complex skills. This paper will specifically report the preliminary findings and conceptual model of major classroom-based instructional strategies only that has been found to hold the potential to shorten time-to-proficiency of employees at the workplace. This paper will also discuss the implications of the findings for the practitioners. Results in this study confirmed that classroom-based instructional strategies need to be designed and delivered the way the work is being performed in reality by the learners. Research findings suggest a pattern of five classroom-based instructional strategies that are more successful in reducing time-to-proficiency - 1) Contextualized learning 2) Performance analysis of star performer 3) Active processing and emotional involvement 4) Access to self-guided learning resources 5) Social interconnectivity and informal learning. (shrink)

This article draws upon issues within the debate on evidence-based policy raised in the academic literature and in recent government documentation. The article assesses the extent to and ways in which policy development and implementation on adult basic skills (literacy and numeracy) within the National Probation Service (NPS) are evidencebased. It is argued that the albeit limited amount of empirical evidence on adult basic skills, methodological insights gained through empirical research, and expert opinion have shaped the NPS basic skills (...) strategy. To enhance policy implementation, findings from the NPS pathfinder evaluation have been disseminated to practitioners. It is aimed to build research evidence on basic skills in the NPS in a cumulative way and to use findings to shape policy development on an ongoing basis. The lack of a systematic review on adult basic skills is used to explore reasons for gaps in evidence-based policy on basic skills in the NPS. The article concludes that a range of types of evidence has shaped policy development on basic skills in the NPS. (shrink)

Traditional models of skill learning posit that skilled action unfolds in an automatic manner and that control will prove deleterious to movement and performance proficiency. These perspectives assume that automated processes are characterised by low levels of control and vice versa. By contrast, a number of authors have recently put forward hybrid theories of skilled action which have sought to capture the close integration between fine-grained automatic motor routines and intentional states. Drawing heavily on the work of Bebko et (...) al. and Christensen et al., we argue that controlled and automated processes must operate in parallel if skilled performers are to address the wide range of challenges that they are faced with in training and competition. More specifically, we show how skilled performers use controlled processes to update and improve motor execution in training contexts and to stabilise performance under pressurised conditions. (shrink)

DNA‐based typing methods are increasingly important for the characterisation of bacteria. They are used to monitor the epidemiology of pathogens with public health significance and also to help understand the evolution and population biology of bacteria. However, these methods require accuracy and reproducibility and are often of a high‐throughput nature. Laboratory automation is therefore the key to the successful implementation of such methods. This review describes the impact of automation on DNA‐based typing methods, particularly multi‐locus sequence (...) typing (MLST), and the method components that can be automated. BioEssays 24:858–862, 2002. © 2002 Wiley Periodicals, Inc. (shrink)

The automated valuation of benchmark land price plays an essential role in regulating land demand in Chinese real-estate market as the big data are currently accumulated rapidly. However, this problem becomes highly challenging due to the multidimension, large volume, and nonlinearity of the land price-influencing factors. In this paper, an effective data-driven automated valuation framework is proposed for valuing real estate assets by combining a GIS and neural network technologies. This framework can automatically obtain the values of spatial factors affecting (...) land price from GIS and generate training set data for training the neural network to identify the complex relationship between all kinds of factors and benchmark land prices. The effectiveness and universality of the framework is verified via the data of benchmark land prices in Wuhan. The framework can be applied for automated benchmark land price valuation in other cities. (shrink)

Clinical simulation is used in nursing education and in other health professional programs to prepare students for future clinical practice. Simulation can be used to teach students communication skills and how to deliver bad news to patients and families. However, skilled communication in clinical practice requires students to move beyond simply learning superficial communication techniques and behaviors. This article presents an unexplored concept in the simulation literature: the exercise of moral imagination by the health professional student. Drawing from the works (...) of Hume, Aristotle and Gadamer, a conceptualization of moral imagination is first provided. Next, this article argues that students must exercise moral imagination on two levels: towards the direct communication exchange before them; and to the representative nature of simulation encounters. Last, the limits of moral imagination in simulation-based education are discussed. (shrink)

A recent wave of academic and popular publications say that utopia is within reach: Automation will progress to such an extent and include so many high-skill tasks that much human work will soon become superfluous. The gains from this highly automated economy, authors suggest, could be used to fund a universal basic income (UBI). Today's employees would live off the robots' products and spend their days on intrinsically valuable pursuits. I argue that this prediction is unlikely to come (...) true. Historical precedent speaks against it, but the main problem is that the prediction fundamentally misunderstands how capitalism works—its incentives to increase or decrease production, its principles of income allocation, and the underlying conception of merit. (shrink)