In order to solve the problem of unsmooth and inefficient human-computer interaction process in the information age, a method for human-computer interaction intention prediction based on electroencephalograph signals and eye movement signals is proposed. This approach is different from previous methods where researchers predict using data from human-computer interaction and a single physiological signal. This method uses the eye movements and EEG signals that clearly characterized the interaction intention as the prediction basis. In addition, this approach is not only tested (...) with multiple human-computer interaction intentions, but also takes into account the operator in different cognitive states. The experimental results show that this method has some advantages over the methods proposed by other researchers. In Experiment 1, using the eye movement signal fixation point abscissa Position X, fixation point ordinate Position Y, and saccade amplitude to judge the interaction intention, the accuracy reached 92%, In experiment 2, only relying on the pupil diameter, pupil size and fixed time, fixed time of eye movement signals can not achieve higher accuracy of the operator’s cognitive state, so EEG signals are added. The cognitive state was identified separately by combining the screened EEG parameters Rα/β with the eye movement signal pupil diameter and fixation time, with an accuracy of 91.67%. The experimental combination of eye movement and EEG signal features can be used to predict the operator’s interaction intention and cognitive state. (shrink)

Before she became a Buddhist nun in the tradition of Thich Nhat Hanh, Sister Dang Nghiem was a doctor. Born during the Tet Offensive and part of the amnesty for Amerasian children of the late 1970s, Dang Nghiem arrived in this country virtually penniless and with no home. She lived with three foster families, graduated high school with honors, earned two undergraduate degrees, and became a doctor. When the man she thought she'd spend her life with suddenly drowned, (...) Sister Dang Nghiem left medicine and joined the monastic community of Thich Nhat Hanh. It is from this vantage point that Dang Nghiem writes about her journey of healing. Devastated by the diagnosis and symptoms of Lyme Disease, she realized that she was also reliving many of the unresolved traumas from earlier in her life. She applied both her medical knowledge and her advanced understanding and practice of mindfulness to healing. Through meditation she finally came to understand what it means to "master" suffering. In Mindfulness as Medicine Sister Dang Nghiem leads readers through her profound journey of healing and shares step-by-step directions for the techniques she used to transform her suffering. (shrink)

We argue that the main results of scientific papers may appropriately be published even if they are false, unjustified, and not believed to be true or justified by their author. To defend this claim we draw upon the literature studying the norms of assertion, and consider how they would apply if one attempted to hold claims made in scientific papers to their strictures, as assertions and discovery claims in scientific papers seem naturally analogous. We first use a case study of (...) William H. Bragg’s early 20th century work in physics to demonstrate that successful science has in fact violated these norms. We then argue that features of the social epistemic arrangement of science which are necessary for its long run success require that we do not hold claims of scientific results to their standards. We end by making a suggestion about the norms that it would be appropriate to hold scientific claims to, along with an explanation of why the social epistemology of science—considered as an instance of collective inquiry—would require such apparently lax norms for claims to be put forward. (shrink)

The resource-based model of self-regulation provides a pessimistic view of self-regulation that people are destined to lose their self-control after having engaged in any act of self-regulation because these acts deplete the limited resource that people need for successful self-regulation. The cognitive control theory, however, offers an alternative explanation and suggests that the depletion effect reflects switch costs between different cognitive control processes recruited to deal with demanding tasks. This account implies that the depletion effect will not occur once people (...) have had the opportunity to adapt to the self-regulatory task initially engaged in. Consistent with this idea, the present study showed that engaging in a demanding task led to performance deficits on a subsequent self-regulatory task only when the initial demanding task was relatively short but not when it was long enough for participants to adapt. Our results were unrelated to self-efficacy, mood, and motivation. (shrink)

Data‐driven algorithms are widely used to make or assist decisions in sensitive domains, including healthcare, social services, education, hiring, and criminal justice. In various cases, such algorithms have preserved or even exacerbated biases against vulnerable communities, sparking a vibrant field of research focused on so‐called algorithmic biases. This research includes work on identification, diagnosis, and response to biases in algorithm‐based decision‐making. This paper aims to facilitate the application of philosophical analysis to these contested issues by providing an overview of three (...) key topics: What is algorithmic bias? Why and how can it occur? What can and should be done about it? Throughout, we highlight connections—both actual and potential—with philosophical ideas and concerns. (shrink)

Previous simulation models have found positive effects of cognitive diversity on group performance, but have not explored effects of diversity in demographics (e.g., gender, ethnicity). In this paper, we present an agent-based model that captures two empirically supported hypotheses about how demographic diversity can improve group performance. The results of our simulations suggest that, even when social identities are not associated with distinctive task-related cognitive resources, demographic diversity can, in certain circumstances, benefit collective performance by counteracting two types of conformity (...) that can arise in homogeneous groups: those relating to group-based trust and those connected to normative expectations towards in-groups. (shrink)

This paper examines two prominent formal trade-offs in artificial intelligence (AI)---between predictive accuracy and fairness, and between predictive accuracy and interpretability. These trade-offs have become a central focus in normative and regulatory discussions as policymakers seek to understand the value tensions that can arise in the social adoption of AI tools. The prevailing interpretation views these formal trade-offs as directly corresponding to tensions between underlying social values, implying unavoidable conflicts between those social objectives. In this paper, I challenge that prevalent (...) interpretation by introducing a sociotechnical approach to examining the value implications of trade-offs. After providing a set-theoretic understanding of these model trade-offs, I argue that their implications cannot be understood in isolation from the technical, psychological, organizational, and social factors that shape the integration of AI models into decision-making pipelines. Specifically, I identify three key considerations---validity and instrumental relevance, compositionality, and dynamics---for contextualizing and characterizing these implications. These considerations reveal that the relationship between model trade-offs and corresponding values depends on critical choices and assumptions. Crucially, judicious sacrifices in one model property for another can, in fact, promote both sets of corresponding values. The proposed sociotechnical perspective thus shows that we can and should aspire to higher epistemic and ethical possibilities than the prevalent interpretation suggests, while offering practical guidance for achieving those outcomes. Finally, I draw out the broader implications of this perspective for AI design and governance, highlighting the need to broaden normative engagement across the AI lifecycle, develop legal and auditing tools sensitive to sociotechnical considerations, and rethink the vital role and appropriate structure of interdisciplinary collaboration in fostering a responsible AI workforce. (shrink)

Machine learning algorithms are increasingly used to shape high-stake allocations, sparking research efforts to orient algorithm design towards ideals of justice and fairness. In this research on algorithmic fairness, normative theorizing has primarily focused on identification of “ideally fair” target states. In this paper, we argue that this preoccupation with target states in abstraction from the situated dynamics of deployment is misguided. We propose a framework that takes dynamic trajectories as direct objects of moral appraisal, highlighting three respects in which (...) such trajectories can be subject to evaluation in relation to their temporal dynamics, robustness, and representation. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Judith Butler’s “New Humanism”A Thing or Not a Thing, and So What?Sina KramerA few thinkers in the last few years, such as Stefan Dolgert and Miriam Leonard, but especially political theorist Bonnie Honig, have argued that Judith Butler’s most recent work (Antigone’s Claim, 2000; Undoing Gender, 2004; Precarious Life, 2005; Frames of War, 2009) institutes a new form of humanism, based on the universality of grief, mourning, vulnerability, (...) and precariousness that Butler describes in these texts. These critiques call into question an incipient foundationalism in the feminist political theory Butler produces in these texts, one seemingly at odds with her previous antifoundationalist commitments. In this article I will argue that, while these critiques oversimplify the relationship between politics and ethics or politics and ontology in their critique of Butler’s new mortalist humanism, the problem of the relation of politics to ethics or ontology—or, more exactly, the problem of the relation of politics to its outside, or to its conditions—remains nevertheless a real problem in Butler’s work. This is because, without a clear account of a method of rendering foundations contingent, or of rendering ontologies provisional, we tend to repeat the political move to establish an apolitical ground on which we can found a politic. This foundationalist move thus shields that ground from political critique and transformation—a move that Butler herself has done so much work to expose and displace.In this article, I ask whether feminist theory must repeat a recourse to foundations by examining the charge that Butler does so her in most recent work. The article will proceed as follows: in the first section, I examine the [End Page 25] charge that Butler is instituting a new humanism. In the second section, I look at some of Butler’s discussion of humanism, and look more closely at the relation between ethics and politics the question of humanism opens up in her work. In the third, I explore whether or not the charge that Butler is instituting a new humanism is correct. And in the fourth, I question what is at stake in this charge. Essentially, the article asks of this new humanist charge: Is this a thing or not a thing, and so what? I argue that, while the charge is somewhat overdetermined, it does point to a larger problem in Butler’s work, and that is the recourse to foundations, or to gesturing to an outside of or beyond of politics as the condition for altering political conditions. I will conclude by arguing that a greater attention to method can help to avoid the reification of the distinction between politics and its conditions that leads to the recourse of foundations.Butler’s New Mortalist HumanismIn her 2010 article “Antigone’s Two Laws: Tragedy and the Politics of Humanism”—as well as in her 2013 book Antigone, Interrupted—Bonnie Honig argues that Butler’s ethical turn institutes a new mortalist humanism, predicated on the “ontological fact of mortality, not the capacity to reason but the vulnerability to suffering” (Honig 2010, 1). She differentiates this new mortalist humanism, which she also diagnoses in the work of Nicole Loraux and Stephen White, from earlier rationalist forms of humanism that are based on the universal principle of human rationality, and from forms of antihumanism based on the “signs of a monstrous, dehumanizing animality” (Honig 2010, 3). Either form is problematic, Honig argues, insofar as they both seek to settle essentially political questions by recourse to a position beyond politics: through a stable and recognizably human figure who either secures its belonging to the polity by means of its rationality, or an exclusion rendered through the dehumanization of otherwise ostensibly human figures.This new mortalist humanism Honig diagnoses in Butler’s recent work falls into the same problem: in this version, Butler settles political questions by recourse to a principle of mortality, or the universal experience of mourning. This would seem to be contrary to Butler’s earlier commitments to a radical critique of foundationalism, especially in her famous critique of the naturalization of sex as the grounds for a political understanding of gender. This is... (shrink)

How do social factors affect group learning in diverse populations? Evidence from cognitive science gives us some insight into this question, but is generally limited to showing how social factors play out in small groups over short time periods. To study larger groups and longer time periods, we argue that we can combine evidence about social factors from cognitive science with agent-based models of group learning. In this vein, we demonstrate the usefulness of idealized models of inquiry, in which the (...) assumption of Bayesian agents is used to isolate and explore the impact of social factors. We show that whether a certain social factor is beneficial to the community’s epistemic aims depends on its particular manifestation by focusing on the impacts of homophily – the tendency of individuals to associate with similar others – on group inquiry. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Taoism, Teaching, and Learning: A Nature-Based Approach to Education by John P. Miller, with Xiang Li and Tian RuanJing Dang (bio)Taoism, Teaching, and Learning: A Nature-Based Approach to Education. By John P. Miller, with Xiang Li and Tian Ruan. Toronto: University of Toronto Press, 2022. Pp. 134, Paperback $29.95, ISBN 978-1-4875-4095-1.John Miller’s Taoism, Teaching, and Learning: A Nature-Based Approach to Education (hereafter Taoism, Teaching, and Learning) develops (...) a nature-based account of modern education grounded in Daoism (or Taoism), a school of thought often misunderstood in the West. Daoism has historically been categorized both as a religion (dao jiao 道教) and as a philosophy (dao jia zhe xue 道家哲學); in many cases the spiritual and mystical side of Daoism impresses itself on the reader at the expense of its scientific and philosophical side--as happened with the European missionaries who first exported Daoism to the West. Yet Daoism, especially in relation to pedagogy, cuts across this philosophical/mystical distinction. Happily, Miller and his students, Xiang Li and Tian Ruan, betray no such tendency to pigeon-hole Daoism into one or the other of these categories. The authors adopt a connected and holistic concept of Daoism, which they use to inform and justify their approach to modern education. As such, in the eight chapters of this book, we can see a natural and sensible connection between a holistic Daoism--spiritual, mystical and philosophical--and modern philosophical and educational theories, including Montessori’s cosmic education, Steiner Education, holistic education, and the pedagogical practices of meditation and mindfulness.Miller’s modus operandi is to apply Daoist concepts to contemporary (especially Western) educational issues, both theoretically and practically. In terms of the Daoist belief in the interconnectedness of all things, Miller questions modern subject divisions. When we divide education into geometry, mathematics and so on, we fragment the natural oneness of knowledge and reality as the Daoists would have it. Instead, Miller advocates faith in nature and looks to curricula that reflect the wholeness of nature, such as “cosmic education” and “holistic education” (Chapters 2 and 6). Through such education “we see the relationship between the physical, intellectual, emotional, and spiritual dimensions of life” (p. 27), and feel the support from the invisible and unproven world.Miller makes excellent use of the Daoist concepts of yin (陰) and yang [End Page 1] (陽), which signify the complementary balance and interplay between opposites. He uses the yinyang paradigm to explore the need for balance in a wide range of interesting and important pedagogical situations; for instance, group collaboration versus individual competition, knowledge versus imagination, intuition versus reason, qualitative versus quantitative, etc. (Chapter 5). He also implements yinyang to unpack the model of creative thinking laid down by Graham Wallace (pp. 66 -70); here, yin and yang are applied to a process within the individual. As we move from confusion to enlightenment, we enact within ourselves a dance between our yin and yang factors.Under the heading “Self-Cultivation” (Chapter 3), Miller attempts to evaluate a number of pedagogical strategies with broad ties to Daoism; namely, “silence,” “contemplation,” “calmness,” “sincerity,” “non-violence and embracing the feminine,” and “humility”. These are informed by Miller’s own personal experience of teaching and applying meditation at the University of Toronto. This provides a useful connection between the spiritual and philosophical dao 道, the mystical and the practical. More generally, these strategies recall Daoist wuwei 無爲 (non-coercive or spontaneous action) and ziran 自然 (spontaneity), which Miller subsequently applies to teaching and mindfulness in Chapter 4 (more on which below).Whereas Miller’s contribution is more theoretical, the two chapters written by his students showcase concrete examples of Daoist pedagogy in the classroom. Li’s chapter (Chapter 1) details a class of high school students learning from nature. Here we find a student club centered around a garden, where the students are allowed to wander in the direction of their interests, rather than imbibing the lessons of the teacher according to a top-down lesson plan. Ruan’s chapter (Chapter 7) looks to the various ways play can be utilized in kindergartens for children’s holistic development, including their social, intellectual, spiritual, physical... (shrink)

I argue that collaborators do not need to reach broad agreement over the justification of a consensus claim. This is because maintaining a diversity of justifiers within a scientific collaboration has important epistemic value. I develop a view of collective justification that depends on the diversity of epistemic perspectives present in a group. I argue that a group can be collectively justified in asserting that P as long as the disagreement among collaborators over the reasons for P is itself justified. (...) In conclusion, I make a case for multimethod collaborative research and work through an example in the social sciences. (shrink)

Dream is a state of consciousness characterized by internally-generated sensory, cognitive and emotional experiences occurring during sleep. Dream reports tend to be particularly abundant, with complex, emotional, and perceptually vivid experiences after awakenings from rapid eye movement sleep. This is why our current knowledge of the cerebral correlates of dreaming, mainly derives from studies of REM sleep. Neuroimaging results show that REM sleep is characterized by a specific pattern of regional brain activity. We demonstrate that this heterogeneous distribution of brain (...) activity during sleep explains many typical features in dreams. Reciprocally, specific dream characteristics suggest the activation of selective brain regions during sleep. Such an integration of neuroimaging data of human sleep, mental imagery, and the content of dreams is critical for current models of dreaming; it also provides neurobiological support for an implication of sleep and dreaming in some important functions such as emotional regulation. (shrink)

As artificial intelligence (AI) systems increasingly permeate processes of cultural and epistemic production, there are growing concerns about how their outputs may confine individuals and groups to static or restricted narratives about who or what they could be. In this paper, we advance the discourse surrounding these concerns by making three contributions. First, we introduce the concept of aspirational affordance to describe how technologies of representation---paintings, literature, photographs, films, or video games---shape the exercising of imagination, particularly as it pertains to (...) possibilities for agency. Second, we provide three reasons for scrutinizing of AI's influence on aspirational affordances: AI's influence is potentially more potent, but less public than traditional sources; AI's influence is not simply incremental, but ecological, transforming the entire landscape of cultural and epistemic practices that traditionally shaped aspirational affordances; and AI's influence is highly concentrated, with a few corporate-controlled systems mediating a growing portion of aspirational possibilities. Third, to advance such a scrutiny of AI's influence, we introduce the concept of aspirational harm, which arises when AI-generated affordances distort or diminish a group's hermeneutical resources for imagining their practical possibilities. Through three case studies, we illustrate how aspirational harms extend the existing discourse on AI-inflicted harms beyond representational and allocative harms, warranting separate attention. Through these conceptual resources and analyses, this paper advances understanding of the psychological and societal stakes of AI’s role in shaping individual and collective aspirations. (shrink)

Though there are many factors that contribute to the perceived legitimacy of business ethics education, this research focuses on one factor that is given great attention both formally and informally in many business schools: student satisfaction with the course. To understand the nature of student satisfaction, the authors draw from multiple theories with central claims relating expectations with satisfaction. The authors then compare student expectations of business ethics courses with instructor objectives and discover that business ethics courses are not necessarily (...) designed to meet student expectations. The authors speculate that this general mismatch between student expectations and instructor objectives has material consequences. As one example, the authors analyze student evaluations from three business schools and identify a “business ethics course effect”: a negative association between business ethics courses and student evaluations. The authors discuss the implications for business ethics education of a situation where pedagogical objectives and market prescriptions point in different directions. (shrink)

Diffusions in Architecture: Artificial Intelligence and Image Generators delves into the impact of Diffusion AI algorithms and generative image models on architecture design and aesthetics. The book presents an in-depth analysis of how these new technologies are revolutionizing the field of architecture. The architects presented in the book focus on the application of specific AI techniques and tools used in generative design, such as Diffusion models, Dall-E2, Stable Diffusion, and MidJourney. It discusses how these techniques can generate synthetic images that (...) are both realistic and imaginative, creating new possibilities for architectural design and aesthetics. This comprehensive overview of the impact of Diffusion AI algorithms and generative image models on the field of architecture shows how they are changing the way architects approach their work. With a foreword by Lev Manovich—artist, writer and one of the world's most influential digital culture theorists. Sharing the work and insights of a team of designers and theorists from a range of backgrounds, offering disciplinary depth, and covering the full impact of these tools and models on architecture, Diffusions in Architecture includes information on: Fresh perspectives on design and aesthetics, with designs, images, and commentary from 22 leading architects, theorists, and designersThe potential of prompt engineering and text-to-image models applicable to a broad interdisciplinary audienceWhether image generators, or AI in general, will be an aid for human design, or potentially displace humans from the market fundamentals of a larger debate in the architectural discourse (and practice) on the use of image generatorsCollecting the different ideas that have emerged in the field, Diffusions in Architecture provides architects, designers, concept artists, and theorists with an overview of this cornucopia of architectural imaginations produced in a common effort between humans and artificial intelligence. (shrink)

The research discussed in this paper centers around the convergence of extended reality (XR) platforms, computational design, digital fabrication, and critical urban study practices. Its aim is to cultivate interdisciplinary and multiscalar approaches within these domains. The research endeavor represents a collaborative effort between two primary disciplines: critical urban studies, which prioritize socio-environmental justice, and integrated digital design to production, which emphasize the realization of volumetric or voxel-based structural systems. Moreover, the exploration encompasses augmented reality to assess its utilization in (...) both the assembly process of the structures and the integration of phygital (physical and digital) data with the physical environment. Within the context of these research scopes, this paper introduces FabriCity-XR as an interactive phygital installation. In addition to presenting an overview of the integrated research driven and performative design to production methodologies, the project showcases the practical implementation of web-based augmented reality trails, eliminating the requirement for external applications for interaction. This approach allows users to seamlessly navigate and engage with phygital content overlaid on physical objects using their personal smart devices. The result is a captivating and immersive user experience that effectively merges the physical and digital realms. (shrink)

Materialization practices in the architecture and building industry have evolved with the advancement of manufacturing and information technologies. This evolution is evident across various design and production phases, with a pronounced impact on prototyping. Advances in design and fabrication tools have empowered prototypes, integral in any production cycle, to furnish a growing array of information and feedback for designers and manufacturers. In this context, prototypes have transformed from merely showcasing data-driven building solutions to presenting socio-environmentally conscious systems. Innovation in prototyping (...) connects the initial design and construction stages to the operational phase, creating a seamless transition throughout the project lifecycle. This chapter provides a range of definitions and prototypical case studies for smart prototyping by identifying practiced approaches in integrated design to production workflows. This chapter introduces three paradigms for smart prototyping: Digital prototyping focuses on data-driven design for mass customization, phygital prototyping involves mixed-reality-enabled design and assembly, and thirdly collaborative prototyping explores human-machine hybrid intelligence and co-production in architectural and urban contexts. The chosen case studies in this chapter and how they are categorized aim to provide a comprehensive overview of smart prototyping, covering projects conducted in both research and practice. This chapter concludes with potential future trends and the role of emerging and evolving mediums of prototyping for smart design and construction. (shrink)

Informal caregivers provide care to their family or friends in case of an illness, disability, or frailty. The caregiving situation of informal caregivers may vary based on the relationship they have with the care recipient, e.g., being a spouse or being an adult child. It might be that these different ICGs also have different needs. This study aims to explore and compare the needs of different groups of ICGs based on the relationship they have with their CR. We conducted a (...) systematic review, performing a search in the databases PubMed, CINAHL, and PsycINFO. We included studies with qualitative, quantitative, or mixed-method study designs. We analyzed the data using the thematic analysis method. We included 22 articles. The included articles reported the needs of ICGs taking care of a spouse, parent, or sibling aged 18 years or above. We did not include other relationships due to the limited number of articles on these relationships. The most prominent needs reported by the spousal, adult child, and adult sibling ICGs were the need for information and need for support. The three groups differed in their needs as well. Adult child and adult sibling ICGs indicated a need to be acknowledged by the people around them for their role of carer, while they also needed to be seen as an individual having their own personal needs. Moreover, spousal ICGs indicated a unique need of redefining their role and relationship with their CR. Overall, the findings indicate that along with experiencing common needs, the investigated groups have unique needs as well. Knowing the needs of different groups of ICGs can help develop tailored solutions to improve the quality of life of the ICGs and their CR.Systematic Review Registration: [www.crd.york.ac.uk/prospero/], identifier [CRD42020188560]. (shrink)

Ever since Aristotle proposed the definition of truth, people have not stopped discerning the concept of truth. Different from the traditional correspondence theory of truth, the modern understanding of the concept of truth emphasizes the role of justification. In the context of pragmatism, Bernstein agrees with the role of justification in understanding truth and appreciates Rorty’s cautionary usage of truth to advance the work of understanding truth, but at the same time, proposes that the concept of truth contains the dimension (...) of normative power, and it is this dimension that allows truth to avoid both metaphysical accusations and relativist reproaches while retaining the positive meaning of justification. From the correspondence theory of truth to the regulative ideal, to the cautionary usage, and finally, to the normative power, people continue to deepen their understanding of the concept of truth by means of criticism of criticism. (shrink)

In the hopes of finding supporting evidence for various accounts of actual causation, many philosophers have recently turned to psychological findings about the influence of norms on counterfactual cognition. Surprisingly little philosophical attention has been paid, however, to the question of why considerations of normality should be relevant to counterfactual cognition to begin with. In this paper, I follow two aims. First, against the methodology of two prominent psychological accounts, I argue for a functional approach to understanding the selectivity of (...) counterfactual cognition. Second, I take some steps towards a systematic analysis by providing a qualitative, decision‐theoretic account of one important function of counterfactual thinking, namely, inferring, in the face of undesirable outcomes, corrective policies that prevent the occurrence of similar outcomes in future circumstances. I make a case for employing this analysis by (a) showing its value for assessing the rationality of imagination‐driven counterfactual generation, (b) highlighting its use for making sense of practices in history and policy analysis where counterfactual selection plays a central role, and (c) demonstrating its diagnostic value for identifying areas where counterfactual generation may lead us into epistemic and ethical troubles. (shrink)

This paper examines two prominent formal trade-offs in artificial intelligence (AI)---between predictive accuracy and fairness, and between predictive accuracy and interpretability. These trade-offs have become a central focus in normative and regulatory discussions as policymakers seek to understand the value tensions that can arise in the social adoption of AI tools. The prevailing interpretation views these formal trade-offs as directly corresponding to tensions between underlying social values, implying unavoidable conflicts between those social objectives. In this paper, I challenge that prevalent (...) interpretation by introducing a sociotechnical approach to examining the value implications of trade-offs. After providing a set-theoretic understanding of these model trade-offs, I argue that their implications cannot be understood in isolation from the technical, psychological, organizational, and social factors that shape the integration of AI models into decision-making pipelines. Specifically, I identify three key considerations---validity and instrumental relevance, compositionality, and dynamics---for contextualizing and characterizing these implications. These considerations reveal that the relationship between model trade-offs and corresponding values depends on critical choices and assumptions. Crucially, judicious sacrifices in one model property for another can, in fact, promote both sets of corresponding values. The proposed sociotechnical perspective thus shows that we can and should aspire to higher epistemic and ethical possibilities than the prevalent interpretation suggests, while offering practical guidance for achieving those outcomes. Finally, I draw out the broader implications of this perspective for AI design and governance, highlighting the need to broaden normative engagement across the AI lifecycle, develop legal and auditing tools sensitive to sociotechnical considerations, and rethink the vital role and appropriate structure of interdisciplinary collaboration in fostering a responsible AI workforce. (shrink)

民间游戏是传统文化的精髓,集运动、智慧、娱乐于一身.但随社会发展,民间游戏已呈衰落的趋势,面临失传境地.本书试图从科学的视角重新审视,使其焕发新的生命力.本书旨在从科学的角度进行引导,在老游戏中玩出智 慧、乐趣和健康好身体.图文并茂,通俗易懂,便于传播,力图使其成为"孩子的游乐场,亲情的粘合剂,教师的好帮手,研究者的资源库".

Populism is on the rise, especially in Western Europe. While it is often assumed that populist actors have a tendency for fallacious reasoning, this has not been systematically investigated. We analyze the use of informal fallacies by right-wing populist politicians and their representation in the media during election campaigns. We conduct a quantitative content analysis of press releases of right-wing populist parties and news articles in print media during the most recent elections in the United Kingdom and Switzerland in 2015. (...) The results show that fallacies are used in more than a third of all analyzed texts and overwhelmingly co-occur with populist key messages. Moreover, fallacies occur more often in populist parties’ press releases than in news articles and are more common in Switzerland compared to the United Kingdom. This study confirms the argument that populist actors use fallacies in combination with populist claims. (shrink)

Inspired by recent breakthroughs in predictive modeling, practitioners in both industry and government have turned to machine learning with hopes of operationalizing predictions to drive automated decisions. Unfortunately, many social desiderata concerning consequential decisions, such as justice or fairness, have no natural formulation within a purely predictive framework. In efforts to mitigate these problems, researchers have proposed a variety of metrics for quantifying deviations from various statistical parities that we might expect to observe in a fair world and offered a (...) variety of algorithms in attempts to satisfy subsets of these parities or to trade o the degree to which they are satised against utility. In this paper, we connect this approach to fair machine learning to the literature on ideal and non-ideal methodological approaches in political philosophy. The ideal approach requires positing the principles according to which a just world would operate. In the most straightforward application of ideal theory, one supports a proposed policy by arguing that it closes a discrepancy between the real and the perfectly just world. However, by failing to account for the mechanisms by which our non-ideal world arose, the responsibilities of various decision-makers, and the impacts of proposed policies, naive applications of ideal thinking can lead to misguided interventions. In this paper, we demonstrate a connection between the fair machine learning literature and the ideal approach in political philosophy, and argue that the increasingly apparent shortcomings of proposed fair machine learning algorithms reflect broader troubles faced by the ideal approach. We conclude with a critical discussion of the harms of misguided solutions, a reinterpretation of impossibility results, and directions for future research. (shrink)

An axiomatic account of multiset theory is given, where multiplicities are of the same sort as sets. Various theories are proposed covering different existing multiset systems, as well as a stronger theory which is equiconsistent with Zermelo–Fraenkel set theory and with antifoundation. The inclusion relation receives a recursive definition in terms of membership and is shown to be not always antisymmetric.

In this chapter, we aimed at further characterizing the functional neuroanatomy of the human rapid eye movement (REM) sleep at the population level. We carried out a meta-analysis of a large dataset of positron emission tomography (PET) scans acquired during wakefulness, slow wave sleep and REM sleep, and focused especially on the brain areas in which the activity diminishes during REM sleep. Results show that quiescent regions are confined to the inferior and middle frontal cortex and to the inferior parietal (...) lobule. Providing a plausible explanation for some of the features of dream reports, these findings may help in refining the concepts, which try to account for human cognition during REM sleep. In particular, we discuss the significance of these results to explain the alteration in executive processes, episodic memory retrieval and self representation during REM sleep dreaming as well as the incorporation of external stimuli into the dream narrative. (shrink)

The processing of metaphors and idioms has been the subject of neuroscientific research for several decades. However, results are often contradictory, which can be traced back to inconsistent terminology and stimulus control. In this systematic review of research methods, we analyse linguistic aspects of 116 research papers which used EEG, fMRI, PET, MEG, or NIRS to investigate the neural processing of the two figurative subtypes metaphor and idiom. We critically examine the theoretical foundations as well as stimulus control by performing (...) a systematic literature synthesis according to the PRISMA guidelines. We explicitly do not analyse the findings of the studies but instead focus on four primary aspects: definitions of figurative language and its subtypes, linguistic theory behind the studies, control for factors influencing figurative language processing, and the relationship between theoretical and operational definitions. We found both a lack and a broad variety in existing definitions and operationalisation, especially in regard to familiarity and conventionality. We identify severe obstacles in the comparability and validation potential of the results of the papers in our review corpus. We propose the development of a consensus in fundamental terminology and more transparency in the reporting of stimulus design in the research on figurative language processing. (shrink)