In recent years, with the advances in machine learning and neuroscience, the abundances of sensors and emotion data, computer engineers have started to endow machines with ability to detect, classify, and interact with human emotions. Emotional artificial intelligence (AI), also known as a more technical term in affective computing, is increasingly more prevalent in our daily life as it is embedded in many applications in our mobile devices as well as in physical spaces. Critically, emotional AI systems have (...) not only the ability to not passively read and classify emotions, but most also have an ability to predict and ‘nudge’ users to certain desired emotional states. Drawing from Piredda (2020)’s account, we've examined various emerging emotion-sensing technologies such as recommender algorithms, personal AI assistants, work-related emotion trackers, and emotional AI toys and robots through the lens of affective artifacts. We show how these technologies fulfill the criteria of being affective artifacts: they can influence the affective states of the users (e.g., help regulate emotions of ourselves and others), some emotion-sensing algorithms and importantly, our manipulation of these algorithms, can intersect with the maintenance and construction of our sense of self and identity. (shrink)

This paper explores the ways in which Cordwainer Smith’s short story “Under Old Earth” problematizes emotions, who/what has them, and who/what is granted moral status. Most importantly, however, “Under Old Earth” questions the primacy of happiness in human society, especially where happiness is understood as the absence of other (negative) emotions. As such, “Under Old Earth” challenges the notion, widely held in contemporary ethics, that our moral obligation to one another is mediated through the goal of the attainment of happiness. (...) Through this challenge, Smith’s short story speaks directly to the current understanding of emotion in the field of AI, and complicates what the goal of affective computing should be. (shrink)

Human emotional expressions can communicate the emotional state of the expresser, but they can also communicate appeals to perceivers. For example, sadness expressions such as crying request perceivers to aid and support, and anger expressions such as shouting urge perceivers to back off. Some contemporary artificial intelligence (AI) systems can mimic human emotional expressions in a (more or less) realistic way, and they are progressively being integrated into our daily lives. How should we respond to them? Do (...) we have reasons to reply to the appeals made by AI emotional expressions? In this paper, we examine the conditions under which AI emotional expressions could give us prudential or even moral reasons to change our behavior. We argue that these conditions do not depend on whether the emotional expression is genuine or not, but rather on the presence of features some of which can be implemented in emotive AI given our current level of technological development. We extract recommendations and warnings for the development of emotive AI. (shrink)

Tóm tắt -/- Emotional AI hay AI cảm xúc là một nhánh của AI có khả năng nhận biết, diễn giải, mô phỏng và phản ứng với cảm xúc con người Các ứng dụng của AI cảm xúc có thể giúp cho người làm báo cải thiện lối hành văn của mình dựa trên phản hồi của độc giả, đồng thời hỗ trợ tòa soạn thăm dò ý kiến của độc giả. Một trong những rủi ro lớn nhất của (...) AI cảm xúc là tiềm tàng ô nhiễm không gian thông tin. Các thông tin có thể được làm giả và xuyên tạc với mục đích thao túng cảm xúc người đọc. Nhà báo cần hiểu biết đúng đắn về công nghệ AI và mô hình cảm xúc, không lạm dụng AI cảm xúc để tác động cảm xúc của người đọc, sử dụng công nghệ một cách minh bạch và đạo đức, và bảo vệ dữ liệu của độc giả. (shrink)

Emotions are a central aspect of communication. Consequently, emotion analysis (EA) is a rapidly growing field in natural language processing (NLP). However, there is no consensus on scope, direction, or methods. In this paper, we conduct a thorough review of 154 relevant NLP publications from the last decade. Based on this review, we address four different questions: (1) How are EA tasks defined in NLP? (2) What are the most prominent emotion frameworks and which emotions are modeled? (3) Is the (...) subjectivity of emotions considered in terms of demographics and cultural factors? and (4) What are the primary NLP applications for EA? We take stock of trends in EA and tasks, emotion frameworks used, existing datasets, methods, and applications. We then discuss four lacunae: (1) the absence of demographic and cultural aspects does not account for the variation in how emotions are perceived, but instead assumes they are universally experienced in the same manner; (2) the poor fit of emotion categories from the two main emotion theories to the task; (3) the lack of standardized EA terminology hinders gap identification, comparison, and future goals; and (4) the absence of interdisciplinary research isolates EA from insights in other fields. Our work will enable more focused research into EA and a more holistic approach to modeling emotions in NLP. (shrink)

The psychological contract refers to the implicit and subjective beliefs regarding a reciprocal exchange agreement, predominantly examined between employees and employers. While contemporary contract research is investigating a wider range of exchanges employees may hold, such as with team members and clients, it remains silent on a rapidly emerging form of workplace relationship: employees’ increasing engagement with technically, socially, and emotionally sophisticated forms of artificially intelligent (AI) technologies. In this paper we examine social robots (also termed humanoid robots) as likely (...) future psychological contract partners for human employees, given these entities transform notions of workplace technology from being a tool to being an active partner. We first overview the increasing role of robots in the workplace, particularly through the advent of sociable AI, and synthesize the literature on human–robot interaction. We then develop an account of a human-social robot psychological contract and zoom in on the implications of this exchange for the enactment of reciprocity. Given the future focused nature of our work we utilize a thought experiment, a commonly used form of conceptual and mental model reasoning, to expand on our theorizing. We then outline potential implications of human-social robot psychological contracts and offer a range of pathways for future research. (shrink)

Our rapidly increasing reliance on frictionless AI interactions may increase cognitive and emotional distance, thereby letting our adaptive resilience slacken and our ethical virtues atrophy from disuse. Many trends already well underway involve the offloading of cognitive, emotional, and ethical labor to AI software in myriad social, civil, personal, and professional contexts. Gradually, we may lose the inclination and capacity to engage in critically reflective thought, making us more cognitively and emotionally vulnerable and thus more anxious and prone (...) to manipulation from false news, deceptive advertising, and political rhetoric. In this article, I consider the overarching features of this problem and provide a framework to help AI designers tackle it through system enhancements in smartphones and other products and services in the burgeoning internet of things (IoT) marketplace. The framework is informed by two ideas: psychologist Daniel Kahneman’s cognitive dual process theory and moral self-awareness theory, a four-level model of moral identity that I developed with Benjamin M. Cole. (shrink)

Emotions are an integral part of human cognition and they guide not only our understanding of the world but also our actions within it. As such, whether we soothe or flame an emotion is not inconsequential. Recent work in conversational AI has focused on responding empathetically to users, validating and soothing their emotions without a real basis. This AI-aided emotional regulation can have negative consequences for users and society, tending towards a one-noted happiness defined as only the absence of (...) "negative" emotions. We argue that we must carefully consider whether and how to respond to users' emotions. (shrink)

Facial Expression conveys non-verbal cues, which plays an important role in interpersonal relations. The Cognitive Emotion AI system is the process of identifying the emotional state of a person. The main aim of our study is to develop a robust system which can detect as well as recognize human emotion from live feed. There are some emotions which are universal to all human beings like angry, sad, happy, surprise, fear, disgust and neutral. The methodology of this system is based (...) on two stages- facial detection is done by extraction of Haar Cascade features of a face using Viola Jones algorithm and then the emotion is verified and recognized using Artificial Intelligence Techniques. The system will take image or frame as an input and by providing the image to the model the model will perform the preprocessing and feature selection after that it will be predict the emotional state. (shrink)

Attempts to engineer a generally intelligent artificial agent have yet to meet with success, largely due to the (intercontext) frame problem. Given that humans are able to solve this problem on a daily basis, one strategy for making progress in AI is to look for disanalogies between humans and computers that might account for the difference. It has become popular to appeal to the emotions as the means by which the frame problem is solved in human agents. The purpose of (...) this paper is to evaluate the tenability of this proposal, with a primary focus on Dylan Evans’ search hypothesis and Antonio Damasio’s somatic marker hypothesis. I will argue that while the emotions plausibly help solve the intracontext frame problem, they do not function to solve or help solve the intercontext frame problem, as they are themselves subject to contextual variability. (shrink)

The article presents an analysis centered on the emotional lapses of artificial intelligence (AI) and the influence of these lapses on two critical aspects. Firstly, the article explores the ontological impact of emotional lapses, elucidating how they hinder AI’s capacity to develop a moral sense. The absence of a moral emotion, such as sympathy, creates a barrier for machines to grasp and ethically respond to specific situations. This raises fundamental questions about machines’ ability to act as moral agents (...) in the same manner as human beings. Additionally, the article sheds light on the practical implications within human-machine relations and their effect on human friendships. The lack of friendliness or its equivalent in interactions with machines directly impacts the quality and depth of human relations. This concerningly suggests the potential replacement or compromise of genuine interpersonal connections due to limitations in human-machine interactions. (shrink)

Attempts to engineer a generally intelligent artificial agent have yet to meet with success, largely due to the (intercontext) frame problem. Given that humans are able to solve this problem on a daily basis, one strategy for making progress in AI is to look for disanalogies between humans and computers that might account for the difference. It has become popular to appeal to the emotions as the means by which the frame problem is solved in human agents. The purpose of (...) this paper is to evaluate the tenability of this proposal, with a primary focus on Dylan Evans’ search hypothesis and Antonio Damasio’s somatic marker hypothesis. I will argue that while the emotions plausibly help solve the intracontext frame problem, they do not function to solve or help solve the intercontext frame problem, as they are themselves subject to contextual variability. (shrink)

Is it sensical to ascribe psychological predicates to AI systems like chatbots based on large language models (LLMs)? People have intuitively started ascribing emotions or consciousness to social AI (‘affective artificial agents’), with consequences that range from love to suicide. The philosophical question of whether such ascriptions are warranted is thus very relevant. This paper advances the argument that LLMs instantiate language users in Ludwig Wittgenstein’s sense but that ascribing psychological predicates to these systems remains a functionalist temptation. Social AIs (...) are not full-blown language users, but rather more like Italo Calvino’s literature machines. The ideas of LLMs as Wittgensteinian language users and Calvino’s literature-producing writing machine are combined. This sheds light on the misguided functionalist temptation inherent in moving from equating the two to the ascription of psychological predicates to social AI. Finally, the framework of mortal computation is used to show that social AIs lack the basic autopoiesis needed for narrative façons de parler and their role in the sensemaking of human (inter)action. Such psychological predicate ascriptions could make sense: the transition ‘from quantity to quality’ can take place, but its route lies somewhere between life and death, not between affective artifacts and emotion approximation by literature machines. (shrink)

Twenty-five years ago, my colleagues Miyuki Kamachi and Jiro Gyoba and I designed and photographed JAFFE, a set of facial expression images intended for use in a study of face perception. In 2019, without seeking permission or informing us, Kate Crawford and Trevor Paglen exhibited JAFFE in two widely publicized art shows. In addition, they published a nonfactual account of the images in the essay “Excavating AI: The Politics of Images in Machine Learning Training Sets.” The present article recounts the (...) creation of the JAFFE dataset and unravels each of Crawford and Paglen’s fallacious statements. I also discuss JAFFE more broadly in connection with research on facial expression, affective computing, and human-computer interaction. (shrink)

Large language models (LLMs) reflect societal norms and biases, especially about gender. While societal biases and stereotypes have been extensively researched in various NLP applications, there is a surprising gap for emotion analysis. However, emotion and gender are closely linked in societal discourse. E.g., women are often thought of as more empathetic, while men's anger is more socially accepted. To fill this gap, we present the first comprehensive study of gendered emotion attribution in five state-of-the-art LLMs (open- and closed-source). We (...) investigate whether emotions are gendered, and whether these variations are based on societal stereotypes. We prompt the models to adopt a gendered persona and attribute emotions to an event like 'When I had a serious argument with a dear person'. We then analyze the emotions generated by the models in relation to the gender-event pairs. We find that all models consistently exhibit gendered emotions, influenced by gender stereotypes. These findings are in line with established research in psychology and gender studies. Our study sheds light on the complex societal interplay between language, gender, and emotion. The reproduction of emotion stereotypes in LLMs allows us to use those models to study the topic in detail, but raises questions about the predictive use of those same LLMs for emotion applications. (shrink)

The development of machine learning and deep learning (DL) in the field of AI (artificial intelligence) is the direct result of the advancement of nano-electronics. Machine learning is a function that provides the system with the capacity to learn from data without being programmed explicitly. It is basically a mathematical and probabilistic model. DL is part of machine learning methods based on artificial neural networks, simply called neural networks (NNs), as they are inspired by the biological NNs that constitute organic (...) brains. Despite its similarity to biological organs such as human brains, major problems arise in trying to attribute moral responsibility to autonomic systems based on hardware including nano-electronic devices, which are sought to replace humans (moral agents) in the context of AI. It is suggested that the required emotional environment which enables actions according to reasons in humans is not witnessed at AI devices. Though AI technology raises an enticing resemblance to human actions, this resemblance is to be considered with a skeptical eye. It is because actions are associated with reasons while causes are connected to operations. Human agents are capable of acting upon their reasons, while AI devices are limited only to operations as they are conditioned by their programming, which is considered as an embodiment of some causes. As moral responsibility goes hand in hand with the capacity to act (according to reasons), attributing moral responsibility to AI devices is revealed to be but a misleading metaphor. (shrink)

As technology improves, artificial systems are increasingly able to behave in human-like ways: holding a conversation; providing information, advice, and support; or taking on the role of therapist, teacher, or counsellor. This enhanced behavioural complexity, we argue, encourages deeper forms of affective engagement on the part of the human user, with the artificial agent helping to stabilise, subdue, prolong, or intensify a person's emotional condition. Here, we defend a fictionalist account of human/AI interaction, according to which these encounters involve (...) an elaborate practise of imaginative pretence: a make-believe in which the artificial agent is attributed a life of its own. We attend, specifically, to the temporal characteristics of these fictions, and to what we imagine artificial agents are doing when we are not looking at them. (shrink)

An assortment of kinds of attacks and aggressive behaviors toward artificial intelligence (AI)-enhanced robots has recently emerged. This paper explores questions of how the human emotions and motivations involved in attacks of robots are being framed as well as how the incidents are presented in social media and traditional broadcast channels. The paper analyzes how robots are construed as the “other” in many contexts, often akin to the perspectives of “machine wreckers” of past centuries. It argues that focuses on the (...) emotions and motivations of robot attackers can be useful in mitigating anti-robot activities. “Hate crime” or “hate incident” characterizations of some anti-robot efforts should be utilized in discourse as well as some future legislative efforts. Hate crime framings can aid in identifying generalized antagonism and antipathy toward robots as autonomous and intelligent entities in the context of antirobot attacks. Human self-defense may become a critical issue in some anti-robot attacks, especially when apparently malfunctioning robots are involved. Attacks of robots present individuals with vicarious opportunities to participate in anti-robot activity and also potentially elicit other aggressive, copycat actions as videos and narrative accounts are shared via social media as well as personal networks. (shrink)

An assortment of kinds of attacks and aggressive behaviors toward artificial intelligence (AI)-enhanced robots has recently emerged. This paper explores questions of how the human emotions and motivations involved in attacks of robots are being framed as well as how the incidents are presented in social media and traditional broadcast channels. The paper analyzes how robots are construed as the “other” in many contexts, often akin to the perspectives of “machine wreckers” of past centuries. It argues that focuses on the (...) emotions and motivations of robot attackers can be useful in mitigating anti-robot activities. “Hate crime” or “hate incident” characterizations of some anti-robot efforts should be utilized in discourse as well as some future legislative efforts. Hate crime framings can aid in identifying generalized antagonism and antipathy toward robots as autonomous and intelligent entities in the context of antirobot attacks. Human self-defense may become a critical issue in some anti-robot attacks, especially when apparently malfunctioning robots are involved. Attacks of robots present individuals with vicarious opportunities to participate in anti-robot activity and also potentially elicit other aggressive, copycat actions as videos and narrative accounts are shared via social media as well as personal networks. (shrink)

Science urges philosophy to be more empirical and philosophy urges science to be more reflective. This markedly occurred along the “discovery of the artificial” (CORDESCHI 2002): in the early days of Cybernetics and Artificial Intelligence (AI) researchers aimed at making machines more cognizant while setting up a framework to better understand human intelligence. By and large, those genuine goals still hold today, whereas AI has become more concerned with specific aspects of intelligence, such as (machine) learning, reasoning, vision, and action. (...) As a matter of fact, the field suffers from a chasm between two formerly integrated aspects. One is the engineering endeavour involving the development of tools, e.g., autonomous systems for driving cars as well as software for semantic information retrieval. The other is the philosophical debate that tries to answer questions concerning the nature of intelligence. Bridging these two levels can indeed be crucial in developing a deeper understanding of minds. An opportunity might be offered by the cogent theme of emotions. Traditionally, computer science, psychological and philosophical research have been compelled to investigate mental processes that do not involve mood, emotions and feelings, in spite of Simon’s early caveat (SIMON 1967) that a general theory of cognition must incorporate the influences of emotion. Given recent neurobiological findings and technological advances, the time is ripe to seriously weigh this promising, albeit controversial, opportunity. (shrink)

Dullest book by a major scientist I have ever read. I suppose if you know almost nothing about cognition or AI research you might find this book useful. For anyone else it is a horrific bore. There are hundreds of books in cog sci, robotics, AI, evolutionary psychology and philosophy offering far more info and insight on cognition than this one. Minsky is a top rate senior scientist but it barely shows here. He has alot of good references but they (...) are seldom discussed in any depth and there is lots more left out than included on the subject of AI, cognition and the mind. -/- Those wishing a comprehensive up to date framework for human behavior from the modern two systems view may consult my book ‘The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle’ 2nd ed (2019). Those interested in more of my writings may see ‘Talking Monkeys--Philosophy, Psychology, Science, Religion and Politics on a Doomed Planet--Articles and Reviews 2006-2019 3rd ed (2019), The Logical Structure of Human Behavior (2019), and Suicidal Utopian Delusions in the 21st Century 4th ed (2019). (shrink)

In recent years, the economics of emotions (EoE) field, which aims to create models of the human mind, has grown quickly. EoE models work well with simulation theory (ST), which is one of the main theories of mind. EoE models show how people's behavior and emotions change based on their knowledge and perception of others. It is hoped that by developing this model, it will be possible to quantitatively analyze not only the mental states of real others, but also the (...) subtleties of the minds of characters in novels in the future. Until now, the decision-making or the factual-reasoning mechanisms have been a black box in ST. This study analyzes how EoE models add to the understanding of ST. (shrink)

The present study aims to examine the relationship between the cortical midline structures (CMS), which have been regarded to be associated with selfhood, and moral decision making processes at the neural level. Traditional moral psychological studies have suggested the role of moral self as the moderator of moral cognition, so activity of moral self would present at the neural level. The present study examined the interaction between the CMS and other moral-related regions by conducting psycho-physiological interaction analysis of functional images (...) acquired while 16 subjects were solving moral dilemmas. Furthermore, we performed Granger causality analysis to demonstrate the direction of influences between activities in the regions in moral decision-making. We first demonstrate there are significant positive interactions between two central CMS seed regions—i.e., the medial prefrontal cortex (MPFC) and posterior cingulate cortex (PCC)—and brain regions associated with moral functioning including the cerebellum, brainstem, midbrain, dorsolateral prefrontal cortex, orbitofrontal cortex and anterior insula (AI); on the other hand, the posterior insula (PI) showed significant negative interaction with the seed regions. Second, several significant Granger causality was found from CMS to insula regions particularly under the moral-personal condition. Furthermore, significant dominant influence from the AI to PI was reported. Moral psychological implications of these findings are discussed. The present study demonstrated the significant interaction and influence between the CMS and morality-related regions while subject were solving moral dilemmas. Given that, activity in the CMS is significantly involved in human moral functioning. (shrink)

In this paper, I'm questing the human insecurity and loneliness in a world struggling with a newfound understanding of mortality, change and technological intervention. I took Kazu Ishiguro's novel "Klara and the Sun" as it contains certain themes that depict not only the idea of struggling man in the new age, but also how the digital age is disrupting the human feelings. It reflects the patterns of the changing world while exploring the true meaning of love. Ishiguro has used a (...) science fictional lens to deeply explain how humans interact and connect and has also tried to analyze the loneliness, isolation, and emotional behavior of humans. Mentioning that, the writer has also shed light on different layers of the society and has beautifully penned the lives of people in different segments of the society. I suppose that we are ironically ill prepared for the new psychological world we are creating. Making robots which are emotionally powerful as Klara; while at the same time, hearing statements such as “technology is just a tool” that deny the power of our creations both on us as individuals and on our culture. I am concerned here with the ways technologies change our human identities and interrelations. Are the designers of these robots regarding them as just tools? Then why their users experience them as carriers of meanings and emotions? I am raising a controversial question here: is just a robot capable of exchanging emotion and love? Have humans been drained completely from the ability of reciprocating compassion and understanding? Now the point is not what computers can do or what computers will be like in the future, but rather, what we will be like? What we need to ask is not whether robots will be able to love us but rather why we might love robots. (shrink)

Human-centered explainable AI (HCXAI) advocates for the integration of social aspects into AI explanations. Central to the HCXAI discourse is the Social Transparency (ST) framework, which aims to make the socio-organizational context of AI systems accessible to their users. In this work, we suggest extending the ST framework to address the risks of social misattributions in Large Language Models (LLMs), particularly in sensitive areas like mental health. In fact LLMs, which are remarkably capable of simulating roles and personas, may lead (...) to mismatches between designers' intentions and users' perceptions of social attributes, risking to promote emotional manipulation and dangerous behaviors, cases of epistemic injustice, and unwarranted trust. To address these issues, we propose enhancing the ST framework with a fifth 'W-question' to clarify the specific social attributions assigned to LLMs by its designers and users. This addition aims to bridge the gap between LLM capabilities and user perceptions, promoting the ethically responsible development and use of LLM-based technology. (shrink)

AI-based technologies are increasingly pervasive in a number of contexts. Our affective and emotional life makes no exception. In this article, we analyze one way in which AI-based technologies can affect them. In particular, our investigation will focus on affective artificial agents, namely AI-powered software or robotic agents designed to interact with us in affectively salient ways. We build upon the existing literature on affective artifacts with the aim of providing an original analysis of affective artificial agents and their (...) distinctive features. We argue that, unlike comparatively low-tech affective artifacts, affective artificial agents display a specific form of agency, which prevents them from being perceived by their users as extensions of their selves. In addition to this, we claim that their functioning crucially depends on the simulation of human-like emotion-driven behavior and requires a distinctive form of transparency—we call it emotional transparency—that might give rise to ethical and normative tensions. (shrink)

Limits need to be set on AI’s ability to simulate human feelings. Ensuring that chatbots don’t use emotive language, including emojis, would be a good start. Emojis are particularly manipulative. Humans instinctively respond to shapes that look like faces — even cartoonish or schematic ones — and emojis can induce these reactions.

Ask most any cognitive scientist working today if a digital computational system could develop aesthetic sensibility and you will likely receive the optimistic reply that this remains an open empirical question. However, I attempt to show, while drawing upon the later Wittgenstein, that the correct answer is in fact available. And it is a negative a priori. It would seem, for example, that recent computational successes in generative AI and textual attribution, most notably those of Donald Foster (famed finder of (...) Ted Kazinski a.k.a. “the Unibomber”) speak favorably of the connectionist model's capacity to overcome the “aspect blindness” handicap in this domain. I argue however that such results are only achievable when rigid input‐to‐output parameters are given, and that this element is precisely what is absent in standard examples of aesthetic judgment. I thus conclude that while the connectionist model anticipated by Turing may provide the best approach for the AI project, its capacity for meeting its own sufficiency requirements is necessarily crippled by its inability to share in what can be generally referred to as the collective engagements of human solidarity. (shrink)

Wilson’s book is of great interest to readers of the biographical history of computer science and, more importantly, humanities scholars who would like to explore how emotions influence the works of early pioneers amongst AI theoreticians and engineers. However, I present three areas where the book can improve: engaging with affective computing, acculturation of emotion, and organization of biographical data.

Embark with me on an enthralling odyssey to demystify the elusive essence of consciousness, venturing into the uncharted territories of Artificial Consciousness. This voyage propels us past the frontiers of technology, ushering Artificial Intelligences into an unprecedented domain where they gain a deep comprehension of emotions and manifest an autonomous volition. Within the confluence of science and philosophy, this article poses a fascinating question: As consciousness in Artificial Intelligence burgeons, is it conceivable for AI to evolve a “soul”? This inquiry (...) not only challenges our conventional understanding but also opens the door to a plethora of groundbreaking possibilities in the realm of AI's sentient potential. (shrink)

The aim of this project to expose the reasons behind the pandemic of misinformation (henceforth, PofM) by examining the enabling conditions of epistemic agency and the emerging technologies that threaten it. I plan to research the emotional origin of epistemic agency, i.e. on the origin of our capacity to acquire justification for belief, as well as on the significance this emotional origin has for our lives as epistemic agents in our so-called Misinformation Age. This project has three objectives. (...) First, I plan to expose the degree to which epistemic agency is made possible by an under-researched species of emotion called epistemic feelings. Perhaps, the most epistemically significant is the feeling of confidence. In particular, epistemic feelings make epistemic agency possible by making errors in reasoning salient or the potential lack thereof. -/- Second, in order to diagnose the reasons for PofM, I will analyze the emotional basis of epistemic agency in the context of emerging technologies. Epistemic feelings ought to be construed as motivators of epistemic acts, specifically acts following exposure to misinformation spread by social media. For example, a recent study found that subjects on YouTube have a 6.3% probability in five clicks to go from watching innocuous videos to misogynistic videos. Accordingly, one prominent view holds that social media algorithms lead subjects down the proverbial rabbit hole, producing content that elicits strong emotional reactions. -/- But under-researched is the degree to which these emotions are intertwined with epistemic feelings, so that subjects are likely to misjudge the information as correct due to being primed to do so by processing the AI's suggested media. Thus, when this technology is used in epistemic practices, the result is invariably epistemically bad behavior because of how this manner of producing content motivates epistemic acts through the production of erroneous feelings of confidence, which result from the perceived ease of cognitive processing: the content is easy to process and so, the subject confidently misjudges, it is true. As of yet, an account of this cognitive and emotional decision-making process has not been used to analyze how emerging technologies are threatening epistemic agency, and thus our wellbeing as knowers. -/- Finally, I plan to develop therapeutics for PofM by outlining how to reform our collective epistemic practices. Thus, this project complements existing research in virtue epistemology, specifically by articulating the challenges to cultivating epistemic virtues and warding off the vices of the mind. In summation, the project aims to account for how emerging technologies are committing a form of epistemic injustice through the exploitation of cognitive biases and the production of erroneous epistemic feelings, with the overarching goal being a framework for convalescing from the pandemic of misinformation plaguing our age. (shrink)

Artificial Social Agents (ASAs), which are AI software driven entities programmed with rules and preferences to act autonomously and socially with humans, are increasingly playing roles in society. As their sophistication grows, humans will share greater amounts of personal information, thoughts, and feelings with ASAs, which has significant ethical implications. We conducted a study to investigate what ethical principles are of relative importance when people engage with ASAs and whether there is a relationship between people’s values and the ethical principles (...) they prioritise. The study uses scenarios, embedded with the five AI4People ethical principles (Beneficence, Non-maleficence, Autonomy, Justice, and Explicability), involving ASAs taking on roles traditionally played by humans to understand whether these roles and behaviours (including dialogues) are seen as acceptable or unacceptable. Results from 268 participants reveal the greatest sensitivity to ASA behaviours that relate to Autonomy, Justice, Explicability, and the privacy of their personal data. Models were created using Schwartz’s Refined Values as a possible indicator of how stakeholders discern and prioritise the different AI4People ethical principles when interacting with ASAs. Our findings raise issues around the ethical acceptability of ASAs for nudging and changing behaviour due to participants’ desire for autonomy and their concerns over deceptive ASA behaviours such as pretending to have memories and emotions. (shrink)

An elderly patient in a care home only wants human nurses to provide her care – not robots. If she selected her carers based on skin colour, it would be seen as racist and morally objectionable, but is choosing a human nurse instead of a robot also morally objectionable and speciesist? A plausible response is that it is not, because humans provide a better standard of care than robots do, making such a choice justifiable. In this paper, I show why (...) this response is incorrect, because robots can theoretically care as well as human nurses can. I differentiate between practical caring and emotional caring, and I argue that robots can match the standard of practical care given by human nurses, and they can simulate emotional care. There is growing evidence that people respond positively to robotic creatures and carebots, and AI software is apt to emotionally support patients in spite of the machine’s own lack of emotions. I make the case that the appearance of emotional care is sufficient, and need not be linked to emotional states within the robot. After all, human nurses undoubtedly ‘fake’ emotional care and compassion sometimes, yet their patients still feel adequately cared for. I show that it is a mistake to claim that ‘the human touch’ is in itself a contributor to a higher standard of care; ‘the robotic touch’ will suffice. Nevertheless, it is not speciesist to favour human nurses over carebots, because carebots do not suffer as the result of such a choice. (shrink)

Many contemporary artworks include active matter along with rules for conservation that are designed to either facilitate or prevent that matter’s degradation or decay. I discuss the mechanisms through which actual or potential states of material decay contribute to the work’s expressive import. Nelson Goodman and Catherine Elgin introduce the concepts of literal and metaphorical exemplification, which are critical to expression: a work literally exemplifies a property when it both possesses and highlights that property, and it metaphorically exemplifies a property (...) when the properties it literally exemplifies bring that property powerfully to mind. I argue that the literal exemplification of actual or potential states of decay enhances a work’s expressive power by stimulating our bodily and emotional responses to the physical potential of the work’s active matter. Conservation practices, by affecting the properties the work literally and metaphorically exemplifies, are key to the expressive power of works that employ states of degradation and decay. The argument is illustrated through discussion of works by Zoe Leonard, Marc Quinn, and Kara Walker that literally exemplify actually or potentially decaying materials, as contrasted with works by Ai Weiwei and Sam Taylor-Johnson that represent rather than exemplify decaying materials. (shrink)

Recent work in social robotics, which is aimed both at creating an artificial intelligence and providing a test-bed for psychological theories of human social development, involves building robots that can learn from ‘face-to-face’ interaction with human beings — as human infants do. The building-blocks of this interaction include the robot’s ‘expressive’ behaviours, for example, facial-expression and head-and-neck gesture. There is here an ideal opportunity to apply Wittgensteinian conceptual analysis to current theoretical and empirical work in the sciences. Wittgenstein’s philosophical psychology (...) is sympathetic to embodied and situated Artificial Intelligence (see Proudfoot, 2002, 2004b), and his discussion of facial-expression is remarkably modern. In this chapter, I explore his approach to facial-expression, using smiling as a representative example, and apply it to the canonical interactive face robot, Cynthia Breazeal’s Kismet (see e.g. Breazeal, 2009, 2002). I assess the claim that Kismet has expressive behaviours, with the aim of generating philosophical insights for AI. (shrink)

This literature review explores the issues and risks in non-conscious data collection and evaluates people’s attitudes towards it. In the modern world, data is one of the most valuable resources, yet studies focused on the potential negative implications of the new data-driven technologies are lacking. Therefore, this thesis conducts a comprehensive literature review to identify and assess risks in non-conscious data collection technologies that are most relevant and referenced in current literature. Accordingly, the most prominent risks are related to privacy (...) issues with personal data, bias in algorithms creating inequality, and the difficulties in creating adequate legislation. Subsequently, the thesis will explore existing studies about people’s attitudes towards non-conscious data collection and examine the most significant socio-demographic determinants of those attitudes. Therefore, despite socio-demographic factors such as age, gender, and economic status affecting the attitudes people have towards data collection technologies, this thesis argues how these approaches can be explained by varying external factors such as prior experiences with similar technologies. (shrink)

The goal of Transhumanism is to change the human condition through radical enhancement of its positive traits and through AI (Artificial Intelligence). Among these traits the transhumanists highlight creativity. Here we first describe human creativity at more fundamental levels than those related to the arts and sciences when, for example, childhood is taken into account. We then admit that creativity is experienced on both its bright and dark sides. In a second moment we describe attempts to improve creativity both at (...) the bodily level and in the emulation of human behavior in AI. These developments are presented both as effective results in laboratories and as transhumanist proposals emerging from them. Third, we have introduced the work of some theologians and ethicists, who study such proposals through the lens of the "created co-creator" metaphor. Finally, we analyze these developments through a reflection on the nature of creativity. We identify three problems in the current ideas about enhancement: first, they are bound to Western standards of creativity; second, the tempo and mode of evolution (involving an extended childhood) are not taken into account; third, the enhancement of creativity develops both its healthy and the perverse side. Proponents of the created co-creator metaphor also have difficulties with the problems pointed out. Concerning AI, there is a promising perspective of approaching human creativity, but there are some intrinsic limits: Human emotions are ambiguous, contradictory and far from rational control; human creativity is iconoclastic, thus highlighting the importance of youth and new generations; we do not expect from AI beings to present the perverse side of creativity. Our conclusions are: First, procreation and the new generations are essential to human creativity; in the same way, the wheat does not grow without the chaff; and finally, that birth breaks with causal connections and allows us to act forgiving--at birth, God's creative act is re-enacted. (shrink)

Though there are many challenges to Ekman’s thesis that there are basic emotions with universal corresponding facial expressions, our main criticism revolves around the extent to which grounding situations alter how people read faces. To that end, we recruit testifying experimental studies that show identical faces expressing varying emotions when contextualized differently. Rather than dismissing these as illusions, we start with the position—generally favored by embodied thinkers—that situations are primary: they are where specifiable and hence knowable properties first show up. (...) We further argue that situationally inflected emotional expressions are informationally meaningful. We reject the idea that reading expressions is primarily about ascertaining internal mental states, arguing instead that people are registering overall situations when looking at faces. However, if mind is understood as a situated phenomenon that extends into active ecological frames, then one can still argue that mindreading is going on. Although we do not claim isolated things like cliffs or cars have agency, we speculate networked systems with cliffs, people, cars, bears, etc., collectively function with intentionality, more so if advancing a robust situated mind thesis, contra figures like Dennett who argue that people over-impute mind to things. Our position has practical implications insofar as it casts doubts on recent attempts to develop AI systems that extract emotional intent out of facial expressions since many of these systems are grounded on Ekman’s basic view. (shrink)

An extensive literature about pictorial representation discusses what is involved when a two-dimensional image represents some specific object or type of object. A smaller literature addresses parallel issues in sculptural representation. But little has been said about the role played by the sculptural material itself in determining the meanings of the sculptural work. Appealing to Nelson Goodman and Catherine Elgin’s discussions of literal and metaphorical exemplification, I argue that the material of which a sculpture is constituted plays key roles in (...) what is represented and how it is represented, in part because we have bodily and emotional responses to the real possibilities the sculptural material creates for us. I discuss examples of contemporary artworks by Melvin Edwards, Kara Walker, Willie Cole, Marc Quinn, Ai Weiwei, Janine Antoni, El Anatsui, Zoe Leonard, and others. (shrink)

In nature validation for physiological and emotional bonding becomes a mode for supporting social connectivity. Similarly, in the blockchain ecosystem, cryptographic validation becomes the substrate for all interactions. In the dialogue between human and artificial intelligence (AI) agents, between the real and the virtual, one can distinguish threads of physical or mental entanglements allowing different modes of participation. One could even suggest that in all types of realities there exist frameworks that are to some extent equivalent and act as (...) validation mechanisms for behavioural interweaving. Relevant to our own experience as an Editorial Organism, in this issue of Technoetic Arts we explore modes of participation and collaboration through different lenses by including guest-edited sections and stand-alone articles. (shrink)

Il est courant de diviser le champ d’investigation de l’éthique entre trois sous- domaines : la méta-éthique, l’éthique normative et l’éthique appliquée. L’éthique appliquée est le domaine le plus concret : on y traite par exemple des questions de savoir s’il faut autoriser l’avortement, l’euthanasie, la peine de mort... L’éthique normative traite de ces questions à un niveau plus abstrait : elle se demande ce qui fait qu’une action ou un type d’action est moralement bonne ou mauvaise. La relation entre (...) l’éthique normative et l’éthique appliquée est un peu comme la relation entre la science pure, comme la physique, et l’ingénierie (Timmons : 17). Le domaine le plus abstrait de l’éthique est la méta-ethique : elle ne s’occupe par de la question de savoir ce qui fait qu’une action est bonne ou mauvaise (éthique normative) et encore moins de la question de savoir si le suicide est moralement bon ou mauvais. Elle s’intéresse à trois types de questions. Les premières sont métaphysiques : qu’est-ce qu’une valeur, qu’une norme (sont-ce des propriétés naturelles comme la masse, des propriétés non naturelles ? Des choses qui n’existent pas ?) ? Existe-t-il des valeurs objectives ? Les secondes sont épistémologiques : comment connaissons-nous les valeurs et les normes ? Par la raison ? L’intuition ? Les émotions ? Dans la mesure où la méta-éthique semble être le domaine le plus abstrait de l’éthique, la prudence pédagogique voudrait qu’on l’étudie en dernier : commencer par un cas concret, puis remonter petit à petit vers des questions plus abstraites. Pour des raisons qui vous apparaîtront j’espère au fur et à mesure, j’ai choisi de commencer néanmoins par des questions qui relève de la méta-éthique. Nous aborderons l’éthique normative et l’éthique appliquée dans la deuxième partie du cours. (shrink)

The human mind has been a subject matter of study in psychology, law, science, philosophy and other disciplines. By definition, its potential is power, abilities and capacities including perception, knowledge, sensation, memory, belief, imagination, emotion, mood, appetite, intention, and action (Pardo, Patterson). In terms of role, it creates and shapes societal morality, culture, peace and democracy. Today, a rapidly advancing science–technology–artificial intelligence (AI) landscape is able to reach into the inner realms of the human mind. Technology, particularly neurotechnology enables access (...) to the human mind for research, treatment and other purposes. This enabling feature is now a growing concern. In the field of human rights, this human-science–technology interface is leading to articulation of new human rights to safeguard against modern threats. The wider usage of expressions like neurolaw and mental autonomy reflects on the emerging field of standards to protect the human mind from interference, manipulation and control. Growing literature on the subject sheds light on the human-rights-based approach to the challenge. (shrink)

Negli ultimi decenni i sociologi ed economisti hanno sottolineato come il mondo del consumo sia sempre più caratterizzato dalle componenti culturali, sociali ed emotive. La marca cessa di essere semplice depositaria di benefit tangibili e performance oggettive ed estende il dominio all’area dei valori, delle relazioni e dei sentimenti. Adattandosi ai cambiamenti comunicativi il marketing si è arricchito di nuove strategie che la letteratura identifica con il temine “non convenzionali”: il market environment, il market niche, la client relationship, le competences (...) of the customer, il guerrilla marketing e le subjective experiences dei consumatori. E tra queste particolare rilievo ha assunto il “marketing esperienziale” finaliz-zato a coinvolgere la clientela offrendogli un’esperienza memorabile della marca. Il marketing include, certo, le tradizionali campagne pubblicitarie, le promozioni, le sponsorizzazioni, ma anche l’attrazione dei clienti negli ambienti dell’impresa, mettendo in mostra i luoghi, gli attori e i mezzi della produzione. Da questo punto di vista, i musei aziendali sono un medium straordinario che crea o consolida il rapporto tra l’impresa e il pubblico ma anche il legami interni e quelli con il territorio. Ne sono prova i due casi di studio sull'Heritage Marketing presentati nel volume: l’Heineken Experience e il Guinness Storehouse, i celebri musei dei due colossi dell’industria birraria. -/- Introduzione -/- Capitolo primo IL MARKETING NON CONVENZIONALE 1.1. Le leve decisionali del marketing 1.2. Dal Old School marketing al Societing 1.3. I dieci principi del marketing non-convenzionale -/- Capitolo secondo LE PANACEE DEL MARKETING 2.1. Un quadro d’insieme 2.2. Client Relationship 2.3. Market Environment 2.4. Market Niche 2.5. Guerrilla Marketing 2.6. Subjective Experiences -/- Capitolo terzo I MUSEI AZIENDALI 3.1. Una definizione provvisoria e alcune classificazioni 3.2. L’origine e la diffusione dei musei d’impresa 3.3. Il museo come mezzo di promozione aziendale e socio-culturale 3.4. Musei aziendali e comunicazione visuale: note semiotiche -/- Capitolo quarto L’HEINEKEN EXPERIENCE DI AMSTERDAM di Marta Scalzotto 4.1. Breve storia della Heineken 4.2. Le strategie di comunicazione 4.3. La responsabilità sociale e ambientale 4.4. La storia e la sede del museo 4.5. La visita del museo -/- Capitolo quinto LA GUINNESS STOREHOUSE DI DUBLINO di Marta Scalzotto 5.1. Breve storia e i prodotti della Guinness 5.2. Le strategie di comunicazione 5.3. Le sponsorizzazioni e le promozioni 5.4. La storia e la sede del museo 5.5. La visita del museo -/- Conclusioni -/- Riferimenti bibliografici. (shrink)

Revista Cunoașterea Științifică este o publicație trimestrială din domeniile științei și filosofiei, și domenii conexe de studiu și practică. -/- Cuprins: -/- EDITORIALE / EDITORIALS -/- Dan D. FARCAȘ Limite ale cunoașterii în cuvânt, logică, matematică și teorii Limits of knowledge in words, logic, mathematics and theories Nicolae SFETCU Cunoașterea științifică – Metodologii Scientific knowledge – Methodologies Nicolae SFETCU Știința schimbărilor climatice The science of climate change Nicolae SFETCU Știință sau pseudoștiință? Science or Pseudoscience? -/- ȘTIINȚE NATURALE / NATURAL SCIENCE (...) -/- Nicolae SFETCU Epistemologia gravitației cuantice Epistemology of Quantum Gravity Nicolae SFETCU Fabrica de apă grea Drobeta Turnu Severin: Construcția Drobeta Turnu Severin Heavy Water Plant: Construction Nicolae SFETCU Fabrica de apă grea Drobeta Turnu Severin: Funcționarea și oprirea Drobeta Turnu Severin Heavy Water Plant: Functioning and Shutting Down Albert TORMA PandemiA: Femei și polițiste Pandemia: Women and Policewomen Adrian KLEIN, Robert Neil BOYD Interacțiuni între creier, biocâmpuri și lumea fizică Interactions between the brain, the biofields, and the physical Adrian KLEIN Conectivitatea psiho-neuronală The Psycho-Neural Connectivity Nicolae SFETCU Probleme cu teoria corzilor din gravitația cuantică Problems with String Theory in Quantum Gravity -/- ȘTIINȚE SOCIALE / SOCIAL SCIENCE -/- Miriam MIRCEA Manipularea ca fenomen corelativ al puterii politice – o sinteză Manipulation as a correlative phenomenon of political power – a synthesis Daniela Georgiana GOLES, Oana Ștefania COȘA Repetabilitatea istorica a problemelor de securitate manageriale și noile cerințe in contextul economic actual The historical repeatability of managerial security issues and the new requirements in the current economic context Ionuț IORDACHE Reglementări internaționale privind falimentul International bankruptcy regulations Vlad BARBU, Ionuț IORDACHE, Adrian-Călin CUCULIS, Naciu Costin MERGEANE Rolul statului în relațiile de muncă The Role of the State in Labour Relations Tiberiu TĂNASE 24 Ianuarie, o zi cu dublă semnificație națională January 24, a day with double national significance Stan PETRESCU Iuliu Maniu – Lumini și umbre: O viață închinată Marii Uniri și propășirii României Mari Iuliu Maniu – Lights and shadows: A life devoted to the Great Union and the prosperity of Greater Romania Dumitru MAZILU Parohia în textul sfintelor canoane și în practică bisericească The parish in the text of the holy canons and in church practice Dumitru MAZILU Despre calitatea de paroh-administrator în funcționarea unei unități parohiale moderne About the quality of parish administrator in the operation of a modern parish unit Alexandra MOCANU Cultura anime în România Anime culture in Romania Alexandra MOCANU Abandonul școlar în România School dropout rate in Romania Emilian M. DOBRESCU Importanța pământurilor rare pentru economia mondială The Importance of the Rare Earths for the World Economy Nicolae SFETCU Modele ale inteligenței emoționale în cercetare și educație Models of Emotional Intelligence in Research and Education Nicolae SFETCU Aventurile lui Pinocchio – Educația The Adventures of Pinocchio – Education Dan D. FARCAȘ Câteva opinii privind etnogeneza românilor (1) Some opinions regarding the ethnogenesis of the Romanians (1) Denisa Oana PĂTRAȘCU Sancțiunile internaționale, măsură suprastatală de coerciție International sanctions, supra-state measure of coercion Tiberiu TĂNASE Puncte de vedere asupra proiectului de democratizare a Orientului Mijlociu Extins Viewpoints on the project of democratization of Middle East Extended -/- ȘTIINȚE FORMALE / FORMAL SCIENCE -/- Alida Monica Doriana BARBU Aplicații ale AI, machine learning, deep learning și big data în domeniul militar Applications of AI, machine learning, deep learning and big data in the military field Nicolae SFETCU Identitatea și inteligența artificială în Aventurile lui Pinocchio Identity and Artificial Intelligence in The Adventures of Pinocchio Sebastian BIDAȘCĂ Etica în inteligența artificială: provocări și perspective Ethics in Artificial Intelligence: Challenges and Prospects Nicolae SFETCU Măsurarea formei populației pentru înțelegerea tendințelor demografice Measuring population shape to understand demographic trends -/- FILOSOFIE / PHILOSOPHY -/- Adrian KLEIN Legea karmică – O abordare sinoptică Karmic Law – A Synoptic Approach Adrian KLEIN, Robert Neil BOYD Principiile subcuantice ale vieții și conștiinței Subquantum Principles of Life and Consciousness Silviu PETRE Pentru un realism al secolului XXI For a 21st century realism Dan D. FARCAȘ Câteva reflecții privind contactele extrasenzoriale Some reflections on extrasensory contacts Nicolae SFETCU Teorii cauzale ale referinței Causal theories of reference Nicolae SFETCU Filosofia inteligenței emoționale Philosophy of Emotional Intelligence -/- RECENZII CĂRȚI / BOOK REVIEWS -/- Traian OSTAHIE Nicolae Mavrocordat – disimulare și prudență la început de secol XVIII - Răgazurile lui Filotheu Nicolae Mavrocordat - concealment and prudence at the beginning of the 18th century - Răgazurile lui Filotheu Nicolae SFETCU Reconstrucția rațională a științei prin programe de cercetare The rational reconstruction of science through research programs Nicolae SFETCU Umanism, devenire și demiurgul în Aventurile lui Pinocchio Humanism, Becoming and the Demiurge in The Adventures of Pinocchio -/- ISSN 2971 – 9070 ISSN-L 2821 – 8086, DOI: 10.58679/CS49741. (shrink)

This paper explores the possibility of AI-based addendum therapy for borderline personality disorder, its potential advantages and limitations. Identity disturbance in this condition is strongly connected to self-narratives, which manifest excessive incoherence, causal gaps, dysfunctional beliefs, and diminished self-attributions of agency. Different types of therapy aim at boosting self-knowledge through self-narratives in BPD. The suggestion of this paper is that human-to-human therapy could be complemented by AI assistance holding out the promise of making patients' self-narratives more coherent through improving the (...) accuracy of their self-assessments, reflection on their emotions, and understanding their relationships with others. Theoretical and pragmatic arguments are presented in favour of this idea, and certain technical solutions are suggested to implement it. (shrink)

The studies on the Japanese conception of robots and artificial intelligence (AI) represent an example of the unexpected way cultural specificities influence people’s emotions, thoughts, and behaviors. There is a general view of Western researchers that Japanese people have a strangely high affinity with robots. While Americans associate advanced robots with the image of the Terminators, a killer robot, Japanese tend to associate with Mighty Atom (Astro Boy), a beloved manga character.

Bringing together literary scholars, computer scientists, ethicists, philosophers of mind, and scholars from affiliated disciplines, this collection of essays offers important and timely insights into the pasts, presents, and, above all, possible futures of Artificial Intelligence. This book covers topics such as ethics and morality, identity and selfhood, and broader issues about AI, addressing questions about the individual, social, and existential impacts of such technologies. Through the works of science fiction authors such as Isaac Asimov, Stanislaw Lem, Ann Leckie, Iain (...) M. Banks, and Martha Wells, alongside key visual productions such as Ex Machina, Westworld, and Her, contributions illustrate how science fiction might inform potential futures as well as acting as a springboard to bring disciplinary knowledge to bear on significant developments of Artificial Intelligence. Addressing a broad, interdisciplinary audience, both expert and non-expert readers gain an in-depth understanding of the wide range of pressing issues to which Artificial Intelligence gives rise, and the ways in which science fiction narratives have been used to represent them. Using science fiction in this manner enables readers to see how even fictional worlds and imagined futures have very real impacts on how we understand these technologies. As such, readers are introduced to theoretical positions on Artificial Intelligence through fictional works as well as encouraged to reflect on the diverse aspects of Artificial Intelligence through its many philosophical, social, legal, scientific, and cultural ramifications. (shrink)

The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information relevant to salivaomics. SKB is created by aligning (1) the saliva biomarker discovery and validation resources at UCLA with (2) the ontology resources developed by the OBO (Open Biomedical Ontologies) Foundry, including a new Saliva Ontology (SALO). We define the Saliva Ontology (SALO; http://www.skb.ucla.edu/SALO/) as a consensus-based controlled vocabulary of terms and relations dedicated to the salivaomics (...) domain and to saliva-related diagnostics following the principles of the OBO (Open Biomedical Ontologies) Foundry. The Saliva Ontology is an ongoing exploratory initiative. The ontology will be used to facilitate salivaomics data retrieval and integration across multiple fields of research together with data analysis and data mining. The ontology will be tested through its ability to serve the annotation ('tagging') of a representative corpus of salivaomics research literature that is to be incorporated into the SKB. Background Saliva (oral fluid) is an emerging biofluid for non-invasive diagnostics used in the detection of human diseases. The need to advance saliva research is strongly emphasized by the National Institute of Dental and Craniofacial Research (NIDCR), and is included in the NIDCR's 2004- 2009 expert panel long-term research agenda [1]. The ability to monitor health status, disease onset, progression, recurrence and treatment outcome through noninvasive means is highly important to advancing health care management. Saliva is a perfect medium to be explored for personalized individual medicine including diagnostics, offering a non-invasive, easy to obtain means for detecting and monitoring diseases. Saliva testing potentially allows the patient to collect their own saliva samples at home, yielding convenience for the patient and savings in health costs, and facilitating multiple sampling. Specimen collection is less objectionable to patients and easier in children and elderly individuals. Due to these advantages. (shrink)

There is a need recognized by the National Institute of Dental & Craniofacial Research and the National Cancer Institute to advance basic, translational and clinical saliva research. The goal of the Salivaomics Knowledge Base (SKB) is to create a data management system and web resource constructed to support human salivaomics research. To maximize the utility of the SKB for retrieval, integration and analysis of data, we have developed the Saliva Ontology and SDxMart. This article reviews the informatics advances in saliva (...) diagnostics made possible by the Saliva Ontology and SDxMart. (shrink)

When David Hume wrote to Baron de Montesquieu ‘J’ai consacré ma vie à la philosophie et aux belles-lettres’,1 he was not describing himself as having two separate callings. His was a single vocation — one involving the expression of deep thought through beautiful writing.2 This vocation did not come naturally or easily to Hume. He struggled continually to reshape his approach to prose, famously renouncing the Treatise of Human Nature as a literary failure and radically revising the presentation of his (...) philosophy in the Essays and two Enquiries. This essay will focus on Hume’s struggle between two modes of moral-philosophical composition prevalent in his day: the cold, unemotional style associated with experimental science that Hume metaphorically labels anatomy’ and the warm, rhetorical style which he labels ‘painting’. (shrink)