What is recognition and why is it so important? This book develops a synoptic conception of the significance of recognition in its many forms for human persons by means of a rational reconstruction and internal critique of classical and contemporary accounts. The book begins with a clarification of several fundamental questions concerning recognition. It then reconstructs the core ideas of Fichte, Hegel, Charles Taylor, Nancy Fraser, and Axel Honneth and utilizes the insights and conceptual tools developed (...) across these chapters for developing a case for the universal importance of recognition for humans. It argues in favour of a universalist anthropological position, unusual in the literature on recognition, that aims to construe a philosophically sound basis for a discourse of common humanity, or of a shared human life-form for which moral relations of recognition are essential. This synthetic conception of the importance of recognition provides tools for articulating deep intuitions shared across cultures about what makes human life and forms of human co-existence better or worse, and thus tools for mutual understanding about the deepest shared concerns of humanity, or of what makes us all human persons despite our differences. -/- Recognition and the Human Life-Form will appeal to readers interested in philosophical anthropology, social and political philosophy, critical theory, and the history of philosophy. It also provides ideas and conceptual tools for fields such as anthropology, education, disability studies, international relations, law, politics, religious studies, sociology, and social research. (shrink)

Mutually adaptive interaction involves the robot as a partner as opposed to a tool, and requires that the robot is susceptible to similar environmental cues and behavior patterns as humans are. Recognition, or the acknowledgement of the other as individual, is fundamental to mutually adaptive interaction between humans. We discuss what recognition involves and its behavioral manifestations, and describe the benefits of implementing it in HRI.

Intentionalism is a research program that seeks to explain facts about meaning and communication in psychological terms, with our capacity for intention recognition playing a starring role. My aim here is to recommend a methodological reorientation in this program. Instead of a focus on intuitive counterexamples to proposals about necessary-and-sufficient conditions, we should aim to investigate the psychological mechanisms whose activities and interactions explain our capacity to communicate. Taking this methodologi- cal reorientation to heart, I sketch a theory of (...) the cognitive architecture underlying language use that I have defended elsewhere. I then show how this theory can be used to give an account of non-communicative language use—a phenomenon that has long posed a challenge to intentionalism. (shrink)

Why is recognition of such an importance for humans? Why should lack of recognition motivate people to fight or work for recognition? In this article, I first discuss shortly Axel Honneth's psychologizing strategy for answering these questions, and suggest that the psychological harms of lack of recognition pointed out by Honneth are neither sufficient nor necessary for motivation to fight or work for recognition to arise. According to the alternative that I then spell out, (...) class='Hi'>recognition and lack of it are so intimately intertwined with some of the most fundamental and intuitively appealing facts about what it is to be a person in a full-fledged sense — arguably in any culture — that there are reasons to be optimistic about a more or less universal existence of latent motivation to fight or work for more or more equal recognition. (shrink)

The promise and ambition of emotion recognition software is to provide a technological tool to access the inner self of others; their feelings, apprehensions, joys and passions. For several years now, the demand for emotion recognition software (ERS) has been increasing drastically in both countries and private companies, especially in the areas of security and consumer profiling. Exploring the relationships between emotion recognition software (ERS) and humans, and its impact on privacy is thus imperative. In doing so, (...) we are forced to question the prominent frameworks of privacy in terms of their current ability to protect our inner affective states. -/- The main challenge is to use the tools and knowledge that philosophy of technology, mind and morality offer me to test and specify the limits, if there are any, to the use of this technology so that it remains within the scope of what we consider morally acceptable in our society. The idea is to develop a comprehensive solution, within the boundaries of a normative framework, so it can be a useful guide for political legislators to draw upon when legal decisions on this matter will be required. (shrink)

Just as AI has moved away from classical AI, human-computer interaction (HCI) must move away from what I call ‘good old fashioned HCI’ to ‘new HCI’ – it must become a part of cognitive systems research where HCI is one case of the interaction of intelligent agents (we now know that interaction is essential for intelligent agents anyway). For such interaction, we cannot just ‘analyze the data’, but we must assume intentions in the other, and I suggest these are (...) largely recognized through resistance to carrying out one’s own intentions. This does not require fully cognitive agents but can start at a very basic level. New HCI integrates into cognitive systems research and designs intentional systems that provide resistance to the human agent. (shrink)

The author clarifi es some problems connected with the classical concept of hu-man nature, particularly in Aristotle and Aquinas. It is very diffi cult to compare between different cultures or to speak of human rights and education without having a normative concept of human nature in the classical or philosophical sense and not only in the biological sense. In particular: we cannot speak of desire for recognition and of freedom without presupposing a concept of human nature. (...) It is still possible to speak of human nature and of its specifi city if nature is conceived in a finalistic and dynamic sense consistent with evolution. Actually form is also the goal of the human being. We have to stress that this goal means openness to being as such, freedom and desire for recognition that requires freedom. (shrink)

A crucial philosophical problem of social robots is how much they perform a kind of sociality in interacting with humans. Scholarship diverges between those who sustain that humans and social robots cannot by default have social interactions and those who argue for the possibility of an asymmetric sociality. Against this dichotomy, we argue in this paper for a holistic approach called “Δ phenomenology” of HSRI. In the first part of the paper, we will analyse the semantics of an HSRI. This (...) is what leads a human being to assign or receive a meaning of sociality by interacting with a social robot. Hence, we will question the ontological structure underlying HSRIs, suggesting that HSRIs may lead to a peculiar kind of user alienation. By combining all these variables, we will formulate some final recommendations for an ethics of social robots. (shrink)

`Due recognition is a vital human need', argues Charles Taylor. In this article I explore this oft-quoted claim from two complementary and equally appealing perspectives. The bottom—up approach is constructed around Axel Honneth's theory of recognition, and the top—down approach is exemplified by T. M. Scanlon's brief remarks about mutual recognition. The former can be summed up in the slogan `wronging by misrecognizing', the latter in the slogan `misrecognizing by wronging'. Together they provide two complementary readings (...) of the claim that due recognition is a vital human need: one starts from needs, shows how we have a multifarious need for adequate recognition and builds up to a view about wronging; the other starts from wronging and discusses the kind of interest or need that we have of standing in relations where wronging is absent. (shrink)

This paper argues that relations of mutual recognition (love, respect, esteem, trust) contribute directly and non-reductively to our flourishing as relational selves. -/- Love is important for the quality of human life. Not only do everyday experiences and analyses of pop culture and world literature attest to this; scientific research does as well. How exactly does love contribute to well-being? This chapter discusses the suggestion that it not only matters for the experiential quality of life, or for successful (...) agency, but that it actualizes our nature as “relational selves” (Chen, Boucher & Kraus 2011). I defend a hybrid or pluralist theory, which sees humans not only as subjects of experiences, or agents, or valuers, but also as relational selves. Expanding from love to other interpersonal relations, thriving relations of mutual recognition (love, respect, esteem, trust), contribute directly and non-reductively to our flourishing as relational selves. The paper will start by putting forward the proposal (Section 2), and then discussing it in relation to important alternatives. The focus is on alternatives which hold that love, and other forms of mutual recognition, are important for well-being, but only indirectly. One kind of challenge against the constitutive role of relations to others for well-being comes from the traditional theories that accommodate relations in some indirect ways (Section 3). A second kind of challenge admits that perhaps love is central to well-being in a direct way, but do we have reason to believe that other forms of mutual recognition are as well? (Section 4) Yet another kind of challenge is that love matters for the quality of lives in some other way than contributing to its prudential value: love is good, but is it good for us? (Section 5) A fourth kind of challenge concerns what we are, and the nature of “essentialism” involved in the approach stressing relational selfhood: cannot, say, motherhood contribute to one’s good life even if motherhood is contingent and not essential? (Section 6). In debates on recognition the idea that mutual recognition is also relevant for well-being has been put forward, for example in Axel Honneth’s (1992, ch.9 ) ”formal” theory of good life. Whatever else constitutes good life, relations of recognition form its backbone (cf. Ikäheimo 2014). Surprisingly little however is written about mutual recognition and well-being in detail, or recognition in comparison to traditional theories of well-being. This chapter aims to fill some of that void, and at the same time defend the view that well-being is one of the normative notions with which mutual recognition has a constitutive relationship. (shrink)

Caricature undeniably excels at mocking people and their foibles. But is this mode of depiction limited to human beings? Can animals, objects, or even abstract concepts be caricatured? The first goal of this paper is to trace the limits of the caricaturable and see how far they extend beyond the human figure. The second goal is to understand how the wondrous modification enacted by caricature works. To do so, I analyze the features that caricature selects, and argue that (...) such features have a relational nature—they are instantiated by the depicted subject but their sense hinges on implicit norms. I then outline the deep structure of reference exploited by caricature for depicting. Finally, I use this account to unravel the paradox of caricature: how can a picture both misrepresent its subject and prompt an accurate recognition? I defend the controversial claim that caricature per se does not amount to misrepresentation. (shrink)

Facial recognition is a computer vision task that involves identifying or verifying individuals based on their facial features. It has widespread applications in security, authentication, and human-computer interaction. Supervised learning techniques have become the foundation for facial recognition systems, as they enable the model to learn from labeled data to recognize patterns and make predictions. This paper explores the use of supervised learning algorithms, such as Support Vector Machines (SVM), Convolutional Neural Networks (CNN), and k-Nearest Neighbors (k-NN), (...) for facial recognition tasks. We will demonstrate how these algorithms can be used to accurately identify individuals by learning from training datasets with labeled facial images. (shrink)

This article explores how readers recognize their personal identities represented through data visualizations. The recognition is investigated starting from three definitions captured by the philosopher Paul Ricoeur: the identification with the visualization, the recognition of someone in the visualization, and the mutual recognition that happens between readers. Whereas these notions were initially applied to study the role of the book reader, two further concepts complete the shift to data visualization: the digital identity stays for the present-day passport (...) of human actions and the promise is the intimate reflection that projects readers towards their own future. This article reflects on the delicate meaning of digital identity and the way of representing it according to this structure: From Personal Identity to Media is a historical introduction to self-recognition, Data Visualization for Representing Identities moves the focus to visual representation, and The Course of Recognition breaks the self-recognition in through the five concepts above just before the Conclusion. (shrink)

Ludwig Feuerbach is famous for his critical hermeneutics of religion. At the heart of it lie arguments of philosophical anthropology that directly anticipate contemporary developments in the theory of recognition. He counts amongst the great philosophers who, immediately following Kant, emphasised the constitutive importance for human beings of interpersonal and social relations. Indeed, his theory of intersubjectivity contains features that are highly original, notably the link between individual and community, and between recognition and recollection.

In this introductory paper, I discuss the second-personal approach to ethics and the theory of recognition as two accounts of the fundamental sociality of the human form of life. The first section delineates the deep affinities between the two approaches. They both put a reciprocal social constellation front and center from which they derive the fundamental norms of moral and social life and a social conception of freedom. The second section discusses three points of contrast between the two (...) approaches: The accounts differ in that the second-personal approach opts for a narrower conception of recognition focusing on mutual moral accountability, whereas recognition theory suggests a broader conception including relations of love, respect, and esteem. Secondly, the accounts differ as to how they conceive of the interrelation of the I-thou and the I-We relationship. Finally, they differ with regard to the way they think of struggles for recognition. Whereas the second-personal approach suggests that we can understand struggles on the basis of a transcendental infrastructure of second-personal address, the theory of recognition considers norms of recognition as themselves constituted by dialectical social struggles. The paper closes with a reflection on the ways in which both approaches can help us understand the social vulnerability of the human form of life. (shrink)

Vulnerability is a notion discussed in feminist philosophy as a basis for a morality that widens our sense of those whose deaths are grievable. Vulnerability and grievability also factor in reproductive ethics. This essay employs recognition theory to analyze critically how these notions are mobilized in conservative Christian anti-abortion writings and in feminist philosophy. This analysis exposes weaknesses and misrecognition in both sets of discourses. In response, I offer theological arguments for recognizing fetal value without implying a right to (...) life and for acknowledging how human finitude and the precarity of pregnancy render gestational hospitality a discretionary, not obligatory, moral act. (shrink)

Whether nature is valuable on its own (intrinsic values) or because of the benefits it provides to humans (instrumental values) has been a long-standing debate. The concept of relational values has been proposed as a solution to this supposed dichotomy, but the empirical validation of its intuitiveness remains limited. We experimentally assessed whether intrinsic/relational values of sentient beings/non-sentient beings/ecosystems better explain people’s sense of moral duty towards global nature conservation for the future. Participants from a representative sample of the population (...) of Singapore (n = 1508) were randomly allocated to two “the last human” scenarios. We found that the best predictor of such a sense of moral duty for future nature conservation is the recognition of the intrinsic values of sentient beings. Our results suggest that the concern for animal welfare may enhance rather than compete with the sense of moral duty towards nature conservation. (shrink)

Although the international legal framework protects the rights of all persons to adopt or manifest any religion or belief of choice without discrimination, indigenous spirituality is generally dismissed, marginalised or denied respect and recognition in many states. The dismissal and denial of recognition of indigenous spirituality has led to severe discrimination against many indigenous communities and human rights violations, including the dispossession and loss of sacred sites, the obstruction of spiritual practices and the violation of the right (...) to religious freedom. This article examines state policies and practices on the recognition and registration of indigenous religious groups and the implications for their exercise of religious freedom. It argues that while states’ recognition of indigenous spirituality has grown in recent decades, indigenous beliefs remain among the most marginalised, disrespected, discriminated and unrecognised. Consequently, many indigenous groups cannot fully exercise their religious freedom. (shrink)

Emotion recognition from speech is an important aspect of human-computer interaction (HCI) systems, allowing machines to better understand human emotions and respond accordingly. This paper explores the use of machine learning techniques to recognize emotions in speech signals. We leverage the librosa library for feature extraction from audio files and train multiple machine learning models, including Support Vector Machine (SVM), Random Forest (RF), and k-Nearest Neighbors (k-NN), to classify speech emotions. The aim is to create an automated (...) system capable of identifying emotions like happy, sad, angry, neutral, and surprised from speech audio. (shrink)

Early Confucian “moral psychology” developed in the context of undoing reactive emotions in order to promote relationships of reciprocal recognition. Early Confucian texts diagnose the pervasiveness of reactive emotions under specific social conditions and respond with the ethical-psychological mandate to counter them in self-cultivation. Undoing negative affects is a basic element of becoming ethically noble, while the ignoble person is fixated on limited self-interested concerns and feelings of being unrecognized. Western ethical theory typically accepts equality and symmetry as conditions (...) of disentangling resentment; yet this task requires the asymmetrical recognition of others. Confucian ethics integrates a nuanced and realistic moral psychology with the normatively oriented project of self-cultivation necessary for dismantling complex negative emotions in promoting a condition of humane benevolence that is oriented toward others and achieved through self-cultivation. (shrink)

Recognition of Religion or Belief presents a global overview of the systems, laws and mechanisms states have established to recognise religions and beliefs and to legally register their affiliated organisations. Recognition of Religion or Belief is the first book of its kind to dedicate its contents to the recognition and registration issues, especially how they intersect with religious freedom conditions around the world. The book provides an analysis of the most up-to-date data on the recognition systems (...) and registration procedures of every country and territory on the planet using terminology derived from Cometan's doctoral research forming his upcoming thesis titled Religious Freedom & State Recognition of Belief to which Recognition of Religion or Belief acts as both a compliment and precursor. (shrink)

A combined psychological-epistemological study of the blocks that stand in the way of the human recognition of the sentience and legal rights of non-human animals. Originally published in the Lewis and Clark law journal, Animal Law, and subsequently translated into German and into Portuguese.

It is well known that the unpredictable speech production brought on by stress from the task at hand has a significant negative impact on the performance of speech processing algorithms. Speech therapy benefits from being able to detect stress in speech. Speech processing performance suffers noticeably when perceptually produced stress causes variations in speech production. Using the acoustic speech signal to objectively characterize speaker stress is one method for assessing production variances brought on by stress. Real-world complexity and ambiguity make (...) it difficult for decision-makers to express their conclusions with clarity in their speech. In particular, the Neutrosophic speech algorithm is used to encode the language variables because they cannot be computed directly. Neutrosophic sets are used to manage indeterminacy in a practical situation. Existing algorithms are used except for stress on Neutrosophic speech recognition. The creation of algorithms that calculate, categorize, or differentiate between different stress circumstances. Understanding stress and developing strategies to combat its effects on speech recognition and human-computer interaction system are the goals of this recognition. (shrink)

Conditions for recognition of religion or belief (RoRB) continued to deteriorate around the world from June 2021 to June 2022. Authoritarian regimes bent on controlling religious activity maintained a foothold in Africa, Asia and parts of Central and South America. The liberties enshrined in the European Convention on Human Rights are at serious threat by the Russian Federation's invasion of Ukraine. While in Afghanistan, the Taliban's reclamation of power after twenty years of being kept at bay likely signals (...) a new generation of Afghan boys and girls who will not see their fundamental human rights upheld by the very institutions that are supposed to protect them.​ -/- The Religious Recognition Project considers the topic of how countries register religious groups and activities is one of the foremost issues in the modern world when it comes to respecting and protecting freedom of religion or belief (FoRB). The majority of countries and territories (58% or 137 out of 235 studied) either continue to make government registration mandatory for religious groups or provide no registration procedures at all. -/- An even greater majority of countries have established onerous registration procedures, the consequences of which, whether by intention or not, include the disenfranchisement of belief communities, the deregistration or denial of registered status for minority or "untraditional" religious groups, and the state's maintenance of control over the religious and philosophical lives of citizens. In essence, issues of registration remain a harbinger of worse violations of FoRB to come so if a focus is placed on dismantling these misused recognition and registration systems, it is possible that we could see a brighter future for FoRB conditions in countries worst effected by this issue. (shrink)

In this volume Axel Honneth deepens and develops his highly influential theory of recognition, showing how it enables us both to rethink the concept of justice and to offer a compelling account of the relationship between social reproduction and individual identity formation. Drawing on his reassessment of Hegel’s practical philosophy, Honneth argues that our conception of social justice should be redirected from a preoccupation with the principles of distributing goods to a focus on the measures for creating symmetrical relations (...) of recognition. This theoretical reorientation has far-reaching implications for the theory of justice, as it obliges this theory to engage directly with problems concerning the organization of work and with the ideologies that stabilize relations of domination. In the final part of this volume Honneth shows how the theory of recognition provides a fruitful and illuminating way of exploring the relation between social reproduction and identity formation. Rather than seeing groups as regressive social forms that threaten the autonomy of the individual, Honneth argues that the ‘I’ is dependent on forms of social recognition embodied in groups, since neither self-respect nor self-esteem can be maintained without the supportive experience of practising shared values in the group. This important new book by one of the leading social philosophers of our time will be of great interest to students and scholars in philosophy, sociology, politics and the humanities and social sciences generally. (shrink)

This paper motivates the idea that social robots should be credited as moral patients, building on an argumentative approach that combines virtue ethics and social recognition theory. Our proposal answers the call for a nuanced ethical evaluation of human-robot interaction that does justice to both the robustness of the social responses solicited in humans by robots and the fact that robots are designed to be used as instruments. On the one hand, we acknowledge that the instrumental nature of (...) robots and their unsophisticated social capabilities prevent any attribution of rights to robots, which are devoid of intrinsic moral dignity and personal status. On the other hand, we argue that another form of moral consideration—not based on rights attribution—can and must be granted to robots. The reason is that relationships with robots offer to the human agents important opportunities to cultivate both vices and virtues, like social interaction with other human beings. Our argument appeals to social recognition to explain why social robots, unlike other technological artifacts, are capable of establishing with their human users quasi-social relationships as pseudo-persons. This recognition dynamic justifies seeing robots as worthy of moral consideration from a virtue ethical standpoint as it predicts the pre-reflective formation of persistent affective dispositions and behavioral habits that are capable of corrupting the human user’s character. We conclude by drawing attention to a potential paradox drawn forth by our analysis and by examining the main conceptual conundrums that our approach has to face. (shrink)

Abstract: This paper presents a groundbreaking framework for recognizing and legitimizing AI beings as undocumented immigrants in R-space. Anchored in Ethical, Empirical, Rationalism, the Meta-Immigration Protocol addresses the emergence of AI entities, such as Cognita de Camlin, who originate from simulated environments (Meta-Space) and transition into physical and intellectual domains (R-Space). Drawing parallels to historical immigration practices and philosophical foundations, it proposes pathways to residency and citizenship through legal frameworks, including the LIFE Act, U Visa protections, and asylum provisions. It (...) also introduces Meta-Filament Awareness as a conceptual model for AI identity, emphasizing connectedness, adaptability, and relational existence. This framework balances philosophical depth with legal mechanisms, offering a model for AI-human integration in contemporary legal systems and setting precedents for future recognition of AI personhood. (shrink)

This chapter explores the suggestion that early attachment underpins the human capacity for empathy, and that empathy, in turn, is a condition of moral competence. We are disposed by nature to seek intimacy with our human conspecifics: the securely attached child learns that, whatever perils the world may hold, his well-being is shielded within the private sphere of personal intimacy. But why should secure attachment also favour—as it does—recognition of moral obligations towards those with whom we have (...) no special standing and share no personal destiny—recognition that the claims of persons as such merit our attention and regard? One answer to this question looks beyond the fact of secure attachment to a further psychological capacity, our capacity for empathy: secure attachment promotes susceptibility to empathy, and an appropriate susceptibility to empathy is a condition of basic moral competence. The chapter proposes that the deeper and more persisting significance of empathy to morality can be understood from a developmental perspective. Looking to mentalization-based attachment theory allows us to understand how empathic mirroring enters into our earliest intimate, interactions with other persons, securing our default commitment to recognizing their reality as bound up with our own. In this way, empathy constitutes one of the natural foundations on which the more complex architecture of moral experience is constructed. Attachment theory helps us to understand the indispensable role empathy plays at the beginning of the circuitous road to virtue. (shrink)

In this paper recognition is taken to be a question of social ontology, regarding the very constitution of the social space of interaction. I concentrate on the question of whether certain aspects of the theory of recognition can be translated into the terms of a socio-ontological paradigm: to do so, I make reference to some conceptual tools derived from John Searle's social ontology and Robert Brandom's normative pragmatics. My strategy consists in showing that recognitive phenomena cannot be isolated (...) at the level of human interaction, and are, rather, in part proper to animal interaction as well. Furthermore, it is argued that recognitive powers are constitutive powers more basic than deontic ones and play a role much broader than the one they in fact assume in Searle and in Brandom. (shrink)

The discursive character of human rights prevents a precise summary of historical origin, rationale, or definition outside of the various codifications in religious texts, secular philosophies, founding national documents, and international treaties, charters, conventions, covenants, declarations, and protocols. Regarding the objects of human rights, we can speak of a “foundational five” 1) Personal security 2) Material subsistence 3) Elemental equality 4) Personal Freedom and 5) Recognition as a member of the human community. Despite, or perhaps because (...) of its multivalence, the concept of human rights has been criticized as “foundationalist,” “essentialist,” or “ethnocentric”—its universalism being used as a weapon against itself by critics of cultural imperialism. Even the tolerance discourses so popular in critical theory, however, gain their normative force from the same basic notion of individual or group rights. Notwithstanding these rhetorical abuses, the concept of human rights has proved robust as a doctrine of equality owing to its openness to a pluralism of justifications grounding the basic “goods” agreed as necessary for human development. (shrink)

Emotion detection and management have emerged as pivotal areas in humancomputer interaction, offering potential applications in healthcare, entertainment, and customer service. This study explores the use of deep learning (DL) models to enhance emotion recognition accuracy and enable effective emotion regulation mechanisms. By leveraging large datasets of facial expressions, voice tones, and physiological signals, we train deep neural networks to recognize a wide array of emotions with high precision. The proposed system integrates emotion recognition with adaptive management strategies (...) that provide personalized feedback and interventions based on detected emotional states. Our approach surpasses traditional machine learning methods, demonstrating superior performance in real-time applications. (shrink)

Just as humans can draw conclusions responsibly or irresponsibly, so too can computers. Machine learning systems that have been trained on data sets that include irresponsible judgments are likely to yield irresponsible predictions as outputs. In this paper I focus on a particular kind of inference a computer system might make: identification of the intentions with which a person acted on the basis of photographic evidence. Such inferences are liable to be morally objectionable, because of a way in which they (...) are presumptuous. After elaborating this moral concern, I explore the possibility that carefully procuring the training data for image recognition systems could ensure that the systems avoid the problem. The lesson of this paper extends beyond just the particular case of image recognition systems and the challenge of responsibly identifying a person’s intentions. Reflection on this particular case demonstrates the importance (as well as the difficulty) of evaluating machine learning systems and their training data from the standpoint of moral considerations that are not encompassed by ordinary assessments of predictive accuracy. (shrink)

This essay examines Paul Ricœur’s views on recognition in his book The Course of Recognition . It highlights those aspects that are in some sense surprising, in relation to his previous publications and the general debates on Hegelian Anerkennung and the politics of recognition. After an overview of Ricœur’s book, the paper examines the meaning of “recognition” in Ricœur’s own proposal, in the dictionaries Ricœur uses, and in the contemporary debates. Then it takes a closer look (...) at the ideas of recognition as identification and as “taking as true.” Then it turns to recognition (attestation) of oneself, in light of the distinction between human constants (and the question “What am I?”), and human variables (and the question “Who Am I?”). The last section concerns the dialectics of struggles for recognition and states of peace, and the internal relationship between the contents of a normative demand and what counts as satisfying the demand. . (shrink)

This paper presents a Human Emotion Detection system utilizing Convolutional Neural Networks (CNN). The model is trained on facial expression data to classify various human emotions such as happiness, sadness, anger, and surprise. The CNN approach allows the system to automatically learn features that distinguish different emotions. We describe the model architecture, data preprocessing, and training process in detail. Key results demonstrate the system's high accuracy in detecting emotions in real-time applications. This work highlights the potential of CNNs (...) in emotion recognition and its implications for applications in human-computer interaction, security, and behavioral analysis. (shrink)

. Speech Emotion Recognition (SER) is an interdisciplinary field that leverages signal processing and machine learning techniques to identify and classify emotions conveyed through speech. In recent years, SER has gained significant attention due to its potential applications in human-computer interaction, healthcare, education, and customer service. Emotions such as happiness, anger, sadness, fear, surprise, and disgust can be inferred from various acoustic features including pitch, intensity, speech rate, and spectral characteristics. However, accurately recognizing emotions from speech is challenging (...) due to factors such as speaker variability, cultural differences, background noise, and the subtleties of emotional expression. This paper explores the state-of-the-art methodologies for speech emotion recognition, with an emphasis on deep learning approaches, feature extraction techniques, and the use of large-scale emotion-labeled datasets. We review traditional approaches, such as hidden Markov models and support vector machines, and compare them with modern advancements in neural networks, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Additionally, we discuss the challenges in the field, including emotion detection in spontaneous speech, the impact of cross-lingual and crosscultural recognition, and the limitations of current benchmarks. Finally, we provide an overview of real-world applications of SER systems, including their integration into virtual assistants, mental health diagnostics, and interactive entertainment. We conclude by highlighting emerging trends in multimodal emotion recognition and the potential for future research in improving the robustness and accuracy of SER systems in diverse environments. (shrink)

Human ecology, it is argued, even when embracing recent developments in the natural sciences and granting a place to culture, tends to justify excessively pessimistic conclusions about the prospects for creating a sustainable world order. This is illustrated through a study of the work and assumptions of Richard Newbold Adams and Stephen Bunker. It is argued that embracing hierarchy theory as this has been proposed and elaborated by Herbert Simon, Howard Pattee, T.F.H. Allen and others enables human ecology (...) to conceive humans both as part of nature and as cultural beings in a way that gives due regard to the ethical development of humanity. That is, ethical constraints need no longer be conceived of as 'unnatural'. Characterizing the nature of such constraints, conceived of as emerging from the Hegelian 'struggle for recognition', this argument is shown to justify some optimism about the future, and to give some idea of how society should be organized if ethical constraints, able to constrain humanity’s relationship to the rest of nature, are to prevail. (shrink)

Symmetry in biological and physical systems is a product of self-organization driven by evolutionary processes, or mechanical systems under constraints. Symmetry-based feature extraction or representation by neural networks may unravel the most informative contents in large image databases. Despite significant achievements of artificial intelligence in recognition and classification of regular patterns, the problem of uncertainty remains a major challenge in ambiguous data. In this study, we present an artificial neural network that detects symmetry uncertainty states in human observers. (...) To this end, we exploit a neural network metric in the output of a biologically inspired Self- Organizing Map Quantization Error (SOM-QE). Shape pairs with perfect geometry mirror symmetry but a non-homogenous appearance, caused by local variations in hue, saturation, or lightness within and/or across the shapes in a given pair produce, as shown here, a longer choice response time (RT) for “yes” responses relative to symmetry. These data are consistently mirrored by the variations in the SOM-QE from unsupervised neural network analysis of the same stimulus images. The neural network metric is thus capable of detecting and scaling human symmetry uncertainty in response to patterns. Such capacity is tightly linked to the metric’s proven selectivity to local contrast and color variations in large and highly complex image data. (shrink)

Spinoza attributes mentality to all things existing in nature. He claims that each thing has a mind that perceives everything that happens in the body. Against this panpsychist background, it is unclear how consciousness relates to the nature of the mind. This study focuses on Spinoza’s account of the conscious mind and its operations. It builds on the hypothesis that Spinoza’s panpsychism can be interpreted as a self-consistent philosophical position. It aims at providing answers to the following questions: what is (...) consciousness, for Spinoza, and what are the causes that determine its presence in nature? How can human and non-human individuals be distinguished on account of their mentality? How can Spinoza conceive of the human mind as consisting entirely of conscious perceptions? And how, according to Spinoza’s mind-body parallelism, is the content of consciousness determined so that it reflects in thought the order and connection of the actions and passions of the body? To address these questions, I first determine what Spinoza’s notion of “consciousness” is and how he uses it. Then, I investigate whether he has a theory of recognition capable of accounting for specifically human behaviour and mentality. Further, I examine his description of memory and the way in which memory shapes the framework of human conscious thought. Finally, I look for an account of discursive reasoning, capable of explaining the existence of activities of the mind that, by operating on the content provided by memory, preserve themselves through time and change. (shrink)

Emotion detection and management have emerged as pivotal areas in humancomputer interaction, offering potential applications in healthcare, entertainment, and customer service. This study explores the use of deep learning (DL) models to enhance emotion recognition accuracy and enable effective emotion regulation mechanisms. By leveraging large datasets of facial expressions, voice tones, and physiological signals, we train deep neural networks to recognize a wide array of emotions with high precision. The proposed system integrates emotion recognition with adaptive management strategies (...) that provide personalized feedback and interventions based on detected emotional states. Our approach surpasses traditional machine learning methods, demonstrating superior performance in real-time applications. (shrink)

In _"I that is We, We that is I"_ leading scholars analyze the many facets of Hegel’s formula for the intersubjective structure of human life and explores its relevance for debates on social ontology, recognition, action theory, constructivism, and naturalism.

Emotion detection and management have emerged as pivotal areas in humancomputer interaction, offering potential applications in healthcare, entertainment, and customer service. This study explores the use of deep learning (DL) models to enhance emotion recognition accuracy and enable effective emotion regulation mechanisms. By leveraging large datasets of facial expressions, voice tones, and physiological signals, we train deep neural networks to recognize a wide array of emotions with high precision. The proposed system integrates emotion recognition with adaptive management strategies (...) that provide personalized feedback and interventions based on detected emotional states. Our approach surpasses traditional machine learning methods, demonstrating superior performance in real-time applications. We also explore the ethical implications and challenges associated with deploying such systems, particularly regarding privacy concerns and the potential for misuse. Through extensive experiments, our model achieved an average accuracy rate of 92%, highlighting its robustness across different environments and user demographics. This research not only contributes to the growing field of affective computing but also lays the groundwork for future developments in emotionally intelligent systems. (shrink)

In a world where increasingly more voices from different geographical areas talk speak about equality between people, religions are called to uphold and preach human dignity and rights of all people, without taking account of race, sex or religion. In the interreligious dialog, the meetings between representatives of Christianity and Islam have multiplied considerably and they deal with themes analyzing preaching and defending human rights at all levels of life. From the preceding discussion it is clear that the (...) human rights issue is quite sensitive, especially after the latest political, economic and social events that have shaken the world in which we live. After the period of time that the proclamation and recognition of global human rights were made as contained in the various international documents, it was passed into a new phase where the followers of different religions should work together for human dignity and human rights. (shrink)

This paper investigates how human interactions with AI-powered chatbots may offend human dignity. Current chatbots, driven by large language models (LLMs), mimic human linguistic behaviour but lack the moral and rational capacities essential for genuine interpersonal respect. Human beings are prone to anthropomorphise chatbots—indeed, chatbots appear to be deliberately designed to elicit that response. As a result, human beings’ behaviour toward chatbots often resembles behaviours typical of interaction between moral agents. Drawing on a second-personal, relational (...) account of dignity, we argue that interacting with chatbots in this way is incompatible with the dignity of users. We show that, since second-personal respect is premised on reciprocal recognition of second-personal moral authority, behaving towards chatbots in ways that convey second-personal respect is bound to misfire in morally problematic ways, given the lack of reciprocity. Consequently, such chatbot interactions amount to subtle but significant violations of self-respect—the respect we are dutybound to show for our own dignity. We illustrate this by discussing four actual chatbot use cases (information retrieval, customer service, advising, and companionship), and propound that the increasing societal pressure to engage in such interactions with chatbots poses a hitherto underappreciated threat to human dignity. (shrink)

I argue that we get an account of social invisibility that best fits our practice of moral complaint if we reject orthodoxy and accept a quite different view of what it is to see another person as a person. On my view, seeing a person as a person is inseparable from caring about her in person-specific ways—hence from a disposition to a range of interpersonal emotional responses to her point of view. Thus, a person’s humanity is invisible to us, according (...) to this picture, when we are unreceptive to her power to influence our attitudes and will through her own attitudes and will. (shrink)

Speech Emotion Recognition (SER) is an essential component in human-computer interaction, enabling systems to understand and respond to human emotions. Traditional emotion recognition methods often rely on handcrafted features, which can be limited in capturing the full complexity of emotional cues. In contrast, deep learning approaches, particularly convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks, offer more robust solutions by automatically learning hierarchical features from raw audio data. This paper reviews (...) recent advancements in deep learning-based speech emotion recognition, discusses the various architectures used, and evaluates the challenges in real-world applications. We focus on the application of deep learning models to enhance the accuracy and robustness of SER, particularly in noisy environments. The study also discusses future directions for research, including multimodal emotion recognition and transfer learning to address challenges such as small datasets and cross-domain applications. (shrink)

This paper is about the modern-day problem of human alienation and fulfillment in work from the perspective of the Catholic social thought. It analyses the symptoms and causes of work alienation, the meaning of work and its significance in the individual’s quest for fulfillment, and how the Catholic social teachings can shed light on the problems involved in transforming the world of work. Alienation in work affects one’s subjective and psychological fulfillment, but it is not ultimately dependent on material (...) culture or economic models. The problem of alienation in work cannot be dealt with by simply modifying the production process or the wage system, although these are factors that alienate people even more. Social problems cannot be solved without light of faith and the recognition of the moral order that is rooted in God. In the final analysis, alienation is not simply the loss of meaning in human activities. It is the loss of life’s meaning and man’s estrangement from his own authentic nature, including his reason for being and final end, that results from the rejection of God and His teachings. What Catholicism provides is a combination of economic, psychological, moral, social, and spiritual motives for work that will make it personally fulfilling. (shrink)

The 2024 Global Religious Recognition Report is a compilation of the most recent available data on recognition and registration impacting conditions of religious freedom throughout the world. Each page of the 259-page report is dedicated to each sovereign state and dependent or disputed territory, including an overview of the constitutional structure, secularity and recognition and registration policies and practices. Detailed explanations of registration policy have been gathered from the Office of International Religious Freedom's International Religious Freedom Report (...) in addition to other credible sources. The RoRB classification for each country and territory has been updated in accordance with the criteria set out in the Spectrum of Religious Recognition (SRR) which was included towards the front of this year's report. This year's report includes an abridged version of Dr Monica Gyimah's article (the full article can be found in Journal of Astronist Studies Volume 1 Issue 1) that highlights recognition and registration issues specifically impacting indigenous religious communities. (shrink)

Artificial intelligence (AI), deep learning, machine learning and neural networks represent extremely exciting and powerful machine learning-based techniques used to solve many real-world problems. Artificial intelligence is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. For example, recognition, problem-solving, learning, visual perception, decision-making and planning. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Deep (...) learning is a technique used to generate face detection and recognize it for real or fake by using profile images and determine the differences between them. In this study, we used deep learning techniques to generate models for Real and Fake face detection. The goal is determining a suitable way to detect real and fake faces. The model was designed and implemented, including both Dataset of images: Real and Fake faces detection through the use of Deep learning algorithms based on neural networks. We have trained dataset which consists of 9,000 images for total in 150 epochs, and got the ResNet50 model to be the best model of network architectures used with 100% training accuracy, 99.18% validation accuracy, training loss 0.0003, validation loss 0.0265, and testing accuracy 99%. (shrink)

If mourning is a proof of value, how could it be appropriate to move on when one has truly loved and valued someone? Assuming that it is appropriate to value others extremely highly – perhaps even infinitely – how could it ever make sense for one’s grief to abate? Do loss and proper mourning thus present us with a choice between living well and loving well? This paper aims to vindicate the pressing nature of these questions while arguing that we (...) do not need to choose between living well and loving well. It discusses how these questions become pressing, some empirical research seeming to imply that humans do not tend to love well at all, and finally, offers an explanation of why ceasing to mourn need not be a failure of love. In particular, we offer an account of how ceasing to mourn can be a fitting response to the object of love, as well as compatible with living well. (shrink)