This research work presents a cost-effective facial recognition alert system using the ESP32 microcontroller to enhance real-time security. The system integrates high-resolution cameras with Python’s facial recognition libraries to identify individuals. When an unknown face is detected, it triggers an immediate alert via the ESP32, activating an alarm. This solution is both scalable and affordable, making advanced security accessible to small businesses and residential areas. The system improves overall security by automating surveillance, reducing the need for (...) manual monitoring. (shrink)

This article examines how facial recognition technology reshapes the philosophical debate over the ethics of video surveillance. When video surveillance is augmented with facial recognition, the data collected is no longer anonymous, and the data can be aggregated to produce detailed psychological profiles. I argue that – as this non-anonymous data of people’s mundane activities is collected – unjust risks of harm are imposed upon individuals. In addition, this technology can be used to catalogue all who (...) publicly participate in political, religious, and socially stigmatised activities, and I argue that this would undermine central interests of liberal democracies. I examine the degree to which the interests of individuals and the societal interests of liberal democracies to maintain people’s obscurity while in public coincide with privacy interests, as popularly understood, and conclude that there is a practical need to articulate a novel right to obscurity to protect the interests of liberal democratic societies. (shrink)

For more than two decades, police in the United States have used facial recognition to surveil civilians. Local police departments deploy facial recognition technology to identify protestors’ faces while federal law enforcement agencies quietly amass driver’s license and social media photos to build databases containing billions of faces. Yet, despite the widespread use of facial recognition in law enforcement, there are neither federal laws governing the deployment of this technology nor regulations settings standards with (...) respect to its development. To make matters worse, the Fourth Amendment—intended to limit police power and enacted to protect against unreasonable searches—has struggled to rein in new surveillance technologies since its inception. -/- This Article examines the Supreme Court’s Fourth Amendment jurisprudence leading up to Carpenter v. United States and suggests that the Court is reinterpreting the amendment for the digital age. Still, the too-slow expansion of privacy protections raises challenging questions about racial bias, the legitimacy of police power, and ethical issues in artificial intelligence design. This Article proposes the development of an algorithmic auditing and accountability market that not only sets standards for AI development and limitations on governmental use of facial recognition but encourages collaboration between public interest technologists and regulators. Beyond the necessary changes to the technological and legal landscape, the current system of policing must also be reevaluated if hard-won civil liberties are to endure. (shrink)

In this paper, we assess the possibility of a critical knowledge of technology. In the case of facial recognition systems, 'FRS', we argue that behaviorism underlies this technology, and analyze the debate about behaviorism to show the lack of consensus about its theoretical foundations. In particular we analyze the structure of knowledge generated by FRS as affected by a technological behaviorism. Our last point is a suggestion to use the concept of dasiacritical knowledgepsila, which we borrow from Ladriere, (...) to question and challenge the technological finalities and the foundational scientific theory underlying FRS. (shrink)

We assess the state of thinking about gender identities in computer vision through an analysis of how research papers in gender and facial recognition are designed, what claims they make about trans and non-binary people, what values they espouse, and what they describe as ongoing challenges for the field. In our corpus of 50 research papers, the seven papers that consider trans and non-binary identities use questionable assumptions about medicalization as a measure of transness, about gender transition as (...) a linear and bounded process, and about the concept of gender deception. Otherwise, non-normative gender identities are absent and their consideration is in fact hindered by prevailing research values, particularly deeply embedded ones such as performance and accuracy. We point out how the use of shared datasets calcifies binary conceptions of gender. In the way that the field of computer vision conceives of ongoing challenges for its research, it does not yet face questions that trans and non-binary user experiences pose and often falls back on biologically essentialist notions of sex classification. We make two recommendations: that computer vision researchers undertake interdisciplinary work with researchers who study gender as a socio-cultural phenomenon, and that journal editors and conference organizers do the same in peer review and conference acceptance processes. (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)

Investigators increasingly need high quality face photographs that they can use in service of their scholarly pursuits—whether serving as experimental stimuli or to benchmark face recognition algorithms. Up to now, an index of known face databases, their features, and how to access them has not been available. This absence has had at least two negative repercussions: First, without alternatives, some researchers may have used face databases that are widely known but not optimal for their research. Second, a reliance on (...) databases comprised only of young white faces will lead to science that isn't representative of all the people whose tax contributions, in many cases, make that research possible. The “Face Image Meta-Database” (fIMDb) provides researchers with the tools to find the face images best suited to their research, with filters to locate databases with people of a varied racial and ethnic backgrounds and ages. Problems of representation in face databases are not restricted to race and ethnicity or age – there is a dearth of databases with faces that have visible differences (e.g., scars, port wine stains, and cleft lip and palate). A well-characterized database is needed to support programmatic research into perceivers' attitudes, behaviors, and neural responses to anomalous faces. The “ChatLab Facial Anomaly Database” (CFAD) was constructed to fill this gap, with photographs of faces with visible differences of various types, etiologies, sizes, locations, and that depict individuals from various ethnic backgrounds and age groups. Both the fIMDb and CFAD are available from cliffordworkman[dot]com/resources/. (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)

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)

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)

Cheating is a growing academic and ethical concern in higher education. This article examines the rise of artificial intelligence (AI) generative chatbots for use in education and provides a review of research literature and relevant scholarship concerning the cheating-related issues involved and their implications for pedagogy. The technological “arms race” that involves cheating-detection system developers versus technology savvy students is attracting increased attention to cheating. AI has added new dimensions to academic cheating challenges as students (as well as faculty and (...) staff) can easily access powerful systems for generating content that can be presented in assignments, exams, or published papers as their own. AI methodology is also providing some emerging anti-cheating approaches, including facial recognition and water- marking. This article provides an overview of human/AI collaboration approaches and frames some educational misuses of such AI generative systems as ChatGPT and Bard as forms of “misattributed co-authorship.” As with other kinds of collaborations, the work that students produce with AI assistance can be presented in transparent and straightforward modes or (unfortunately) in opaquer and ethically-problematic ways. However, rather than just for catching or entrapping students, the emerging varieties of technological cheating-detection strategies can be used to assist students in learning how to document and attribute properly their AI-empowered as well as human-human collaborations. Construing misuses of AI generative systems as misattributed co-authorship can recognize the growing capabilities of these tools and how stressing responsible and mindful usage by students can help prepare them for a highly collaborative, AI-saturated future. (shrink)

The paper leans on a movie cult from the 1960s, Blow-Up (1966) by Michelangelo Antonioni, of which a famous sequence is often mentioned, the one in which the protagonist, the photographer Thomas (considered here as a "conceptual character"), repeatedly enlarged the photographs he made in a park, in order to find an answer to the mystery surrounding the murder of a man: magnification which leads, on the one hand, to a gradual loss of definition of images, with the grain of (...) the picture becoming more and more evident, but also, on the other, in the emergence, from the very material of the print, of a fundamental detail that will help solve the mystery. What interests is the link between indicative referentiality and evidence documentary, between degrees of definition and authentication powers. The paper also analyzes the links that intertwine, in the film, between the photographs of Thomas (by Don McCullin) and paintings painted by another character of the movie, Bill (directed by Ian Stephenson), but also, outside the film, with all a series of examples from artistic production and visual culture of the time: very low definition images of the Kennedy assassination in Dallas (the famous Zapruder Film), the portrait of Lee Harvey Oswald directed by Sigmar Polke by simulating the halftone technique, the war photographs of Don McCullin and David Bailey's Fashion Photographs, Random Earths Studies by Mark Boyle and Joan Hills, Materialologies and Texturologies by Jean Dubuffet, as well as Zen for Film by Nam June Paik. Fimiani's text addresses also two contemporary installations which have tried to return to the issues from the photographic sequence of Antonioni's film: Blow-Up Blow-Up (2010) by Joan Fontcuberta and Portrait Landscape (from the Object Classifier series) (2015) by John Houck, an installation in which photograms of Blow-Up are analyzed through facial recognition software. (shrink)

A subdiscipline has emerged around AI ethics, which is comprised of a wide array of individuals: computer scientists, ethicists, cognitive scientists, roboticists, legal professionals, economists, sociologists, gender, and race theorists. This has led to a very interesting branch of research, addressing issues surrounding the development and use of AI. This chapter will give a very brief snapshot of some of the most pertinent ethical concerns. Many of the issues in the Big Data Ethics chapter in this collection are often applicable (...) to AI ethics, because of the data that these technologies retrieve, store, and use, so will not be duplicated here.1 -/- While data-related issues are not new or unique to AI, AI does hold the potential to dramatically retrieve and analyze data that would not be possible otherwise. Data is being used in unique and transformative ways, such as the use of facial recognition to identify individuals from photos or CCTV; AI robots to retrieve live video feed about the patient(s) that it is monitoring; or in new ways, such as self-driving cars collecting an abundance of data about our surroundings, how we drive, and passengers in the car. There is the potential to infringe on individuals’ privacy, restriction of resources, or at worst, the creation of a surveillance society. (shrink)

Digital technologies are becoming an essential tool in modern trade, contributing to its development and change. This article examines global trends in using digital technologies in trade and their potential impact on the Ukrainian market. The research shows that e-commerce, mobile shopping experience, smart technologies, and data analytics are key areas that affect consumers and business processes. The authors of the article analyze the impact of digital technologies on consumers, pointing to the growth of e-commerce and the convenience of online (...) shopping. Smart technologies such as facial recognition, chatbots, and virtual reality are becoming increasingly common in trade processes. The authors discuss the potential benefits of digital technologies for the Ukrainian market and point out the need to adapt and implement these innovations. (shrink)

Emotion recognition systems (ERS) offer the ability to identify the emotions of others, based on an analysis of their facial expressions and regardless of culture, ethnicity, context, gender or social class. By claiming universalism in the expression as well as in the recognition of emotions, we believe that ERS present significant risks of causing great harm to some individuals, in addition to targeting, in some contexts, specific social groups. Drawing on a wide range of multidisciplinary knowledge - (...) including philosophy, psychology, computer science and anthropology - this research project aims to identify the current limitations of ERS and the main risks that their use brings, with the goal of providing a clear and robust analysis of the use of ERS and their contribution to greater social justice. Pointing to technical limitations, we refute, on the one hand, the idea that ERS are able to prove the causal link between specific emotions and specific facial expressions. We support our argument with evidence of the inability of ERS to distinguish facial expressions of emotions from facial expressions as communication signals. On the other hand, due to the contextual and cultural limitations of current ERS, we refute the idea that ERS are able to recognise, with equal performance, the emotions of individuals, regardless of their culture, ethnicity, gender and social class. Our ethical analysis shows that the risks are considerably more numerous and important than the benefits that could be derived from using ERS. However, we have separated out a specific type of ERS, whose use is limited to the field of care, and which shows a remarkable potential to actively participate in social justice, not only by complying with the minimum requirements, but also by meeting the criterion of beneficence. While ERS currently pose significant risks, it is possible to consider the potential for specific types to participate in social justice and provide emotional and psychological support and assistance to certain members of society. (shrink)

Current research on the origin of DNA and RNA, viruses, and mobile genetic elements prompts a re-evaluation of the origin and nature of genetic material as the driving force behind evolutionary novelty. While scholars used to think that novel features resulted from random genetic mutations of an individual’s specific genome, today we recognize the important role that acquired viruses and mobile genetic elements have played in introducing evolutionary novelty within the genomes of species. Viral infections and subviral RNAs can enter (...) the host genome and persist as genetic regulatory networks. Persistent viral infections are also important to understand the split between great apes and humans. Nearly all mammals and nonhuman primates rely on olfaction, i.e., chemoreception as the basis of the sense of smell for social recognition, group membership, and the coordination of organized social life. Humans, however, evolved other means to establish social bonding, because several infection waves by endogenous retroviruses caused a loss of odor receptors in human ancestors. The human independence from olfaction for social recognition was in turn one driver of the rather abrupt human transition to dependence on visual information, gesture production, and facial recognition that are at the roots of language-based communication. (shrink)

In recent years there has been a transition within society towards governments much more permeated by technology. One of the areas where this technological increase has been seen is in security processes. Currently, under the justification of a safer world, perpetual surveillance is given to the population through facial recognition cameras and data collection. For this reason, this research work seeks to explain how securitisation processes have become more complex to give way to much broader subjective prevention of (...) security problems. This research was carried out using a qualitative approach with a bibliographic review. Given these facts, it was found that this complex form of securitisation has led to transcending discursive acts and ending up institutionalising this securitisation. (shrink)

Abstract: Cheating behaviors have been construed as a continuing and somewhat vexing issue for academic institutions as they increasingly conduct educational processes online and impose metrics on instructional evaluation. Research, development, and implementation initiatives on cheating detection have gained new dimensions in the advent of artificial intelligence (AI) applications; they have also engendered special challenges in terms of their social, ethical, and cultural implications. An assortment of commercial cheating–detection systems have been injected into educational contexts with little input on the (...) part of relevant stakeholders. This paper expands several specific cases of how systems for the detection of cheating have recently been implemented in higher education institutions in the US and UK. It investigates how such vehicles as wearable technologies, eye scanning, and keystroke capturing are being used to collect the data used for anti-cheating initiatives, often involving systems that have not gone through rigorous testing and evaluation for their validity and potential educational impacts. The paper discusses accountability- and policy-related issues concerning the outsourcing of cheating detection in institutional settings in the light of these emerging technological practices as well as student resistance against the systems involved. The cheating-detection practices can place students in a disempowered, asymmetrical position that is often at substantial variance with their cultural backgrounds. (shrink)

Social cognition researchers have become increasingly interested in the ways that behavioral, physiological, and neural coupling facilitate social interaction and interpersonal understanding. We distinguish two ways of conceptualizing the role of such coupling processes in social cognition: strong and moderate interactionism. According to strong interactionism (SI), low-level coupling processes are alternatives to higher-level individual cognitive processes; the former at least sometimes render the latter superfluous. Moderate interactionism (MI) on the other hand, is an integrative approach. Its guiding assumption is that (...) higher-level cognitive processes are likely to have been shaped by the need to coordinate, modulate, and extract information from low-level coupling processes. In this paper, we present a case study on Möbius Syndrome (MS) in order to contrast SI and MI. We show how MS—a form of congenital bilateral facial paralysis—can be a fruitful source of insight for research exploring the relation between high-level cognition and low-level coupling. Lacking a capacity for facial expression, individuals with MS are deprived of a primary channel for gestural coupling. According to SI, they lack an essential enabling feature for social interaction and interpersonal understanding more generally and thus ought to exhibit severe deficits in these areas. We challenge SI’s prediction and show how MS cases offer compelling reasons for instead adopting MI’s pluralistic model of social interaction and interpersonal understanding. We conclude that investigations of coupling processes within social interaction should inform rather than marginalize or eliminate investigation of higher-level individual cognition. (shrink)

The author has extensive law enforcement experience and the paper is intended to provoke thought on the use of technology as it pertains to information sharing between the police and the private sector. -/- As the world edges closer and closer to the convergence of man and machine, the human capacity to retrieve information is increasing by leaps and bounds. We are on the verge of knowing everything and anything there is to know, and literally in the blink of an (...) eye! -/- This means that police will have the capacity to learn everything about everyone with the only restriction being privacy legislation. But it also means that those involved in immoral, unlawful or illegal activity will have that same capacity and with no such restriction. ‘Bad Brother’ may be far more dangerous than ‘Big Brother!' -/- The global community requires a secure and credible system to retrieve and assess all of the information ‘generally available to the public.' A system that will strive to keep ‘Big Brother’ in check and ‘Bad Brother’ out, all the while providing a means of alerting citizens to genuine risks or to dangerous people. Such as system would help diffuse the systemic inaccurate and harmful profiling that is often based on rumours and innuendo. -/- There is an identified public-private partnership opportunity. A chance to work with privacy advocate groups and background checking private companies to define, design and deliver on something that will be of immense benefit to citizens around the globe. -/- We have an opportunity to create something that will work to ensure that only the best information gets used and in a moralistic, lawful and legal way! Technology continues to move forward at incomprehensible speeds – failure to act could have serious consequences. (shrink)

Aesthetic responses to human embodiment play important roles in our individual and social flourishing. Our ability to feel comfortable with and even take pleasure in our own embodiment contributes to our well-being, and our capacity to appreciate the embodiment of others contributes to our full recognition of them as persons and to their feeling of being valued and at home in the world. We are socialized into practices of appreciating bodily beauty: the facial and bodily qualities that a (...) culture picks out for special valuing. But these practices are deeply intertwined with objectionable social hierarchies. I argue that we should can and should opt out of practices of appreciating bodily beauty, despite the pleasures they afford, and choose instead to participate in other practices. Practices of appreciating the variety of aesthetic affordances of human bodies in all their diversity are both aesthetically rewarding and more compatible with our duties to ourselves and each other. (shrink)

In this paper I argue that the detection of emotional expressions is, in its early stages, informationally encapsulated. I clarify and defend such a view via the appeal to data from social perception on the visual processing of faces, bodies, facial and bodily expressions. Encapsulated social perception might exist alongside processes that are cognitively penetrated, and that have to do with recognition and categorization, and play a central evolutionary function in preparing early and rapid responses to the emotional (...) stimuli. (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)

So-called ‘facial’ cumshots, when a man ejaculates onto a woman’s face, are very common in pornography. While they are frequently said to be degrading and misogynistic, the fact that women are usually shown as enjoying this act should make us think again. Facials are instead rooted in male insecurity: of a fear that an aspect of how men orgasm—semen—is disgusting to women. By contrast, the fantasy, which pornography makes vivid, is that women might not just tolerate but celebrate and (...) eroticize both ejaculation and its product. The way mainstream pornography presents facials may often be misogynistic, but it does not have to be, and it is not always. -/- NOTE: This may not be a philosophy paper. My intention is to submit it to a sexuality studies journal. (shrink)

An analysis of the identity issues involved in facial allograft transplantation is provided in this paper. The identity issues involved in organ transplantation in general, under both theoretical accounts of personal identity and subjective accounts provided by organ recipients, are examined. It is argued that the identity issues involved in facial allograft transplantation are similar to those involved in organ transplantation in general, but much stronger because the face is so closely linked with personal identity. Recipients of (...) class='Hi'>facial allograft transplantation have the potential to feel that their identity is a mix between their own and the donor’s, and the donor’s family is potentially likely to feel that their loved one ‘‘lives on’’. It is also argued that facial allograft transplantation allows the recipients to regain an identity, because they can now be seen in the social world. Moreover, they may regain expressivity, allowing for them to be seen even more by others, and to regain an identity to an even greater extent. Informing both recipients and donors about the role that identity plays in facial allograft transplantation could enhance the consent process for facial allograft transplantation and donation. (shrink)

This chapter argues that emotion recognition is a skill. A skill perspective on emotion recognition draws attention to underappreciated features of this cornerstone of social cognition. Skills have a number of characteristic features. For example, they are improvable, practical, and flexible. Emotion recognition has these features as well. Leading theories of emotion recognition often draw inadequate attention to these features. The chapter advances a theory of emotion recognition that is better suited to this purpose. It (...) proposes that emotion recognition involves scripts. Emotion scripts describe how people are likely to behave in different emotional contexts. Scripts can be improved with the addition of richer social knowledge, they are practical in that they describe and guide social interaction, and they are flexible because they must accommodate the fact that emotions have different behavioral impact depending on the agents involved and the circumstances at play. Learning to recognize emotions through scripts qualifies as a skill. (shrink)

This work analyzes how the internal point of view, which represents the perspective of the participant in the legal domain, can be understood within a Hartian framework. It critically examines how legal conventionalism has dealt with this issue. In particular, it criticizes the way in which contemporary conventionalists represent the perspective of participants in legal practice on the basis of cognitive mental states. It also criticizes the way in which they understand how the rule of recognition constitutes the practice. (...) To address these problems, a model based on the philosophy of recognition is presented, showing how its historicity and the way it understands conflict may help to represent the participants' perspective from a practical point of view. (shrink)

Background: This study tested the core tenets of how facial scars are perceived by characterizing layperson response to faces with scars. The authors predicted that scars closer to highly viewed structures of the face (i.e., upper lip and lower lid), scars aligned against resting facial tension lines, and scars in the middle of anatomical subunits of the face would be rated less favorably. Methods: -/- Volunteers aged 18 years and older from the United States were recruited through Amazon’s (...) Mechanical Turk to complete a face rating survey. Scars were digitally added in different locations and orientations for a total of 14 unique scars added to each face. Each participant rated 50 different faces on confidence, friendliness, and attractiveness. Data were analyzed using linear mixed effects models. Results: -/- A total of 88,850 ratings [82,990 scarred (93.4 percent)] for attractiveness, friendliness, and confidence were analyzed. In univariate linear mixed effects models, the presence of a facial scar did not significantly impact attractiveness (β = 0.016, SE = 0.014, z = 1.089, p = 0.276). A second set of linear mixed effects models identified interactions between location, subunit placement, and orientation to facial tension lines. Scars located on the lower lid mid subunit perpendicular to facial tension lines were rated less attractive (β = −0.065, SE = 0.028, z = −2.293, p = 0.022). Conclusions: -/- On average, a single well-healed facial scar does not negatively affect first impressions of attractiveness, confidence, or friendliness. Specific scar location and orientation combinations, however, such as a perpendicular scar at the mid-lower eyelid, may result in lower perceived attractiveness, confidence, and friendliness. (shrink)

This article seeks to challenge existing understandings of good work. It does so through a critical exploration of recognitive and craft conceptions of work, which are among the richest and most philosophically nuanced of extant accounts. The recognitive view emphasises work’s recognitive value through the social esteem derived from making a valuable social contribution. But by making recognition foundational, it is unable to appreciate the irreducible ethical significance of the objective quality of one’s work activity. The ‘craft ideal’, by (...) contrast, promises to provide a powerful basis for understanding the importance of rich, rewarding, and morally educative activities, but is undermined by a laudable but misdirected egalitarian impulse which prevents it from being able to properly distinguish good from bad work. One underlying aim of our discussion is to provoke deeper reflection from business ethicists regarding what we might want from an account of good work. (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)

Recognition is one of the most ambivalent concepts in political and social thought. While it is a condition for individual freedom, the subject’s demand for recognition can be exploited as an instrument for reproducing domination. Axel Honneth addresses this issue and offers the concept of ideological recognition: Recognition is ideological when the addressees accept it from their subjective point of view but is unjustified from an objective point of view. Using the examples of the recognition (...) of femininity, I argue that Honneth’s account fails not only to offer the objective normative standard that delineates between morally justified and unjustified recognition, but also to descriptively explain why the addressees of ideological recognition accept their identities as having positive qualities. To overcome these problems, I provide an alternative, epistemic structural account. First, my account offers the concept of epistemic trust and identifies the objective injustice that Honneth’s account cannot capture. Second, my account offers the concept of structural power and discusses the problem of internalization of problematic identities. Furthermore, I argue that epistemic structural account has theoretical and practical benefits for analyzing domination and advancing the task of critique by explaining the ideological recognition in the case of racial identity, for example. (shrink)

The question I want to answer is if and how the recognition approach, taken from the works of Axel Honneth, could be an adequate framework for addressing the problems of global justice and poverty. My thesis is that such a globalization of the recognition approach rests on the dialectic of relative and absolute elements of recognition. (1) First, I will discuss the relativism of the recognition approach, that it understands recognition as being relative to a (...) certain society or a set of institutions. The same is true for various forms of disrespect such as denigration or exclusion. The recognition approach is a form of internal reconstructive critique, which does not want to refer to absolute or ahistorical standards. (2) Second, I show that this relative understanding of recognition and disrespect rests on an absolute core of recognition, which transcends any given society. In short, this core is the possibility of undistorted self-realization, which is the main and universal element of a good life. Such an absolute core is necessary for distinguishing between justified and unjustified claims of relative recognition. It also serves as the normative benchmark for any society. (3) Finally, I will discuss the relation of these relative and absolute elements of recognition against the background of global justice. Claims of recognition can refer to this absolute core and demand that intersubjective conditions and social relations should change in order to make undistorted self-realization possible. This is the main point of reference for a recognition-based concept of global justice. (shrink)

A substantial article length introduction to a collection on social ontology and mutual recognition.

In this article I describe and defend an account of social freedom grounded in intersubjective recognition. I term this the ‘normative authorisation’ account. It holds that a person enjoys social freedom if she is recognised as a discursive equal able to engage in justificatory dialogue with other social agents about the appropriateness of her reasons for action. I contrast this with Axel Honneth’s theory of social freedom, which I term the ‘self-realisation’ account. According to this view, the affirmative (...) class='Hi'>recognition of others is necessary for obtaining a positive relation-to-self and hence freedom. I identify several problems with this account, which challenge the connection Honneth draws between social recognition and freedom. I show how the normative authorisation account avoids these problems and captures some basic features of our everyday, normative interactions. Finally, I suggest that the account fits well with recent work on epistemic injustice. Specifically, it shows that securing the social conditions of freedom requires ensuring epistemically-just social relations. Thus, the normative authorisation account is an explanatorily powerful, inclusive theory of social freedom that fits well with wider accounts of justice and freedom. Thus, it represents the most promising way of understanding social freedom in terms of interpersonal recognition. (shrink)

Thus far, the recognition approach as described in the works of Axel Honneth has not systematically engaged with the problem of poverty. To fill this gap, the present contribution will focus on poverty conceived as social exclusion in the context of the European Union and probe its moral significance. It will show that this form of social exclusion is morally harmful and wrong from the perspective of the recognition approach. To justify this finding, social exclusion has to fulfil (...) three conditions: (i) it has to be experienced as harmful by the socially excluded, (ii) it has to meet certain objective criteria, and (iii) it has to violate normative claims embedded within society. (shrink)

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)

. The accuracy levels of VGG19 and 3D CNN are compared using the performance metrics. This comparison helps in identifying which model performs better in the task of facial reconstruction from distorted images. Visualizing the results in the form of a graph provides a clear and concise way to understand the comparative performance of the algorithms. The ultimate goal of this project is to develop a system that can accurately reconstruct distorted faces, which can be invaluable in identifying accident (...) victims or assisting in medical treatments. By providing a reliable method for facial reconstruction, this technology can potentially save lives and improve outcomes for individuals involved in accidents. (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)

Recently, following the social and subjective consequences of the neoliberal wave, there seems to be a renewed interest in work as occupying a central place in social and subjective life. For the first time in decades, both sociologists and critical theorists once more again regard work as a major constituent of the subject’s identity and thus as an appropriate object of analysis for those engaged in critique of the social pathologies. The aim of this article is to present a succinct (...) analysis of Axel Honneth’s thoughts on the concept of work and to propose an approach granting it a more substantial role in social theory. To this end, this article will embark upon a reappraisal of the importance of the material and psychological dimensions of the subject’s interactions in the world of work. It aims to demonstrate that the normative demands associated with these dimensions are, like the normative demands of recognition, immanent and universal. In other words, it will argue that the normative ideals related to individuals’ bodily and psychic life (in the workplace and beyond) are not necessarily utopian in the negative sense (abstract and unrealistic). If this is indeed the case, theorists could take these normative demands for emancipation as a guide to analyzing the sociological, political and moral implications of the transition from the ‘Fordist’ to the ‘post-Fordist’ organization of labor. (shrink)

The objective of this article is to see whether desire for recognition might contain an emancipatory aspect. Could this desire be a political ally? The argumentative strategy is to fully acknowledge the oppressive mechanisms at work before trying to find a way to other outcomes, including emancipation, with which desire for recognition has been associated in the tradition from Hegel. Through a re-interpretation of the master-and-slave dialectic, supplemented by sociological research on status expectations, I suggest a way out (...) of the vicious circle, where desire produced by power finds satisfaction through a preexisting other, resulting in an endless dynamic of compulsive conformity and regressive assertion of status. The hold of this dynamic must not be underestimated, yet, as I argue, both desire and what satisfies desire are liable to change, through struggle. The transformation of the generalized other, which provides recognition, is seen to be a crucial feature of all collective struggle. The very source of recognition is transformed, behind the backs of the actors, in turn affecting their desire. This can but must not lead to the emancipatory outcomes which are traditionally tied to recognition in the Hegelian tradition. (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)

Background: Facial proportionality and symmetry are positively associated with perceived levels of facial attractiveness. -/- Objective: The aims of this study were to confirm and extend the association of proportionality with perceived levels of attractiveness and character traits and determine differences in attractiveness and character ratings between "anomalous" and "typical" faces using a large dataset. -/- Methods: Ratings of 597 unique individuals from the Chicago Face Database were used. A formula was developed as a proxy of relative horizontal (...) proportionality, where a proportionality score of "0" indicated perfect proportionality and more negative scores indicated less proportionality. Faces were categorized as "anomalous" or "typical" by 2 independent reviewers based on physical features. -/- Results: Across the ratings for all faces, Spearman correlations revealed greater proportionality was associated with attractiveness ( ρ = 0.292, P < 0.001) and trustworthiness ( ρ = 0.193, P < 0.001), while lesser proportionality was associated with impressions of anger (ρ = 0.132, P = 0.001), dominance (ρ = 0.259, P < 0.001), and threateningness ( ρ = 0.234, P < 0.001). Mann-Whitney U tests revealed the typical cohort had significantly higher levels of proportionality (-13.98 versus -15.14, P = 0.030) and ratings of attractiveness (3.39 versus 2.99, P < 0.001) and trustworthiness (3.48 versus 3.35, P < 0.001). -/- Conclusions: This study demonstrated that facial proportionality is not only significantly associated with higher ratings of attractiveness, but also associated with judgements of trustworthiness. Proportionality plays a role in evoking negative attributions of personality characteristics to people with facial anomalies. (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)

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)

Despite the increasing popularity of Axel Honneth's recognition theory across philosophy and the social sciences, there is almost no philosophical literature on the relation between recognition and poverty from this perspective. In this paper, I am concerned with three questions related to such a reflection. Firstly, I will examine whether and how the recognition approach can contribute to the understanding of poverty. This involves both conceptual and empirical questions and targets the ability of the recognition approach (...) to propose a valid theory of the social world. Secondly, I am interested in figuring out whether and how the recognition approach can help to understand what is wrong about poverty. This means asking about the normative or ethical competence of the recognition approach in regard to poverty. Thirdly, the recognition approach claims to transcend theory and research, but also affect the social and political practice. Then the question arises as to whether and how it can help to design or implement poverty reduction or poverty alleviation practices and policies. In discussing these three matters, I aim to show that the recognition approach can in fact be a valuable and important contribution to poverty research and poverty politics. -/- A pesar de la creciente popularidad de la teoría de reconocimiento de Axel Honneth tanto en filosofía como en las ciencias sociales, casi no hay literatura filosófica sobre la relación entre reconocimiento y pobreza desde esta perspectiva. En este artículo abordo tres cuestiones relacionadas con esta reflexión. Primero, examinaré si la teoría del reconocimiento puede contribuir a entender la pobreza y cómo puede hacerlo. En segundo lugar, me interesa establecer si la teoría del reconocimiento puede ayudar a entender qué está mal en relación con la pobreza y cómo puede hacerlo. En tercer lugar, la teoría del reconocimiento pretende trascender el ámbito teórico e investigativo y también incidir en las prácticas sociales y políticas. Entonces surge la pregunta sobre si es posible que ella contribuya a diseñar o implementar prácticas y políticas para la reducción de la pobreza y sobre cómo puede hacerlo. Al discutir estos tres asuntos trataré de mostrar que la teoría del reconocimiento puede efectivamente ser una valiosa e importante contribución a la investigación y a las políticas sobre la pobreza. (shrink)

ABSTRACT This paper examines the question of whether recognition relations are based on trust. Theorists of recognition have acknowledged the ways in which recognition relations make us vulnerable to others but have largely neglected the underlying ‘webs of trust’ in which such relations are embedded. In this paper, I consider the ways in which the theories of recognition developed by Jürgen Habermas and Axel Honneth, not only point to our mutual vulnerability but also implicitly rely upon (...) mutual relations of trust. The paper first offers a novel examination of the relation between recognition, vulnerability and trust in Habermas’ account of communicative action with the aim of arguing that such a consideration helps to elucidate important features of recognition. My claim is that a consideration of the dynamics of recognition and vulnerability in language-use, leads to an acknowledgment of the forms of trust that not only underpin communicative action, but recognition more generally. I conclude by considering the elements that are underplayed in Habermas’ account by turning to an examination of Axel Honneth’s alternative affective theory of recognition, specifically considering the interrelation between vulnerability and recognition. In doing so, I also turn to a consideration of the kind of trust that must be assumed in Honneth’s account of mutual recognition and point to a recognitive notion of trust. (shrink)

An explanation of the seeing of depth both in reality and in pictures requires a dual content theory of visual recognition. In addition, there are two necessary conditions on genuine seeing of depth-related content. First, the right kinds of dependence relations must hold between a physical picture, its content and its perceiver, and second, the perceiver must be in an appropriate, functionally defined perceptual state.

This entry discusses three forms of politics of recognition: politics of universalism, affirmative identity politics and deconstructive politics of difference. It examines the constitutive, causally formative, and normative role that recognition has for the relevant senses of universal standing, particular identity, and difference in these approaches.

In recent years the term ‘recognition’ has been used in ever more variegated theoretical contexts. This article contributes to the discussion of how the concept(s) expressed by this term in different debates should be explicated and understood. For the most part it takes the concept itself as its topic rather than making theoretical use of it. Drawing on important work by Ikäheimo and Laitinen and taking Honneth’s tripartite distinction of recognition into love, respect, and esteem as a starting (...) point it introduces the conceptual distinction between recognitive attitudes, recognitive relations, and recognitive acts, discusses Brandom’s attempt at explaining self-consciousness in terms of reflexive recognition mediated by intersubjective recognitive relations and suggests some critical points on how Butler puts the concept of recognition to work in her conception of ethics. (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)