In recent years, there has been a growing phenomenon of what we like to call technological love, that is, the search for love through the potential of technology, that has resulted in new ways to experience falling in love and sexuality. Many of the online platforms are based on the premise that love is the most important, with social networks and chats reaching their peak because of this, in such a way that they were extrapolated to TV shows or contests (...) like “Love on Top” or “Adam and Eve”. In contrast, news emerges that affirm that an absolute sexual revolution will take place in the coming decades, in which sexual partners may be exchanged for robots or neuronal stimulation programs for personal satisfaction. In this sense, this essay seeks first to reflect on the current situation in which personal relationships are found, and secondly, to deepen the hypothesis of another sexuality, concluding with a reflection on the most radical possibility that will be the annulment of sexuality as an experience of love, that is, becoming a mere robotization of sexuality. In view of this possibility, a sexual revolution will take shape as a phenomenon that cancels the intimacy that characterizes the human. (shrink)

We explore the question of whether machines can infer information about our psychological traits or mental states by observing samples of our behaviour gathered from our online activities. Ongoing technical advances across a range of research communities indicate that machines are now able to access this information, but the extent to which this is possible and the consequent implications have not been well explored. We begin by highlighting the urgency of asking this question, and then explore its conceptual (...) underpinnings, in order to help emphasise the relevant issues. To answer the question, we review a large number of empirical studies, in which samples of behaviour are used to automatically infer a range of psychological constructs, including affect and emotions, aptitudes and skills, attitudes and orientations (e.g. values and sexual orientation), personality, and disorders and conditions (e.g. depression and addiction). We also present a general perspective that can bring these disparate studies together and allow us to think clearly about their philosophical and ethical implications, such as issues related to consent, privacy, and the use of persuasive technologies for controlling human behaviour. (shrink)

In his 1950 paper “Computing Machinery and Intelligence,” Alan Turing proposed that we can determine whether a machine thinks by considering whether it can win at a simple imitation game. A neutral questioner communicates with two different systems – one a machine and a human being – without knowing which is which. If after some reasonable amount of time the machine is able to fool the questioner into identifying it as the human, the machine wins the game, and we should (...) conclude that it thinks. This imitation game, now known as the Turing Test, has been much discussed by philosophers of mind, and for more than half a century now there has been considerable debate about whether it is an adequate test for thinking. But what has not been much discussed are the sexed presuppositions underlying the test. Too often forgotten in the philosophical discussion is the fact that Turing’s imitation game is modeled on an imitation game in which a neutral questioner communicates with two different humans – one a man and one a woman – without knowing which is which. In this original imitation game, the man wins the game if he is able to fool the questioner into identifying him as the woman. In this paper, I explore the implications of this set-up. As I argue, the fact that the Turing test was modeled on a man/woman imitation game seems to have led us astray in various ways in our attempt to conduct an effective investigation and assessment of computer intelligence. (shrink)

In January 2024, non-consensual deepfakes came to public attention with the spread of AI generated sexually abusive images of Taylor Swift. Although this brought new found energy to the debate on what some call non-consensual synthetic intimate images (i.e. images that use technology such as AI or photoshop to make sexual images of a person without their consent), female celebrities like Swift have had deepfakes like these made of them for years. In 2017, a Reddit user named “deepfakes” posted (...) several videos in which he had used opensource machine learning tools to swap the faces of female celebrities on to the faces of female porn actors, displaying what appeared to be live video footage of the celebrity engaging in sex acts she never engaged in. Since that time, deepfake technology has advanced astronomically. What once were choppy sexualized videos are now nearly flawless videos that can be difficult to distinguish from a real video. According to recent research on deepfakes by Sensity AI, this technology has been used primarily on women to create sexual videos. These women’s sexual autonomy has been co-opted for the purposed of gratifying men’s sexual pleasure, but have also been used in campaigns to delegitimize and humiliate female journalists and politicians. In Canada, civil and criminal legislation has addressed the non-consensual distribution of intimate images, but in only a few provinces – British Columbia, New Brunswick, Prince Edward Island and Saskatchewan – does this offence include altered images that could include deepfakes. This paper explores the evolution of synthetic technology such as AI image generators and Canada’s legal responses to the non-consensual sharing of intimate images. (shrink)

This paper will examine the importance of Marcel Duchamp’s La Machine Célibataire (The Bachelor) on Art and Technology in the 20th and 21st centuries.

This rangy and precise book deserves to be read even by those historians who think they are bored with Descartes. While offering surprising and detailed readings of bewildering texts like theDescription of the Human Body, Des Chene constructs a powerful, sad narrative of the Cartesian disenchantment of the body. Along the way he also delivers provocative views on topics as various as teleology, the role of illustrations in the history of mechanism, theories of the sexual differentiation of the foetus, (...) and problems of simulation in scientific method. (shrink)

El uso de sistemas de machine learning en los procesos de selección laboral ha sido de gran utilidad para agilizarlos y volverlos más eficientes, pero al mismo tiempo ha generado problemas en términos de equidad, confiabilidad y transparencia. En este artículo comenzamos explicando los diferentes usos de la Inteligencia Artificial en los procesos de selección laboral en Estados Unidos. Presentamos los sesgos sexuales y raciales que han sido detectados en algunos de ellos y explicamos los obstáculos jurídicos y prácticos para (...) su detección y análisis. Un posible remedio jurídico a la discriminación algorítmica es el régimen de impacto diferencial sistémico utilizado en Estados Unidos. Usamos algunas características de este régimen para señalar los vacíos jurídicos frente a la discriminación en el acceso al empleo en el ámbito del derecho laboral colombiano, y ofrecemos algunas características generales que podría tener un régimen de esa naturaleza. (shrink)

This article examines Jacques Derrida’s work of self-reflection on his own teaching practice by using as a guiding thread the problematics of reproduction in the seminars of the 1970s. The first part of the article examines the sequence of seminars taught by Derrida at École normale supérieure from 1971 to 1977 to show how the concept of reproduction is deconstructed by Derrida across several seminars. Derrida systematically demonstrates, across several themes and fields (sociology and economy, biology and sexuality, art, technique, (...) ontology, and so on), that the critical recourse to the concept of reproduction (for instance, in its Marxist form) risks being complicit in the reproductive system it criticizes. The deconstructive motif of débordement is introduced to problematize this onto-logic of re-production. The second part of the article analyzes more specifically the unpublished seminar “GREPH, le concept de l’idéologie chez les idéologues français” (1974–75), in which Derrida examines the seminar function, his role as a teacher, and his own situation within the French educational system. In particular, Derrida offers a deconstructive critique of the reproductive effects of teaching, and of the institution of philosophy inasmuch as it functions as a reproductive machine. This work of deconstruction is done in the seminar notably through readings of Marx, Engels, and Althusser, with special attention to the concepts of ideology, reproduction, and sexual difference. (shrink)

This article pursues the exploration of how contemporary works of deconstruction can challenge preconceptions of the body and embodiments and interrogate their limits, particularly in relation to intertwined foldings of desire, gender, race and sexuality. Through readings of Jacques Derrida and Sarah Kofman, the authors show that deconstruction allows for an understanding of the body or bodies that goes beyond the present body — indexed as human, male, white, able, living body — thus opening up towards the thinking of bodies (...) and corporealities exceeding the limitations of Christian transsubstantiation and of the Eucharist. The deconstructive body is not one of communion; it is one of (self-)interruption, différance and non-presence. It is the other's body — or the body as otherly. The authors then analyse the ethical-political implications of this thinking of another body, one inassimilable by Western metaphysics, and marked by incalculable sexual differences, animality, undecidable life-death, machinicity, monstrosity, and so on. (shrink)

This work seeks to understand some of the statements of Immanuel Kant on the nature of women and the feminine in his writings in anthropology from a pragmatic point of view. In dealing with the character of sex, Kant presents what, in contemporary language, is called "gender differences" (between men and women, male and female) and develops his main argument for the belief in women's "natural weakness": the preservation of the species. To introduce the theme of gender difference, Kant speaks (...) of "production machines" based on different strength levels and nature's desire. Nature is described as responsible for "female weakness". In a similar way, he claims that the allocation of more or less strength, according to the gender of each individual, has the purpose of allowing for physical, rational, and lasting unions between men and women, for the good of mankind. The focus is on theories of the nature and legal incapacity of women in the eighteenth century resulting, to a great extent, from a long debate among different groups within European society in the previous centuries. This article also discusses some of the literary sources that may have influenced the thinking of Kant on this subject and a possible Kantian stance regarding the role of women in Western society. (shrink)

Afin d’examiner la forme et la fonction « cours » dans le corpus de Derrida, je propose une lecture du séminaire inédit « GREPH. Le concept de l’idéologie chez les idéologues français ». Ce séminaire fut mené dans le cadre des engagements politico-institutionnels du GREPH. Il constitue donc un point d’entrée privilégié pour saisir le rapport complexe que Derrida entretient avec l’enseignement, et plus généralement avec l’institution philosophique. Au cours de ce séminaire, Derrida s’intéresse au « corps enseignant » en (...) tant qu’il fonctionne comme « machine reproductrice » au sein de l’organisation économique générale de la société. Courant deux lièvres à la fois, Derrida mêle une réflexion généalogique sur l’histoire de l’enseignement philosophique en France et en Europe à une analyse théorique de concepts marxistes et sociologiques tels que « capital », « reproduction », ou « appareil idéologique ». À travers des lectures déconstructrices et transformatrices de Marx et d’Althusser, Derrida s’efforce de penser une autre économie — une économie du texte débordant la logique reproductrice qu’il identifie aussi bien chez les économistes classiques que chez leurs critiques marxistes. (shrink)

Radical democratic thinking is becoming intrigued by the material situatedness of its political agents and by the role of nonhuman participants in political interaction. At stake here is the displacement of narrow anthropocentrism that currently guides democratic theory and practice, and its repositioning into what we call ‘the nonhuman condition’. This Critical Exchange explores the nonhuman condition. It asks: What are the implications of decentering the human subject via a new materialist reading of radical democracy? Does this reading dilute political (...) agency? Or should this be seen, on the contrary, as an invitation for new voices and demands to enter into democratic assemblages? How might engagement with the more-than-human disrupt or extend theories of radical democracy? Hans Asenbaum and Amanda Machin discuss the human democratic subject both through radical democratic and new materialist lenses. They suggest that a new materialist decentred subject does not lose agency but further gains political responsibility in radical democracy. Jean-Paul Gagnon highlights the possibility of becoming through loss. In losing our anthropocentric arrogance—our understanding of being other and better than animal—we become more connected and discover our place in human-nonhuman assemblages. Melissa Orlie agrees that something can be gained through renouncing dominant human fantasies and presents a ‘radical democratic naturalism’. By renouncing land violence and acknowledging nature’s subjectivity, we can further nonexploitative radical democratic politics. This is where the notion of ‘tidalectic’ processes introduced by James L. Smith is helpful. Focusing on water and the Indigenous knowledges around rivers, he considers how democracy and community can be reimagined as plural, cyclical and attentive to the nonhuman with which the human is inevitably entangled. Diana Leong offers a different approach. Considering the nonhuman from the perspective of Black Studies demands an awareness to how blackness has long been constituted as non- or partially human. (shrink)

The machine conception of the organism (MCO) is one of the most pervasive notions in modern biology. However, it has not yet received much attention by philosophers of biology. The MCO has its origins in Cartesian natural philosophy, and it is based on the metaphorical redescription of the organism as a machine. In this paper I argue that although organisms and machines resemble each other in some basic respects, they are actually very different kinds of systems. I submit that (...) the most significant difference between organisms and machines is that the former are intrinsically purposive whereas the latter are extrinsically purposive. Using this distinction as a starting point, I discuss a wide range of dissimilarities between organisms and machines that collectively lay bare the inadequacy of the MCO as a general theory of living systems. To account for the MCO’s prevalence in biology, I distinguish between its theoretical, heuristic, and rhetorical functions. I explain why the MCO is valuable when it is employed heuristically but not theoretically, and finally I illustrate the serious problems that arise from the rhetorical appeal to the MCO. (shrink)

Many authors have proposed constraining the behaviour of intelligent systems with ‘machine ethics’ to ensure positive social outcomes from the development of such systems. This paper critically analyses the prospects for machine ethics, identifying several inherent limitations. While machine ethics may increase the probability of ethical behaviour in some situations, it cannot guarantee it due to the nature of ethics, the computational limitations of computational agents and the complexity of the world. In addition, machine ethics, even if it were to (...) be ‘solved’ at a technical level, would be insufficient to ensure positive social outcomes from intelligent systems. (shrink)

In certain corners of the moral enhancement debate, it has been suggested we ought to consider the prospect of supplementing conventional methods of enhancing sexual fidelity (e.g. relationship counselling, moral education, self-betterment, etc.) with biochemical fidelity enhancement methods. In surveying this argument, I begin from the conviction that generally-speaking moral enhancement ought to expectably attenuate (or at least not exacerbate) vulnerability. Assuming conventional methods of enhancing sexual fidelity are at least partially effective in this respect – e.g., that (...) relationship counselling sometimes successfully attenuates the particular vulnerability victims of infidelity feel – then presumably the case for supplementing conventional methods with biochemical methods turns, in part, on the claim that doing so will better promote attenuation of victim vulnerability. -/- In this paper I argue that on a sufficiently sophisticated conception of what this vulnerability consists in, biochemical methods of enhancing fidelity will not expectably attenuate victims’ vulnerability. Moreover, when combined with conventional methods, biochemical methods will predictably tend to undermine whatever attenuation conventional methods expectably promote in that respect. Thus, I conclude that couples committed to saving their relationship following an instance of sexual infidelity have reason to prefer conventional methods of enhancing sexual fidelity sans biochemical methods to conventional methods plus biochemical methods. (shrink)

Sexual lust – understood as a feeling of sexual attraction towards another – has traditionally been viewed as a sort of desire or at least as an appetite akin to hunger. I argue here that this view is, at best, significantly incomplete. Further insights can be gained into certain occurrences of lust by noticing how strongly they resemble occurrences of “attitudinal” (“object-directed”) emotion. At least in humans, the analogy between the object-directed appetites and attitudinal emotions goes well beyond (...) their psychological structure to include similar ways in which their occurrence can be introspectively recognized, resulting in similar extensions of their functionality and meaningfulness to the subject. I conclude that although further research is needed, given the strength of the analogy, the ability of lust to satisfy some general requirements for being an emotion, and perhaps certain neurological findings, lust may somewhat uniquely straddle the line between appetite and emotion. (shrink)

The sex/gender distinction is a staple of feminist philosophy. In slogan form: sex is “natural,” while gender is the “social meaning” of sex. Considering the importance of the sex/gender distinction—which, here, I neither endorse nor reject—it’s interesting to ask if philosophers working on the metaphysics of sexuality might make use of an analogous distinction. In this paper, I argue that we ought to endorse the sexual orientation/identity distinction. In particular, I argue that the orientation/identity distinction is indispensable to normative (...) explanations regarding LGBTQIA+ oppression and resistance. As a case study, I consider the oppression involved in the gentrification of historic queer neighborhoods. (shrink)

Should positional sexual misconduct (sexual advances or interaction where one party is known, or should be known, to have a significant power over the other) be included in the list of morally forbidden behaviours? I explore benefits and costs of this moral reform with the help of J. S. Mill.

A number of findings in the field of machine learning have given rise to questions about what it means for automated scoring- or decisionmaking systems to be fair. One center of gravity in this discussion is whether such systems ought to satisfy classification parity (which requires parity in accuracy across groups, defined by protected attributes) or calibration (which requires similar predictions to have similar meanings across groups, defined by protected attributes). Central to this discussion are impossibility results, owed to Kleinberg (...) et al. (2016), Chouldechova (2017), and Corbett-Davies et al. (2017), which show that classification parity and calibration are often incompatible. This paper aims to argue that classification parity, calibration, and a newer, interesting measure called counterfactual fairness are unsatisfactory measures of fairness, offer a general diagnosis of the failure of these measures, and sketch an alternative approach to understanding fairness in machine learning. (shrink)

I argue against Appel's recent proposal – in this JOURNAL – that there is a fundamental human right to sexual pleasure, and that therefore the sexual pleasure of severely disabled people should be publicly funded – by thereby partially legalizing prostitution. I propose an alternative that does not need to pose a new positive human right; does not need public funding; does not need the legalization of prostitution; and that would offer a better experience to the severely disabled: (...) charitable non-profit organizations whose members would voluntarily and freely provide sexual pleasure to the severely disabled. (shrink)

Although the idea that sexual violence is a “structural” problem is not new, the lack of specification as to what that entails blocks effective responses to it. This paper illustrates the concept of sexual violence as structural in the sense of containing a type of moral wrong called “structural wrong” and discusses its practical implications. First, I introduce a distinction between two types of moral wrongs—interactional wrongs and structural wrongs—and I argue that the moral problem of sexual (...) violence includes both types, each of which calls for a different set of moral responses. Second, drawing on Iris Marion Young’s social connection model of responsibility, I argue that recognizing the structural-wrong element of sexual violence does not reduce individual perpetrators’ responsibility for it. Instead, it implies that a broader group of agents are required to join collective actions to reform the social structure. I conclude by evaluating some preventive programs against sexual violence through the lens of structural wrongs and providing directions to advance them. (shrink)

Prediction-based decisions, which are often made by utilizing the tools of machine learning, influence nearly all facets of modern life. Ethical concerns about this widespread practice have given rise to the field of fair machine learning and a number of fairness measures, mathematically precise definitions of fairness that purport to determine whether a given prediction-based decision system is fair. Following Reuben Binns (2017), we take ‘fairness’ in this context to be a placeholder for a variety of normative egalitarian considerations. We (...) explore a few fairness measures to suss out their egalitarian roots and evaluate them, both as formalizations of egalitarian ideas and as assertions of what fairness demands of predictive systems. We pay special attention to a recent and popular fairness measure, counterfactual fairness, which holds that a prediction about an individual is fair if it is the same in the actual world and any counterfactual world where the individual belongs to a different demographic group (cf. Kusner et al. (2018)). (shrink)

This chapter delineates several distinct (and often problematically conflated) kinds of sexual exclusion: (1) lack of access to sexual gratification or pleasure, (2) lack of access to partnered sex, and (3) lack of social/psychological validation that comes from being seen as a sexual being. Liberman offers proposals about what our collective responses to these harms should be while weighing in on debates about whether there are rights to various kinds of sexual goods. She concludes that we (...) ought to provide mechanical assistance to those who are incapable of self-stimulation, enhance access to sexual education for everyone, and engage in a systematic effort to change the harmful social norms, stereotypes, and cultural ideals that drive exclusion from partnered sex and can lead to social invalidation. (shrink)

This article argues that political injustices can arise from the distribution and character of our sexual desires and that we can be held responsible for correcting these injustices. It draws on a conception of structural injustice to diagnose unjust patterns of sexual attraction, which are taken to arise when socio-structural processes shaping the formation of sexual desire compound systemic domination and capacity-deprivation for the occupants of a social position. Individualistic and structural solutions to the problem of unjust (...) patterns of sexual attraction are assessed in the context of racialised sexual aversion, racial fetishism, and the desexualisation of people with disabilities. While both forms of intervention can help in principle, some of the advantages of structural approaches are laid out. A schema for assigning political responsibilities for addressing this injustice is proposed, with some limits identified to the kinds of state and social responses that are justified. Finally, the status of the merely aesthetically unappealing is considered, with a relational egalitarian approach concluding that they are subject to structurally unjust patterns of sexual desire only when exposed to oppression or second-class citizenship as a result. (shrink)

In order to determine whether current (or future) machines have a welfare that we as agents ought to take into account in our moral deliberations, we must determine which capacities give rise to interests and whether current machines have those capacities. After developing an account of moral patiency, I argue that current machines should be treated as mere machines. That is, current machines should be treated as if they lack those capacities that would give rise (...) to psychological interests. Therefore, they are moral patients only if they have non-psychological interests. I then provide an account of what I call teleo interests that constitute the most plausible type of non-psychological interest that a being might have. I then argue that even if current machines have teleo interests, they are such that agents need not concern themselves with these interests. Therefore, for all intents and purposes, current machines are not moral patients. (shrink)

Sex is an important part of human life. It is a source of pleasure and intimacy, and is integral to many people’s self-identity. This chapter examines the opportunities and challenges posed by the use of AI in how humans express and enact their sexualities. It does so by focusing on three main issues. First, it considers the idea of digisexuality, which according to McArthur and Twist (2017) is the label that should be applied to those ‘whose primary sexual identity (...) comes through the use of technology’, particularly through the use of robotics and AI. While agreeing that this phenomenon is worthy of greater scrutiny, the chapter questions whether it is necessary or socially desirable to see this as a new form of sexual identity. Second, it looks at the role that AI can play in facilitating human-to-human sexual contact, focusing in particular on the use of self-tracking and predictive analytics in optimising sexual and intimate behaviour. There are already a number of apps and services that promise to use AI to do this, but they pose a range of ethical risks that need to be addressed at both an individual and societal level. Finally, it considers the idea that a sophisticated form of AI could be an object of love. Can we be truly intimate with something that has been ‘programmed’ to love us? Contrary to the widely-held view, this chapter argues that this is indeed possible. (shrink)

This article critically examines one of the most prevalent metaphors in modern biology, namely the machine conception of the organism (MCO). Although the fundamental differences between organisms and machines make the MCO an inadequate metaphor for conceptualizing living systems, many biologists and philosophers continue to draw upon the MCO or tacitly accept it as the standard model of the organism. This paper analyses the specific difficulties that arise when the MCO is invoked in the study of development and evolution. (...) In developmental biology the MCO underlies a logically incoherent model of ontogeny, the genetic program, which serves to legitimate three problematic theses about development: genetic animism, neo-preformationism, and developmental computability. In evolutionary biology the MCO is responsible for grounding unwarranted theoretical appeals to the concept of design as well as to the interpretation of natural selection as an engineer, which promote a distorted understanding of the process and products of evolutionary change. Overall, it is argued that, despite its heuristic value, the MCO today is impeding rather than enabling further progress in our comprehension of living systems. (shrink)

The fact that real-world decisions made by artificial intelligences (AI) are often ethically loaded has led a number of authorities to advocate the development of “moral machines”. I argue that the project of building “ethics” “into” machines presupposes a flawed understanding of the nature of ethics. Drawing on the work of the Australian philosopher, Raimond Gaita, I argue that ethical dilemmas are problems for particular people and not (just) problems for everyone who faces a similar situation. Moreover, the (...) force of an ethical claim depends in part on the life history of the person who is making it. For both these reasons, machines could at best be engineered to provide a shallow simulacrum of ethics, which would have limited utility in confronting the ethical and policy dilemmas associated with AI. (shrink)

We construct a machine that knows its own code, at the price of not knowing its own factivity.

In light of recent breakneck pace in machine learning, questions about whether near-future artificial systems might be conscious and possess moral status are increasingly pressing. This paper argues that as matters stand these debates lack any clear criteria for resolution via the science of consciousness. Instead, insofar as they are settled at all, it is likely to be via shifts in public attitudes brought about by the increasingly close relationships between humans and AI users. Section 1 of the paper I (...) briefly lays out the current state of the science of consciousness and its limitations insofar as these pertain to machine consciousness, and claims that there are no obvious consensus frameworks to inform public opinion on AI consciousness. Section 2 examines the rise of conversational chatbots or Social AI, and argues that in many cases, these elicit strong and sincere attributions of consciousness, mentality, and moral status from users, a trend likely to become more widespread. Section 3 presents an inconsistent triad for theories that attempt to link consciousness, behaviour, and moral status, noting that the trends in Social AI systems will likely make the inconsistency of these three premises more pressing. Finally, Section 4 presents some limited suggestions for how consciousness and AI research communities should respond to the gap between expert opinion and folk judgment. (shrink)

Here, I examine the epistemic relation between beliefs about the nature of sexual orientation (e.g., beliefs concerning whether orientation is dispositional) and beliefs about the taxonomy of orientation categories (e.g., beliefs concerning whether polyamorous is an orientation category). Current philosophical research gives epistemic priority to the former class of beliefs, such that beliefs about the taxonomy of orientation categories tend to be jettisoned or revised in cases of conflict with beliefs about the nature of sexual orientation. Yet, considering (...) the influence of ideology on beliefs about socially significant phenomena, I argue for an epistemic reversal. (shrink)

This study employs machine learning to predict diabetes using a Kaggle dataset with 13 features. Our three-layer model achieves an accuracy of 98.73% and an average error of 0.01%. Feature analysis identifies Age, Gender, Polyuria, Polydipsia, Visual blurring, sudden weight loss, partial paresis, delayed healing, irritability, Muscle stiffness, Alopecia, Genital thrush, Weakness, and Obesity as influential predictors. These findings have clinical significance for early diabetes risk assessment. While our research addresses gaps in the field, further work is needed to enhance (...) model generalizability. (shrink)

Is there a choice in sexual orientation? [Wilkerson, William S. : “Is It a Choice? Sexual Orientation as Interpretation”. In: Journal of Social Philosophy 40. No. 1, p. 97–116] argues that sexual desires require interpretation in order to be fully constituted, and therefore sexual orientation is at least partially constituted by choice. [Díaz-León, Esa : “Sexual Orientation as Interpretation? Sexual Desires, Concepts, and Choice”; In: Journal of Social Ontology] critically assesses Wilkerson’s argument, concluding that (...) we still lack a good argument for the claim that choice plays a role in sexual orientation. Here I examine Díaz-León’s response to Wilkerson. I introduce what I call the conceptual act theory of sexual orientation, and argue that even if interpretation were not necessary to constitute sexual desires, it is a necessary element to constitute what we call sexual orientation. However, I conclude that even if we agree that interpretation is involved in sexual orientation, it does not follow that there is a choice involved. (shrink)

Miller analyzes the relationship between consent and autonomy by offering three pictures. For autonomy, Miller distinguishes between procedural, substantive, and weak substantive autonomy. The corresponding views of consent are what Miller has termed as consensual minimalism, consensual idealism, and consensual realism. The requirements of sexual consent under consensual minimalism are a voluntary informed agreement. However, feminist critiques reveal the inadequacies of this simple position. Consensual idealism, which corresponds with substantive autonomy, offers a robust picture where consent and autonomy must (...) be based on non-oppression. However, this view is considered too ideal and it ignores context. Weak substantive autonomy takes into account the context in the sexual domain. Correspondingly, consensual realism takes into account the context and still fulfills the requirements of consent. (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)

In men and women sexual arousal culminates in orgasm, with female orgasm solely from sexual intercourse often regarded as a unique feature of human sexuality. However, orgasm from sexual intercourse occurs more reliably in men than in women, likely reflecting the different types of physical stimulation men and women require for orgasm. In men, orgasms are under strong selective pressure as orgasms are coupled with ejaculation and thus contribute to male reproductive success. By contrast, women's orgasms in (...) intercourse are highly variable and are under little selective pressure as they are not a reproductive necessity. The proximal mechanisms producing variability in women's orgasms are little understood. In 1924 Marie Bonaparte proposed that a shorter distance between a woman's clitoris and her urethral meatus (CUMD) increased her likelihood of experiencing orgasm in intercourse. She based this on her published data that were never statistically analyzed. In 1940 Landis and colleagues published similar data suggesting the same relationship, but these data too were never fully analyzed. We analyzed raw data from these two studies and found that both demonstrate a strong inverse relationship between CUMD and orgasm during intercourse. Unresolved is whether this increased likelihood of orgasm with shorter CUMD reflects increased penile–clitoral contact during sexual intercourse or increased penile stimulation of internal aspects of the clitoris. CUMD likely reflects prenatal androgen exposure, with higher androgen levels producing larger distances. Thus these results suggest that women exposed to lower levels of prenatal androgens are more likely to experience orgasm during sexual intercourse. . (shrink)

The purpose of this paper is to understand if and how interactions with Sexual Robots will modify users’ relational abilities in human-human relations. We first underline that, in today’s scholar discussion on the ‘symbolic argument’, there is no theoretical framework explaining the process of symbolic shift between human-robot interactions (HRI) and human-human interactions (HHI). To clarify the symbolic shift mechanism, we propose the concept of objectual mediation. Moreover, under the lens of Winnicott’s object-relation theory, we argue that HRI can (...) structurally modify users relationality, degrading intersubjective abilities: Sexual Robots may blurry the limit between the ‘internal object’ and the external one. We conclude that, under certain conditions, interactions with Sexual Robots may bring the user back to an infantile object-relation setting, worsening the user ability to manage relational frustration. This will negatively impact on human-human interactions and social values in general. -/- . (shrink)

I argue that the right to sexual satisfaction of severely physically and mentally disabled people and elderly people who suffer from neurodegenerative diseases can be fulfilled by deploying sex robots; this would enable us to satisfy the sexual needs of many who cannot provide for their own sexual satisfaction; without at the same time violating anybody’s right to sexual self-determination. I don’t offer a full-blown moral justification of deploying sex robots in such cases, as not all (...) morally relevant concerns can be addressed here; rather, I put forward a plausible way of fulfilling acute sexual needs without thereby violating anybody’s sexual rights. (shrink)

Machine learning algorithms may radically improve our ability to diagnose and treat disease. For moral, legal, and scientific reasons, it is essential that doctors and patients be able to understand and explain the predictions of these models. Scalable, customisable, and ethical solutions can be achieved by working together with relevant stakeholders, including patients, data scientists, and policy makers.

Large language models (LLMs) represent the currently most relevant incarnation of artificial intelligence with respect to the future fate of democratic governance. Considering their potential, this paper seeks to answer a pressing question: Could LLMs outperform humans as expert advisors to democratic assemblies? While bearing the promise of enhanced expertise availability and accessibility, they also present challenges of hallucinations, misalignment, or value imposition. Weighing LLMs’ benefits and drawbacks compared to their human counterparts, I argue for their careful integration to augment (...) democracy’s ability to address complex policy issues. The paper posits that time-tested democratic procedures like deliberation and aggregation by voting provide safeguards effective against both human and machine advisor imperfections. Additional protective measures include custom LLM training for the advisory role, boosting representatives’ competencies in query formulation, or implementation of adversarial proceedings in which LLM advisors could debate each other and provide dissenting opinions. These could further mitigate the risks that LLMs present in advisory roles and empower human decision-makers toward increased autonomy and quality of their collective choices. My conceptual exploration offers a roadmap for the co-evolution of AI and democratic institutions, setting the stage for an empirical research agenda to finetune the implementation specifics. (shrink)

Gender, sexuality and embodiment in digital spheres have been increasingly studied from various critical perspectives: From research highlighting the articulation of intimacies, desires, and sexualities in and through digital spaces to theoretical explorations of materiality in the digital realm. With such a high level of (inter)disciplinarity, theories, methods, and analyses of gender, sexuality, and embodiment in relation to digital spheres have become highly diversified. Aiming to reflect this diversity, this special issue brings together innovative and newly developed theoretical, empirical, analytical, (...) and critical approaches in the study of gender, sexuality, and embodiment in digital spheres. By connecting intersectionality and digitality to one another, it adopts an integrated approach that reflects the intricacy and interconnectedness of social categories and markers of difference, privilege, performance, and discrimination. The contributions explore a range of differently situated digital cultural practices, including intimate and sexual experiences with(in) digital media, online self-presentation, expressions of digital resistance, and forms of backlash and online attacks. What connects all these articles, is their critical approach to intersectional inequalities and privileges in relation to digitality, plus their nuanced perspective on gender, sexuality, and embodiment interferentially. The final article is based on a roundtable discussion and aims to encourage interdisciplinary connections and suggests ways of doing research that builds bridges between academia and activism. (shrink)

According to the most popular theories of intentionality, a family of theories we will refer to as “functional intentionality,” a machine can have genuine intentional states so long as it has functionally characterizable mental states that are causally hooked up to the world in the right way. This paper considers a detailed description of a robot that seems to meet the conditions of functional intentionality, but which falls victim to what I call “the composition problem.” One obvious way to escape (...) the problem (arguably, the only way) is if the robot can be shown to be a moral patient – to deserve a particular moral status. If so, it isn’t clear how functional intentionality could remain plausible (something like “phenomenal intentionality” would be required). Finally, while it would have seemed that a reasonable strategy for establishing the moral status of intelligent machines would be to demonstrate that the machine possessed genuine intentionality, the composition argument suggests that the order of precedence is reversed: The machine must first be shown to possess a particular moral status before it is a candidate for having genuine intentionality. (shrink)

Simple idealized models seem to provide more understanding than opaque, complex, and hyper-realistic models. However, an increasing number of scientists are going in the opposite direction by utilizing opaque machine learning models to make predictions and draw inferences, suggesting that scientists are opting for models that have less potential for understanding. Are scientists trading understanding for some other epistemic or pragmatic good when they choose a machine learning model? Or are the assumptions behind why minimal models provide understanding misguided? In (...) this paper, using the case of deep neural networks, I argue that it is not the complexity or black box nature of a model that limits how much understanding the model provides. Instead, it is a lack of scientific and empirical evidence supporting the link that connects a model to the target phenomenon that primarily prohibits understanding. (shrink)

This article asks the question, ``what is reliable machine learning?'' As I intend to answer it, this is a question about epistemic justification. Reliable machine learning gives justification for believing its output. Current approaches to reliability (e.g., transparency) involve showing the inner workings of an algorithm (functions, variables, etc.) and how they render outputs. We then have justification for believing the output because we know how it was computed. Thus, justification is contingent on what can be shown about the algorithm, (...) its properties, and its behavior. In this paper, I defend computational reliabilism (CR). CR is a computationally-inspired off-shoot of process reliabilism that does not require showing the inner workings of an algorithm. CR credits reliability to machine learning by identifying reliability indicators external to the algorithm (validation methods, knowledge-based integration, etc.). Thus, we have justification for believing the output of machine learning when we have identified the appropriate reliability indicators. CR is advanced as a more suitable epistemology for machine learning. The main goal of this article is to lay the groundwork for CR, how it works, and what we can expect as a justificatory framework for reliable machine learning. (shrink)

Turing’s much debated test has turned 70 and is still fairly controversial. His 1950 paper is seen as a complex and multilayered text, and key questions about it remain largely unanswered. Why did Turing select learning from experience as the best approach to achieve machine intelligence? Why did he spend several years working with chess playing as a task to illustrate and test for machine intelligence only to trade it out for conversational question-answering in 1950? Why did Turing refer to (...) gender imitation in a test for machine intelligence? In this article, I shall address these questions by unveiling social, historical and epistemological roots of the so-called Turing test. I will draw attention to a historical fact that has been only scarcely observed in the secondary literature thus far, namely that Turing’s 1950 test emerged out of a controversy over the cognitive capabilities of digital computers, most notably out of debates with physicist and computer pioneer Douglas Hartree, chemist and philosopher Michael Polanyi, and neurosurgeon Geoffrey Jefferson. Seen in its historical context, Turing’s 1950 paper can be understood as essentially a reply to a series of challenges posed to him by these thinkers arguing against his view that machines can think. Turing did propose gender learning and imitation as one of his various imitation tests for machine intelligence, and I argue here that this was done in response to Jefferson's suggestion that gendered behavior is causally related to the physiology of sex hormones. (shrink)

The primary aim of this essay is to investigate modalities of resistance to sexual violence. It begins from the observation that the nature of what we understand ourselves to be resisting—that is, how we define the scope, content, and causes of sexual violence—will have profound implications for how we are able to resist. I critically engage one model of resistance to sexual violence: feminist philosophical scholarship on self-defense, highlighting several shortcomings in how the feminist self-defense discourse inadvertently (...) frames sexual violence. Holding these criticisms in mind, I expand the landscape of resistance to sexual violence by considering the new possibilities that empathy might offer. The work of two contemporary women of color feminists—Roxane Gay and Tarana Burke—launches further exploration of empathy’s alternative modes of resistance. By focusing on empathy between survivors of sexual violence, we can expand our understanding of the possibilities of resistance by redistributing and broadening our attention in three main ways: from action to affect and attitude, from a spatially and temporally limited event to something more expansive, and from the individual through the interpersonal to the structural. (shrink)

This chapter addresses the growing problem of unwanted sexual interactions in virtual environments. It reviews the available evidence regarding the prevalence and severity of this problem. It then argues that due to the potential harms of such interactions, as well as their nonconsensual nature, there is a good prima facie argument for viewing them as serious moral wrongs. Does this prima facie argument hold up to scrutiny? After considering three major objections – the ‘it’s not real’ objection; the ‘it’s (...) just a game’ objection; and the ‘unrestricted consent’ objection – this chapter argues that it does. The chapter closes by reviewing some of the policy options available to us in addressing the problem of virtual sexual assault. (shrink)

Lake et al. propose three criteria which, they argue, will bring artificial intelligence (AI) systems closer to human cognitive abilities. In this paper, we explore the application of these criteria to a particular domain of human cognition: our capacity for moral reasoning. In doing so, we explore a set of considerations relevant to the development of AI moral decision-making. Our main focus is on the relation between dual-process accounts of moral reasoning and model-free/model-based forms of machine learning. We also discuss (...) how work in embodied and situated cognition could provide a valu- able perspective on future research. (shrink)

I begin by describing the hideous nature of sexuality, that which makes sexual desire and activity morally suspicious, or at least what we have been told about the moral foulness of sex by, in particular, Immanuel Kant, but also by some of his predecessors and by some contemporary philosophers.2 A problem arises because acting on sexual desire, given this Kantian account of sex, apparently conflicts with the Categorical Imperative. I then propose a typology of possible solutions to this (...) sex problem and critically discuss recent philosophical ethics of sex that fall into the typology's various categories. (shrink)

The creation of artificial moral systems requires us to make difficult choices about which of varying human value sets should be instantiated. The industry-standard approach is to seek and encode moral consensus. Here we argue, based on evidence from empirical psychology, that encoding current moral consensus risks reinforcing current norms, and thus inhibiting moral progress. However, so do efforts to encode progressive norms. Machine ethics is thus caught between a rock and a hard place. The problem is particularly acute when (...) progress beyond prevailing moral norms is particularly urgent, as is currently the case due to the inadequacy of prevailing moral norms in the face of the climate and ecological crisis. (shrink)