Nick Shea’s Representation in Cognitive Science commits him to representations in perceptual processing that are about probabilities. This commentary concerns how to adjudicate between this view and an alternative that locates the probabilities rather in the representational states’ associated “attitudes”. As background and motivation, evidence for probabilistic representations in perceptual processing is adduced, and it is shown how, on either conception, one can address a specific challenge Ned Block has raised to this evidence.

Does perceptual consciousness require cognitive access? Ned Block argues that it does not. Central to his case are visual memory experiments that employ post-stimulus cueing—in particular, Sperling's classic partial report studies, change-detection work by Lamme and colleagues, and a recent paper by Bronfman and colleagues that exploits our perception of ‘gist’ properties. We argue contra Block that these experiments do not support his claim. Our reinterpretations differ from previous critics' in challenging as well a longstanding and common view of visual (...) memory as involving declining capacity across a series of stores. We conclude by discussing the relation of probabilistic perceptual representations and phenomenal consciousness. (shrink)

Zenon Pylyshyn argues that cognitively driven attentional effects do not amount to cognitive penetration of early vision because such effects occur either before or after early vision. Critics object that in fact such effects occur at all levels of perceptual processing. We argue that Pylyshyn’s claim is correct—but not for the reason he emphasizes. Even if his critics are correct that attentional effects are not external to early vision, these effects do not satisfy Pylyshyn’s requirements that the effects be direct (...) and exhibit semantic coherence. In addition, we distinguish our defense from those found in recent work by Raftopoulos and by Firestone and Scholl, argue that attention should not be assimilated to expectation, and discuss alternative characterizations of cognitive penetrability, advocating a kind of pluralism. (shrink)

A survey of innateness in cognitive science, focusing on (1) what innateness might be, and (2) whether concepts might be innate.

Linguistic intuitions are a central source of evidence across a variety of linguistic domains. They have also long been a source of controversy. This chapter aims to illuminate the etiology and evidential status of at least some linguistic intuitions by relating them to error signals of the sort posited by accounts of on-line monitoring of speech production and comprehension. The suggestion is framed as a novel reply to Michael Devitt’s claim that linguistic intuitions are theory-laden “central systems” responses, rather than (...) endorsed outputs of a modularized language faculty (the “Voice of Competence”). Along the way, it is argued that linguistic intuitions may not constitute a natural kind with a common etiology; and that, for a range of cases, the process by which intuitions used in linguistics are generated amounts to little more than comprehension. (shrink)

Fiona Macpherson (2012) argues that various experimental results provide strong evidence in favor of the cognitive penetration of perceptual color experience. Moreover, she proposes a mechanism for how such cognitive penetration occurs. We argue, first, that the results on which Macpherson relies do not provide strong grounds for her claim of cognitive penetrability; and, second, that, if the results do reflect cognitive penetrability, then time-course considerations raise worries for her proposed mechanism. We base our arguments in part on several of (...) our own experiments, reported herein. (shrink)

Can one combine Davidsonian semantics with a deflationary conception of truth? Williams argues, contra a common worry, that Davidsonian semantics does not require truth-talk to play an explanatory role. Horisk replies that, in any event, the expressive role of truth-talk that Williams emphasizes disqualifies deflationary accounts—at least extant varieties—from combination with Davidsonian semantics. She argues, in particular, that this is so for Quine's disquotationalism, Horwich's minimalism, and Brandom's prosententialism. I argue that Horisk fails to establish her claim in all three (...) cases. This involves clarifying Quine’s understanding of a purely referential occurrence; explaining how Davidsonians can avail themselves of a syntactic treatment of lexical ambiguity; and correcting a common misreading of Brandom (answering along the way an objection offered by Künne as well). (shrink)

Theories of consciousness divide over whether perceptual consciousness is rich or sparse in specific representational content and whether it requires cognitive access. These two issues are often treated in tandem because of a shared assumption that the representational capacity of cognitive access is fairly limited. Recent research on working memory challenges this shared assumption. This paper argues that abandoning the assumption undermines post-cue-based “overflow” arguments, according to which perceptual conscious is rich and does not require cognitive access. Abandoning it also (...) dissociates the rich/sparse debate from the access question. The paper then explores attempts to reformulate overflow theses in ways that don’t require the assumption of limited capacity. Finally, it discusses the problem of relating seemingly non-probabilistic perceptual consciousness to the probabilistic representations posited by the models that challenge conceptions of cognitive access as capacity-limited. (shrink)

A reply to commentators -- Jake Beck, Nico Orlandi and Aaron Franklin, and Ian Phillips -- on our paper "Does perceptual consciousness overflow cognitive access?".

Is temporal representation constitutively necessary for perception? Tyler Burge (2010) argues that it is, in part because perception requires a form of memory sufficiently sophisticated as to require temporal representation. I critically discuss Burge’s argument, maintaining that it does not succeed. I conclude by reflecting on the consequences for the origins of temporal representation.

This paper motivates two bases for ascribing propositional semantic knowledge (or something knowledgelike): first, because it’s necessary to rationalize linguistic action; and, second, because it’s part of an empirical theory that would explain various aspects of linguistic behavior. The semantic knowledge ascribed on these two bases seems to differ in content, epistemic status, and cognitive role. This raises the question: how are they related, if at all? The bulk of the paper addresses this question. It distinguishes a variety of answers (...) and their varying philosophical and empirical commitments. (shrink)

An overview of debates surrounding the use of meta-linguistic judgments in linguistics, including recent relevant empirical results.

This chapter examines the “externalist” claim that semantics should include theorizing about representational relations among linguistic expressions and (purported) aspects of the world. After disentangling our main topic from other strands in the larger set of externalist-internalist debates, arguments both for and against this claim are discussed. It is argued, among other things, that the fortunes of this externalist claim are bound up with contentious issues concerning the semantics-pragmatics border.

In this note, I clarify the point of my paper “The Nature of Semantics: On Jackendoff’s Arguments” (NS) in light of Ray Jackendoff’s comments in his “Linguistics in Cognitive Science: The State of the Art.” Along the way, I amplify my remarks on unification.

Who are the best subjects for judgment tasks intended to test grammatical hypotheses? Michael Devitt ( [2006a] , [2006b] ) argues, on the basis of a hypothesis concerning the psychology of such judgments, that linguists themselves are. We present empirical evidence suggesting that the relevant divide is not between linguists and non-linguists, but between subjects with and without minimally sufficient task-specific knowledge. In particular, we show that subjects with at least some minimal exposure to or knowledge of such tasks tend (...) to perform consistently with one another—greater knowledge of linguistics makes no further difference—while at the same time exhibiting markedly greater in-group consistency than those who have no previous exposure to or knowledge of such tasks and their goals. (shrink)

Michael Devitt ([2006a], [2006b]) argues that, insofar as linguists possess better theories about language than non-linguists, their linguistic intuitions are more reliable. (Culbertson and Gross [2009]) presented empirical evidence contrary to this claim. Devitt ([2010]) replies that, in part because we overemphasize the distinction between acceptability and grammaticality, we misunderstand linguists' claims, fall into inconsistency, and fail to see how our empirical results can be squared with his position. We reply in this note. Inter alia we argue that Devitt's (...) focus on grammaticality intuitions, rather than acceptability intuitions, distances his discussion from actual linguistic practice. We close by questioning a demand that drives his discussion—viz., that, for linguistic intuitions to supply evidence for linguistic theorizing, a better account of why they are evidence is required. (shrink)

Resource rationality may explain suboptimal patterns of reasoning; but what of “anti-Bayesian” effects where the mind updates in a direction opposite the one it should? We present two phenomena — belief polarization and the size-weight illusion — that are not obviously explained by performance- or resource-based constraints, nor by the authors’ brief discussion of reference repulsion. Can resource rationality accommodate them?

Stewart Shapiro’s book develops a contextualist approach to vagueness. It’s chock-full of ideas and arguments, laid out in wonderfully limpid prose. Anyone working on vagueness (or the other topics it touches on—see below) will want to read it. According to Shapiro, vague terms have borderline cases: there are objects to which the term neither determinately applies nor determinately does not apply. A term determinately applies in a context iff the term’s meaning and the non-linguistic facts determine that they do. The (...) non-linguistic facts include the “external” context: “comparison class, paradigm cases, contrasting cases, etc.” (33) But external-contextsensitivity is not what’s central to Shapiro’s contextualism. Even fixing external context, vague terms’ (anti-)extensions exhibit sensitivity to internal context: the decisions of competent speakers. According to Shapiro’s open texture thesis, for each borderline case, there is some circumstance in which a speaker, consistently with the term’s meaning and the non-linguistic facts, can judge it to fall into the term’s extension and some circumstance in which the speaker can judge it to fall into the term’s anti-extension: she can “go either way.” Moreover, borderline sentences are Euthyphronically judgment- dependent: a competent speaker’s judging a borderline to fall into a term’s (anti- )extension makes it so. For Shapiro, then, a sentence can be true but indeterminate: a case left unsettled by meaning and the non-linguistic facts (and thus indeterminate, or borderline) may be made true by a competent speaker’s judgment. Importantly, among the non-linguistic facts that constrain speakers’ judgments (at least in the cases Shapiro cares about) is a principle of tolerance: for all x and y, if x and y differ marginally in the relevant respect (henceforth, Mxy), then if one competently judges Bx, one cannot competently judge y in any other manner in the same (total) context.1 This does not require that one judge By: one might not consider the matter at all.. (shrink)

Short‐term memory in vision is typically thought to divide into at least two memory stores: a short, fragile, high‐capacity store known as iconic memory, and a longer, durable, capacity‐limited store known as visual working memory (VWM). This paper argues that iconic memory stores icons, i.e., image‐like perceptual representations. The iconicity of iconic memory has significant consequences for understanding consciousness, nonconceptual content, and the perception–cognition border. Steven Gross and Jonathan Flombaum have recently challenged the division between iconic memory and (...) VWM by arguing against the idea of capacity limits in favor of a flexible resource‐based model of short‐term memory. I argue that, while VWM capacity is probably governed by flexible resources rather than a sharp limit, the two memory stores should still be distinguished by their representational formats. Iconic memory stores icons, while VWM stores discursive (i.e., language‐like) representations. I conclude by arguing that this format‐based distinction between memory stores entails that prominent views about consciousness and the perception–cognition border will likely have to be revised. (shrink)

This chapter takes the form of a discussion between the editors of this volume and Steven Lukes, one the most eminent critics of methodological individualism. The focus is on Lukes’ interpretation of methodological individualism in terms of linguistic exclusivism (i.e., naive reductionism), the multiple-realization problem, Boudon’s and Elster’s micro-foundationalist approach, ontological individualism, and the rationality of human action.

Systems biologists often distance themselves from reductionist approaches and formulate their aim as understanding living systems “as a whole.” Yet, it is often unclear what kind of reductionism they have in mind, and in what sense their methodologies would offer a superior approach. To address these questions, we distinguish between two types of reductionism which we call “modular reductionism” and “bottom-up reductionism.” Much knowledge in molecular biology has been gained by decomposing living systems into functional modules or through detailed studies (...) of molecular processes. We ask whether systems biology provides novel ways to recompose these findings in the context of the system as a whole via computational simulations. As an example of computational integration of modules, we analyze the first whole-cell model of the bacterium M. genitalium. Secondly, we examine the attempt to recompose processes across different spatial scales via multi-scale cardiac models. Although these models rely on a number of idealizations and simplifying assumptions as well, we argue that they provide insight into the limitations of reductionist approaches. Whole-cell models can be used to discover properties arising at the interfaces of dynamically coupled processes within a biological system, thereby making more apparent what is lost through decomposition. Similarly, multi-scale modeling highlights the relevance of macroscale parameters and models and challenges the view that living systems can be understood “bottom-up.” Specifically, we point out that system-level properties constrain lower-scale processes. Thus, large-scale modeling reveals how living systems at the same time are more and less than the sum of the parts. (shrink)

The philosophical debate around the impact of machine learning in science is often framed in terms of a choice between AI and classical methods as mutually exclusive alternatives involving difficult epistemological trade-offs. A common worry regarding machine learning methods specifically is that they lead to opaque models that make predictions but do not lead to explanation or understanding. Focusing on the field of molecular biology, I argue that in practice machine learning is often used with explanatory aims. More specifically, I (...) argue that machine learning can be tightly integrated with other, more traditional, research methods and in a clear sense can contribute to insight into the causal processes underlying phenomena of interest to biologists. One could even say that machine learning is not the end of theory in important areas of biology, as has been argued, but rather a new beginning. I support these claims with a detailed discussion of a case study involving gene regulation by microRNAs. (shrink)

With the emergence of quantum technologies such as quantum computing, quantum communications, and quantum sensing, new potential has emerged for smart manufacturing and Industry 4.0. These technologies, however, present ethical concerns that must be addressed in order to ensure they are developed and used responsibly. This article outlines some of the ethical challenges that quantum technologies may raise for Industry 4.0 and presents the value sensitive design methodology as a strategy for ethics-by-design of quantum computing in Industry 4.0. This research (...) further investigates the potential ethical difficulties that may come from the use of quantum technologies in Industry 4.0, such as concerns about privacy, security, accountability, and the influence of these technologies on workers and society as a whole. The article argues, based on current literature, that these issues necessitate a proactive and comprehensive approach to ethics-by-design. (shrink)

In an era where digital screens are as ubiquitous as the air we breathe, Toward an Anthropology of Screens by Mauro Carbone and Graziano Lingua offers a seminal exploration into screens’ crucial functions and profound impact on human culture. This scholarly work dissects the screen’s evolution, anthropological significance and philosophical implications, offering an enlightening narrative on our mediated reality.

Bioethics, Volume 36, Issue 6, Page 687-698, July 2022.

Most engineers Fwork within social structures governing and governed by a set of values that primarily emphasise economic concerns. The majority of innovations derive from these loci. Given the effects of these innovations on various communities, it is imperative that the values they embody are aligned with those societies. Like other transformative technologies, artificial intelligence systems can be designed by a single organisation but be diffused globally, demonstrating impacts over time. This paper argues that in order to design for this (...) broad stakeholder group, engineers must adopt a systems thinking approach that allows them to understand the sociotechnicity of artificial intelligence systems across sociocultural domains. It claims that value sensitive design, and envisioning cards in particular, provides a solid first step towards helping designers harmonise human values, understood across spatiotemporal boundaries, with economic values, rather than the former coming at the opportunity cost of the latter. (shrink)

The ethics of technology has primarily focused on what values are and how they can be embedded in technologies through design. In this context, some work has been done to show the efficacy of a number of design approaches. However, existing studies have not clearly pointed out the ways in which design-for-values approaches can be used by design team managers to properly organize and use technologies in practice. This chapter attempts to fill this gap by discussing the value sensitive design (...) (VSD) approach as a useful means of co-designing technologies as a toolkit for existing workflow management, in this case, Agile. It will be demonstrated that VSD shows promise as a way of democratically designing technologies as well as fostering democratic technology policy innovation. (shrink)

Artificial intelligence (AI) profoundly influences a number of societal structures today, including religious dynamics. Using Bernard Lonergan’s critical realism as a lens, this article investigates the intersections of AI and religious traditions in their shared pursuit of the common good. Beginning with Lonergan’s principle that humans construct their understanding through cognitive processes, we examine how AI-mediated realities align with or challenge traditional religious tenets. By delving into specific cases, we spotlight AI’s role in reshaping religious symbols, rituals, and even creating (...) novel spiritual meanings. Using Lonergan’s insights on the balance between subjectivity and objectivity, I analyze AI’s potential to both create new sacred spaces and challenge religious orthodoxy. The crux of the discussion centers on the negotiation between religious values and technological innovation, assessing how AI can bolster religious life while maintaining its core essence. Ultimately, this article underscores the importance of the common good in the age of AI-driven religious evolution. (shrink)

This article explores the potential of Bernard Lonergan’s philosophy of subjectivity as objectivity as a grounding for value sensitive design (VSD) and the design turn in applied ethics. The rapid pace of scientific and technological advancement has created a gap between technical abilities and our moral assessments of those abilities, calling for a reflection on the philosophical tools we have for applying ethics. In particular, applied ethics often presents interconnected problems that require a more general framework for ethical reflection. Lonergan’s (...) philosophy, which emphasizes the importance of self-understanding and self-transcendence in achieving objectivity, can provide a valuable perspective on VSD and the design turn in applied ethics. The article examines how Lonergan’s philosophy can be applied to VSD and the design turn, and how scientific knowledge can be integrated into an ethics of science without reducing it to an external reflection. By adopting Lonergan’s perspective, we can address the ethical challenges arising from scientific and technological advancements while promoting a more holistic approach to applied ethics. (shrink)

The leading models of disability struggle to fully encompass all aspects of “disability.” This difficulty arises, the author argues, because the models fundamentally misunderstand the nature of disability. Current theoretical approaches to disability can be understood as “nounal,” in that they understand disability as a thing that is caused or embodied. In contrast, this paper presents an adverbial perspective on disability, which shows that disability is experienced as a personally irremediable impediment to daily-living tasks or goals-like-ours. The picture theory of (...) disability technically constitutes a species of relational approach because its analysis references the interplay between an individual and their environment; it differs from other relational accounts, however, by interpreting disability as a certain kind of negative experience—rather than a function of that relationship. This purely descriptive theory makes no normative claims about disability and operates as both a mechanism for the evaluation of the experience of disability and a heuristic device for the proper interpretation of disability. When disability is reframed in this way, the theory offers a particularist perspective which shows if, when, where, and how disability is experienced. (shrink)

The rapid expansion of Big Tech companies into various societal domains (e.g., health, education, and agriculture) over the past decade has led to increasing concerns among governments, regulators, scholars, and civil society. While existing theoretical frameworks—often revolving around privacy and data protection, or market and platform power—have shed light on important aspects of Big Tech expansionism, there are other risks that these frameworks cannot fully capture. In response, this editorial proposes an alternative theoretical framework based on the notion of sphere (...) transgressions, which draws on political philosopher Michael Walzer's theory of justice. The editorial not only introduces the sphere transgressions framework, but it also highlights its potential to generate novel research questions. Furthermore, this editorial introduces eight articles and one commentary from a group of interdisciplinary scholars that critically examine Big Tech expansionism by reflecting on this expansionism from the perspective of different societal spheres or by engaging with the sphere transgressions framework itself. (shrink)

This is an earlier version of the argument presented as the appendix to the author's final book, Peri Physeos.

The Welfare-Funded Sex Doula Programme is a proposed sexual needs service that advances the sexual citizenship of disabled people by providing specially trained ‘sex doulas’ to meet the various, often complex, sexual needs of disabled people. Conceived as providing disabled individuals with practical sexual support services, the role of the sex doula includes advocacy, counselling, therapy, and practical relief from sexual tension. The programme constitutes a robust, comprehensive, and theoretically cohesive welfare service that seeks to provision access to sexual citizenship (...) for disabled people. -/- Grounded in Aristotelian concepts of flourishing, the programme identifies sexual citizenship as a fundamental basic need and seeks to ensure that disabled people have the opportunity to achieve the same level of sexuality as able-bodied people. Work advancing the programme includes both philosophical and theoretical arguments showing how the programme is justified under several moral frameworks, and claims made therein have resulted in velitation in the literature regarding the potential of such a programme to violate individuals’ negative rights. (shrink)

Worsening energy crises and the growing effects of climate change have spurred, among other things, concerted efforts to tackle global problems through what the United Nations calls Sustainable Development Goals (SDGs). These are in turn argued to be best achieved via the adoption of environmental, social, and corporate governance (ESG) as the vehicle for guiding our efforts. However, though these things are often presented as the solution to global issues, they are increasingly being used as a means to centralize power (...) and exacerbate growing authoritarian trends. This article aims to demonstrate how the narratives surrounding ESG mask this reality, taking as a solution one of the foundational causes of global wealth and power disparity. (shrink)

Value Sensitive Design (VSD) is an established method for integrating values into technical design. It has been applied to different technologies and, more recently, to artificial intelligence (AI). We argue that AI poses a number of challenges specific to VSD that require a somewhat modified VSD approach. Machine learning (ML), in particular, poses two challenges. First, humans may not understand how an AI system learns certain things. This requires paying attention to values such as transparency, explicability, and accountability. Second, ML (...) may lead to AI systems adapting in ways that ‘disembody’ the values embedded in them. To address this, we propose a threefold modified VSD approach: 1) integrating a known set of VSD principles (AI4SG) as design norms from which more specific design requirements can be derived; 2) distinguishing between values that are promoted and respected by the design to ensure outcomes that not only do no harm but also contribute to good; and 3) extending the VSD process to encompass the whole life cycle of an AI technology in order to monitor unintended value consequences and redesign as needed. We illustrate our VSD for AI approach with an example use case of a SARS-CoV-2 contact tracing app. (shrink)

This chapter proposed a novel design methodology called Value-Sensitive Design and its potential application to the field of artificial intelligence research and design. It discusses the imperatives in adopting a design philosophy that embeds values into the design of artificial agents at the early stages of AI development. Because of the high risk stakes in the unmitigated design of artificial agents, this chapter proposes that even though VSD may turn out to be a less-than-optimal design methodology, it currently provides a (...) framework that has the potential to embed stakeholder values and incorporate current design methods. The reader should begin to take away the importance of a proactive design approach to intelligent agents. (shrink)

Robotization is an increasingly pervasive feature of our lives. Robots with high degrees of autonomy may cause harm, yet in sufciently complex systems neither the robots nor the human developers may be candidates for moral blame. John Danaher has recently argued that this may lead to a retribution gap, where the human desire for retribution faces a lack of appropriate subjects for retributive blame. The potential social and moral implications of a retribution gap are considerable. I argue that the retributive (...) intuitions that feed into retribution gaps are best understood as deontological intuitions. I apply a debunking argument for deontological intuitions in order to show that retributive intuitions cannot be used to justify retributive punishment in cases of robot harm without clear candidates for blame. The fundamental moral question thus becomes what we ought to do with these retributive intuitions, given that they do not justify retribution. I draw a parallel from recent work on implicit biases to make a case for taking moral responsibility for retributive intuitions. In the same way that we can exert some form of control over our unwanted implicit biases, we can and should do so for unjustifed retributive intuitions in cases of robot harm. (shrink)

Recent literature on Christian nationalism by sociologists of religion in the United States identifies a perceived novel phenomenon: the fusion of authoritarian governmental forms with Christianity. However, the socio-historical origin of this international trend has been left relatively unexplored. Therefore, the goal of this chapter is to create a single international account that lends itself to future comparative theoretical frameworks and analyses through the term "Christofascism." -/- The chapter can also be accessed on google books at the link included in (...) the description. Finally, order the book on Routledge's website, also linked in the description. (shrink)

The author presents reasons for thinking that the evil we observe in the world is not even prima facie evidence against the existence of God.

The purpose of this paper is to review and critique Wessel Reijers and Bert Gordijn’s paper Moving from value sensitive design to virtuous practice design. In doing so, it draws on recent literature on developing value sensitive design (VSD) to show how the authors’ virtuous practice design (VPD), at minimum, is not mutually exclusive to VSD. This paper argues that virtuous practice is not exclusive to the basic methodological underpinnings of VSD. This can therefore strengthen, rather than exclude the VSD (...) approach. Likewise, this paper presents not only a critique of what was offered as a “potentially fruitful alternative to VSD” but further clarifies and contributes to the VSD scholarship in extending its potential methodological practices and scope. It is concluded that VPD does not appear to offer any original contribution that more recent instantiations of VSD have not already proposed and implemented. (shrink)

The extreme incidence and prevalence of rage-driven aggression and destructiveness in the United States is without parallel in any other industrialized country in the world. During 2022 alone, there were 647 mass shootings in the U.S. (in each, at least four victims were killed). Unfortunately these many killings comprise only one form of widespread rage in America. This paper seeks to answer why this is happening.

This dissertation explores the idea and ethics of vaccination for the sake of others. It conceptually distinguishes four different kinds of vaccination—self-protective, paternalistic, altruistic, and indirect—based on who receives the primary benefits of vaccination and who ultimately makes the vaccination decision. It describes the results of focus group studies that were conducted to investigate what people who might get vaccinated altruistically think of this idea. It also applies the different kinds of vaccination to ethical issues surrounding COVID-19, such as lockdown (...) measures, routine or mandatory vaccination of healthy children, and the ethical justification of restrictive measures for unvaccinated people. A more general philosophical account of vaccination ethics is ultimately developed, which is based not on moral duties, but on the moral reasons that people may have to get vaccinated for the sake of others. It is argued that such reasons may be stronger or weaker, depending on various factors related to the vaccines in question and the specific epidemiological circumstances. (shrink)

In the past few decades, peer review has come to dominate virtually all professionally respectable academic and scientific publications. However, despite its near-universal acceptance, no code of conduct has been developed to which peer reviewers and their editors are encouraged to adhere. This paper proposes such a code of conduct.

Healthcare is becoming increasingly automated with the development and deployment of care robots. There are many benefits to care robots but they also pose many challenging ethical issues. This paper takes care robots for the elderly as the subject of analysis, building on previous literature in the domain of the ethics and design of care robots. Using the value sensitive design approach to technology design, this paper extends its application to care robots by integrating the values of care, values that (...) are specific to AI, and higher-scale values such as the United Nations Sustainable Development Goals. The ethical issues specific to care robots for the elderly are discussed at length alongside examples of specific design requirements that work to ameliorate these ethical concerns. (shrink)