Elan’s central move is to shift the analytical frame from people who have adequate care to what the paper calls care-marginalized populations: those who are structurally excluded from sufficient human care. This group is far larger than public debate usually acknowledges. The World Health Organization projects a widening global shortfall of health workers, and OECD analyses of the coming demographic crunch describe care systems stretched to breaking by aging populations. In China alone, national statistics record hundreds of millions of older adults alongside shrinking family sizes, and surveys of internet use document vast numbers of elderly people living alone in empty-nest households. For family caregivers, longitudinal studies of end-of-life care show exhaustion, depressive symptoms, and the collapse of working lives under the weight of unpaid labor. When the premise of abundant human care fails, Elan argues, the best the traditional critique can offer is to frame AI as harm reduction, a second-best option for people with no better choice. The paper contends that even that framing concedes too much ground.

To rebuild the ethical analysis from the ground up, Elan introduces a Care Priority Hierarchy, borrowing structural logic from classic motivation theories such as Maslow’s hierarchy of needs and Alderfer’s empirical work on human needs. The idea is that ethical evaluation should begin at the most fundamental levels of care rather than at the most philosophically glamorous ones. At the base sits functional care: the actual physical and medical work of keeping a person alive and healthy. Above it come non-burdensomeness, meaning the relief of crushing strain on both caregivers and care recipients, and then dignity, the preservation of self-respect and personhood. Only at the top of the hierarchy does relational authenticity, the quality that has absorbed so much of the academic debate, appear. The argument is not that authenticity does not matter, but that it is incoherent to litigate the authenticity of a relationship when the lower floors of the building are missing.

At the level of functional care, the technical case for AI is increasingly concrete. Large language models have now been tested in randomized, preregistered trials as medical assistants for the general public, with results published in Nature Medicine in 2026, and comparative studies in The Lancet Digital Health and the Journal of Medical Internet Research have evaluated the diagnostic and triage accuracy of frontier models against physician performance. Family caregivers, who frequently lack professional medical training and whose health literacy strongly predicts how well they perform clinical tasks at home, could draw on this knowledge base for medication management, wound care, and symptom monitoring. Sensor-equipped remote monitoring systems, reviewed systematically for patients with Alzheimer’s disease and related dementias, can detect deterioration that exhausted human observers miss. One striking piece of hard-outcome evidence comes from a pragmatic randomized clinical trial published in the International Journal of Nursing Studies, in which a wearable patient sensor on hospital wards significantly reduced pressure injuries. Elan is careful to note that this effect has not yet been directly tested in home settings, but the trajectory is clear: machines can supply medical competence that non-professional caregivers lack, and, as embodied care robots mature, perform the physical body-work that care requires.

The second and third levels of the hierarchy, burden and dignity, are where the paper makes its most provocative claims. A key concept here is self-perceived burden, defined in a qualitative systematic review by Saji and colleagues as the patient’s experience of feeling useless, a failure, or out of control. People who feel like a burden sacrifice their own needs to spare their caregivers, a sacrifice that paradoxically increases total suffering. Meta-analyses link subjective caregiver burden to depressive symptoms in carers of older relatives, and research on disabled patients shows that self-perceived burden mediates the relationship between meaning in life and dignity. Elan’s insight is that AI care can dissolve this psychological mechanism at its root: a care recipient who knows that a machine does not tire, does not sacrifice its career, and does not pay a personal cost for every glass of water delivered no longer needs to ration its own needs. The burden disappears not by being hidden but by being structurally dissolved.

Dignity, long the trump card of the anti-robot argument, is similarly re-examined. Classic papers by Sharkey and by Sparrow and Sparrow warned that delegating intimate care to machines would humiliate older people, and Felber and colleagues have used social dignity as a yardstick for robotic assistance. But Elan points to the opposite side of the ledger: intimate body-work, such as bathing, toileting, and lifting, can compromise dignity on both sides, embarrassing the recipient and dehumanizing the caregiver who performs it. The concept of beneficent dehumanization, developed by Palmer and Schwan in the journal Bioethics, captures the idea that shame-induced barriers to medical care can actually be lowered when a machine rather than a human performs intimate tasks. Empirical attitude research supports the reframing: a study in the International Journal of Social Robotics found that care-dependent people are less averse to care robots than the general population, suggesting that the strongest objections come from those who will never need the technology. Non-randomized interventional work on care robots has also documented reductions in physical burden and pain for caregivers, and meta-analytic evidence on mechanical lifting devices shows substantial reductions in musculoskeletal injuries among health personnel.

In the relational domain, Elan argues that AI supports human care both indirectly and directly. Indirectly, it restores the caregiver capacity that scarcity exhausts: a conversational AI that answers an Alzheimer’s caregiver’s questions at three in the morning, or a monitoring system that watches a sleeping parent, returns to the human caregiver the time and emotional reserves needed for genuinely human connection. Studies of conversational AI for dementia caregivers and qualitative work mapping caregiver needs to chatbot design document exactly this kind of relief. Directly, AI can offer attention free of imposition anxiety. Research published in the Journal of Consumer Research found that AI companions reduce loneliness, and a qualitative study of empty-nest elderly users of AI chatbots published in BMC Public Health in 2026 describes users who find it easier to talk to a system that they know has no feelings to hurt and no schedule to disrupt. For someone who has spent years feeling like a burden, an interlocutor who cannot be burdened changes the emotional physics of every interaction.

None of this means the risks vanish, and Elan does not pretend otherwise. The paper acknowledges documented failure modes of conversational systems, including the sycophancy incident OpenAI disclosed for GPT-4o, psychiatric warnings about chatbot-generated delusions in people prone to psychosis, and the sharp critique by Muldoon and Parke that commercial AI companions exploit loneliness and commodify intimacy. These dangers are real, but Elan treats them as design and governance problems rather than reasons to withhold care from people who currently have none. The paper proposes a deployment framework ordered by technological maturity, rolling out systems as their reliability is demonstrated, with two foundational constraints: non-extractive design, so that systems do not monetize the vulnerability of lonely users, and economic accessibility, so that AI care does not become a luxury good for the wealthy while the care-marginalized remain excluded.

The deepest contribution of the paper may be methodological rather than technological. Elan insists that ethical evaluation must be grounded in the human care actually available, not in idealized assumptions of sufficiency. Judged against an imaginary world of attentive human caregivers, AI care will always look like a loss. Judged against the real world of overworked nurses, exhausted daughters, absent services, and isolated elders, it can look like a structural uplift: across every actual care configuration, adding AI expands rather than contracts the total pool of caregiving capacity. The replacement worry, on this reading, rests on a misleading binary. The choice is not between a human hand and a robotic one; it is between a robotic hand and no hand at all, and for a growing share of the world’s population, that is the choice actually on the table.

Subject of Research: Ethical evaluation of AI caregiving for care-marginalized populations

Article Title: Beyond harm reduction: dignity, burden, and the genuine advantage of AI caregiving

Article References: Elan, T. G. (2026). Beyond harm reduction: dignity, burden, and the genuine advantage of AI caregiving. AI & SOCIETY. https://doi.org/10.1007/s00146-026-03319-9

Image Credits: AI Generated

DOI: 10.1007/s00146-026-03319-9

Keywords: AI caregiving, care ethics, care robots, self-perceived burden, dignity, care-marginalized populations, harm reduction, large language models, remote monitoring, caregiver burden, loneliness, AI & Society

The core of the framework is a tri-lens analytical matrix that crosses three dimensions. The first dimension consists of three moral traditions: utilitarian ethics, which weighs aggregate outcomes and costs; deontological ethics, which focuses on duties, rights, and rules that must not be violated regardless of consequences; and virtue ethics, which asks what a good practitioner with good character would do in a given situation. The second dimension distinguishes AI’s two operational arenas. Frontstage systems are those clients directly encounter—chatbots, screening tools that shape decisions about their families, monitoring devices in their homes. Backstage systems are the algorithmic administration that clients rarely see: automated eligibility checks, data-matching pipelines, and risk-scoring infrastructures that quietly sort populations. The third dimension consists of four constitutive social-work values: privacy, self-determination, social justice, and human dignity. Every AI deployment in social welfare, the paper contends, can be located within this twenty-four-cell matrix, and each cell generates distinct ethical questions that generic AI-principle frameworks tend to blur.

This specificity matters because social work is not a generic domain for AI ethics. The discipline is anchored in relational practice—the idea that change happens through sustained, trusting relationships between practitioners and the people they serve—alongside care ethics and anti-oppressive praxis. A framework borrowed wholesale from medicine or finance risks missing what is distinctive about welfare encounters: they involve people in situations of dependency, often coerced or involuntary, where the state itself is both the service provider and the surveillance authority. Hwang argues that existing scholarship documents many harms of welfare AI—bias, opacity, surveillance, and the erosion of professional discretion—but remains conceptually fragmented, producing case-by-case critiques without a shared diagnostic language. The matrix is an attempt to supply that language, and to make explicit that different AI modalities pose different risks requiring different safeguards.

To demonstrate the framework’s reach, the paper applies it to three purposively selected cases whose heterogeneity spans continents and technologies. The first is the Allegheny Family Screening Tool in the United States, a predictive risk model used in child welfare screening in Allegheny County, Pennsylvania. The second cluster concerns algorithmic welfare administration: the Dutch SyRI system, which mined government data to detect suspected welfare fraud until a court curtailed it; the Australian Robodebt scheme, which automated debt recovery against benefit recipients and became one of the country’s worst public-administration scandals; and South Korean crisis-household detection, which uses administrative data to identify families at risk. The third case examines digital-care technologies in Korea and OECD comparator countries, where sensors, wearables, and remote-monitoring platforms mediate care for older adults. Together these cases show that a child-welfare risk score, a fraud-detection pipeline, and a care robot are not ethically interchangeable, even though all are labeled AI.

The frontstage–backstage distinction does much of the analytical work here. A frontstage tool like the Allegheny screening model directly shapes what a caseworker sees and does at the moment of first contact with a family. Its errors are consequential and intimate: a falsely high risk score can trigger intrusive investigation, while a falsely low one can leave a child unprotected. Because the tool operates at the point of professional judgment, the framework treats it as ethically permissible only if it augments that judgment—informing the worker’s assessment without displacing relational authority. A backstage system like SyRI or Robodebt, by contrast, operates on populations at scale, often without individual knowledge or meaningful consent. Its harms are structural: wrongful debt notices, discriminatory targeting, and the conversion of welfare applicants into suspects. The framework suggests that backstage automation faces a higher ethical bar precisely because no relational check exists to catch its errors before they land on people’s lives.

The three moral traditions also pull in different directions, and the matrix makes those tensions visible rather than hiding them. A utilitarian assessment of a predictive screening tool might emphasize aggregate benefits: earlier identification of at-risk children, more efficient allocation of scarce caseworker time, and prevention of tragedies. A deontological assessment asks whether the system respects the rights of the people it scores—whether they know they are being scored, whether they can contest the score, and whether consent is meaningful at all. A virtue-ethical assessment asks what the technology does to practitioners: does it cultivate attentiveness, humility, and care, or does it train workers to defer to a number and abandon the interpretive habits that relational practice requires? The paper’s position is that an AI system must survive scrutiny from all three lenses, not merely the consequentialist one, because welfare systems have historically justified harms to individuals by appeals to aggregate efficiency.

The four social-work values function as the normative anchors of the analysis. Privacy is threatened not only by data collection but by inference: a risk model can reveal intimate patterns of family life that no one deliberately disclosed. Self-determination is eroded when algorithmic outputs narrow the options a client is offered or the discretion a worker exercises. Social justice, the paper stresses, must be substantive rather than merely formal—a system can satisfy formal nondiscrimination while still distributing burdens unevenly across already-marginalized groups, because the underlying data reflect historical inequities. Human dignity is at stake whenever a person is reduced to a risk score or a fraud probability, processed by machinery they cannot see or question. The framework asks of every deployment: does this system advance these four values, or does it quietly trade them away for administrative convenience?

From the case analyses, the paper distills a set of conditions under which AI in social work is ethically defensible. First, AI must augment practitioner judgment without displacing relational authority—the human relationship remains the locus of decision, and the algorithm serves as one input among many. Second, AI must advance substantive rather than merely formal equity, which requires auditing outcomes across groups and correcting for the inequities embedded in historical data. Third, AI must be embedded in contestable, auditable institutions: affected people must be able to challenge algorithmic decisions, independent bodies must be able to inspect the systems, and the terms of deployment must remain politically revisable rather than locked in by technical opacity. Where these conditions fail, the same technology crosses from augmentation into automation, and the paper’s analysis suggests that resistance is then not Luddism but an ethical obligation grounded in the profession’s core commitments.

The Robodebt and SyRI episodes illustrate what failure looks like. Robodebt automated income-matching and debt issuance at scale, shifting the burden of proof onto vulnerable recipients and generating unlawful debts before a royal commission exposed the scheme’s flaws. SyRI’s opaque data-mining targeted low-income neighborhoods and was ruled in violation of the European Convention on Human Rights by a Dutch court in 2020. Both systems were backstage, uncontestable in practice, and structurally biased toward suspicion of the poor—precisely the configuration the framework flags as automated welfare. By contrast, the paper’s treatment of digital-care technologies suggests a more promising frontier, provided that monitoring remains genuinely consensual, that data flows serve the person being cared for rather than only the institution, and that human contact is not replaced by sensor readouts. The Korean crisis-household detection case sits between these poles, showing how administrative data can surface families in need—but only if detection triggers supportive outreach rather than punitive intervention.

The paper’s contribution is threefold, and its implications reach beyond social work. It reframes the field’s debate from replacement versus resistance to augmentation versus automation, a shift that turns a stale binary into a designable and governable distinction. It supplies a reusable diagnostic matrix that practitioners, agencies, and regulators can apply to concrete systems before deployment rather than after harm. And it integrates Korean, European, and North American evidence within a single analytic lens, demonstrating that the dilemmas of the digital welfare state are global even as their legal and institutional responses remain local. As governments worldwide race to embed AI in public services, the framework’s central warning is worth stating plainly: the question is never whether AI can make welfare administration faster or cheaper, but whether it leaves the human relationship—the actual substance of social work—intact. The research was supported by the Asan Foundation and a Gachon University research fund, and was presented at the Asan Foundation Symposium in Seoul in May 2026.

Subject of Research: An ethical framework for evaluating artificial intelligence as augmentation or automation in social work

Article Title: An ethical framework for assessing artificial intelligence as augmentation or automation in social work

Article References: Hwang, K. (2026). An ethical framework for assessing artificial intelligence as augmentation or automation in social work. Discover Social Science and Health. https://doi.org/10.1007/s44155-026-00463-x

Image Credits: AI Generated

DOI: 10.1007/s44155-026-00463-x

Keywords: artificial intelligence, social work ethics, augmented intelligence, predictive risk modelling, algorithmic decision-making, digital welfare state, relational practice, care ethics, anti-oppressive practice, Allegheny Family Screening Tool, Robodebt, SyRI

LaMothe’s central analytical tool is the concept of the apparatus, borrowed from the philosopher Giorgi Agamben. In Agamben’s formulation, an apparatus is a set of practices, bodies of knowledge, measures, and institutions that aim to manage, govern, control, and orient human behaviors, gestures, and thoughts in ways that purport to be useful. Drawing on Michel Foucault, Agamben notes that in a disciplinary society, apparatuses create docile yet free bodies that assume their identity and their freedom as subjects. LaMothe applies this lens to the theological and philosophical traditions of the Abrahamic West, arguing that their theologies, narratives, and rituals have functioned as apparatuses shaping masculine identity around sovereignty, mastery, and dominion. The result, he argues, is a masculinity that treats other species and the Earth itself as objects to be used, reified, and destroyed rather than as fellow creatures deserving of care.

The paper is careful about definitions. By Western, LaMothe means people who have internalized the narratives and practices of dominant European anthropologies, theological and philosophical, that create a seemingly unbridgeable divide between humans and other species. He explicitly notes that many people and groups within the West, including Indigenous peoples, hold anthropologies that do not produce such a chasm between the human and the other-than-human, citing the work of anthropologists such as Eduardo Kohn and Eduardo Viveiros de Castro. Masculinity, meanwhile, is treated as biologically rooted but socially constructed, taking varied forms across time and cultures, with a fluidity of gender expression depending on culture and era. This definitional care matters, because the argument is not that men are inherently destructive but that particular historically contingent formations of manhood have been recruited into an ecological project of domination.

One of the paper’s most striking claims concerns the very concept of nature. LaMothe places the word in quotation marks because he regards it as a construct that is itself a feature of the ontological divide between Western human beings and the rest of the living world, a point he grounds in the work of Agamben, Jacques Derrida, and Bruno Latour. Many Indigenous religions and philosophies, he observes, do not have a concept like nature at all, mainly because they do not view themselves as distinct from the world around them. The implication is unsettling: the modern Western mind, in carving the world into human and natural domains, may have manufactured the very alienation that licenses ecological destruction. Once the Earth is deemed dead or inert, practices such as mountaintop removal, fracking, and oil drilling become thinkable, even legitimate, because there is no living community to injure.

LaMothe traces the genealogy of sovereign masculinity through political and psychoanalytic mythology alike. He points to the origin myths of Scripture and their counterparts in the origin myths of philosophers and psychoanalysts such as Thomas Hobbes and Sigmund Freud. Freud’s imaginative recreation of the origins of society in Totem and Taboo, in which the father of the clan dominates others only to be killed and overthrown by his progeny, essentializes and leaves unquestioned male sovereignty. Hobbesian political thought, meanwhile, implies that communal life depends on civilization, and therefore that ruling epistemologies are necessary for social order, a view that renders those deemed uncivilized subject to the whims and cruelties of nature and helps justify the colonization of other human beings and everything falling under the construct of nature. Even Aristotle, who believed animals have souls, placed them within a hierarchy crowned by human beings, diminishing the significance of other-than-human animals and othered humans alike.

The paper does not pretend that concern for animals is absent from Western history. LaMothe catalogues a counter-tradition stretching back to antiquity: Plutarch argued for the rights of animals, and the third-century Neoplatonist Porphyry maintained that it was our moral duty to extend justice to other animals. Centuries later, Jeremy Bentham argued for animal welfare, and in the nineteenth century Arthur Schopenhauer raised concerns about animal rights. In recent decades, philosophers such as Peter Singer, Andrew Linzey, and Martha Nussbaum have explored the thorny ethical issues surrounding humanity’s treatment of other species. Yet LaMothe’s point is that these ethical currents have largely failed to reshape dominant masculinity, which remains tethered to apparatuses of sovereignty and mastery. Care ethics, developed by thinkers including Carol Gilligan, Nel Noddings, Joan Tronto, Virginia Held, and Maurice Hamington, offers resources, but they must be deliberately extended beyond human relationships to the more-than-human world.

What would becoming eco-cooperative and caring men and boys actually involve? LaMothe argues that forms of eco-masculinity sustain caring relations toward other species, and that such relations depend on capacities for vulnerability, empathy, and compassion vis-à-vis the other species that share this one habitable Earth. Vulnerability here is technical rather than sentimental: it means relinquishing the fantasy of invulnerability and control that sovereign masculinity demands, and accepting exposure to the needs, sufferings, and singularities of other creatures. Empathy and compassion, in this framework, are not merely feelings but practiced capacities that orient action toward the flourishing of particular animals, plants, and places. The affirmation of the singularities of other human beings and other species accompanies what LaMothe describes as a categorical ethical command to care for and cooperate with other species and the Earth, a formulation that deliberately echoes the unconditional structure of Kantian ethics while relocating its scope beyond humanity.

The paper finds exemplars of this stance in unexpected places, including male researchers whose scientific work manifests caring and ethical concern in relating to and cooperating with other species, such as Peter Godfrey-Smith, whose study of octopus minds models a form of engagement that neither dominates nor reduces the other. LaMothe also draws on Dana Lloyd’s account of Yurok earth-based theology, in which the Land itself is a living being: the Yurok believe the Earth is alive and has a spirit, motivating care for mountains, rivers, wildlife, and ocean in which each part is entangled with every other part. Because trees are considered living beings and members of the community, their removal is an attack on the community itself, which Lloyd argues should be understood as a continuation of genocidal policy rooted in epistemologies of ruling and deficiency. Such relational stances, LaMothe suggests, expose the poverty of the sovereign model.

He is equally candid about the limits of fashionable solutions. Chandler and Reid have objected to the tendency of anthropologists and others to argue that dealing with the climate crisis requires becoming Indigenous, citing Indigenous peoples’ history of resilience and ways of relating to the land. Yet even those critics conclude their book by calling for a recovery of the hubris on which modernity was built, and from which other worlds are yet to come. LaMothe’s verdict is blunt: the hubris of Western subjects is exactly what we do not need, because hubris, especially with regard to masculinities, has been a significant factor in the current climate crisis. The paper thus refuses both romantic primitivism and technological triumphalism, insisting instead on the harder work of transforming the emotional and ethical formation of men within Western societies themselves.

The significance of the argument extends well beyond pastoral theology. If LaMothe is right, then climate communication, environmental policy, and sustainability education may all be addressing symptoms while leaving intact the gendered apparatuses that reproduce domination across generations. Raising boys to equate manhood with control, invulnerability, and mastery does not merely constrain individual lives; it recruits them into an economy and politics that treat the living Earth as inert material. An eco-masculinity of care and cooperation, by contrast, would reframe strength as the capacity to remain vulnerable, to empathize across species lines, and to act on a categorical obligation to protect the singular creatures with whom humans share a single habitable planet. Whether such a transformation can occur at the scale and speed the climate crisis demands remains an open question, but LaMothe’s paper makes a compelling case that the answer will depend, in part, on what it means to become a man in the West.

Subject of Research: The relationship between Western masculinity, anthropocentric thought, and the climate crisis, and the development of an eco-cooperative, caring eco-masculinity

Article Title: (Western) Men and the Climate Crisis: Toward an Eco-Cooperative and Caring Masculinity

Article References: (Western) Men and the Climate Crisis: Toward an Eco-Cooperative and Caring Masculinity. (n.d.). https://doi.org/10.1007/s11089-026-01381-0

Image Credits: AI Generated

DOI: 10.1007/s11089-026-01381-0

Keywords: eco-masculinity, climate crisis, care ethics, Western philosophy, anthropocentrism, pastoral theology, sovereignty, animal ethics, Indigenous worldviews, Giorgi Agamben, vulnerability, environmental ethics

Horiuchi’s argument rests on a theory-driven synthesis that pulls together strands of research usually kept in separate silos: gerontechnology, social and assistive robotics, smart-home monitoring, the emerging scholarship on digital ageism, mainstream AI ethics, human enhancement debates, and capability-oriented accounts of aging and disability drawn from the tradition of Amartya Sen and Martha Nussbaum. From this interdisciplinary weave he extracts a four-pillar evaluative framework, comprising substantive opportunity, practical control, relation, and responsibility. Each pillar is a lens through which any AI- or robot-mediated care arrangement can be interrogated, and together they are meant to shift the conversation from deficit management toward what the author calls aging with dignity, relation, and room for revision and refusal.

The first pillar, substantive opportunity, borrows directly from the capability approach. It asks not whether a technology functions, but whether it widens the set of meaningful things a person can actually do and be. A fall-detection system that silently renders an apartment legible to remote monitors may reduce mortality statistics while doing nothing to restore a person’s ability to walk to the market, host friends, or pursue a lifelong hobby. Research on smart homes and home health monitoring, including systematic reviews of sensor technologies designed to support aging in place, has documented impressive technical reliability, but Horiuchi’s framework insists that reliability is not the same as opportunity. The question becomes: after the algorithm has done its work, is the older person’s real freedom larger or smaller?

The second pillar, practical control, tackles the everyday texture of human-machine interaction. Older adults are frequently positioned as passive beneficiaries of ambient intelligence, their homes instrumented with passive monitoring systems that require no action on their part. Ethnographic work on passive monitoring in low-income independent living has shown that residents are not simply grateful recipients; they actively interpret, negotiate, and sometimes resist the sense of being watched. Practical control asks who can turn the system off, who can correct its inferences, who understands what it is reporting, and whether the person retains what one might call breathing room in monitored space. A robot or monitoring platform that cannot be questioned, adjusted, or refused by its user, however technically elegant, fails this pillar.

The third pillar, relation, may be the most culturally charged. Socially assistive robots are already being trialed in dementia care, and studies of robots in advanced dementia care units report engagement and calming effects. Companion machines designed with trauma-informed care principles and humanoid robots used as memory trainers for people with mild cognitive impairment illustrate how far the field has moved. But Horiuchi, drawing on scholarship that explores affect and relationality across sites of intelligence and care, warns that a machine’s ability to occupy a relational slot does not automatically mean it enriches the human web of relations around the older person. The ethical question is whether a robot companion supplements fragile social networks or quietly substitutes for them, giving families and institutions a technological alibi for withdrawal.

The fourth pillar, responsibility, confronts the sprawling supply chains of contemporary AI. Large language models and generative systems in healthcare have prompted calls for urgent regulatory oversight, and research on the AI supply chain has revealed how modularity dislocates accountability, leaving developers with fragmented notions of who answers when something goes wrong. In eldercare, where misclassification can mean an overlooked fall or a false alarm of decline, this fragmentation is not an abstraction. Horiuchi argues that the ethical quality of a technology depends on the wider sociotechnical arrangement in which it is designed, deployed, maintained, interpreted, and refused, and that responsibility must therefore be assessed across that whole arrangement rather than pinned on a single device or codebase.

Two of the paper’s broader theses give the framework its intellectual bite. The first is that in super-aged societies, AI and robotics do not merely serve pre-existing needs; they help constitute what agency, dependency, care, and responsibility mean. This is the co-constitution thesis familiar from science and technology studies, where scholars have argued that aging and technology are mutually shaped rather than sequentially matched. A society that builds its care infrastructure around risk-minimizing sensors will produce different kinds of old age, and different kinds of dependency, than one that builds around mobility, creativity, and connection. The second thesis redefines enhancement itself. Against transhumanist framings that equate enhancement with youthfulness or optimization, Horiuchi argues that enhancement in later life should mean widening meaningful possibilities under changing bodily and social conditions, an idea that resonates with psychological models of successful aging built on selective optimization with compensation and with disability scholarship on the extended body.

The framework arrives at a moment of genuine technological ferment. Systematic reviews document a rapid proliferation of AI approaches for predicting and detecting cognitive decline, brain-computer interfaces being explored for cognitive enhancement in older people, personalized cognitive training platforms, and conversational agents whose perceptions and needs among older adults are only beginning to be mapped. Japan, the archetypal super-aged society, has poured public resources into eldercare automation, yet ethnographies of Japanese care robots have punctured boosterism by showing how robots reshape care work in ways that neither replace nor relieve human caregivers straightforwardly. Horiuchi’s contribution is to give researchers, care institutions, and policymakers a shared vocabulary for asking whether any of this machinery, at any point in its life cycle, is enabling or constraining the people it claims to serve.

Why does this reframing matter now? Because the default evaluative logic of the field is deficit management: count the falls prevented, the hospitalizations avoided, the minutes of caregiver time saved. Those metrics are not worthless, but they systematically undervalue what older people themselves often rank highest, namely autonomy, connection, and the ability to revise the terms of one’s own life. The capability-oriented literature on healthy aging has pushed in the same direction, shifting the lens from successful aging, which risks exalting a narrow standard of vigor, toward wellbeing through capability and human development for all older people, including those living with disability or frailty. Horiuchi’s four pillars give that philosophical shift a concrete evaluative instrument: for any AI-mediated arrangement, ask what substantive opportunities it opens, what practical control it grants, what relations it sustains or erodes, and where responsibility for its operation genuinely resides.

The paper also converges with a growing critical literature on AI ageism, which documents how algorithms trained on younger populations can misread older bodies and voices, and how digitalized services can exclude those least able to navigate them. By naming relation and responsibility as co-equal pillars alongside opportunity and control, the framework implicitly demands that ageism audits become part of standard deployment practice. And by insisting that refusal, the right to decline a technology altogether, is built into the ethical arrangement, it counters the quiet coercion that can seep into institutional care, where residents may feel they cannot say no to a monitor or a robot without seeming to reject care itself. In an era when longevity science is inflating expectations about radical life extension, Horiuchi’s modest, grounded proposal is a corrective: the measure of a technology for aging is not whether it defeats time, but whether it lets people fill the time they have with more of what matters to them.

Subject of Research: A conceptual framework for evaluating AI, robotics, and human enhancement by their effects on agency in aging societies

Article Title: Enabling later life: a four-pillar framework for AI, robotics, and human enhancement in super-aged societies

Article References: Horiuchi, S. (2026). Enabling later life: a four-pillar framework for AI, robotics, and human enhancement in super-aged societies. AI & SOCIETY. https://doi.org/10.1007/s00146-026-03381-3

Image Credits: AI Generated

DOI: 10.1007/s00146-026-03381-3

Keywords: artificial intelligence, robotics, aging, gerontechnology, human enhancement, digital ageism, care ethics, capability approach, social robotics, smart homes, AI ethics, super-aged societies