Reframing Justice in Healthcare AI: An Ubuntu‐Based Approach for Africa

ABSTRACT

There is an ongoing debate on how to balance the benefits and risks of artificial intelligence (AI), especially in healthcare. In resource‐constrained settings, such as Africa, where access to quality care remains a challenge, AI has the potential to improve efficiency, accessibility, and patient outcomes. Yet, its development and deployment raise complex ethical, legal, ecological, and socioeconomic concerns. To ensure context‐sensitive solutions, this paper introduces Ubuntu, a traditional African ethical philosophy, as a guiding framework for AI in African healthcare. Ubuntu offers a people‐centered alternative to dominant Western‐centric models, providing a culturally grounded lens for interpreting justice‐related principles in line with Africa's unique needs and realities. Drawing on Ubuntu's five core values of communalism, interdependence, humanism, sharing, and compassion, we analyze how these principles can ethically guide AI across three normative pillars: justice and fairness, solidarity, and sustainability. For each, we identify risks and offer concrete, culturally resonant strategies to address them. In doing so, we undertake a distinctive scholarly contribution that meaningfully enriches the emerging discourse on decolonizing AI by reframing Ubuntu not only as a moral compass but also as a strategic tool for structural reform and innovation.

1. Introduction

Artificial intelligence (AI) driven by big data is fueling the fourth industrial revolution. It can potentially revolutionize countless aspects of our lives and transform the healthcare industry in unprecedented ways. The concept of AI, which can be traced back to the 1950s, is “an umbrella term for a range of techniques that can be used to make machines complete tasks in a way that would be considered intelligent were they to be completed by a human” [1]. More specifically, AI in the healthcare milieu refers to “the use of intelligent data‐driven technologies that leverage healthcare resources and data more effectively to support and streamline decision‐making in healthcare and to consequently provide better healthcare services that are tailored to individual needs” [2]. In the Global South, particularly in Africa, where millions lack access to essential health services due to the underdevelopment of healthcare infrastructure and limited resources, AI has the potential to significantly enhance the efficiency, effectiveness, and accessibility of healthcare services [3]. This includes the delivery of healthcare services in rural areas, healthcare management, disease outbreak prediction and forecasting, and medical diagnosis [4, 5, 6, 7]. However, its development and deployment raise significant ethical, legal, ecological, and socioeconomic concerns, particularly around justice, fairness, solidarity, and sustainability. These concerns are further complicated by entrenched global power dynamics, data colonialism, and infrastructural inequities. Hence, there is a need to consider African moral frameworks such as Ubuntu as an alternative to dominant global discourses on AI justice, which are primarily shaped by Western philosophical traditions and priorities and better aligned with the continent's local realities, cultural values, and structural challenges [8]. In an African milieu, ethical decision‐making requires listening attentively and respectfully to others, which includes paying deep attention to their understandings, values, and worldviews that bond their lived experiences [9]. Thus, genuine ethical resolution of the challenges raised by the development and deployment of AI must be tailored to reflect the continent's unique needs and lived experiences that emerge “out of the dynamic encounter between the knowledge traditions as well as the interplay of multiple components comprising the human person” [10].

Ubuntu cannot be understood apart from the profound structural injustices it is meant to confront. Africa's engagement with AI unfolds against a backdrop of data colonialism, where vast amounts of African data are extracted by foreign corporations with little return to local communities. The region's reliance on imported technologies entrenches dependency on Global North infrastructures that are inclined to corporate profit‐making at the expense of local health priorities. These realities highlight why an African ethical lens is urgently needed, not only to imagine alternatives but also to resist extractive practices that jeopardize health sovereignty.

There is a growing body of scholarship [11, 12, 13, 14, 15, 16] that collectively advance the integration of African ethical traditions, particularly Ubuntu, within the discourse on AI and healthcare. These works address concerns such as communal well‐being, responsibility attribution in AI‐related harms, culturally sensitive LLM deployment, and trust in patient‐provider interactions. While insightful, most of these contributions focus on specific domains, such as informed consent, responsible research, responsibility gaps, healthcare management, data revolution, and relational ethics, without fully addressing the broader structural, ecological, and geopolitical dimensions of AI development and deployment in Africa.

This paper complements and extends this scholarship by advancing a justice‐oriented Ubuntu framework that integrates both ethical and practical recommendations in the development and deployment of healthcare AI. In doing so, we explore under‐examined pathways for contextually grounded and equitable AI integration in African healthcare, addressing global power imbalance, corporate profiteering, and environmental burdens. Our approach contributes to the emerging discourse on decolonizing AI by reframing Ubuntu not only as a moral compass but also as a strategic tool for structural reform and innovation. To ensure a focused and practical application, this paper examines Ubuntu through five core ethical principles: communalism, interdependence, humanism, sharing, and compassion. These values are considered alongside three widely recognized normative principles in AI ethics—justice and fairness, solidarity, and sustainability. We examine how the Ubuntu principles inform the ethical development and deployment of AI in African healthcare contexts, providing concrete recommendations to address key ethical challenges. Moreover, we contend that, alongside Ubuntu's ethical foundations, designing socially responsible AI algorithms and aligning them with human values are moral imperatives essential to ensuring that disruptive technologies, such as AI, contribute meaningfully to African healthcare and society at large [17, 18].

2. Ubuntu as an African Ethical Framework

Ubuntu, as an ethical concept, articulates the very essence of being human by affirming the inherently communal nature of human existence [19]. It emphasizes that our humanity is realized through relationships with others, highlighting the social and interconnected fabric of human life. Ubuntu (ubu—the process of becoming and ntu—the spirit) teaches that “a person is a (genuine) person through other persons—umuntu ngumuntu ngabantu” [20]. This ancient Xhosa (Zulu) maxim aims to encourage and promote the consciousness and actualization of a shared commonality of purpose among humans. One achieves Ubuntu by putting oneself on behalf of others, which is diametrically opposed to the common concept of Western egoism (belief that people should act in their own self‐interest). As an African ethical system, Ubuntu is inherently service‐oriented and emphasizes action through moral responsibility. It aligns with the ancient Kemetic concept of Maat, which encompasses values like caring, justice, truth, and harmony, all directed toward realizing a shared and humane existence [10]. Overall, each moral act of an individual in an Ubuntu‐driven system directly or indirectly affects the whole and vice versa, because “we can only be human together” [21].

The Ubuntu ethical approach emphasizes the understanding that the identification, accomplishment, and sustenance of the common good demand certain collaborative efforts. Such approach, grounded in interpersonal, social, and communal life, implies a human and environmental solidarity. Verhoef and Michel describe African indigenous ethical and moral systems as covenantal and circular, such that any imbalance could lead to the destabilization of family and community, including the social cohesion of the cosmos. An equilibrium in the community is attainable when individuals adopt their respective responsibilities aware that the sheer negligence of communal duties can result in chaos and societal instability [22].

The collective responsibility emphasized by service‐oriented Ubuntu ethics draws attention to the risks of AI‐related data bias, discrimination, greed, privacy issues, environmental concerns, and conflicts with patient preferences. Unlike AI systems, which operate based on predefined rules, models, or training data, Ubuntu promotes the continuous growth of each person toward a holistic and humane existence. Ubuntu‐inspired African epistemology teaches that reality is undivided and exists in its wholeness and interconnections as a force of energy that is constantly in motion as matter [23]. Wholeness implies that “the separation of moral and ethical conduct from people's aspects of life, such as community, art, and lived experiences (participation), is meaningless [24]. In Europe and America, ethical principles are often tied to individual autonomy and personal choice. In contrast, African ethical thought is grounded in communal well‐being, holding that the community cannot be considered truly well until the well‐being of all its members is guaranteed [22].

One can meaningfully discuss the ethical foundations of science, but not the scientific foundations of ethics. As Albert Einstein (1954) observed, science seeks to explain how things work, but it does not address questions of purpose or morality [25]. It cannot answer the most profound human questions—Who am I? Why am I here? Where am I going? For this reason, the development and deployment of healthcare AI must be guided by a robust ethical framework like Ubuntu to safeguard human dignity and ensure long‐term sustainability. An intermingling of AI and Ubuntu affirms the wisdom in this African proverb: If you want to walk fast, go alone; but if you want to go far, find a companion. While AI may accomplish tasks more quickly, it might not fully guarantee its accuracy, patients’ safety, and other inherent ethical concerns in isolation. Collaboration, partnership, and communality are core values in African ethical thought that should form the bedrock of sustainable AI. Although the communal orientation rooted in Ubuntu ethics is sometimes dismissed as an African cultural instinct, it is essential to acknowledge that cultural values are deeply intertwined with human ethics and lived practices [26].

At the heart of Ubuntu ethics lie five foundational values: communalism, which emphasizes the collective over the individual through collaboration, shared responsibility, and mutual support; interdependence, which underscores the interconnectedness among people and with the environment, affirming that each person's actions shape the well‐being of the whole; humanism, which affirms the inherent dignity and worth of all life forms, not based on rationality but on shared participation in the life force; sharing, which reflects a deep commitment to generosity, cooperation, and mutual upliftment as a path to social cohesion; and compassion, which anchors Ubuntu in empathy, kindness, and relational care, recognizing that human flourishing depends on solidarity, especially in times of vulnerability.

We posit that Africa, grounded in these Ubuntu values, is well‐positioned to engage meaningfully with the development and deployment of AI. The ethics of Ubuntu offer an alternative to the autonomy‐centered healthcare model predominant in Western contexts, providing a framework rooted in communal responsibility, relational care, and shared human dignity [10]. While AI integration in healthcare holds the promise of enhancing efficiency, effectiveness, accessibility, and addressing gaps in human capacity and infrastructure, Ubuntu ethics serves as a vital guardrail against the dehumanizing risks of technological apathy.

We acknowledge that Ubuntu itself is not without limitations. While its communal ethic offers a powerful alternative to individualistic models of agency, it may raise tensions with personal autonomy and legal obligations. Collective duties, if uncritically applied, can risk burden‐shifting or diffused accountability. When “we” are collectively responsible, it is not always clear who bears the burden when harm occurs. This danger of “passing the buck” highlights the need for institutional mechanisms that pair communal solidarity with explicit accountability. Our framework for the integration of healthcare AI deploys Ubuntu in a balanced ethical approach as one that affirms relationality without undermining individual moral agency.

3. Three Normative Principles in AI Ethics

In the next section, we examine three normative principles widely cited in AI ethics: justice and fairness, solidarity, and sustainability, and explore how Ubuntu values can inform their application in the development and deployment of ethically responsible AI in African healthcare.

3.1. Justice and Fairness

Justice, in both philosophical and practical terms, is complex. For Aristotle, justice is a virtue essential to human flourishing and societal well‐being, comprising what is lawful and fair. Fairness, in this context, entails both the equitable distribution of benefits and burdens known as distributive justice and the correction of inequities when they arise. While distributive justice focuses on how resources and responsibilities are fairly shared within a community, corrective justice seeks to restore balance in interpersonal relationships when fairness has been disrupted [27]. John Rawls introduced a contemporary approach to distributive justice, termed “justice as fairness,” and proposed a systematic approach designed to ensure that social and economic inequalities are arranged to the maximum benefit of the least advantaged members of society [28]. The principle of justice entails promoting prosperity, preserving solidarity, and avoiding unfairness [29] to ensure that “no person or group is subject to discrimination, neglect, manipulation, domination, or abuse” [30]. The limited scope of this paper will not permit an in‐depth exploration of the concept of justice, but suffice it to say that Ubuntu ethics aligns with these views, but adds a culturally grounded imperative: “we can only be human together.” Thus, justice through Ubuntu demands an inclusive and participatory approach to AI that not only guarantees the fair and equitable distribution of both the benefits and burdens of AI across the African society but reinforces human dignity and social cohesion.

In recent years, growing attention has been paid to translating such justice‐oriented ideals into concrete frameworks for ethical AI, particularly in healthcare. This has given rise to a rich body of scholarly and gray literature seeking to contextualize mainstream ethical frameworks, many of which have been critiqued for their Western‐centric assumptions, within global health settings [8, 31]. Fletcher et al. discussed bias, fairness, and the appropriate use of AI in global health, providing guidelines and recommendations for assessing AI appropriateness, identifying bias, and enforcing fairness [32]. Similarly, Kong et al. presented an ethical AI framework for clinical, public, and global health, with key components focusing on responsibility, explainability, and locality [33]. Furthermore, Wahl et al. explored the issues that could undermine patients’ and clinicians’ trust in the accuracy of AI systems, data access, data ownership, AI bias, and transparency, as well as the implications of the “Do no harm” principle in the context of AI and global health [34]. In addition, Alami et al. proposed five key building blocks for responsible and sustainable healthcare AI in low‐resource settings: training and retaining local expertise, robust system monitoring, system‐based implementation strategies, and inclusive engagement of local stakeholders, especially women, minorities, and poor communities in AI development [35]. Other scholarly works have focused on the contextualization of data access, privacy, and protection, as well as data availability and quality, accountability, infrastructure inadequacy, and the cost of access to AI [7, 36, 37]. From a technical perspective, Asiedu et al. discussed African perceptions of AI bias and fairness, as well as guidelines for selecting algorithmic fairness attributes [38].

Despite these contributions, justice in AI healthcare ethics is often discussed mainly through the lens of bias mitigation, fairness [32, 34, 38] enforcement, and access to technology [7]. While valuable, such discussions usually lack the deep moral grounding and holistic perspective that African ethical frameworks, such as Ubuntu, offer. Here, we argue that the Ubuntu ethical framework calls for sustainable AI‐driven healthcare systems that go beyond superficial fairness by addressing structural inequities, resource distribution, and community well‐being. Ubuntu ethics urges the development of technology that serves the common good and empowers equitable access to energy, water, and healthcare infrastructure while reducing AI's environmental footprint.

Justice in AI from an Ubuntu standpoint entails the fair and equitable distribution of both the benefits and burdens of AI technologies across African societies. Distributive justice requires that everyone have equitable access to the primary healthcare necessary for living a fully human life, insofar as there is a fundamental human right to healthcare [39]. The healthcare disparities between the Global North and South, particularly the digital divide, reflect a profound injustice [40]. Africa is a continent of 1.4 billion people (approximately 18% of the global population) that contributes less than 3% of the global GDP but bears over 20% of the global disease burden [41]. In the Global North, especially the United States (US) and Europe, healthcare AI is already revolutionizing the delivery of care in various spheres of medicine, such as diagnostics, personalized medicine, and the pharmaceutical industry, but healthcare AI in Africa faces a significant challenge regarding the substantial financial investment required to develop, implement, and sustain complex technologies for delivering digital healthcare services which vary from a few hundred to several million dollars [42, 43, 44]. The initial high costs of implementing and maintaining these technologies may strain and collapse Africa's meager financial resources for healthcare practices and systems, potentially hindering their widespread adoption. The disregard for the unequal distribution of healthcare AI not only violates the principle of distributive justice but also the Ubuntu spirit that no one should be left behind [45].

Africa's healthcare challenges demand urgent ethical redress through AI design, implementation, and governance that are context‐sensitive and equity‐driven. In line with the Ubuntu ethos that “we can only be human together,” justice calls for bridging the unequal deployment of healthcare AI through strategic capacity‐building across the continent. Currently, much of Africa's AI development is driven by external entities, private firms, multinationals, and global organizations, with infrastructure based outside the continent and supported by African experts due to limited local research and development opportunities [46]. The Montreal Declaration strongly argues that the development of AI should promote justice and seek to eliminate all types of discrimination. Similarly, the European Commission's Group on Ethics in Science and Technology asserts that AI should contribute to global justice and equal access to the benefits of AI technologies [47]. Thus, Ubuntu ethics places a moral imperative on all AI stakeholders to invest in building the capacity for healthcare AI development and implementation on the continent. A good place to start is by investing in young African entrepreneurs, local developers, policymakers, and healthcare workers who are interested in AI development and its application in healthcare. Such an initiative would create room for regional solutions and change the ugly narrative that foreign AI companies use false African identities (and experts) as marketing tools to raise capital and eventually cash out [48]. It would also assuage the fears of data colonialism and exploitation in an era when the data revolution in Africa is described as the “new gold” or the “new oil” [49]. Building local capacity for healthcare AI development would expand access to healthcare, ensuring that those in greatest need of care receive it.

The unequal access to AI technologies further exacerbates the existing health disparities, particularly in rural and underserved regions of Africa that can amplify socioeconomic inequalities and have substantive cultural consequences by reinforcing stereotypes, cultural representation, and visibility [50]. We recognize that claims of “inclusive” consultations before integrating healthcare AI can also obscure the reality that some of the most affected voices remain unheard. Rural women, people with disabilities, traditional healers, and those in deeply resource‐limited contexts are often absent from AI governance processes. When these groups are excluded, outcomes benefit the elites while marginalizing those who stand to be most impacted. As Iris Marion Young argues in Inclusion and Democracy, truly inclusive political communication requires expanding beyond rational deliberation to include narratives, experiences, and forms of speech that bring marginalized perspectives into the center [51]. Social difference, when acknowledged, becomes a political resource rather than an obstacle, reminding us that just AI governance must prioritize the voices of the least heard.

To address these issues, the World Health Organization (WHO) appeals that “industry and governments should strive to ensure that the “digital divide” within and between countries is not widened and ensure equitable access to novel AI technologies,” a call endorsed by United Nations Educational, Scientific and Cultural Organization (UNESCO) [52, 53]. One potential solution for addressing these gaps is to reduce financial barriers and allow for adaptation to local healthcare needs through open‐source AI. Open‐source AI can enhance transparency, foster collaboration, stimulate innovation, and increase the accessibility of AI technologies. Open‐source platforms, such as Hugging Face, offer a diverse range of pre‐trained AI models and resources that can be adapted and fine‐tuned to suit specific needs and contexts, particularly in Africa. Countries with limited expertise and resources can access cutting‐edge AI tools without the burden of excessive costs typically associated with proprietary models. However, this potential is tempered by several challenges. Many African countries lack the necessary infrastructure, such as computing power, internet connectivity, and technical expertise, required to effectively deploy and sustain open‐source AI models. Additionally, these models are often trained on data sets sourced predominantly from high‐income countries, which can embed cultural and demographic biases that may not accurately reflect African realities. Furthermore, privacy concerns arise when sensitive data is used to train these models, introducing risks of data misuse, security breaches, and increased vulnerability for already marginalized populations [54]. Considering Ubuntu ethics, there is a need for additional safeguards before implementation to ensure that we not only share AI technologies but do so in ways that protect dignity, ensure security, and amplify local capacities. We caution that not every AI project introduced under the banner of “capacity building” or “open source” is benign. Some initiatives replicate old patterns of technological extraction, exploiting African data and labor while offering little in return to local systems. Ubuntu must therefore be applied critically, not as a romanticized shield, but as a lens that exposes power asymmetries and demands accountability.

It is equally important to mention that while we advocate for the integration of healthcare AI in a fair and just manner, there are valid questions raised about whether AI is always the most urgent or effective response to Africa's healthcare challenges. While AI has potential to improve diagnostics and resource allocation, many communities might benefit more immediately from expanded investments in healthcare workers, improved rural infrastructure, and resilient supply chains. Ubuntu ethics requires discernment: justice is not served merely by adopting AI innovations, but by asking whether such tools genuinely meet the most pressing needs. In some cases, the ethical path may be to prioritize human and infrastructural investments over digital ones.

3.2. Solidarity

We are more interconnected and interdependent on one another than ever in human civilization. The concept of human solidarity refers to “a disposition that each can have to act in solidarity with some others…a willingness to acknowledge need in everyone else and to act in general ways to support their human rights, especially by working toward the construction of transnational institutions that can allow for their fulfillment worldwide…” [55]. Human solidarity aligns with core Ubuntu values, which espouse universal interdependence and communality, advocating for sharing and the building of trusting relationships grounded in mutual compassion and respect. It also requires listening and affirming others, sharing resources, and making essential services available [56, 57]. When Ubuntu values serve as the bedrock of human solidarity, the goal of actualizing the purpose of human life is guaranteed through mutual responsibility for the needs and well‐being of others. Solidarity in the context of AI‐driven healthcare involves a collective commitment to ensuring that the benefits of technological advancements are equitably distributed and accessible to all individuals regardless of their geographic location or socioeconomic status. Such commitment also calls for sustainable use of resources such as energy and water, which are already scarce in Africa and needed for AI development. A failure in the sustainable development of AI could deepen existing social inequalities across the continent.

The WHO affirmed the right to health as a human right, which includes four essential elements: availability, accessibility, acceptability, and quality [58]. Human solidarity imposes a moral obligation on everyone to care about global issues, particularly in the Global South. We argue that since individuals have a right to health care, solidarity calls for sustained collaboration and partnerships among AI stakeholders and local governments, NGOs, healthcare providers, academic research institutions, and civil society organizations to ensure that, through sustained “localized and innovative interdisciplinary research,” the benefits of AI are aligned with the healthcare needs of the continent [59]. One of the significant challenges in deploying healthcare AI in Africa is the lack of clinical and high‐quality data sets for training the models, which is directly related to high preparation costs and time associated with data acquisition [7]. Such impediments call for concerted efforts and resources to scale up the necessary infrastructure to build an ethical and responsible AI on the continent. The principle of solidarity demands that societal benefits accruing from the deployment of healthcare AI should not be limited to high‐income countries alone but should be available to those in most need of care by “making AI tools open‐source and user‐friendly” [60].

Closely aligned with the concept of solidarity is concern for the common good, a foundational principle of Ubuntu ethics that emphasizes communalism, interdependence, and shared responsibility. Common good is described as “certain general conditions that are … equally to everyone's advantage” [28]. In the African context, the common good encompasses the socio‐political, economic, cultural, and spiritual factors that enable individuals to realize their potentials [61]. The WHO estimates that by 2030, there will be a shortage of 18 million healthcare workers, predominantly in lower to middle‐income countries [62]. The Ubuntu ethos of “we rise by lifting others” places a moral obligation on all members of society to recognize that each person's well‐being is bound to that of the human community. AI technologies, if guided by this ethos, can help bridge Africa's healthcare access gap by enabling remote consultations and diagnostics, supporting overburdened systems, and amplifying limited human resources [34, 63]. However, the proprietary nature of AI threatens this vision, as private companies may prioritize profit over equitable access, especially in data‐rich yet resource‐poor African settings [64, 65]. Such commercial exploitation undermines Ubuntu's principles of sharing, compassion, and collective care. We advocate that AI development should embody corporate social responsibility, echoing the assertion that AI must “be developed for the common good and the benefit of humanity” [47]. Choosing the path of solidarity and Ubuntu over corporate greed is not only a moral imperative, but also essential in ensuring that the promise of AI serves Africa's most vulnerable persons, not merely its most profitable.

3.3. Sustainability

Sustainable AI in Africa demands a holistic approach that reflects Ubuntu's interconnected values of communalism, interdependence, humanism, sharing, and compassion. The Ubuntu principle of interdependence emphasizes that the well‐being of individuals and communities is inextricably linked to environmental balance. Thus, healthcare AI development in Africa must be pursued in a manner that mitigates environmental degradation and upholds communal responsibility for sustainable ecosystems. While there is growing interest in developing “local” AI technologies in Africa the development of such technologies requires large computing and infrastructure capacities, which can lead to substantial environmental impacts [66]. For instance, modern generative AI models such as ChatGPT consume the energy of about 33,000 households and also exert immense pressure on global water demand, estimated to be half that of the United Kingdom, to maintain optimal temperatures of servers and computing equipment [67]. These resource demands, though lower than those in Western settings, may worsen Africa's existing energy and water scarcity. Approximately two‐thirds of the African population, especially in Sub‐Saharan Africa, lacks access to electricity, and around 40% lacked access to safe and affordable water in 2017 [68, 69].

In addition to the ecological impact, AI development also risks amplifying social inequalities, since access to energy and water is closely linked to poverty and income distribution [70, 71]. Ubuntu's principle of humanism, which affirms the dignity of all life forms, not only rational or autonomous beings, demands that AI technologies be designed with the most vulnerable in mind, especially in the continent of Africa, already suffering from resource deprivation. As Alami et al. argue, sustainability in low‐resource settings requires multi‐stakeholder collaboration to create inclusive, community‐serving innovations [72]. Here, Ubuntu's communalism provides a normative guide, advocating for technological efforts that reflect circular, covenantal ethics and prioritize collective well‐being over corporate interests [22]. Sustainability must also extend across the entire AI lifecycle, including maintenance and post‐deployment practices [73]. In many African regions, failure to maintain AI systems can lead to wasted investments and further entrench systemic inequities [52]. Ubuntu's sharing ethos, which prioritizes lifting others through mutual aid, speaks directly to this need for equitable distribution and ongoing support in healthcare delivery.

The Precautionary Principle (aka, the “Precautionary Approach”) offers another Ubuntu‐aligned ethical lens, placing the burden of proof on AI stakeholders to demonstrate that AI development will not harm people or the environment [74, 75]. Originating in German environmental foresight or Vorsorge, the principle affirms: “When activity raises threats of harm to human health or the environment, precautionary measures should be taken even if some cause‐and‐effect relationships are not fully established scientifically. In this context, the proponent of an activity, rather than the public, should bear the burden of proof” [76]. Though originally grounded in environmental policy, it has since been applied in biotechnologies, health protection, and ethics more broadly [77].

We argue that the principle of compassion provides a moral imperative against the deployment of exploitative or apathetic AI. As the Ubuntu‐aligned African proverb teaches, “If you want to walk fast, go alone; but if you want to go far, find a companion.” This philosophy emphasizes that compassion and collaboration are essential to sustainability, especially in overburdened African healthcare systems, ensuring that AI serves not just technological progress but also human dignity and environmental justice.

4. Practical Recommendations

To operationalize the Ubuntu‐inspired framework outlined above, we propose the following concrete, interlocking strategies in addition to the recommendations previously discussed. Each set of recommendations addresses one of the three normative principles: justice and fairness, solidarity, and sustainability, while incorporating core Ubuntu values, including communalism, interdependence, humanism, sharing, and compassion.

4.1. Justice and Fairness

4.1.1. Ensuring Equitable Access to AI Technologies

4.1.1.1. Deploy Open‐Source Models Tailored to Local Needs

There is need to curate and maintain open‐source healthcare AI models fine‐tuned with African clinical data, building on successful platforms like Hugging Face's AfriMed‐QA data set, which contains 15,000 pan‐African medical questions from 16 countries [78, 79]. The Africa Compute Fund's Monarch‐1 model demonstrates how AI can be optimized for African linguistic and cultural contexts [80]. Similarly, we advocate for the establishment of regional “AI Hubs” hosting these models on low‐cost servers with offline compatibility, similar to the AI Hub for Sustainable Development launched by United Nations Development Programme (UNDP) and endorsed by G7 leaders [81].

4.1.1.2. Subsidize Infrastructure and Connectivity

We recommend partnerships with governments and telecom providers to subsidize compute resources, leveraging successful models like Cassava Technologies’ planned AI Factory across South Africa, Egypt, Kenya, Morocco, and Nigeria [82]. This will benefit healthcare in Africa by ensuring that rural clinics and district hospitals have reliable digital connections, allowing AI tools to support telemedicine, diagnostics, and patient record systems in real time. Without subsidized connectivity, AI‐enabled healthcare will remain concentrated in urban centers to the detriment of vulnerable patients in rural areas.

4.1.2. Promoting Fairness Through Inclusive Data and Algorithmic Practices

4.1.2.1. Community‐Centered Data Set Curation

We propose engaging community advisory boards following the “Made in Africa AI” approach that prioritizes community‐driven, participatory methods and indigenous definitions of success [83]. For healthcare, this approach guarantees that data sets reflect the realities of African patient populations, from rural disease burdens like malaria to maternal health outcomes, rather than over‐relying on Western clinical data that misses local contexts.

4.1.2.2. Regular Bias Audits

There is a need to conduct bias audits using frameworks developed by initiatives like the African AI Ethics and Human Rights research project, which supports interdisciplinary research across seven African countries [84]. Such bias audits can safeguard against misdiagnoses, for example, ensuring dermatological AI systems perform equally well on darker skin tones, or that maternal care algorithms account for local epidemiological differences.

4.2. Solidarity

4.2.1. Fostering Global Solidarity and Capacity Building

4.2.1.1. Open Collaboration Networks

We suggest the establishment of pan‐African AI consortia, building on existing initiatives like the AI Africa Consortium led by the University of Witwatersrand and the African AI Council, endorsed at the Global AI Summit in Rwanda [85]. Similarly, we advocate for the support of the Smart Africa alliance of 40+ African countries in coordinating continental AI strategies [86]. Such pan‐African networks can pool scarce clinical data, coordinate disease surveillance, and share AI solutions for epidemic response, ensuring solidarity is lived out in health crisis preparedness.

4.2.1.2. Localized Training and Education

We propose developing community‐based training programs, exemplified by the African Observatory on Responsible AI's capacity building initiatives and the AI Ethics and Policy in Africa course scholarships for African women leaders [87]. Training frontline healthcare workers, not just computer scientists, in the ethical use of AI empowers nurses, midwives, and physicians to integrate AI into patient care safely and confidently.

4.3. Sustainability

4.3.1. Embedding Environmental and Operational Sustainability

4.3.1.1. Green AI Practices

We propose a prioritization of lightweight model architectures using techniques like quantization and pruning, which have achieved 30% energy reduction in implementations like Google Edge TPU and 60% model size reduction while maintaining performance [88]. Similarly, there is a need to implement edge computing solutions that process data locally, reducing energy consumption and supporting Africa's renewable energy initiatives [89]. Greener AI guarantees that diagnostic tools deployed in under‐resourced clinics do not worsen already fragile electricity grids or water shortages needed for hospital operations.

4.3.1.2. Lifecycle Stewardship

It is important to establish local “AI stewards” for maintenance and performance monitoring, supported by continental frameworks like the African Union's Continental AI Strategy [90]. In practical healthcare terms, lifecycle stewardship means ensuring diagnostic AI devices in rural clinics are regularly updated and maintained, so that early investments do not quickly become obsolete and leave patients unserved.

4.3.1.3. Multi‐Stakeholder Ethics Oversight

It is essential to form regional ethics committees incorporating Ubuntu principles, building on multi‐stakeholder governance frameworks already implemented in Southern Africa [91]. The EthiXPERT platform provides an example of AI‐based support for African research ethics committees [92]. For African healthcare, ethics committees should include patient advocates, nurses, and community health workers to ensure AI governance reflects the realities of those who directly deliver and receive care.

4.3.1.4. Feedback Loops and Adaptive Governance

It is vital to implement mobile and web‐based feedback channels for real‐time reporting of errors and ethical concerns, utilizing established systems like the AI Incident Database (incidentdatabase.ai), which tracks over 1,200 AI incidents globally, and the MIT AI Incident Tracker, which classifies incidents by risk domains and harm severity [93, 94]. The feedback channels allow patients and providers to report misdiagnoses or usability issues directly, so that AI tools evolve responsively to the real conditions of African clinical practice.

We submit that while many of these recommendations may echo existing and isolated initiatives, the integration of Ubuntu values of communalism, interdependence, humanism, sharing, and compassion elevates their moral significance. By grounding these strategies in an African ethical tradition, we affirm that they are not merely technical fixes but moral imperatives that demand urgent prioritization in the development and deployment of AI in African healthcare. Finally, a critical reflection is warranted on the AI ethics concept of “value alignment.” Too often, this presumes that human values are universal and fixed. In reality, values are always shaped by politics, culture, and power, and the question of whose values are embedded in AI systems remains contested. Even Ubuntu, while offering a powerful ethical framework, is not monolithic: it will be interpreted differently by diverse African communities and professional groups. Following Young's insight that difference is a political resource the challenge is not to enforce a single definition of Ubuntu but to cultivate plural, dialogical interpretations that prevent domination and ensure accountability [51].

5. Conclusion

This paper argues that the integration of AI in African healthcare should be guided by Ubuntu ethics—a philosophy deeply rooted in communality, human dignity, and relational accountability. While the promise of AI in addressing systemic healthcare challenges across Africa is compelling, its design, development, and deployment must align with ethical imperatives that reflect Africa's unique socio‐cultural and environmental realities. We examined how Ubuntu principles—communalism, interdependence, humanism, sharing, and compassion, resonate with and enrich globally dominant AI ethics frameworks, particularly the normative principles of justice and fairness, solidarity, and sustainability. In doing so, we showed how Ubuntu not only complements but also challenges dominant Western paradigms that prioritize autonomy and individualism, offering instead a holistic model that views technology as a means to advance the collective good. Key challenges such as biased data, unequal access, environmental degradation, and social exclusion were explored through an Ubuntu lens, revealing both the ethical risks of uncritical AI adoption and the transformative potential of AI systems developed with relational ethics at their core. Ubuntu's emphasis on shared responsibility and inclusive well‐being requires that AI systems be co‐designed with local communities, taking into account environmental constraints and being attentive to the voices of those who have been historically marginalized. We advocate for a decolonial and context‐sensitive approach to healthcare AI in Africa that balances technological advancements with Ubuntu values. In placing Ubuntu at the center of Africa's AI journey, we affirm that true innovation must be both ethically grounded and socially responsive.

Conflicts of Interest

The authors declare no conflicts of interest.