Introduction: Africa's Moment in the AI Conversation
The global discourse on artificial intelligence governance has reached a critical inflection point. As nations and institutions scramble to establish ethical frameworks, regulatory structures, and development priorities for AI, Africa finds itself at a crossroads. We can either import wholesale the frameworks developed elsewhere, frameworks often shaped by individualist assumptions and extractive economic logics, or we can draw upon our own rich philosophical traditions to offer something distinctive and valuable to the world.
This article argues for the latter path. Specifically, it proposes that Ubuntu, the Southern African philosophy captured in the Nguni proverb umuntu ngumuntu ngabantu (a person is a person through other persons), offers a powerful foundation for what we might call "values-based realism" in AI governance. This approach neither succumbs to naive technological utopianism nor retreats into reactionary rejection of AI. Instead, it charts a middle course: engaging seriously with AI's transformative potential while insisting that such transformation serve the flourishing of human communities and relationships.
The stakes could not be higher. AI systems are already reshaping healthcare delivery, agricultural planning, financial services, education, and governance across our continent. The choices we make now about how to develop, deploy, and regulate these systems will echo for generations. Ubuntu gives us the philosophical resources to make those choices wisely.
Understanding Values-Based Realism
Before exploring Ubuntu's specific contributions, we must understand what "values-based realism" means in this context. The term combines two essential orientations.
The "values-based" component insists that AI development cannot be guided by efficiency metrics alone. Technical capability must be subordinated to substantive visions of human flourishing. This stands in contrast to approaches that treat ethics as an afterthought, something to be "bolted on" after systems are designed, or that reduce ethics to compliance with minimal regulatory requirements.
The "realism" component acknowledges that we operate under genuine constraints. Resources are finite. Institutions have limited capacity. Power is unevenly distributed. Trade-offs are unavoidable. A values-based approach that ignores these realities becomes merely aspirational, a set of noble principles that never translate into changed practice. Realism without values, however, collapses into mere accommodation of existing power structures.
Values-based realism thus seeks to hold both imperatives in creative tension: maintaining fidelity to substantive ethical commitments while engaging pragmatically with the world as it actually is. This is precisely where Ubuntu proves invaluable.
Ubuntu's Core Philosophical Contributions
Relational Ontology
Ubuntu's most fundamental contribution is its relational understanding of personhood. In dominant Western philosophical traditions, the traditions that have largely shaped Silicon Valley's approach to technology, the self is conceived as essentially autonomous and self-sufficient. The paradigmatic human is the rational individual who exists prior to and independent of social relationships.
Ubuntu inverts this picture. On the Ubuntu view, we do not first exist as isolated individuals who then choose to enter into relationships. Rather, our very identity is constituted through our relationships with others. We become persons, we achieve our humanity, through our embeddedness in webs of mutual recognition, care, and obligation. The community is not merely instrumentally valuable (useful for achieving individual goals) but constitutively valuable (essential to who we are).
This relational ontology has profound implications for AI. If personhood is fundamentally relational, then AI systems must be evaluated not merely by how they affect isolated individuals but by how they strengthen or weaken the bonds between people. An AI recommendation system that maximises individual engagement while fragmenting shared understanding and common experience fails the Ubuntu test, even if it succeeds by conventional metrics.
Dignity Through Recognition
Related to its relational ontology, Ubuntu emphasises that human dignity is not merely an abstract property that individuals possess. Dignity must be actively recognised and affirmed by others. We experience our worth through being seen, acknowledged, and treated as full members of the human community.
This has immediate relevance for AI systems that mediate human interactions. Consider AI-powered customer service systems that route users through decision trees without ever allowing them to speak to a human being. Or predictive policing algorithms that treat individuals as statistical risks rather than as persons with histories, contexts, and potentials. Or content moderation systems that silence voices without explanation or appeal. From an Ubuntu perspective, these systems inflict a distinctive harm: they deny recognition. They treat persons as objects to be processed rather than as subjects to be encountered.
Obligations of Care
Ubuntu is not merely descriptive but normative. It does not simply observe that humans are relational; it insists that our relationality generates obligations. Because I am who I am through others, I owe those others care, respect, and solidarity. The elderly are not burdens to be managed but elders whose wisdom sustains the community. The vulnerable are not problems to be solved but kin whose flourishing is bound up with our own.
Applied to AI, this means that the communities affected by AI systems have claims on those who develop and deploy them. These claims go beyond merely avoiding harm. They include positive obligations: to include affected communities in design processes, to ensure that benefits are shared, to maintain relationships of accountability and responsiveness. Ubuntu reframes AI governance from a matter of setting limits to a matter of fulfilling responsibilities.
Practical Applications for African AI Governance
How might these philosophical insights translate into concrete policy and practice? The following sections offer specific recommendations for African policymakers, technologists, and civil society organisations.
Redefining Success Metrics
Current AI development is driven largely by metrics that reflect individualist and extractive assumptions: user engagement, conversion rates, efficiency gains, cost reductions. An Ubuntu-informed approach would supplement (not necessarily replace) these with relational metrics. How does this system affect trust within communities? Does it strengthen or weaken social solidarity? Does it create reciprocal value or merely extract it? Does it enhance people's capacity to fulfil their obligations to one another?
Developing such metrics is not straightforward, relational goods are harder to quantify than engagement statistics. But difficulty is not impossibility. Social scientists have developed sophisticated measures of social capital, community cohesion, and institutional trust. African AI initiatives should invest in adapting and extending these measures for the AI context, creating assessment frameworks that capture what Ubuntu tells us truly matters.
Participatory Design and Governance
If personhood is constituted through relationship, then excluding people from decisions that affect them is a form of diminishment. This principle supports robust requirements for participatory design in AI systems. But Ubuntu pushes us beyond procedural participation, ticking boxes by holding consultations that do not actually influence outcomes, toward genuine co-creation.
Practically, this means that AI systems deployed in African contexts should involve affected communities not merely as sources of data or feedback but as partners in defining problems, designing solutions, and governing deployments. This is especially important for AI applications in agriculture, healthcare, and public services, where the systems will directly shape people's lives.
The challenge is that meaningful participation requires resources: time, information, and capability. African governments and development partners should invest in building community capacity for AI engagement, including digital literacy programmes, community technology centres, and civil society organisations focused on AI accountability.
Data as a Relational Good
The dominant paradigm treats data as a resource to be extracted and exploited, a new form of raw material in the digital economy. This framing has enabled massive asymmetries: data flows from users and communities to platform companies, generating value that is captured elsewhere. For Africa, which has historically suffered from extractive economic relationships, this pattern is disturbingly familiar.
Ubuntu suggests a different framing. Data about persons and communities is not merely a resource but a form of relational information, it reflects who people are in relation to one another. Its collection and use should be governed by relational principles: consent, reciprocity, and mutual benefit. African nations should explore collective data governance models, including data trusts and data cooperatives, that give communities meaningful control over how information about them is used.
Algorithmic Accountability as Relational Responsibility
When AI systems cause harm, who is responsible? The current tendency is to diffuse accountability across complex technical and institutional systems in ways that leave no one answerable. Ubuntu's emphasis on relational obligation suggests a different approach: those who develop and deploy AI systems stand in relationship to those affected and must be prepared to answer to them.
This implies that AI governance should include robust mechanisms for communities to raise concerns, seek explanations, and obtain remedies when AI systems affect them adversely. African regulatory frameworks should ensure that AI deployers maintain genuine accountability relationships with affected communities, not through distant complaint mechanisms but through ongoing engagement and responsiveness.
Navigating Tensions and Trade-offs
A realistic approach must acknowledge that implementing Ubuntu principles in AI governance will involve genuine tensions. Here we consider several and suggest how they might be navigated.
Scale and Intimacy
Ubuntu emerged in contexts of relatively small-scale, face-to-face communities. AI systems often operate at massive scale, affecting millions of people who will never meet one another or those who designed the systems. How can relational ethics operate at such scale?
One response is to recognise that Ubuntu is not merely about personal intimacy but about structures that enable relational goods. Even large-scale systems can be designed to support rather than undermine local relationships. A national health information system, for instance, can be designed to strengthen the relationship between community health workers and the families they serve, rather than replacing that relationship with algorithmic triage. The question is not whether AI operates at scale but whether its scale serves or subverts relational flourishing at the local level.
Efficiency and Relationality
AI's most celebrated benefits often involve efficiency: faster processing, lower costs, reduced friction. Relational values can appear to conflict with efficiency, genuine participation takes time, building trust requires patience, maintaining accountability relationships demands resources.
Here, the realism component of values-based realism becomes essential. Ubuntu does not require rejecting efficiency as a value but rather subordinating it to relational goods. Sometimes efficiency gains are genuine improvements that free human energy for more relational work. Sometimes they are false economies that generate hidden costs in trust, cohesion, and human capability. Wisdom lies in distinguishing the two, and this requires the very relational processes (community input, ongoing dialogue, attentiveness to lived experience) that efficiency-only approaches tend to short-circuit.
Universal Principles and Cultural Particularity
Some may worry that grounding AI ethics in Ubuntu privileges one cultural tradition over others, that it represents a form of African particularism inappropriate for technologies with global reach.
This concern, while understandable, rests on a false dichotomy. Ubuntu articulates insights about human relationality that resonate across cultures, even if they are expressed in distinctive vocabulary. The recognition that humans are fundamentally social, that dignity requires acknowledgment, that we bear obligations to one another, these are not uniquely African insights but human ones that African philosophy has developed with particular depth and sophistication. Moreover, the current global conversation is already shaped by particular traditions (largely Western liberal individualism); bringing Ubuntu into dialogue enriches rather than provincialises that conversation.
Institutional Recommendations
The following concrete recommendations are offered for consideration by African institutions engaged in AI governance:
For Governments: Establish AI governance frameworks that explicitly incorporate relational values. Create requirements for participatory impact assessment of AI systems, with particular attention to effects on community cohesion and social trust. Invest in digital literacy and community technology capacity to enable meaningful participation in AI governance. Develop African data governance models that ensure communities benefit from data about them.
For Technology Developers: Adopt design methodologies that centre community relationships, not just individual users. Develop and publish relational impact metrics alongside conventional performance measures. Maintain genuine accountability relationships with communities affected by your systems, including accessible feedback mechanisms and responsive remediation processes.
For Civil Society: Build capacity for community engagement with AI governance, including technical literacy and advocacy skills. Monitor AI deployments for relational harms, not only individual rights violations. Articulate Ubuntu-informed visions of AI that can compete in the global marketplace of ideas.
For Academic Institutions: Develop research programmes that deepen understanding of Ubuntu's implications for AI. Create curricula that equip the next generation of African technologists with both technical skills and ethical grounding. Foster interdisciplinary collaboration between computer scientists, philosophers, social scientists, and community representatives.
For Regional Bodies: Coordinate African positions in global AI governance forums to ensure Ubuntu perspectives are represented. Develop continental frameworks for ethical AI that reflect African philosophical traditions. Facilitate knowledge sharing across African nations on Ubuntu-informed AI governance innovations.
Conclusion: Africa's Gift to the Global Conversation
The emergence of artificial intelligence presents humanity with profound questions about what kind of future we wish to create. These questions cannot be answered by technical expertise alone; they require substantive visions of human flourishing rooted in deep philosophical reflection.
Africa is not merely a recipient of AI systems developed elsewhere, nor a market to be penetrated, nor a source of data to be extracted. Africa is a contributor to humanity's collective wisdom about how to live well together. Ubuntu represents centuries of sophisticated thinking about the conditions for human flourishing, thinking that is urgently relevant to the challenges posed by AI.
Values-based realism, grounded in Ubuntu, offers Africa a way to engage with AI that is neither naively optimistic nor defensively reactionary. It acknowledges AI's transformative potential while insisting that such transformation serve the deepening of human relationship rather than its attenuation. It accepts the constraints of power and resources while refusing to abandon substantive ethical commitment.
This is Africa's moment to shape the global conversation about AI. Let us bring our best philosophical resources to that conversation. Let us insist that umuntu ngumuntu ngabantu, that a person is a person through other persons—has something essential to teach the world about what artificial intelligence should be for.
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About this article: This advisory paper was prepared to support African leadership in AI governance. It draws on the philosophical tradition of Ubuntu to articulate a values-based realist approach to artificial intelligence that is both ethically grounded and practically engaged. Readers are encouraged to adapt these frameworks to their specific institutional and national contexts.
