Human-Centric AI Governance: Ensuring Dignity and Equity

Human-Centric AI Governance for Inclusive Global Progress

Syllabus:

GS-2: Government Policies & Interventions

GS-3: IT & Computers, Artificial Intelligence

Why in the News ?

The debate on Artificial Intelligence (AI) governance has gained prominence after Pope Leo XIV’s encyclical Magnifica Humanitas (2026) and Prime Minister Narendra Modi’s MANAV framework highlighted the need for ethical, inclusive, and human-centric AI. Their converging visions emphasize dignity, accountability, equity, and welfare in the AI era.

Emergence of a Shared Global Vision on AI:

• The rapid advancement of Artificial Intelligence has transformed economies, governance, education, healthcare, and security.
• Diverse civilizations are increasingly recognizing the need for a common ethical framework for AI.
• Pope Leo XIV’s Magnifica Humanitas and PM Modi’s MANAV framework present remarkably similar principles despite originating from different traditions.
• Both frameworks emphasize that technology should remain a servant of humanity rather than its master.
• They reject purely technocratic approaches that prioritize efficiency over human welfare.
• The convergence demonstrates that ethical concerns surrounding AI transcend national, cultural, and religious boundaries.
• It reflects the emergence of a global consensus on responsible AI governance.

Human Dignity as the Core Principle

• Both leaders place the human person at the centre of AI development.
• Pope Leo XIV warns against new forms of dehumanization emerging through technological systems.
• PM Modi stresses that technology exists to serve humanity and not replace it.
• AI systems should enhance human capabilities rather than diminish human agency.
• Human dignity must remain the ultimate benchmark for evaluating technological progress.
• Excessive automation should not undermine individual autonomy and freedom.
• AI governance frameworks should prioritize ethical outcomes over technological sophistication.
• Human-centric AI aligns with constitutional values of dignity, equality, and justice.

AI for Welfare and the Common Good

• Both frameworks advocate using AI for the common good rather than narrow commercial interests.
• The Catholic principle of “common good” aligns with the Indian philosophy of Sarvajana Hitaya, Sarvajana Sukhaya.
• AI should contribute to better healthcare, education, agriculture, disaster management, and governance.
• Technological innovation must be assessed through its impact on human well-being.
• AI can help bridge developmental gaps when deployed responsibly.
• Public interest should guide AI deployment rather than profit maximization alone.
• Inclusive innovation can improve quality of life across social and economic groups.
• Welfare-oriented AI strengthens sustainable and equitable development.

Risks of AI-Induced Inequality

• Both leaders caution against AI deepening existing inequalities.
• Access to data, computing power, talent, and digital infrastructure remains concentrated in a few countries and corporations.
• Unequal AI access may widen the digital divide between developed and developing nations.
• Concentration of technological capabilities can create new forms of economic dominance.
• Marginalized communities risk exclusion from AI-driven opportunities.
• AI monopolies may undermine competition and innovation.
• Developing countries could become passive consumers rather than active creators of AI technologies.
• Democratic access to AI resources is essential for equitable growth.

Addressing Algorithmic Bias and Cultural Representation

•     AI systems often reflect biases present in training datasets.
•     The appearance of neutrality makes algorithmic bias particularly dangerous.
•     Western-centric datasets may inadequately represent linguistic and cultural diversity.
•     PM Modi highlights the need for AI systems that reflect India’s regional and cultural realities.
•     Biased algorithms can perpetuate discrimination in hiring, lending, policing, and governance.
•     Fairness, transparency, and explainability must be integrated into AI design.
•     Diverse datasets improve representativeness and reduce exclusion.
• Ethical AI requires active efforts to eliminate hidden prejudices.

Future of Work and Human Dignity

•     Automation has generated concerns about job losses and workforce displacement.
•     PM Modi emphasizes that technological revolutions historically transformed rather than eliminated work.
•     New industries and employment opportunities often emerge alongside innovation.
•     Pope Leo XIV stresses that meaningful work remains central to human dignity.
•     AI-driven productivity gains must be accompanied by workforce reskilling.
•     Governments should invest in education and lifelong learning.
•     Social protection mechanisms are necessary during technological transitions.
• Human labour should complement AI rather than be rendered obsolete.

Global Governance Through the MANAV Framework

•     AI governance requires collective international action.
•     PM Modi’s MANAV framework offers a comprehensive governance model:

○       M – Moral and Ethical Systems

○       A – Accountable Governance

○       N – National Sovereignty

○       A – Accessible and Inclusive Development

○       V – Valid and Legitimate Systems

•     The framework seeks to balance innovation with accountability.
•     It promotes sovereign decision-making while encouraging global cooperation.
•     Pope Leo XIV similarly warns against allowing a handful of actors to dictate AI’s future.
•     Inclusive governance ensures that developing countries participate in shaping AI norms.
• International cooperation can help establish universally accepted ethical standards.

Challenges in AI Governance :

•     Concentration of Power: AI capabilities are dominated by a few multinational corporations and countries.
•     Algorithmic Bias: Training datasets often contain social, racial, cultural, and gender biases.
•     Data Privacy Risks: Massive data collection threatens individual privacy and autonomy.
•     Job Displacement: Automation may affect low-skilled and repetitive occupations.
•     Digital Divide: Unequal access to AI infrastructure can widen socio-economic inequalities.
•     Regulatory Gaps: Existing laws struggle to keep pace with rapid technological developments.
•     Lack of Transparency: Many AI models function as “black boxes.”
•     Cybersecurity Threats: AI can be exploited for cyberattacks and misinformation campaigns.
•     Ethical Dilemmas: Questions regarding accountability, liability, and fairness remain unresolved.
•     Cross-Border Governance Issues: AI operates globally while regulations remain national.
•     Data Monopoly: Large firms control vast datasets necessary for AI development.
•     Deepfakes and Disinformation: AI-generated content threatens trust in information ecosystems.
•     National Security Concerns: AI applications in military systems raise ethical questions.
•     Cultural Exclusion: Underrepresentation of Global South languages and contexts.
• Environmental Costs: AI systems require significant computational resources and energy.

Way Forward:

•     Human-Centric Design: Ensure AI development prioritizes human dignity and welfare.
•     Adopt Ethical Frameworks: Integrate principles such as fairness, transparency, and accountability.
•     Strengthen AI Regulation: Develop comprehensive legal frameworks governing AI deployment.
•     Promote Inclusive Innovation: Expand access to AI technologies in developing countries.
•     Enhance Digital Infrastructure: Improve connectivity and computing capacity nationwide.
•     Support Workforce Reskilling: Invest in AI-related education and skill development programs.
•     Encourage Open Data Ecosystems: Facilitate equitable access to high-quality datasets.
•     Develop Explainable AI: Improve transparency and interpretability of algorithms.
•     Strengthen Data Protection: Implement robust privacy and cybersecurity safeguards.
•     Promote Global Cooperation: Establish international standards for AI governance.
•     Reduce Technological Monopolies: Encourage competition and innovation.
•     Incorporate Cultural Diversity: Build datasets representing multiple languages and communities.
•     Ensure Democratic Oversight: Involve civil society, academia, and governments in AI policymaking.
•     Leverage AI for Public Good: Focus on healthcare, agriculture, education, and governance.
• Implement the MANAV Framework: Use ethical, accountable, inclusive, and sovereign approaches to guide AI development.

Conclusion :

The convergence between Magnifica Humanitas and the MANAV framework highlights a universal truth: technological progress must remain rooted in human dignity, justice, and welfare. As AI reshapes societies, ethical governance, inclusive participation, and global cooperation will determine whether artificial intelligence becomes a force for empowerment or exclusion.

Source: Mint

Mains Practice Question :

“Artificial Intelligence governance requires ethical frameworks that place human dignity at the centre of technological development.” Examine this statement in light of the MANAV framework and emerging global debates on AI ethics. Discuss the challenges of ensuring inclusive, accountable, and human-centric AI governance in the 21st century.