BRICS+ nations diverge sharply on AI governance, ethics and policy frameworks

Across the BRICS+ countries, AI development is shadowed by significant ethical concerns. Surveillance, algorithmic bias, digital exclusion, and employment displacement emerge as recurrent challenges in the study. The governance models in place often fail to provide adequate checks and balances against these risks.

The global governance of artificial intelligence (AI) has emerged as a critical issue shaping economic, political, and ethical futures. A new study provides a detailed assessment of how BRICS and newly expanded BRICS+ countries are responding to the unprecedented challenges and opportunities posed by AI technologies. The research, titled "Governance in the Age of Artificial Intelligence: A Comparative Analysis of Policy Framework in BRICS Nations," is published in AI Magazine.

Based on qualitative meta-content analysis of 251 peer-reviewed papers from 2015 to 2024, the study presents a sweeping comparative evaluation of policy frameworks in nine countries: Brazil, Russia, India, China, South Africa, Egypt, Ethiopia, Iran, and the United Arab Emirates. It interrogates the role of legal structures, political systems, stakeholder dynamics, ethical dilemmas, and international collaboration in shaping AI governance strategies in the Global South.

How are BRICS+ countries structuring AI governance?

The study identifies stark contrasts in governance structures across the BRICS+ bloc, ranging from participatory democracies to authoritarian systems. Federal democracies like Brazil, India, and Ethiopia exhibit multi-tiered governance frameworks where responsibilities are decentralized among federal, state, and municipal levels. These systems foster broader stakeholder engagement but face hurdles related to digital inequality and implementation consistency.

On the other hand, centralized regimes such as China, Russia, Iran, and the UAE adopt top-down AI governance strategies that allow for swift policy execution and national agenda alignment. While this accelerates innovation and strategic rollouts, it often comes at the expense of transparency, civil liberties, and public accountability. South Africa and Egypt occupy an intermediate space, combining centralized policymaking with constitutional or semi-presidential models that allow limited stakeholder input.

The political ecosystem strongly influences how each nation integrates AI into its socio-economic strategies. Brazil, India, and South Africa focus on inclusive development, innovation, and bridging the digital divide. China and Russia emphasize national security and global competitiveness, embedding AI in defense and surveillance architectures. Ethiopia, Egypt, Iran, and the UAE aim to leverage AI for modernization and regional leadership, though constrained by infrastructural gaps and limited political pluralism.

What ethical risks accompany AI expansion in the Global South?

Across the BRICS+ countries, AI development is shadowed by significant ethical concerns. Surveillance, algorithmic bias, digital exclusion, and employment displacement emerge as recurrent challenges in the study. The governance models in place often fail to provide adequate checks and balances against these risks.

Brazil grapples with racial bias in facial recognition systems, especially affecting Afro-Brazilian communities, and digital exclusion in rural and Indigenous regions. Russia's AI initiatives are entangled with surveillance and defense agendas, raising alarms over privacy, autonomous weapons, and algorithmic opacity in public systems.

India's AI trajectory is marked by predictive policing, caste-based bias in algorithms, and a widening digital divide exacerbated by unequal access to digital education. In China, the state-led social credit system and mass surveillance draw international scrutiny, while lack of transparency in policy-making compounds ethical concerns.

South Africa faces AI-induced amplification of racial and economic disparities, particularly in hiring and credit systems. Egypt and Ethiopia contend with weak data protection, limited digital rights awareness, and job insecurity due to automation. Iran's AI ecosystem is shaped by censorship, surveillance, and military priorities, while the UAE contends with civil liberties trade-offs in AI-driven public services.

Despite these challenges, legal protections remain inconsistent. Only a few countries, such as Brazil and South Africa, have implemented robust data protection frameworks. Others operate with partial, draft, or non-existent legislation, leaving critical gaps in ethical governance. Civil society engagement is minimal or suppressed in most centralized regimes, limiting opportunities for rights-based reform.

What policy recommendations does the study offer?

To address these challenges, the authors outline a comprehensive suite of actionable policy recommendations for each country. These include legal reforms, institutional oversight, educational investments, and international cooperation.

Brazil is advised to strengthen its data protection authority, enforce algorithmic transparency, and bridge the digital divide through AI literacy campaigns. Russia is encouraged to institutionalize ethical oversight, create independent auditing mechanisms, and broaden stakeholder participation despite its centralized structure.

India is urged to adopt AI-specific legislation that upholds accountability and digital rights, particularly for marginalized populations. China should implement comprehensive data privacy laws and establish independent regulatory bodies to oversee AI's use in law enforcement and healthcare.

South Africa's strategy should center on expanding digital infrastructure, mandating ethical audits, and launching reskilling programs. Egypt and Ethiopia are recommended to enact rights-based data laws and involve underrepresented communities in policymaking. Iran is called upon to establish a national ethical framework and enable multi-sectoral engagement despite political constraints. The UAE is advised to enhance transparency, strengthen legal safeguards, and improve public awareness through ethical AI campaigns.

Regional and international collaboration plays a key role in harmonizing ethical standards and fostering responsible AI deployment. Countries like Brazil, India, and the UAE are already demonstrating high levels of international engagement, while others lag due to geopolitical isolation or domestic restrictions.

The study calls for vigilant, inclusive, and globally informed policymaking to ensure that AI technologies serve the public good and align with democratic values.