AI Governance in the Global South: Building Inclusive Financial Futures Amid Challenges

AI Governance in the Global South: Turning Risk into Relevance

The recent introduction of AI Governance Guidelines by Indonesia’s Financial Services Authority (OJK) marks a pivotal moment for the adoption of AI in the financial sectors of developing countries. Released on April 29, 2025, these guidelines provide Indonesian banks with clear regulatory certainty, encouraging the effective use of AI technologies.

AI has a strong potential to improve operational efficiency, deliver personalized financial services, and promote financial inclusion in developing regions. Applications like credit process automation, data-driven risk assessments, and responsive customer service have already shown success in lowering operational costs and expanding access to financial services for underserved populations.

Balancing Opportunities and Risks

Despite these benefits, AI deployment involves risks such as data privacy concerns, algorithmic biases that can deepen social inequalities, lack of transparency in AI decision-making, and possible systemic disruptions if left unregulated. Addressing these challenges requires comprehensive AI governance frameworks that emphasize ethics, transparency, accountability, and system resilience.

OJK’s guidelines reflect a proactive stance, covering essential aspects like AI ethics, transparency in algorithms, institutional responsibility, and robustness against systemic risks. This approach positions Indonesia as a leading example for other developing countries grappling with AI risk management.

Global South’s Progress in AI Governance

• Brazil has implemented an AI regulatory framework focused on algorithmic transparency and consumer protection within its banking sector.
• India emphasizes digital inclusion and economic empowerment through its National AI Strategy, with the Reserve Bank of India overseeing algorithmic risks and data security.
• South Africa integrates ethical guidelines and data protection measures in its AI framework to ensure equitable benefits for society.

Challenges in AI Implementation

Despite progress, challenges persist. Unequal digital infrastructure, a shortage of skilled professionals, and immature legal frameworks limit AI adoption. Additionally, reliance on foreign AI technologies raises concerns about technological dependency and social risks like job displacement due to automation.

Effective AI governance demands collaboration across government, private sector, academia, and civil society. Involving civil society in regulation and oversight is crucial to create inclusive AI policies and reduce negative socioeconomic impacts. Building local technological capabilities is also essential to decrease dependence on external providers.

Strategic Regulatory Approaches

Developing countries should adopt adaptive AI regulations that welcome global innovations but address local challenges directly. These frameworks need to support innovation while maintaining strong ethical standards, protecting consumers, and promoting social justice.

Regulations should also encourage industries to develop AI solutions focused on local priorities such as:

• Enhancing financial inclusion for vulnerable groups
• Reducing poverty
• Improving financial literacy

Collaboration and Knowledge Sharing

Sharing experiences among Global South countries will help build a fair and sustainable AI ecosystem. Joint research, policy dialogues, and cross-border literacy initiatives involving governments, academia, industry, media, and civil society can ensure AI solutions meet local needs effectively.

These collaborative platforms should actively support AI innovations that address unique regional challenges, fostering digital sovereignty and a technological order grounded in local realities.

Indonesia’s OJK guidelines serve as both a call to action and a practical example for other developing countries. Through cooperation and well-structured governance, AI can deliver tangible benefits in the financial sector while protecting society from unintended consequences.

For finance professionals interested in gaining practical AI skills to navigate these changes, exploring structured learning paths can be valuable. Resources like Complete AI Training’s latest AI courses offer targeted education on AI applications in finance and compliance.