A common framework to build trust in AI in Asia, Pg7

Key Highlights:

• AI offers potential for advancements in public health, education, and productivity across Asia-Pacific.
• AI transformation is uneven across South Asia and Southeast Asia, raising concerns about safety, bias, and accountability.
• A common framework is needed to build trust in AI ecosystems across Asia, addressing cybersecurity, bias mitigation, and accountability.
• India's AI Governance Guidelines emphasize trust as the foundation for AI development and adoption.
• South Korea's AI Basic Act, effective January 22, 2026, aims to establish trustworthiness in AI.
• A trusted AI ecosystem relies on trusted datasets, resilient infrastructure, AI skills, and proportionate governance.
• India is well-positioned to lead the establishment of a shared framework for measuring trust in AI ecosystems in Asia.

Detailed Insights:

• AI ecosystems are transnational, facing challenges in data flows, hardware interdependence, infrastructure supply chains, and cybersecurity.
• Developing countries in South and Southeast Asia risk becoming consumers of AI systems with limited influence.
• Asian economies' AI policies emphasize building trust, but agendas differ based on technological capabilities and resources.
• A common framework should reflect regional realities and align with global norms, including cybersecurity and risk mitigation.
• Trusted datasets, anchored in Digital Public Infrastructure, should reflect Asia's linguistic, cultural, and social diversity.
• Resilient AI infrastructure requires reliable access to compute, energy, and cloud resources, withstanding disruptions.
• Proportionate AI governance balances innovation with accountability, addressing misinformation and liability without hindering development.
• Cybersecurity is crucial for safeguarding AI systems against AI-enabled threats and attacks.
• India's approach to AI governance, with techno-legal solutions, can help establish governance mechanisms.
• The AI Impact Summit in India offers an opportunity to advance a shared framework for measuring trust in AI ecosystems.

Key Concepts Involved:

• AI Ecosystem: Interconnected network of technologies, data, processes, and stakeholders involved in AI development and deployment.
• Digital Public Infrastructure (DPI): Shared digital platforms and systems that enable essential services and promote innovation.
• AI Governance: Frameworks, policies, and regulations that guide the responsible development and use of AI.