OBJECTIVE OF THE CONFERENCE
The Summit’s core objective was to foster rigorous, informed, and solution-centric deliberations that paved the way toward evolving a cohesive, human-centric, and ethically robust international AI governance architecture.
- Facilitated rigorous and solution-focused discussions to build a cohesive, human-centric, and ethically sound international AI governance framework.
- Operationalized risk-based AI regulatory models, drawing insights from global instruments such as the EU AI Act.
- Worked toward harmonizing national AI laws with universal human rights standards and international normative frameworks, including those of the UN, UNESCO, and OECD.
- Established principles for liability attribution related to AI harms and addressed challenges concerning algorithmic discrimination and bias mitigation.
- Examined governance issues around quantum computing, including implications for cryptographic standards and national security.
- Defined legal recognition and oversight mechanisms for decentralized autonomous organizations (DAOs) and blockchain ecosystems.
- Strengthened algorithmic transparency and explainability obligations as constitutional or statutory imperatives.
- Developed ethical jurisprudence governing autonomous systems in critical sectors such as healthcare, transportation, and defence.