Public Health and AI-Driven Interventions AI’s application in public health emerged as a key theme, covering pandemic response and healthcare equity. Dr. Li Alvin from HKUST shared research on AI-powered early warning systems for infectious diseases, which can predict outbreak hotspots 2-3 weeks in advance, improving preparedness. Prof. Kira Matus emphasized the need for ethical AI in healthcare, advocating for transparency to address algorithmic biases affecting vulnerable populations. Social Equity and Technological Inclusion Session C1 tackled the digital divide, revealing that socio-economic factors hinder rural students in India from accessing digital learning. Dr. Dey Motti called for targeted policies to bridge this gap. Discussions also addressed the impacts of algorithmic management on gig workers, proposing regulatory reforms for fair compensation and oversight. The 2025 AUA AP-PPN Conference concluded with critical insights into leveraging AI and data science for governance, public health, and urban development. Key takeaways emphasized adaptive governance for disruptive technologies, balancing innovation with ethics through multi-stakeholder collaboration. For public health, data-driven solutions and equitable access to AI tools emerged as vital. In urban contexts, context-specific tech integration—like Hong Kong’s green building frameworks and Jakarta’s air quality systems—highlighted sustainability’s link to local needs. Addressing digital divides and regulatory gaps across Asia remained pressing. The conference underscored that inclusive, transparent policymaking, drawing on global and regional experiences, is key to harnessing technology for equitable, sustainable development in Asia. 38 Conferences and Events
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