The central objective of this conference is to investigate the intricate interconnections between sustainable development, healthcare, and business, with Artificial Intelligence (AI) serving as a catalytic and unifying force. While these domains differ in their operational frameworks, they converge on the shared imperatives of innovation, efficiency, and systemic resilience, principles that AI is uniquely positioned to enhance. Through interdisciplinary engagement, the conference aims to illuminate how AI can be strategically harnessed to foster equitable growth and enable the emergence of a technologically empowered society.

AI has already begun to redefine sectoral landscapes. Businesses are increasingly leveraging AI to elevate customer experiences, reduce inefficiencies, and stimulate economic momentum. Nonetheless, the rapid deployment of AI also raises critical concerns – ranging from data ethics and algorithmic bias to disparities in digital access – that demand rigorous scholarly and policy attention. Addressing these challenges is essential to ensure that AI driven transformation remains inclusive, accountable, and aligned with the broader goals of sustainable development.

From a policy standpoint, AI offers unprecedented opportunities to reshape governance and public administration by enabling data-driven, evidence-based decisionmaking. Governments can utilize AI to process vast datasets, identify societal trends, and develop anticipatory, adaptive policies across areas such as urban planning, environmental conservation, and crisis response. By enhancing the precision and effectiveness of public policy, AI holds the potential to strengthen institutional responsiveness and promote long-term sustainability. However, this transformative potential must be matched by the establishment of robust ethical standards and regulatory frameworks to mitigate risks related to bias, privacy, and accountability.