Advancing AI-Driven Decision Systems: Interdisciplinary Approaches and Applications

Abstract

Artificial Intelligence (AI) has emerged as a transformative force, reshaping industries, economies, and societies worldwide. As AI technologies advance, they present unprecedented opportunities, including enhanced efficiency, automation, data-driven decision-making, and innovations across multiple sectors such as healthcare, education, and finance. However, alongside these opportunities, AI also poses significant risks, including ethical dilemmas, job displacement, algorithmic biases, security vulnerabilities, and concerns related to autonomy and decision-making in critical sectors. The dual nature of AI necessitates a balanced approach that maximizes its potential while mitigating its risks. This paper explores AI as a catalyst for global change, analyzing its positive impacts, challenges, and implications for the future. The research highlights key areas such as ethical AI development, regulatory frameworks, and sustainable AI integration to ensure that technological progress aligns with human-centric values. Moreover, the study examines AI's role in fostering economic growth, addressing global issues such as climate change, and bridging digital divides. The paper also evaluates existing policies and strategies to manage AI risks while fostering innovation. By critically analyzing the ethical, social, and economic dimensions of AI, this research provides a comprehensive perspective on how AI can be harnessed responsibly for global progress. Ultimately, the study emphasizes that the future of AI depends on a collaborative effort among policymakers, researchers, and industry leaders to create an inclusive, ethical, and sustainable AI ecosystem.