Accueil

In an era where Artificial Intelligence (AI) is rapidly advancing and influencing various sectors, the fields of economics and management are experiencing profound transformations. AI technologies are reshaping traditional approaches, introducing innovative solutions, and presenting new challenges that require critical examination and adaptation. The "1st International Conference on Applied Artificial Intelligence in Economic and Management Sciences" aims to explore these dynamic changes and their implications for both theoretical and practical aspects of economics and management. This conference seeks to bring together researchers, practitioners, and policymakers to discuss the integration of AI in economic modeling, business innovation, and management practices. Topics: - AI in Economic Modeling: Investigating how AI tools, such as machine learning and advanced data analytics, can refine economic forecasting, policy development, and decision -making processes. - AI and Business Innovation: Analyzing the role of AI in driving innovation, transforming business operations, and creating competitive advantages across industries. - AI in Management Practices: Exploring the impact of AI on management strategies, including human resources, strategic planning, and operational efficiency. - Ethical and Societal Implications: Addressing the ethical considerations, societal impacts, and regulatory challenges associated with the application of AI in economic and management contexts. - Case Studies and Practical Applications: Presenting real-world examples and case studies that highlight successful AI implementations, challenges faced, and lessons learned. Objectives: - To deepen the understanding of AI's influence on economic theories and business practices. - To provide insights into the practical applications and impacts of AI in management. - To foster interdisciplinary dialogue among economists, business leaders, technologists, and policymakers. - To identify emerging trends, challenges, and opportunities at the intersection of AI with economics and management. Target Audience: Academics, researchers, industry professionals, policymakers, and students with an interest in the convergence of AI with economics and management.